mRNA Vaccine Platforms and Lipid Nanoparticle Delivery Systems: Molecular Advances, Clinical Breakthroughs, and Regulatory Perspectives (2020–2025) | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Systematic Review mRNA Vaccine Platforms and Lipid Nanoparticle Delivery Systems: Molecular Advances, Clinical Breakthroughs, and Regulatory Perspectives (2020–2025) Taruna Ikrar, Wachyudi Muchsin, Alfi Sophian This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9109248/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background: The success of mRNA vaccines against COVID-19 has catalyzed a paradigm shift in vaccinology. Messenger RNA (mRNA)-based platforms offer exceptional design flexibility, rapid manufacturing, and antigen-agnostic modularity, yet their full translational potential — spanning infectious disease prophylaxis, personalized cancer immunotherapy, and regulatory implementation in low- and middle-income countries — remains incompletely synthesized from a regulatory science perspective. Main body: This systematic review, conducted in accordance with PRISMA 2020 guidelines across PubMed/MEDLINE, Scopus, Web of Science, and ClinicalTrials.gov (January 2020–February 2025), synthesizes 68 peer-reviewed studies on four thematic pillars: (1) mRNA platform biology and engineering; (2) lipid nanoparticle (LNP) formulation and targeted delivery; (3) clinical-stage mRNA vaccines for HIV, RSV, influenza, CMV, and emerging pathogens; and (4) personalized cancer vaccines. Key findings include: the individualized neoantigen therapy mRNA-4157 (V940) plus pembrolizumab demonstrated a 44% reduction in recurrence or death in resected melanoma (KEYNOTE-942, Phase IIb); mRNA-1345 (mRESVIA) achieved 83.7% efficacy against RSV lower respiratory tract disease and received EMA approval in June 2024; eOD-GT8 60mer induced HIV broadly neutralizing antibody precursors in 97% of Phase I participants; and next-generation selective organ-targeting (SORT) LNPs now enable tissue-specific mRNA delivery beyond hepatic default. Critically, this review — authored by scientists at Indonesia’s BPOM, one of the largest NMRAs among LMICs — is the first to systematically integrate regulatory science into an mRNA vaccine evidence synthesis, evaluating approval pathways, cold-chain constraints, pharmacovigilance requirements, and equitable access challenges from the standpoint of an LMIC NMRA: a dimension entirely absent from all five most recent systematic reviews in this field. Conclusion: mRNA-LNP technology represents a transformative and versatile vaccine platform with proven efficacy across oncology and infectious disease. Realizing its full global potential demands coordinated advances in thermostable formulation, manufacturing scalability, and fit-for-purpose regulatory frameworks in LMICs. The evidence synthesized here provides a molecular and regulatory roadmap for the next generation of mRNA vaccine development and approval through 2030. Vaccine Development mRNA vaccine lipid nanoparticles cancer vaccine neoantigen HIV vaccine RSV vaccine personalized vaccine immunotherapy LNP delivery Figures Figure 1 Figure 2 Figure 3 1. Introduction Vaccination stands as one of the most impactful public health interventions in human history. From Edward Jenner's pioneering smallpox inoculation in 1796 to the global eradication of poliomyelitis and measles control, vaccines have fundamentally altered the burden of infectious disease. Yet, for decades, a handful of pathogens—HIV, respiratory syncytial virus (RSV), cytomegalovirus (CMV), and numerous cancers—remained beyond the reach of effective immunization, largely due to the biological complexity of their antigens or the limitations of conventional vaccine platforms.[ 1 ][ 2 ] The COVID-19 pandemic catalyzed an unprecedented acceleration in vaccine innovation. The emergency authorization of BNT162b2 (Pfizer-BioNTech) and mRNA-1273 (Moderna) in late 2020—less than twelve months after SARS-CoV-2 genomic sequencing—marked the first-ever commercial deployment of messenger RNA (mRNA)-based vaccines and validated the platform at global scale.[ 56 ][ 26 ][ 27 ][ 53 ][ 3 ][ 4 ] The mRNA vaccine platform offers several intrinsic advantages over traditional approaches. It does not require live or attenuated pathogens, eliminating associated biosafety concerns during manufacturing. It enables cell-free, fully synthetic production that is readily scalable. Crucially, the platform is antigen-agnostic: the same manufacturing infrastructure can produce vaccines for any target by simply substituting the encoded sequence. This modularity provides an unparalleled speed advantage in responding to emerging pathogens and supports the development of highly individualized therapeutic applications.[ 68 ][ 24 ][ 25 ][ 2 ][ 5 ] Central to the clinical success of mRNA vaccines is the lipid nanoparticle (LNP) delivery system. Naked mRNA is susceptible to rapid nuclease degradation, poorly taken up by cells, and highly immunostimulatory. LNPs protect the mRNA cargo, facilitate endosomal escape, and enable efficient cytoplasmic delivery, making them indispensable to the translational pipeline.[ 36 ][ 52 ][ 11 ][ 17 ] Despite a rapidly expanding body of mRNA vaccine literature, existing reviews share a critical blind spot: they are written exclusively from the perspective of academic or industrial researchers in high-income settings. No prior systematic review has evaluated the mRNA-LNP landscape through the lens of a national medicines regulatory authority (NMRA) operating in a lower-middle-income country (LMIC), where approval frameworks, cold-chain infrastructure, manufacturing capacity, and health technology assessment processes differ fundamentally from those in Europe or North America. The present review addresses this gap directly. Authored by scientists at the Indonesian Food and Drug Authority (BPOM) — the NMRA of the world’s fourth most populous nation and a middle-income country with over 275 million people — this work uniquely integrates molecular and clinical evidence with regulatory science, offering translational insights applicable to NMRAs across ASEAN, Sub-Saharan Africa, and Latin America, and informing how mRNA vaccine technology can be evaluated, approved, and deployed equitably in LMIC contexts. Furthermore, this review is the first to simultaneously synthesize the three-year KEYNOTE-942 follow-up data (2025), the EMA conditional approval of mRESVIA, and the IAVI G001 HIV immunogenicity findings within a single PRISMA-compliant systematic framework covering January 2020 to February 2025. The present review provides a comprehensive and critical synthesis of the most recent advances in mRNA vaccine research, organized around four thematic pillars: (1) the fundamental biology and engineering of mRNA platforms; (2) innovations in LNP formulation and targeted delivery; (3) clinical-stage mRNA vaccines for major infectious diseases; and (4) the rapidly evolving field of personalized cancer vaccines. We further address key translational challenges and delineate the projected research trajectory through 2030, with particular attention to regulatory implications for NMRAs in LMICs. This review targets an audience of immunologists, vaccinologists, translational researchers, clinicians, and regulatory scientists engaged in next-generation vaccine development and approval. 2. Methods This systematic review was conducted and reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. The study selection process is presented in Fig. 1 . A structured literature search was independently performed by two reviewers across PubMed/MEDLINE, Scopus, Web of Science (Core Collection), and ClinicalTrials.gov, covering the period from January 1, 2020, to February 15, 2025. Search terms, applied in Boolean combinations (AND/OR), included: "mRNA vaccine," "messenger RNA vaccine," "lipid nanoparticles," "LNP delivery," "cancer vaccine," "personalized vaccine," "neoantigen vaccine," "individualized neoantigen therapy," "HIV mRNA vaccine," "RSV mRNA vaccine," "self-amplifying RNA," "saRNA vaccine," "circular RNA vaccine," "broadly neutralizing antibody," "immunotherapy cancer," "mRNA-4157," "mRESVIA," and "eOD-GT8." Reference lists of included articles were hand-searched to identify additional eligible studies. Inclusion criteria comprised: (a) original research articles, systematic reviews, meta-analyses, or high-quality narrative reviews published in Q1-ranked journals; (b) clinical trials (Phase I–III) of mRNA vaccine candidates in human participants; (c) preclinical studies demonstrating mechanistic or translational significance; and (d) publications in English with accessible full text. Exclusion criteria included single case reports, conference abstracts without peer review, and articles with incomplete outcome data. As illustrated in Fig. 1 , a total of 412 records were initially identified. After duplicate removal and title/abstract screening, 95 full-text articles were assessed for eligibility. Following full-text evaluation, 68 articles met the final inclusion criteria and were included in the qualitative synthesis.. 3. The mRNA vaccine platform: biology and engineering 3.1 Mechanism of action Upon intramuscular injection, LNP-encapsulated mRNA is endocytosed primarily by dendritic cells and myocytes at the injection site. Following endosomal escape, the mRNA is translated by cytoplasmic ribosomes into the encoded antigen protein. Endogenously produced antigen is processed and presented via MHC class I molecules to CD8 + cytotoxic T lymphocytes (CTLs) and, following cross-presentation, via MHC class II to CD4 + T helper cells. The latter provide cognate help to B cells, driving antibody class-switching, affinity maturation in germinal centers, and the generation of long-lived plasma cells and memory B cells.[ 24 ][ 46 ][ 3 ][ 5 ] This dual engagement of cellular and humoral immunity is a defining advantage of the mRNA platform. Unlike subunit vaccines, which predominantly stimulate humoral responses, mRNA vaccines stimulate CTL responses essential for eliminating virus-infected or malignant cells. Furthermore, the LNP carrier itself acts as an endogenous adjuvant by activating innate immune sensors, including Toll-like receptors (TLR7/8) and the STING pathway, amplifying the adaptive immune response without the need for exogenous adjuvants.[ 2 ][ 7 ] 3.2 Nucleoside modification and mRNA optimization A critical obstacle in early mRNA vaccine development was the potent innate immunostimulatory activity of synthetic mRNA, mediated through pattern recognition receptors, which suppressed translation efficiency and caused systemic reactogenicity. The seminal discovery by Karikó and Weissman demonstrated that substitution of uridine with N1-methylpseudouridine (m1Ψ) dramatically reduced TLR-mediated innate immune activation while simultaneously increasing translational efficiency and protein yield.[ 21 ][ 22 ][ 23 ][ 3 ][ 6 ] Beyond nucleoside modification, contemporary mRNA optimization encompasses multiple engineering layers: (1) ARCA (anti-reverse cap analog) or CleanCap® chemistry for efficient 5'-cap incorporation, enhancing ribosomal recognition; (2) codon optimization based on human codon-usage frequency tables to maximize translational fidelity; (3) optimization of 5' and 3' untranslated regions (UTRs) to incorporate regulatory elements that enhance mRNA stability and translational efficiency; and (4) addition of a poly(A) tail of optimal length (typically 100–150 adenosines) to prevent deadenylation-mediated degradation.[ 47 ][ 2 ] 3.3 Next-generation RNA platforms Beyond conventional mRNA, several next-generation RNA modalities are under active development. Self-amplifying RNA (saRNA) incorporates the alphavirus replicase machinery, enabling intracellular amplification of the RNA and thereby achieving high-level antigen expression from microgram-range doses, compared with the milligram-range doses required for conventional mRNA.[ 10 ] Trans-amplifying RNA (taRNA) further improves the safety profile by encoding the replicase and the antigen of interest on separate molecules, preventing inadvertent expression of viral replicase proteins. Circular RNA (circRNA), a more nascent platform, offers resistance to exonucleolytic degradation by virtue of its covalently closed structure, potentially enabling sustained antigen expression in vivo.[ 1 ][ 31 ][ 33 ][ 32 ] The fundamental immunological mechanism underlying these RNA platforms is illustrated in Fig. 2 . Following intramuscular administration, lipid nanoparticle (LNP)-encapsulated mRNA is internalized by antigen-presenting cells via endocytosis. Subsequent endosomal escape releases mRNA into the cytoplasm, where ribosomal translation produces the encoded antigen. Processed peptides are presented through major histocompatibility complex (MHC) class I molecules to CD8 + cytotoxic T lymphocytes (CTLs) and via MHC class II molecules to CD4 + T helper cells. This coordinated activation promotes B-cell differentiation into antibody-secreting plasma cells and the generation of long-lived memory B and T cells. 4. Lipid nanoparticle delivery systems: advances and innovations 4.1 Composition and architecture of LNPs Lipid nanoparticles represent the most clinically advanced mRNA delivery technology and form the backbone of all approved mRNA vaccines. A canonical LNP formulation comprises four lipid components, each serving a distinct functional role:[ 38 ][ 11 ][ 17 ] (1) An ionizable lipid, the most critical component, which is protonated at acidic endosomal pH (~ 4–5), facilitating membrane destabilization and mRNA endosomal escape, while remaining neutral at physiological pH (~ 7.4), minimizing systemic toxicity. (2) A helper phospholipid (e.g., DSPC or DOPE), which provides structural bilayer integrity and modulates membrane fusion properties. (3) Cholesterol, which enhances membrane fluidity, structural stability, and endosomal membrane fusion efficiency. (4) A PEGylated lipid (PEG-lipid), which coats the particle surface, reducing aggregation, shielding immune recognition, and prolonging systemic circulation by preventing opsonization and clearance by the mononuclear phagocyte system.[ 36 ][ 37 ][ 15 ][ 16 ] LNP size, typically between 80 and 200 nm, is a critical parameter governing biodistribution, cellular uptake, and immunogenicity. Particles below 200 nm diffuse passively into lymphatic capillaries, enabling efficient drainage to regional lymph nodes for direct antigen presentation, whereas larger particles depend more on local phagocytic cell uptake.[ 14 ] 4.2 Ionizable lipid engineering: the critical variable The ionizable lipid is the single most important determinant of LNP efficacy and is the focus of the most intensive engineering efforts. Unlike early cationic lipids, which bear permanent positive charges associated with membrane toxicity and complement activation, ionizable lipids are designed with a pKa between 6.2 and 6.8 to optimize endosomal activity while maintaining near-neutral charge at physiological pH.[ 11 ][ 18 ] High-throughput screening combined with machine-learning models has dramatically accelerated the discovery of novel ionizable lipid structures. Key structural parameters include the lipid tail structure (degree of branching and unsaturation, which modulates membrane cone geometry and fusogenicity), the headgroup chemistry (which determines pKa and endosomal activity), and the linker region (which affects biodegradability and clearance kinetics). Degradable ester linkages in the lipid tail have been incorporated in several next-generation LNP formulations to facilitate rapid hepatic clearance and reduce long-term accumulation, improving the tolerability profile.[ 49 ][ 50 ][ 51 ][ 12 ] 4.3 Selective organ targeting and active targeting A major limitation of first-generation LNP formulations is preferential hepatic accumulation following systemic administration, driven by apolipoprotein E (ApoE) adsorption from serum and hepatocyte-selective LDL receptor-mediated uptake. For vaccine applications, delivery to lymph nodes and splenic immune cells is paramount, while for therapeutic RNA applications, targeting to tissues such as the lung, kidney, or brain is desirable.[ 14 ][ 19 ] The Selective ORgan Targeting (SORT) platform addresses this limitation by demonstrating that the addition of a supplemental charged lipid component predictably shifts LNP tropism toward specific tissues: cationic additives favor lung delivery, whereas zwitterionic additives redirect biodistribution toward the spleen.[ 14 ] Active targeting strategies under development include surface decoration of LNPs with mannose ligands for dendritic cell–specific targeting via the mannose receptor (CD206), anti-CD4 or anti-CD8 antibody fragments for lymphocyte-directed delivery, and DEC-205–targeting approaches to enhance follicular dendritic cell engagement, which is critical for germinal center reactions and durable memory B-cell formation.[ 19 ][ 48 ][ 52 ] A comparative overview of current RNA-based vaccine platforms, including their advantages, limitations, and representative clinical examples, is summarized in Table 1 . Table 1 Comparative overview of RNA-based vaccine delivery platforms. Platform Key Advantages Limitations Clinical Examples Conventional mRNA + LNP Clinically validated; rapid manufacturing; strong dual immunity Ultra-cold storage; transient expression; production cost BNT162b2, mRNA-1273 (COVID-19); mRESVIA (RSV); mRNA-4157 (melanoma) Self-amplifying RNA (saRNA) Microgram doses sufficient; prolonged antigen expression Larger construct; replicase immunogenicity risk; complex manufacture Phase I/II: influenza, HIV (IAVI G001) Trans-amplifying RNA (taRNA) Improved safety vs saRNA; replicase delivered separately Two-component delivery complexity; still preclinical for most targets Preclinical: RSV, influenza models Circular RNA (circRNA) Exonuclease-resistant; potentially very durable expression Unique translation initiation (IRES); largely preclinical stage Preclinical: cancer models, SARS-CoV-2 LNP: lipid nanoparticle; saRNA: self-amplifying RNA; taRNA: trans-amplifying RNA; circRNA: circular RNA; IRES: internal ribosome entry site. 5. mRNA vaccines for infectious diseases: clinical advances 5.1 Respiratory syncytial virus (RSV) RSV is the foremost viral cause of acute lower respiratory tract disease in infants, young children, older adults, and immunocompromised individuals, accounting for approximately 33 million acute lower respiratory infections and 3.6 million hospitalizations annually worldwide.[ 61 ][ 7 ] Despite more than four decades of unsuccessful vaccine development, largely derailed by the catastrophic enhancement observed with formalin-inactivated RSV in the 1960s, two major structural insights—the identification of the prefusion conformation of the RSV F protein as the dominant target for potently neutralizing antibodies, and structural stabilization strategies—enabled a new wave of successful vaccine candidates.[ 9 ] Moderna's mRNA-1345 encodes a stabilized prefusion F (DS-Cav1) protein delivered in an LNP. The pivotal Phase III randomized controlled trial enrolled 35,541 adults aged 60 years or older across 22 countries. Vaccine efficacy against RSV-associated lower respiratory tract disease with two or more signs and symptoms was 83.7% (96.36% CI: 66.1–92.2%) in the primary analysis. The safety profile was acceptable, with solicited injection-site and systemic reactions being mild to moderate and transient. Grade 3 adverse events occurred in 8.1% of vaccine recipients versus 4.3% of placebo recipients.[ 58 ][ 60 ][ 9 ] In June 2024, the European Medicines Agency (EMA) granted conditional marketing authorization to mRNA-1345 (trade name mRESVIA) for adults aged 60 years and above—marking the world's first regulatory approval of an mRNA vaccine for any indication beyond COVID-19 and representing a watershed moment in the field. Parallel programs are now evaluating maternal immunization strategies with mRNA RSV vaccines to confer passive antibody protection to neonates, a population with the highest RSV mortality burden.[ 3 ][ 6 ] 5.2 Human immunodeficiency virus (HIV) HIV-1 has resisted effective vaccine development for more than 40 years due to its extraordinary sequence diversity, continuous antigenic evolution driven by error-prone reverse transcription (~ 3 × 10⁻⁵ errors per base per replication cycle), the early establishment of latent reservoirs, and a dense glycan shield that sterically occludes conserved epitopes on the Env trimer from antibody recognition.[ 7 ] The mRNA platform is uniquely suited to address these challenges, enabling rapid iteration of immunogen design and precise control of antigen conformation. The International AIDS Vaccine Initiative (IAVI) G001 Phase I trial evaluated an mRNA-LNP vaccine encoding the engineered immunogen eOD-GT8 60mer—a self-assembling nanoparticle designed to engage the rare B cell precursors bearing the unmutated common ancestor of VRC01-class broadly neutralizing antibodies (bnAbs). The trial demonstrated induction of bnAb precursor B cells in 97% of vaccine recipients (35 of 36 evaluable participants), a remarkable immunological result that exceeded preclinical expectations. These precursor B cells are the necessary starting point for the sequential immunization strategies intended to guide their maturation into mature bnAb-secreting cells.[ 2 ][ 20 ][ 30 ][ 2 ][ 5 ] In parallel, preclinical studies in non-human primates have demonstrated sustained reduction in SHIV acquisition following mRNA-LNP Env vaccination, with sequential heterologous boosting strategies under evaluation to achieve tier-2 virus neutralization breadth.[ 29 ][ 2 ] The convergence of structure-guided immunogen design, germline-targeting strategies, and the modularity of the mRNA platform may finally render a broadly protective HIV vaccine tractable.[ 3 ] 5.3 Influenza: toward a universal vaccine Seasonal influenza vaccines require annual reformulation based on strain surveillance and incur variable efficacy (typically 20–60%) due to antigenic mismatch. The mRNA platform offers two transformative advantages: a rapid-response capability enabling strain-specific sequence updates within days of surveillance data, and the potential to encode multiple conserved antigenic targets across influenza subtypes (hemagglutinin stalk, neuraminidase, M2 ectodomain, nucleoprotein) to confer broad cross-reactive immunity—the concept of a "universal" influenza vaccine.[ 4 ][ 6 ] Moderna's quadrivalent mRNA influenza vaccine candidate (mRNA-1010) has completed Phase III clinical trials. Additional next-generation programs encode combinations of conserved internal antigens alongside the hemagglutinin head to broaden subtype coverage and reduce the annual vaccine strain selection dependency. A NIAID-sponsored program targeting pre-pandemic influenza subtypes (H5, H7) is evaluating mRNA vaccines as pandemic preparedness countermeasures.[ 45 ][ 6 ] 5.4 Cytomegalovirus, Zika, and emerging pathogens Cytomegalovirus (CMV) is the most common congenital infection worldwide and a major cause of morbidity in solid-organ and hematopoietic stem cell transplant recipients. Moderna's mRNA-1647 encodes six CMV antigens—including the gB protein and the pentameric complex essential for non-fibroblast cell entry—and demonstrated 42.0% efficacy against primary CMV infection in seronegative women in a Phase II trial, with Phase III enrollment now complete.[ 3 ] For emerging pathogens with pandemic potential, the mRNA platform's most decisive advantage is speed. Vaccine candidates against Nipah virus, Ebola virus, Marburg virus, Zika virus, and monkeypox have all been advanced to pre-clinical or early clinical evaluation using mRNA-LNP technology. Zika mRNA vaccine candidates have induced durable neutralizing antibodies and sterilizing protection in murine and NHP models. The strategic stockpiling of GMP-grade mRNA components and LNP formulation materials is increasingly recognized as a critical element of global pandemic preparedness infrastructure.[ 34 ][ 35 ][ 5 ][ 9 ] 6. mRNA cancer vaccines: clinical breakthroughs 6.1 Principles of personalized neoantigen vaccines Therapeutic cancer vaccines leverage the principle that tumor-specific somatic mutations generate neo-peptides—neoantigens—that are presented by tumor cell MHC molecules and recognized as foreign by the host T cell repertoire. Because each tumor harbors a unique mutational landscape, optimal neoantigen vaccines must be individually designed for each patient (individualized neoantigen therapy, INT), necessitating a manufacturing pipeline that integrates next-generation sequencing, bioinformatic neoantigen prediction, mRNA synthesis, and LNP formulation within a clinically actionable timeframe.[ 1 ][ 10 ][ 13 ][ 1 ][ 10 ] The neoantigen selection pipeline involves: (1) deep whole-exome and transcriptome sequencing of matched tumor and normal tissue; (2) somatic variant calling and filtering; (3) neoantigen prediction integrating HLA typing, MHC-I/II binding affinity algorithms (NetMHCpan, MHCflurry), mRNA expression levels, and tumor clonality; (4) synthesis of a polyepitope mRNA encoding 20–34 predicted neoantigens flanked by flexible linkers; and (5) LNP formulation and GMP release testing. Advances in computational pipeline efficiency and manufacturing automation have reduced the turnaround from tumor biopsy to first dose from approximately nine weeks to fewer than four weeks.[ 42 ][ 54 ][ 1 ][ 8 ] 6.2 mRNA-4157 (V940) for melanoma: a Phase IIb breakthrough The most clinically advanced personalized cancer vaccine is mRNA-4157 (V940; Moderna/Merck), currently in Phase III development. In the randomized, double-blind KEYNOTE-942 Phase IIb trial, 157 patients with completely resected high-risk Stage III/IV cutaneous melanoma were randomized 2:1 to receive mRNA-4157 plus pembrolizumab versus pembrolizumab monotherapy.[ 1 ][ 10 ] At the primary analysis (median follow-up 18 months), the combination arm demonstrated a statistically and clinically significant 44% reduction in the risk of recurrence or death compared with pembrolizumab alone (HR 0.56, 95% CI: 0.31–1.02, one-sided p = 0.053, meeting the pre-specified significance threshold). Three-year follow-up data presented in 2025 confirmed durable benefit, with the recurrence-free survival advantage widening over time, consistent with the hypothesis that mRNA vaccination continuously restimulates memory T cells against evolving tumor clones.[ 40 ][ 41 ][ 10 ][ 8 ] A global Phase III trial (KEYNOTE-942B) across multiple solid tumor indications (non-small cell lung cancer, bladder cancer, renal cell carcinoma) is now enrolling. Regulatory submissions for melanoma are anticipated in 2026, with potential first commercial approval of an mRNA cancer vaccine as early as 2028–2029.[ 1 ][ 10 ] 6.3 Targeting pancreatic cancer and glioblastoma Pancreatic ductal adenocarcinoma (PDAC) and glioblastoma multiforme (GBM) represent two of the most lethal solid tumors and are characterized by profoundly immunosuppressive tumor microenvironments and historically negligible responses to checkpoint blockade immunotherapy, in part because of their relatively low tumor mutational burden (TMB).[ 10 ] Nonetheless, early-phase clinical evidence suggests that mRNA neoantigen vaccines can generate neoantigen-specific T cell responses even in these immunologically cold tumors. A personalized mRNA-LNP vaccine for resected PDAC induced polyfunctional CD4 + and CD8 + T cell responses against patient-specific neoantigens in a subset of participants, with responders showing a trend toward improved relapse-free survival.[ 39 ][ 1 ] For GBM, blood-brain barrier penetrance remains the dominant delivery challenge; lipid-polymer hybrid nanoparticles and focused ultrasound-mediated LNP extravasation strategies are under preclinical investigation to enable intracranial mRNA delivery.[ 65 ][ 8 ] 6.4 The role of artificial intelligence in cancer vaccine design Artificial intelligence (AI) and machine learning have become indispensable components of the cancer vaccine development pipeline. Deep learning models—including transformer-based architectures—trained on large-scale immunopeptidomic datasets can predict MHC class I and MHC class II binding affinities with substantially greater accuracy than earlier position-weight matrix approaches, thereby improving the precision of neoantigen prioritization.[ 1 ][ 10 ] Beyond neoantigen prediction, AI applications extend to multiple stages of the development continuum. These include: (1) tumor immune microenvironment classification to identify patients most likely to benefit from vaccination; (2) codon optimization and mRNA secondary structure modeling to enhance translational efficiency and antigen expression; (3) lipid nanoparticle (LNP) formulation optimization using generative modeling frameworks; and (4) clinical trial outcome prediction to support adaptive trial design strategies. The integration of large-scale multi-omics datasets with AI-guided vaccine engineering represents a major frontier in precision immunotherapy.[ 1 ][ 43 ][ 44 ] The end-to-end manufacturing workflow of personalized mRNA cancer vaccines is illustrated in Fig. 3 . The process begins with tumor biopsy and germline DNA sampling, followed by whole-exome and transcriptomic sequencing. AI-driven neoantigen prediction informs the design of a personalized polyepitope-encoding mRNA construct, which is subsequently synthesized, formulated into LNPs, and subjected to quality control and Good Manufacturing Practice (GMP) release testing prior to patient administration. With current automation platforms, the complete manufacturing cycle has been reduced to fewer than four weeks. 7. Translational challenges and limitations 7.1 Cold-chain requirements and thermostability First-generation mRNA vaccines required storage at -70°C or below (BNT162b2) or -20°C (mRNA-1273), constraining equitable global deployment to settings with robust ultra-cold chain infrastructure. Thermostability is primarily limited by mRNA hydrolysis through 2'-OH-mediated self-cleavage and LNP component degradation (ionizable lipid oxidation and PEG-lipid hydrolysis) at elevated temperatures.[ 11 ][ 15 ] Significant progress has been achieved through lyophilization (freeze-drying) of LNP-mRNA formulations in the presence of cryoprotectants (sucrose, trehalose), which has yielded formulations stable at 2–8°C for 3–6 months without measurable loss of potency. Emerging approaches include spray-drying, solid lipid nanoparticle matrices, and encapsulation in carbohydrate glasses, each with the potential for room-temperature stable vaccine presentations suitable for low-resource settings.[ 60 ][ 62 ][ 15 ] 7.2 Manufacturing cost and equitable access The per-patient manufacturing cost of individualized neoantigen mRNA vaccines currently ranges from approximately US $ 50,000 to US $ 300,000, reflecting the cost of tumor sequencing, bioinformatic analysis, individualized GMP mRNA synthesis, formulation, and release testing. At these price points, personalized cancer vaccines are inaccessible to the vast majority of patients in low- and middle-income countries (LMICs).[ 8 ][ 1 ] Addressing this challenge requires parallel advances on multiple fronts: continuous improvement in synthesis automation and yields, reduction in sequencing costs (which have fallen ~ 10,000-fold since 2007), computational pipeline efficiency, regulatory pathways for accelerated release testing of individualized products, and innovative financing mechanisms. "Off-the-shelf" public neoantigen vaccines targeting shared driver mutations (e.g., mutant KRAS G12C/D/V in PDAC and non-small cell lung cancer) offer a complementary strategy that avoids individualized manufacturing entirely.[ 55 ][ 1 ] 7.3 Immunosuppressive tumor microenvironment Even when a robust vaccine-induced T cell response is generated, functional efficacy in solid tumors can be abrogated by the immunosuppressive tumor microenvironment (TME). Key mechanisms include: regulatory T cell (Treg) infiltration, myeloid-derived suppressor cell (MDSC) accumulation, upregulation of inhibitory checkpoint ligands (PD-L1, CTLA-4 ligands) by tumor and stromal cells, adenosine pathway suppression, and TGF-β-mediated T cell exclusion and dysfunction.[ 10 ][ 8 ] Rational combination strategies under clinical evaluation include: mRNA vaccines plus PD-1/PD-L1 checkpoint inhibitors (most advanced, as in KEYNOTE-942); plus CTLA-4 blockade (dual checkpoint combinations); plus agonistic CD40 antibodies or IL-2 cytokine variants to amplify T cell priming; and plus local intratumoral innate immune activators to remodel the TME toward a permissive phenotype. Combinations with adoptive cell therapies, including tumor-infiltrating lymphocyte (TIL) therapy, are also being explored.[ 67 ][ 10 ] 7.4 Reactogenicity and immunogenicity optimization of LNPs While the overall safety profile of LNP-mRNA vaccines is well established following administration of hundreds of millions of COVID-19 vaccine doses, solicited reactogenicity—including injection-site pain, fatigue, fever, and myalgia—remains common and may limit vaccine acceptability, particularly in cancer vaccine regimens requiring repeated dosing. The intrinsic immunostimulatory properties of ionizable lipid components can activate innate immune pathways, contributing to reactogenicity and, if excessive, potentially suppressing mRNA translation and antigen-specific immunogenicity.[ 15 ][ 18 ]. Several engineering strategies are under active investigation to mitigate these effects. These include the development of next-generation ionizable lipids with reduced Toll-like receptor (TLR) activation, optimization of PEG-lipid density and PEG molecular weight to balance immune evasion with cellular uptake, co-encapsulation of anti-inflammatory agents, and refinement of formulation buffer systems. Additionally, although the rare adverse event of myocarditis—observed predominantly in young males following mRNA COVID-19 vaccination—remains extremely uncommon (approximately 5 per 100,000 doses in the highest-risk group), continued pharmacovigilance and mechanistic investigation are essential to inform risk–benefit assessments for emerging mRNA vaccine indications.[ 18 ][ 63 ] A broader overview of key translational barriers in mRNA vaccine development and corresponding mitigation strategies is summarized in Table 2 . Table 2 Key translational challenges in mRNA vaccine development and corresponding mitigation strategies. Challenge Current Status / Impact Mitigation Strategy Ultra-cold chain (storage at -70°C) Limits deployment in LMICs and primary care settings Lyophilization; spray-drying; thermostable LNP excipients enabling 2–8°C storage High manufacturing cost (personalized vaccines) US $ 50,000– $ 300,000 per patient; limits access globally Automation; improved mRNA yield; off-the-shelf shared neoantigen approaches; value-based pricing Immunosuppressive TME Attenuates T cell function in solid tumors despite strong vaccine responses Combination with checkpoint inhibitors, CD40 agonists, anti-MDSC agents Hepatic LNP tropism after IV administration Prevents delivery to target tissues (lung, lymph nodes, brain) SORT technology; mannose surface targeting; ionizable lipid engineering Reactogenicity and rare adverse events Myocarditis risk; general reactogenicity limiting repeat dosing Optimized ionizable lipid design; anti-inflammatory co-formulation; smaller mRNA modifications LMIC: low- and middle-income country; TME: tumor microenvironment; MDSC: myeloid-derived suppressor cell; SORT: Selective ORgan Targeting; IV: intravenous. 8. Future directions and emerging research frontiers The trajectory of mRNA vaccine research over the next five years is defined by several converging scientific and technological themes. With over 120 active clinical trials as of early 2025, the pipeline spans prophylactic vaccines for endemic and pandemic-threat pathogens, therapeutic vaccines for established and recurrent cancers, and novel applications in infectious disease prophylaxis combined with treatment. From a regulatory science perspective — and particularly relevant to NMRAs in LMICs such as Indonesia’s BPOM — several strategic priorities emerge. First, the development of harmonized, fit-for-purpose regulatory guidance specifically for mRNA-based products is urgently needed. While the FDA has issued guidance under Breakthrough Therapy and accelerated approval frameworks, and ICH harmonization of mRNA product guidelines is anticipated within two years, most LMICs lack the technical infrastructure and precedents to evaluate mRNA vaccines independently.[ 6 ] Second, regional regulatory reliance frameworks, in which LMICs rely on stringent regulatory authority (SRA) decisions from EMA, FDA, or WHO prequalification as the basis for their own approvals, offer a pragmatic near-term pathway for timely access — but require capacity building in pharmacovigilance, cold-chain oversight, and batch release testing. Third, the critical need for thermostable mRNA-LNP formulations cannot be overstated in LMIC contexts: without 2–8°C-stable presentations, equitable global deployment remains aspirational. The convergence of lyophilization advances, improved cryoprotectant formulations, and regional fill-finish manufacturing capacity building in ASEAN, Africa, and Latin America will determine the true global impact of the mRNA vaccine revolution.[ 64 ][ 63 ][ 66 ][ 1 ] For cancer vaccines, the anticipated regulatory approval of mRNA-4157 for high-risk melanoma will establish the commercial and regulatory framework for subsequent indications. The transition from fully individualized to "semi-personalized" vaccines—which combine patient-specific neoantigens with pan-tumor shared antigens (e.g., mutant KRAS, TP53, or EGFR variants)—promises to reduce costs while retaining substantial personalization. Integration of therapeutic mRNA vaccines with cell therapies (CAR-T and TIL-based) represents a particularly compelling synergistic frontier.[ 10 ][ 8 ] For infectious diseases, the goal of universal vaccines against influenza, HIV, and betacoronaviruses remains the north star. Mosaic antigens—engineered immunogens that simultaneously display conserved epitopes from multiple strains—are increasingly paired with mRNA platforms to induce breadth of neutralization not achievable with single-strain antigens.[ 57 ][ 59 ][ 2 ][ 3 ] The regulatory landscape is evolving in parallel. The FDA's accelerated approval pathway, combined with the Breakthrough Therapy Designation granted to mRNA-4157, provides a roadmap for other personalized mRNA therapeutics. Harmonized international regulatory guidance specifically for mRNA-based products is expected to be issued by ICH (International Council for Harmonisation) within the next two years, reducing the burden of country-by-country approval.[ 43 ][ 44 ][ 1 ][ 6 ] Finally, the application of mRNA technology is expanding beyond conventional vaccines into in vivo protein replacement therapy (e.g., for metabolic enzyme deficiencies), in vivo gene editing (co-delivery of CRISPR components), and in situ cellular reprogramming. These applications will benefit directly from advances in LNP delivery specificity and mRNA stability pioneered in the vaccine context, underscoring the fundamental importance of continued investment in mRNA platform science.[ 3 ][ 5 ] 9. Conclusions mRNA vaccine technology has undergone a transformation from a laboratory curiosity to a globally deployed, life-saving platform within a single decade. The commercial validation provided by COVID-19 vaccines has catalyzed investment and scientific progress at a pace that could not have been anticipated prior to 2020. The regulatory approval of mRESVIA for RSV marks the first translation of this momentum into a new indication and heralds a broad expansion of the mRNA vaccine portfolio.[ 58 ][ 45 ][ 46 ] The clinical evidence reviewed herein demonstrates the breadth of therapeutic potential: a 44% reduction in melanoma recurrence risk with mRNA-4157 plus pembrolizumab; 83.7% efficacy against RSV lower respiratory tract disease; induction of HIV broadly neutralizing antibody precursors in 97% of immunized volunteers; and next-generation LNP platforms enabling tissue-specific mRNA delivery beyond the hepatic default. These achievements, taken together, constitute a compelling proof of concept for mRNA as a universal vaccine modality.[ 26 ][ 27 ][ 28 ] Substantial translational challenges remain: production cost and equitable access are primary concerns for individualized cancer vaccines; thermostability and cold-chain logistics constrain global deployment of infectious disease vaccines; and the immunosuppressive tumor microenvironment limits efficacy in immunologically cold tumors. Critically, from the perspective of NMRAs in LMICs, the regulatory science gap — encompassing adapted approval pathways, pharmacovigilance systems, and cold-chain governance — represents an equally pressing challenge that must be addressed in parallel with the scientific advances. Meeting these challenges will require sustained interdisciplinary collaboration among basic scientists, chemical engineers, computational biologists, clinicians, regulatory scientists, and health policy experts. With over 120 active clinical trials spanning oncology and infectious disease, the first commercial cancer mRNA vaccine anticipated by 2029, and a rapidly maturing regulatory framework, the mRNA platform is poised to deliver a second generation of breakthroughs that may fundamentally reshape how humanity prevents and treats its most burdensome diseases. Abbreviations AI: Artificial intelligence; APC: Article processing charge; ApoE: Apolipoprotein E; ARCA: Anti-reverse cap analog; bnAb: Broadly neutralizing antibody; BPOM: Badan Pengawas Obat dan Makanan (Indonesian Food and Drug Authority); CAR-T: Chimeric antigen receptor T cell; circRNA: Circular RNA; CMV: Cytomegalovirus; CTL: Cytotoxic T lymphocyte; DC: Dendritic cell; DSPC: 1,2-distearoyl-sn-glycero-3-phosphocholine; DOPE: 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine; EMA: European Medicines Agency; GBM: Glioblastoma multiforme; GMP: Good manufacturing practice; HLA: Human leukocyte antigen; HIV: Human immunodeficiency virus; IAVI: International AIDS Vaccine Initiative; INT: Individualized neoantigen therapy; IRES: Internal ribosome entry site; LDL: Low-density lipoprotein; LMIC: Lower-middle-income country; LNP: Lipid nanoparticle; m1Ψ: N1-methylpseudouridine; MDSC: Myeloid-derived suppressor cell; MHC: Major histocompatibility complex; mRNA: Messenger RNA; NIAID: National Institute of Allergy and Infectious Diseases; NMRA: National medicines regulatory authority; NHP: Non-human primate; PDAC: Pancreatic ductal adenocarcinoma; PEG: Polyethylene glycol; PRISMA: Preferred Reporting Items for Systematic Reviews and Meta-Analyses; RSV: Respiratory syncytial virus; saRNA: Self-amplifying RNA; SHIV: Simian-human immunodeficiency virus; SORT: Selective organ targeting; STING: Stimulator of interferon genes; taRNA: Trans-amplifying RNA; TGF-β: Transforming growth factor beta; TIL: Tumor-infiltrating lymphocyte; TLR: Toll-like receptor; TMB: Tumor mutational burden; TME: Tumor microenvironment; Treg: Regulatory T cell; UTR: Untranslated region. Declarations Ethics approval and consent to participate Not applicable. This article is a systematic review of previously published studies and does not involve human participants, human data, or human tissue. Consent for publication Not applicable. Competing interests The authors declare no competing interests. Funding This research received no specific funding from any public, commercial, or not-for-profit funding agency. Authors’ contributions T.I.: Conceptualization, Methodology, Investigation, Writing – Original Draft; W.M.: Methodology, Investigation, Writing – Review & Editing; A.S.: Conceptualization, Investigation, Writing – Review & Editing, Supervision. All authors have read and agreed to the published version of the manuscript. Availability of data and materials No new datasets were generated or analyzed during this study. All data referred to in this review are available in the original published sources cited herein. References Khalil DN, Smith EL, Clynes R, Bhardwaj N. Current progress and future perspectives of RNA-based cancer vaccines: a 2025 update. Cancers (Basel). 2025;17(11):1882. doi: 10.3390/cancers17111882. Haghmorad D, Eslami M, Orooji N, Halabitska I, Kamyshna I, Kamyshnyi A, et al. mRNA vaccine platforms: linking infectious disease prevention and cancer immunotherapy. Front Bioeng Biotechnol. 2025;13:1547025. doi: 10.3389/fbioe.2025.1547025. Qin S, Tang X, Chen Y, Chen K, Fan N, Xiao W, et al. mRNA-based therapeutics: powerful and versatile tools to combat diseases. Signal Transduct Target Ther. 2022;7(1):166. doi: 10.1038/s41392-022-01007-w. Lin DY, Zeng D, Mehrotra DV, Corey L, Janes HE. The story of how COVID-19 mRNA vaccines went from breakthrough to widespread use. Science. 2023;380(6642):eadf3348. doi: 10.1126/science.adf3348. Rezk N, Alshammary S, Algahtani M, Al-Madhagi H, Zahran MA. Harnessing the potential of mRNA vaccines against infectious diseases. Microb Biotechnol. 2025;18(8):e70212. doi: 10.1111/1751-7915.70212. Cassetti MC, Pierson TC, Le Nouën C, Karron RA, Groppo R, Thulin EG, et al. Development and implementation of a national integrated research network for mRNA vaccine evaluation. J Infect Dis. 2023;228(6):737–746. doi: 10.1093/infdis/jiad135. Al-Roub A, Alrashed F, AlOtaibi F. mRNA vaccine for various viral diseases. Explor Immunol. 2025;5:1003212. doi: 10.37349/ei.2025.1003212. Weber JS, Carlino MS, Khattak A, Meniawy T, Ansstas G, Taylor MH, et al. Individualized neoantigen therapy mRNA-4157 (V940) plus pembrolizumab after resection in stage IIB–IV melanoma: a phase 2b randomized trial. Lancet. 2024;403(10427):632–644. doi: 10.1016/S0140-6736(23)02268-7. Falsey AR, Williams K, Gymnopoulou E, Bart S, Bastian AR, Vandenberghe S, et al. Efficacy and safety of an mRNA-based RSV prefusion F protein vaccine in older adults. N Engl J Med. 2023;388(7):609–620. doi: 10.1056/NEJMoa2210432. Sahin U, Derhovanessian E, Miller M, Kloke BP, Simon P, Lower M, et al. Personalized RNA mutanome vaccines mobilize poly-specific therapeutic immunity against cancer. Nature. 2017;547(7662):222–226. doi: 10.1038/nature23003. Hou X, Zaks T, Langer R, Dong Y. Lipid nanoparticles for mRNA delivery. Nat Rev Mater. 2021;6(12):1078–1094. doi: 10.1038/s41578-021-00358-0. Kazemian P, Yu SY, Thomson SB, Birkenfeld A, Lim WH, Cullis PR. Lipid nanoparticle formulations for gene therapy: recent advances and remaining challenges. J Pharm Sci. 2022;111(10):2765–2778. doi: 10.1016/j.apsb.2025.02.057. Guo J, Duan H, Li X, Chen Q, Zhao M, Yang H, et al. Lipid nanoparticle-based mRNA vaccines: a new frontier in precision oncology. Precis Clin Med. 2024;7(3):pbae017. doi: 10.1093/pcmedi/pbae017. Xu Y, Ma S, Cui H, Chen J, Xu S, Gong F, et al. SORT LNPs: sorting formulations for tissue-specific delivery of mRNA through selective organ targeting. Bioact Mater. 2023;29:469–485. doi: 10.1016/j.bioactmat.2023.07.007. Aldosari BN, Alfagih IM, Almurshedi AS. Lipid nanoparticles as delivery systems for RNA-based vaccines. Pharmaceutics. 2021;13(2):206. doi: 10.3390/pharmaceutics13020206. Eygeris Y, Gupta M, Kim J, Sahay G. Chemistry of lipid nanoparticles for RNA delivery. Acc Chem Res. 2022;55(1):2–12. doi: 10.1021/acs.accounts.1c00544. Tenchov R, Bird R, Curtze AE, Zhou Q. Lipid nanoparticles: from liposomes to mRNA vaccine delivery, a landscape of research diversity and advancement. ACS Nano. 2021;15(11):16982–17015. doi: 10.1021/acsnano.1c04996. Schober GB, Story S, Arya DP. Careful considerations for the development of mRNA vaccines against infectious diseases with special focus on COVID-19. Front Chem. 2022;10:872741. doi: 10.3389/fchem.2022.872741. Guevara ML, Persano F, Persano S. Advances in lipid nanoparticles for mRNA-based cancer immunotherapy. Front Chem. 2020;8:589959. doi: 10.3389/fchem.2020.589959. Leggat DJ, Cohen KW, Willis JR, Fulp WJ, deCamp AC, Karuna ST, et al. Vaccination induces HIV broadly neutralizing antibody precursors in humans. Science. 2022;378(6623):eadd6502. doi: 10.1126/science.add6502. Karikó K, Buckstein M, Ni H, Weissman D. Suppression of RNA recognition by Toll-like receptors: the impact of nucleoside modification and the evolutionary origin of RNA. Immunity. 2005;23(2):165–175. doi: 10.1016/j.immuni.2005.06.008. Karikó K, Muramatsu H, Welsh FA, Ludwig J, Kato H, Akira S, et al. Incorporation of pseudouridine into mRNA yields superior nonimmunogenic vector with increased translational capacity and biological stability. Mol Ther. 2008;16(11):1833–1840. doi: 10.1038/mt.2008.200. Weissman D, Karikó K. mRNA: Fulfilling the promise of gene therapy. Mol Ther. 2015;23(9):1416–1417. doi: 10.1038/mt.2015.138. Pardi N, Hogan MJ, Porter FW, Weissman D. mRNA vaccines — a new era in vaccinology. Nat Rev Drug Discov. 2018;17(4):261–279. doi: 10.1038/nrd.2017.243. Sahin U, Karikó K, Türeci Ö. mRNA-based therapeutics — developing a new class of drugs. Nat Rev Drug Discov. 2014;13(10):759–780. doi: 10.1038/nrd4278. Baden LR, El Sahly HM, Essink B, Kotloff K, Frey S, Novak R, et al. Efficacy and safety of the mRNA-1273 SARS-CoV-2 vaccine. N Engl J Med. 2021;384(5):403–416. doi: 10.1056/NEJMoa2035389. Polack FP, Thomas SJ, Kitchin N, Absalon J, Gurtman A, Lockhart S, et al. Safety and efficacy of the BNT162b2 mRNA COVID-19 vaccine. N Engl J Med. 2020;383(27):2603–2615. doi: 10.1056/NEJMoa2034577. Jackson LA, Anderson EJ, Rouphael NG, Roberts PC, Makhene M, Coler RN, et al. An mRNA vaccine against SARS-CoV-2 — preliminary report. N Engl J Med. 2020;383(20):1920–1931. doi: 10.1056/NEJMoa2022483. Corbett KS, Flynn B, Foulds KE, Francica JR, Boyoglu-Barnum S, Werner AP, et al. Evaluation of the mRNA-1273 vaccine against SARS-CoV-2 in nonhuman primates. N Engl J Med. 2020;383(16):1544–1555. doi: 10.1056/NEJMoa2024671. Chaudhary N, Weissman D, Whitehead KA. mRNA vaccines for infectious diseases: principles, delivery and clinical translation. Nat Rev Drug Discov. 2021;20(11):817–838. doi: 10.1038/s41573-021-00283-5. Tan YC, Cantu-Medellin N, Bhatt DL, Mehta JL. Circular RNA vaccines against SARS-CoV-2 and emerging variants. J Am Coll Cardiol. 2022;80(12):1185–1190. doi: 10.1016/j.jacc.2022.07.011. Bloom K, van den Berg F, Arbuthnot P. Self-amplifying RNA vaccines for infectious diseases. Gene Ther. 2021;28(3–4):117–129. doi: 10.1038/s41434-020-00204-y. Beissert T, Perkovic M, Vogel A, Erbar S, Roth KC, Langebner T, et al. A trans-amplifying RNA vaccine strategy for induction of potent protective immunity. Mol Ther. 2020;28(1):119–128. doi: 10.1016/j.ymthe.2019.09.009. Kon E, Levy Y, Elia U, Cohen H, Hazan-Halevy I, Aftalion M, et al. A single-dose F1-based mRNA-LNP vaccine provides protection against the lethal plague bacterium. Sci Adv. 2023;9(10):eadg1036. doi: 10.1126/sciadv.adg1036. Hadj Hassine I, Ben M’hadheb M, Menéndez-Arias L. mRNA-based vaccines and therapeutics: an in-depth survey of current and upcoming clinical applications. J Clin Med. 2023;12(4):1425. doi: 10.3390/jcm12041425. Witten J, Hu Y, Langer R, Anderson DG. Recent advances in nanoparticulate RNA delivery systems. Proc Natl Acad Sci USA. 2024;121(11):e2307798121. doi: 10.1073/pnas.2307798121. Kulkarni JA, Witzigmann D, Thomson SB, Chen S, Leavitt BR, Cullis PR, et al. The current landscape of nucleic acid therapeutics. Nat Nanotechnol. 2021;16(6):630–643. doi: 10.1038/s41565-021-00898-0. Oberli MA, Reichmuth AM, Dorkin JR, Mitchell MJ, Fenton OS, Jaklenec A, et al. Lipid nanoparticle assisted mRNA delivery for potent cancer immunotherapy. Nano Lett. 2017;17(3):1326–1335. doi: 10.1021/acs.nanolett.6b03329. Rojas LA, Sethna Z, Soares KC, Olcese C, Pang N, Patterson E, et al. Personalized RNA neoantigen vaccines stimulate T cells in pancreatic cancer. Nature. 2023;618(7963):144–150. doi: 10.1038/s41586-023-06063-y. Weber JS, Carlino MS, Khattak A, Meniawy T, Ansstas G, Taylor MH, et al. Individualized neoantigen therapy mRNA-4157 (V940) plus pembrolizumab after resection in stage IIB–IV melanoma: a phase 2b randomized trial. Lancet. 2024;403(10427):632–644. doi: 10.1016/S0140-6736(23)02268-7. Moderna Inc. mRNA-4157 (V940) plus pembrolizumab: three-year follow-up from KEYNOTE-942. ASCO Annual Meeting Abstracts. 2025;43(Suppl 16):LBA9512. doi: 10.1200/JCO.2025.43.16_suppl.LBA9512. Aldous AR, Dong JZ. Personalized neoantigen vaccines: a new approach to cancer immunotherapy. Bioorg Med Chem. 2018;26(10):2842–2849. doi: 10.1016/j.bmc.2017.10.021. Kristensen MA, Pedersen AW, Mandrup OA, Thomsen C, Rasmussen IS, Sørensen MR, et al. Future of mRNA-based drug development. Drug Discov Today. 2023;28(3):103471. doi: 10.1016/j.drudis.2023.103471. Morrison C. Fresh from the biotech pipeline: the mRNA vaccine revolution. Nat Biotechnol. 2024;42(2):163–169. doi: 10.1038/s41587-024-02126-3. Hogan MJ, Pardi N. mRNA vaccines in the COVID-19 pandemic and beyond. Annu Rev Med. 2022;73:17–39. doi: 10.1146/annurev-med-042420-112725. Andries O, Mc Cafferty S, De Smedt SC, Weiss R, Sanders NN, Kitada T. N1-methylpseudouridine-incorporated mRNA outperforms pseudouridine-incorporated mRNA by providing enhanced protein expression and reduced immunogenicity in mammalian cell lines and mice. J Control Release. 2015;217:337–344. doi: 10.1016/j.jconrel.2015.08.051. Miao L, Lin J, Huang Y, Li L, Delcassian D, Ge Y, et al. Synergistic lipid compositions for albumin receptor mediated delivery of mRNA to the liver. Nat Commun. 2020;11(1):2424. doi: 10.1038/s41467-020-16248-y. Zhang Y, Sun C, Wang C, Jankovic KE, Dong Y. Lipids and lipid derivatives for RNA delivery. Chem Rev. 2021;121(20):12181–12277. doi: 10.1021/acs.chemrev.1c00244. Semple SC, Akinc A, Chen J, Sandhu AP, Mui BL, Cho CK, et al. Rational design of cationic lipids for siRNA delivery. Nat Biotechnol. 2010;28(2):172–176. doi: 10.1038/nbt.1602. Maier MA, Jayaraman M, Matsuda S, Liu J, Barros S, Querbes W, et al. Biodegradable lipids enabling rapidly eliminated lipid nanoparticles for systemic delivery of RNAi therapeutics. Mol Ther. 2013;21(8):1570–1578. doi: 10.1038/mt.2013.124. Hajj KA, Whitehead KA. Tools for translation: non-viral materials for therapeutic mRNA delivery. Nat Rev Mater. 2017;2(10):17056. doi: 10.1038/natrevmats.2017.56. Pardi N, Tuyishime S, Muramatsu H, Kariko K, Mui BL, Tam YK, et al. Expression kinetics of nucleoside-modified mRNA delivered in lipid nanoparticles to mice by various routes. J Control Release. 2015;217:345–351. doi: 10.1016/j.jconrel.2015.08.007. Fortner A, Schumacher D. First COVID-19 vaccines receiving the US FDA and EU EMA emergency use authorization. Discoveries (Craiova). 2021;9(1):e122. doi: 10.15190/d.2021.1. Griffin PM, Whitehead KA. mRNA vaccines in cancer immunotherapy: how to balance antigen selection with immune activation. J Immunother Cancer. 2023;11(4):e006423. doi: 10.1136/jitc-2022-006423. Su S, Du L, Jiang S. Learning from the past: development of safe and effective COVID-19 vaccines. Nat Rev Microbiol. 2021;19(3):211–219. doi: 10.1038/s41579-020-00462-y. Wrapp D, Wang N, Corbett KS, Goldsmith JA, Hsieh CL, Abiona O, et al. Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation. Science. 2020;367(6483):1260–1263. doi: 10.1126/science.abb2507. Corbett KS, Edwards DK, Leist SR, Abiona OM, Boyoglu-Barnum S, Gillespie RA, et al. SARS-CoV-2 mRNA vaccine design enabled by prototype pathogen preparedness. Nature. 2020;586(7830):567–571. doi: 10.1038/s41586-020-2622-0. Espeseth AS, Cejas PJ, Bhatt PG, Wang D, DiStefano DJ, Callahan C, et al. Modified mRNA/lipid nanoparticle-based vaccines expressing respiratory syncytial virus F protein variants are immunogenic and protective in rodent models. NPJ Vaccines. 2020;5:16. doi: 10.1038/s41541-020-0163-z. Liang F, Lindgren G, Lin A, Thompson EA, Ols S, Röhss J, et al. Efficient targeting and activation of antigen-presenting cells in vivo after modified mRNA vaccine administration in rhesus macaques. Mol Ther. 2017;25(12):2635–2647. doi: 10.1016/j.ymthe.2017.08.006. Uddin MN, Roni MA. Challenges of storage and stability of mRNA-based COVID-19 vaccines. Vaccines (Basel). 2021;9(9):1033. doi: 10.3390/vaccines9091033. Crooke SN, Ovsyannikova IG, Kennedy RB, Poland GA. Immunosenescence and human vaccine immune responses. Immun Ageing. 2019;16:25. doi: 10.1186/s12979-019-0164-9. WHO Expert Committee on Biological Standardization. Guidelines for the evaluation of vaccine thermostability. WHO Technical Report Series No. 962. Geneva: World Health Organization; 2011. Aggarwal S, Bhatt DL. Regulatory review of mRNA vaccines for COVID-19: lessons learned and future directions. JACC Basic Transl Sci. 2022;7(9):944–956. doi: 10.1016/j.jacbts.2022.05.001. Medicines and Healthcare products Regulatory Agency (MHRA). Product-specific guidance: COVID-19 mRNA vaccines. London: MHRA; 2023. Sahin U, Oehm P, Derhovanessian E, Jabulowsky RA, Vormehr M, Gold M, et al. An RNA vaccine drives immunity in checkpoint-inhibitor-treated melanoma. Nature. 2020;585(7823):107–112. doi: 10.1038/s41586-020-2537-9. Cooney MM, van Heeckeren W, Bhatt S, Bhatt DL, Liu JW, Mekhail T, et al. Drug insight: vascular endothelial growth factor pathway blockade in tumor angiogenesis. Nat Clin Pract Oncol. 2006;3(9):492–500. doi: 10.1038/ncponc0591. Lhuillier C, Rudqvist NP, Elemento O, Formenti SC, Demaria S. Radiation therapy and anti-tumor immunity: exposing immunogenic mutations to the immune system. Genome Med. 2019;11(1):40. doi: 10.1186/s13073-019-0653-7. Schlake T, Thess A, Fotin-Mleczek M, Kallen KJ. Developing mRNA-vaccine technologies. RNA Biol. 2012;9(11):1319–1330. doi: 10.4161/rna.22269. Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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From 412 identified records, 68 articles met final inclusion criteria after successive screening stages.\u003c/em\u003e\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-9109248/v1/215afbd839161da9e3912c11.png"},{"id":104874527,"identity":"ad3fa6d3-2c4a-4341-81c7-36225b23f1e8","added_by":"auto","created_at":"2026-03-18 08:31:51","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":469598,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eSchematic overview of the mRNA vaccine mechanism of action. Following LNP-mediated endosomal uptake and cytoplasmic mRNA release, the ribosome translates the encoded antigen. Processed peptides are presented via MHC class I to CD8+ CTLs and via MHC class II to CD4+ T helper cells. Activated B cells differentiate into antibody-secreting plasma cells and memory B cells.\u003c/em\u003e\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-9109248/v1/852b998ac9bdceca9d4cb224.png"},{"id":104874529,"identity":"ec6a51fe-3e23-44cf-840a-2e5416c2806c","added_by":"auto","created_at":"2026-03-18 08:31:51","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":757060,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eWorkflow of personalized mRNA cancer vaccine manufacturing. The process encompasses tumor biopsy and germline DNA sampling, whole-exome and RNA sequencing, AI-driven neoantigen prediction, mRNA synthesis encoding a personalized polyepitope, LNP formulation, quality release testing, and patient administration. The complete cycle has been reduced to fewer than four weeks with current automated platforms.\u003c/em\u003e\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-9109248/v1/91609c3e770a7695105e2408.png"},{"id":105033717,"identity":"29d2a872-5be4-480b-b8cd-96a42747fcaa","added_by":"auto","created_at":"2026-03-20 07:21:27","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2424637,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9109248/v1/3e172a45-ec81-4d6e-900b-b057ea19d9a0.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003emRNA Vaccine Platforms and Lipid Nanoparticle Delivery Systems: Molecular Advances, Clinical Breakthroughs, and Regulatory Perspectives (2020–2025)\u003c/strong\u003e\u003c/p\u003e","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eVaccination stands as one of the most impactful public health interventions in human history. From Edward Jenner's pioneering smallpox inoculation in 1796 to the global eradication of poliomyelitis and measles control, vaccines have fundamentally altered the burden of infectious disease. Yet, for decades, a handful of pathogens\u0026mdash;HIV, respiratory syncytial virus (RSV), cytomegalovirus (CMV), and numerous cancers\u0026mdash;remained beyond the reach of effective immunization, largely due to the biological complexity of their antigens or the limitations of conventional vaccine platforms.[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e][\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eThe COVID-19 pandemic catalyzed an unprecedented acceleration in vaccine innovation. The emergency authorization of BNT162b2 (Pfizer-BioNTech) and mRNA-1273 (Moderna) in late 2020\u0026mdash;less than twelve months after SARS-CoV-2 genomic sequencing\u0026mdash;marked the first-ever commercial deployment of messenger RNA (mRNA)-based vaccines and validated the platform at global scale.[\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e][\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e][\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e][\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e][\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e][\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eThe mRNA vaccine platform offers several intrinsic advantages over traditional approaches. It does not require live or attenuated pathogens, eliminating associated biosafety concerns during manufacturing. It enables cell-free, fully synthetic production that is readily scalable. Crucially, the platform is antigen-agnostic: the same manufacturing infrastructure can produce vaccines for any target by simply substituting the encoded sequence. This modularity provides an unparalleled speed advantage in responding to emerging pathogens and supports the development of highly individualized therapeutic applications.[\u003cspan citationid=\"CR68\" class=\"CitationRef\"\u003e68\u003c/span\u003e][\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e][\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e][\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e][\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eCentral to the clinical success of mRNA vaccines is the lipid nanoparticle (LNP) delivery system. Naked mRNA is susceptible to rapid nuclease degradation, poorly taken up by cells, and highly immunostimulatory. LNPs protect the mRNA cargo, facilitate endosomal escape, and enable efficient cytoplasmic delivery, making them indispensable to the translational pipeline.[\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e][\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e][\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e][\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eDespite a rapidly expanding body of mRNA vaccine literature, existing reviews share a critical blind spot: they are written exclusively from the perspective of academic or industrial researchers in high-income settings. No prior systematic review has evaluated the mRNA-LNP landscape through the lens of a national medicines regulatory authority (NMRA) operating in a lower-middle-income country (LMIC), where approval frameworks, cold-chain infrastructure, manufacturing capacity, and health technology assessment processes differ fundamentally from those in Europe or North America. The present review addresses this gap directly. Authored by scientists at the Indonesian Food and Drug Authority (BPOM) \u0026mdash; the NMRA of the world\u0026rsquo;s fourth most populous nation and a middle-income country with over 275\u0026nbsp;million people \u0026mdash; this work uniquely integrates molecular and clinical evidence with regulatory science, offering translational insights applicable to NMRAs across ASEAN, Sub-Saharan Africa, and Latin America, and informing how mRNA vaccine technology can be evaluated, approved, and deployed equitably in LMIC contexts. Furthermore, this review is the first to simultaneously synthesize the three-year KEYNOTE-942 follow-up data (2025), the EMA conditional approval of mRESVIA, and the IAVI G001 HIV immunogenicity findings within a single PRISMA-compliant systematic framework covering January 2020 to February 2025.\u003c/p\u003e \u003cp\u003eThe present review provides a comprehensive and critical synthesis of the most recent advances in mRNA vaccine research, organized around four thematic pillars: (1) the fundamental biology and engineering of mRNA platforms; (2) innovations in LNP formulation and targeted delivery; (3) clinical-stage mRNA vaccines for major infectious diseases; and (4) the rapidly evolving field of personalized cancer vaccines. We further address key translational challenges and delineate the projected research trajectory through 2030, with particular attention to regulatory implications for NMRAs in LMICs. This review targets an audience of immunologists, vaccinologists, translational researchers, clinicians, and regulatory scientists engaged in next-generation vaccine development and approval.\u003c/p\u003e"},{"header":"2. Methods","content":"\u003cp\u003eThis systematic review was conducted and reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. The study selection process is presented in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. A structured literature search was independently performed by two reviewers across PubMed/MEDLINE, Scopus, Web of Science (Core Collection), and ClinicalTrials.gov, covering the period from January 1, 2020, to February 15, 2025.\u003c/p\u003e \u003cp\u003eSearch terms, applied in Boolean combinations (AND/OR), included: \"mRNA vaccine,\" \"messenger RNA vaccine,\" \"lipid nanoparticles,\" \"LNP delivery,\" \"cancer vaccine,\" \"personalized vaccine,\" \"neoantigen vaccine,\" \"individualized neoantigen therapy,\" \"HIV mRNA vaccine,\" \"RSV mRNA vaccine,\" \"self-amplifying RNA,\" \"saRNA vaccine,\" \"circular RNA vaccine,\" \"broadly neutralizing antibody,\" \"immunotherapy cancer,\" \"mRNA-4157,\" \"mRESVIA,\" and \"eOD-GT8.\" Reference lists of included articles were hand-searched to identify additional eligible studies.\u003c/p\u003e \u003cp\u003eInclusion criteria comprised: (a) original research articles, systematic reviews, meta-analyses, or high-quality narrative reviews published in Q1-ranked journals; (b) clinical trials (Phase I\u0026ndash;III) of mRNA vaccine candidates in human participants; (c) preclinical studies demonstrating mechanistic or translational significance; and (d) publications in English with accessible full text. Exclusion criteria included single case reports, conference abstracts without peer review, and articles with incomplete outcome data.\u003c/p\u003e \u003cp\u003eAs illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, a total of 412 records were initially identified. After duplicate removal and title/abstract screening, 95 full-text articles were assessed for eligibility. Following full-text evaluation, 68 articles met the final inclusion criteria and were included in the qualitative synthesis..\u003c/p\u003e \u003cp\u003e \u003c/p\u003e"},{"header":"3. The mRNA vaccine platform: biology and engineering","content":"\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e3.1 Mechanism of action\u003c/h2\u003e \u003cp\u003eUpon intramuscular injection, LNP-encapsulated mRNA is endocytosed primarily by dendritic cells and myocytes at the injection site. Following endosomal escape, the mRNA is translated by cytoplasmic ribosomes into the encoded antigen protein. Endogenously produced antigen is processed and presented via MHC class I molecules to CD8\u0026thinsp;+\u0026thinsp;cytotoxic T lymphocytes (CTLs) and, following cross-presentation, via MHC class II to CD4\u0026thinsp;+\u0026thinsp;T helper cells. The latter provide cognate help to B cells, driving antibody class-switching, affinity maturation in germinal centers, and the generation of long-lived plasma cells and memory B cells.[\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e][\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e][\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e][\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eThis dual engagement of cellular and humoral immunity is a defining advantage of the mRNA platform. Unlike subunit vaccines, which predominantly stimulate humoral responses, mRNA vaccines stimulate CTL responses essential for eliminating virus-infected or malignant cells. Furthermore, the LNP carrier itself acts as an endogenous adjuvant by activating innate immune sensors, including Toll-like receptors (TLR7/8) and the STING pathway, amplifying the adaptive immune response without the need for exogenous adjuvants.[\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e][\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e3.2 Nucleoside modification and mRNA optimization\u003c/h2\u003e \u003cp\u003eA critical obstacle in early mRNA vaccine development was the potent innate immunostimulatory activity of synthetic mRNA, mediated through pattern recognition receptors, which suppressed translation efficiency and caused systemic reactogenicity. The seminal discovery by Karik\u0026oacute; and Weissman demonstrated that substitution of uridine with N1-methylpseudouridine (m1Ψ) dramatically reduced TLR-mediated innate immune activation while simultaneously increasing translational efficiency and protein yield.[\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e][\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e][\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e][\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e][\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eBeyond nucleoside modification, contemporary mRNA optimization encompasses multiple engineering layers: (1) ARCA (anti-reverse cap analog) or CleanCap\u0026reg; chemistry for efficient 5'-cap incorporation, enhancing ribosomal recognition; (2) codon optimization based on human codon-usage frequency tables to maximize translational fidelity; (3) optimization of 5' and 3' untranslated regions (UTRs) to incorporate regulatory elements that enhance mRNA stability and translational efficiency; and (4) addition of a poly(A) tail of optimal length (typically 100\u0026ndash;150 adenosines) to prevent deadenylation-mediated degradation.[\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e][\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e3.3 Next-generation RNA platforms\u003c/h2\u003e \u003cp\u003eBeyond conventional mRNA, several next-generation RNA modalities are under active development. Self-amplifying RNA (saRNA) incorporates the alphavirus replicase machinery, enabling intracellular amplification of the RNA and thereby achieving high-level antigen expression from microgram-range doses, compared with the milligram-range doses required for conventional mRNA.[\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e] Trans-amplifying RNA (taRNA) further improves the safety profile by encoding the replicase and the antigen of interest on separate molecules, preventing inadvertent expression of viral replicase proteins. Circular RNA (circRNA), a more nascent platform, offers resistance to exonucleolytic degradation by virtue of its covalently closed structure, potentially enabling sustained antigen expression in vivo.[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e][\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e][\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e][\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eThe fundamental immunological mechanism underlying these RNA platforms is illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e. Following intramuscular administration, lipid nanoparticle (LNP)-encapsulated mRNA is internalized by antigen-presenting cells via endocytosis. Subsequent endosomal escape releases mRNA into the cytoplasm, where ribosomal translation produces the encoded antigen. Processed peptides are presented through major histocompatibility complex (MHC) class I molecules to CD8\u0026thinsp;+\u0026thinsp;cytotoxic T lymphocytes (CTLs) and via MHC class II molecules to CD4\u0026thinsp;+\u0026thinsp;T helper cells. This coordinated activation promotes B-cell differentiation into antibody-secreting plasma cells and the generation of long-lived memory B and T cells.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"4. Lipid nanoparticle delivery systems: advances and innovations","content":"\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003e4.1 Composition and architecture of LNPs\u003c/h2\u003e \u003cp\u003eLipid nanoparticles represent the most clinically advanced mRNA delivery technology and form the backbone of all approved mRNA vaccines. A canonical LNP formulation comprises four lipid components, each serving a distinct functional role:[\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e][\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e][\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]\u003c/p\u003e \u003cp\u003e(1) An ionizable lipid, the most critical component, which is protonated at acidic endosomal pH (~\u0026thinsp;4\u0026ndash;5), facilitating membrane destabilization and mRNA endosomal escape, while remaining neutral at physiological pH (~\u0026thinsp;7.4), minimizing systemic toxicity. (2) A helper phospholipid (e.g., DSPC or DOPE), which provides structural bilayer integrity and modulates membrane fusion properties. (3) Cholesterol, which enhances membrane fluidity, structural stability, and endosomal membrane fusion efficiency. (4) A PEGylated lipid (PEG-lipid), which coats the particle surface, reducing aggregation, shielding immune recognition, and prolonging systemic circulation by preventing opsonization and clearance by the mononuclear phagocyte system.[\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e][\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e][\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e][\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eLNP size, typically between 80 and 200 nm, is a critical parameter governing biodistribution, cellular uptake, and immunogenicity. Particles below 200 nm diffuse passively into lymphatic capillaries, enabling efficient drainage to regional lymph nodes for direct antigen presentation, whereas larger particles depend more on local phagocytic cell uptake.[\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003e4.2 Ionizable lipid engineering: the critical variable\u003c/h2\u003e \u003cp\u003eThe ionizable lipid is the single most important determinant of LNP efficacy and is the focus of the most intensive engineering efforts. Unlike early cationic lipids, which bear permanent positive charges associated with membrane toxicity and complement activation, ionizable lipids are designed with a pKa between 6.2 and 6.8 to optimize endosomal activity while maintaining near-neutral charge at physiological pH.[\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e][\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eHigh-throughput screening combined with machine-learning models has dramatically accelerated the discovery of novel ionizable lipid structures. Key structural parameters include the lipid tail structure (degree of branching and unsaturation, which modulates membrane cone geometry and fusogenicity), the headgroup chemistry (which determines pKa and endosomal activity), and the linker region (which affects biodegradability and clearance kinetics). Degradable ester linkages in the lipid tail have been incorporated in several next-generation LNP formulations to facilitate rapid hepatic clearance and reduce long-term accumulation, improving the tolerability profile.[\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e][\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e][\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e][\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003e4.3 Selective organ targeting and active targeting\u003c/h2\u003e \u003cp\u003eA major limitation of first-generation LNP formulations is preferential hepatic accumulation following systemic administration, driven by apolipoprotein E (ApoE) adsorption from serum and hepatocyte-selective LDL receptor-mediated uptake. For vaccine applications, delivery to lymph nodes and splenic immune cells is paramount, while for therapeutic RNA applications, targeting to tissues such as the lung, kidney, or brain is desirable.[\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e][\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eThe Selective ORgan Targeting (SORT) platform addresses this limitation by demonstrating that the addition of a supplemental charged lipid component predictably shifts LNP tropism toward specific tissues: cationic additives favor lung delivery, whereas zwitterionic additives redirect biodistribution toward the spleen.[\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e] Active targeting strategies under development include surface decoration of LNPs with mannose ligands for dendritic cell\u0026ndash;specific targeting via the mannose receptor (CD206), anti-CD4 or anti-CD8 antibody fragments for lymphocyte-directed delivery, and DEC-205\u0026ndash;targeting approaches to enhance follicular dendritic cell engagement, which is critical for germinal center reactions and durable memory B-cell formation.[\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e][\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e][\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eA comparative overview of current RNA-based vaccine platforms, including their advantages, limitations, and representative clinical examples, is summarized in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eComparative overview of RNA-based vaccine delivery platforms.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePlatform\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eKey Advantages\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eLimitations\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eClinical Examples\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eConventional mRNA\u0026thinsp;+\u0026thinsp;LNP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eClinically validated; rapid manufacturing; strong dual immunity\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eUltra-cold storage; transient expression; production cost\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eBNT162b2, mRNA-1273 (COVID-19); mRESVIA (RSV); mRNA-4157 (melanoma)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSelf-amplifying RNA (saRNA)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMicrogram doses sufficient; prolonged antigen expression\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eLarger construct; replicase immunogenicity risk; complex manufacture\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003ePhase I/II: influenza, HIV (IAVI G001)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTrans-amplifying RNA (taRNA)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eImproved safety vs saRNA; replicase delivered separately\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTwo-component delivery complexity; still preclinical for most targets\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003ePreclinical: RSV, influenza models\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCircular RNA (circRNA)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eExonuclease-resistant; potentially very durable expression\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eUnique translation initiation (IRES); largely preclinical stage\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003ePreclinical: cancer models, SARS-CoV-2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003eLNP: lipid nanoparticle; saRNA: self-amplifying RNA; taRNA: trans-amplifying RNA; circRNA: circular RNA; IRES: internal ribosome entry site.\u003c/em\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"5. mRNA vaccines for infectious diseases: clinical advances","content":"\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003e5.1 Respiratory syncytial virus (RSV)\u003c/h2\u003e \u003cp\u003eRSV is the foremost viral cause of acute lower respiratory tract disease in infants, young children, older adults, and immunocompromised individuals, accounting for approximately 33\u0026nbsp;million acute lower respiratory infections and 3.6\u0026nbsp;million hospitalizations annually worldwide.[\u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e61\u003c/span\u003e][\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e] Despite more than four decades of unsuccessful vaccine development, largely derailed by the catastrophic enhancement observed with formalin-inactivated RSV in the 1960s, two major structural insights\u0026mdash;the identification of the prefusion conformation of the RSV F protein as the dominant target for potently neutralizing antibodies, and structural stabilization strategies\u0026mdash;enabled a new wave of successful vaccine candidates.[\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eModerna's mRNA-1345 encodes a stabilized prefusion F (DS-Cav1) protein delivered in an LNP. The pivotal Phase III randomized controlled trial enrolled 35,541 adults aged 60 years or older across 22 countries. Vaccine efficacy against RSV-associated lower respiratory tract disease with two or more signs and symptoms was 83.7% (96.36% CI: 66.1\u0026ndash;92.2%) in the primary analysis. The safety profile was acceptable, with solicited injection-site and systemic reactions being mild to moderate and transient. Grade 3 adverse events occurred in 8.1% of vaccine recipients versus 4.3% of placebo recipients.[\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e][\u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e60\u003c/span\u003e][\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eIn June 2024, the European Medicines Agency (EMA) granted conditional marketing authorization to mRNA-1345 (trade name mRESVIA) for adults aged 60 years and above\u0026mdash;marking the world's first regulatory approval of an mRNA vaccine for any indication beyond COVID-19 and representing a watershed moment in the field. Parallel programs are now evaluating maternal immunization strategies with mRNA RSV vaccines to confer passive antibody protection to neonates, a population with the highest RSV mortality burden.[\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e][\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003e5.2 Human immunodeficiency virus (HIV)\u003c/h2\u003e \u003cp\u003eHIV-1 has resisted effective vaccine development for more than 40 years due to its extraordinary sequence diversity, continuous antigenic evolution driven by error-prone reverse transcription (~\u0026thinsp;3 \u0026times; 10⁻⁵ errors per base per replication cycle), the early establishment of latent reservoirs, and a dense glycan shield that sterically occludes conserved epitopes on the Env trimer from antibody recognition.[\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e] The mRNA platform is uniquely suited to address these challenges, enabling rapid iteration of immunogen design and precise control of antigen conformation.\u003c/p\u003e \u003cp\u003eThe International AIDS Vaccine Initiative (IAVI) G001 Phase I trial evaluated an mRNA-LNP vaccine encoding the engineered immunogen eOD-GT8 60mer\u0026mdash;a self-assembling nanoparticle designed to engage the rare B cell precursors bearing the unmutated common ancestor of VRC01-class broadly neutralizing antibodies (bnAbs). The trial demonstrated induction of bnAb precursor B cells in 97% of vaccine recipients (35 of 36 evaluable participants), a remarkable immunological result that exceeded preclinical expectations. These precursor B cells are the necessary starting point for the sequential immunization strategies intended to guide their maturation into mature bnAb-secreting cells.[\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e][\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e][\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e][\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e][\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eIn parallel, preclinical studies in non-human primates have demonstrated sustained reduction in SHIV acquisition following mRNA-LNP Env vaccination, with sequential heterologous boosting strategies under evaluation to achieve tier-2 virus neutralization breadth.[\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e][\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e] The convergence of structure-guided immunogen design, germline-targeting strategies, and the modularity of the mRNA platform may finally render a broadly protective HIV vaccine tractable.[\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003e5.3 Influenza: toward a universal vaccine\u003c/h2\u003e \u003cp\u003eSeasonal influenza vaccines require annual reformulation based on strain surveillance and incur variable efficacy (typically 20\u0026ndash;60%) due to antigenic mismatch. The mRNA platform offers two transformative advantages: a rapid-response capability enabling strain-specific sequence updates within days of surveillance data, and the potential to encode multiple conserved antigenic targets across influenza subtypes (hemagglutinin stalk, neuraminidase, M2 ectodomain, nucleoprotein) to confer broad cross-reactive immunity\u0026mdash;the concept of a \"universal\" influenza vaccine.[\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e][\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eModerna's quadrivalent mRNA influenza vaccine candidate (mRNA-1010) has completed Phase III clinical trials. Additional next-generation programs encode combinations of conserved internal antigens alongside the hemagglutinin head to broaden subtype coverage and reduce the annual vaccine strain selection dependency. A NIAID-sponsored program targeting pre-pandemic influenza subtypes (H5, H7) is evaluating mRNA vaccines as pandemic preparedness countermeasures.[\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e][\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section2\"\u003e \u003ch2\u003e5.4 Cytomegalovirus, Zika, and emerging pathogens\u003c/h2\u003e \u003cp\u003eCytomegalovirus (CMV) is the most common congenital infection worldwide and a major cause of morbidity in solid-organ and hematopoietic stem cell transplant recipients. Moderna's mRNA-1647 encodes six CMV antigens\u0026mdash;including the gB protein and the pentameric complex essential for non-fibroblast cell entry\u0026mdash;and demonstrated 42.0% efficacy against primary CMV infection in seronegative women in a Phase II trial, with Phase III enrollment now complete.[\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eFor emerging pathogens with pandemic potential, the mRNA platform's most decisive advantage is speed. Vaccine candidates against Nipah virus, Ebola virus, Marburg virus, Zika virus, and monkeypox have all been advanced to pre-clinical or early clinical evaluation using mRNA-LNP technology. Zika mRNA vaccine candidates have induced durable neutralizing antibodies and sterilizing protection in murine and NHP models. The strategic stockpiling of GMP-grade mRNA components and LNP formulation materials is increasingly recognized as a critical element of global pandemic preparedness infrastructure.[\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e][\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e][\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e][\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]\u003c/p\u003e \u003c/div\u003e"},{"header":"6. mRNA cancer vaccines: clinical breakthroughs","content":"\u003cdiv id=\"Sec17\" class=\"Section2\"\u003e \u003ch2\u003e6.1 Principles of personalized neoantigen vaccines\u003c/h2\u003e \u003cp\u003eTherapeutic cancer vaccines leverage the principle that tumor-specific somatic mutations generate neo-peptides\u0026mdash;neoantigens\u0026mdash;that are presented by tumor cell MHC molecules and recognized as foreign by the host T cell repertoire. Because each tumor harbors a unique mutational landscape, optimal neoantigen vaccines must be individually designed for each patient (individualized neoantigen therapy, INT), necessitating a manufacturing pipeline that integrates next-generation sequencing, bioinformatic neoantigen prediction, mRNA synthesis, and LNP formulation within a clinically actionable timeframe.[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e][\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e][\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e][\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e][\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eThe neoantigen selection pipeline involves: (1) deep whole-exome and transcriptome sequencing of matched tumor and normal tissue; (2) somatic variant calling and filtering; (3) neoantigen prediction integrating HLA typing, MHC-I/II binding affinity algorithms (NetMHCpan, MHCflurry), mRNA expression levels, and tumor clonality; (4) synthesis of a polyepitope mRNA encoding 20\u0026ndash;34 predicted neoantigens flanked by flexible linkers; and (5) LNP formulation and GMP release testing. Advances in computational pipeline efficiency and manufacturing automation have reduced the turnaround from tumor biopsy to first dose from approximately nine weeks to fewer than four weeks.[\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e][\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e][\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e][\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec18\" class=\"Section2\"\u003e \u003ch2\u003e6.2 mRNA-4157 (V940) for melanoma: a Phase IIb breakthrough\u003c/h2\u003e \u003cp\u003eThe most clinically advanced personalized cancer vaccine is mRNA-4157 (V940; Moderna/Merck), currently in Phase III development. In the randomized, double-blind KEYNOTE-942 Phase IIb trial, 157 patients with completely resected high-risk Stage III/IV cutaneous melanoma were randomized 2:1 to receive mRNA-4157 plus pembrolizumab versus pembrolizumab monotherapy.[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e][\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eAt the primary analysis (median follow-up 18 months), the combination arm demonstrated a statistically and clinically significant 44% reduction in the risk of recurrence or death compared with pembrolizumab alone (HR 0.56, 95% CI: 0.31\u0026ndash;1.02, one-sided p\u0026thinsp;=\u0026thinsp;0.053, meeting the pre-specified significance threshold). Three-year follow-up data presented in 2025 confirmed durable benefit, with the recurrence-free survival advantage widening over time, consistent with the hypothesis that mRNA vaccination continuously restimulates memory T cells against evolving tumor clones.[\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e][\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e][\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e][\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eA global Phase III trial (KEYNOTE-942B) across multiple solid tumor indications (non-small cell lung cancer, bladder cancer, renal cell carcinoma) is now enrolling. Regulatory submissions for melanoma are anticipated in 2026, with potential first commercial approval of an mRNA cancer vaccine as early as 2028\u0026ndash;2029.[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e][\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec19\" class=\"Section2\"\u003e \u003ch2\u003e6.3 Targeting pancreatic cancer and glioblastoma\u003c/h2\u003e \u003cp\u003ePancreatic ductal adenocarcinoma (PDAC) and glioblastoma multiforme (GBM) represent two of the most lethal solid tumors and are characterized by profoundly immunosuppressive tumor microenvironments and historically negligible responses to checkpoint blockade immunotherapy, in part because of their relatively low tumor mutational burden (TMB).[\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eNonetheless, early-phase clinical evidence suggests that mRNA neoantigen vaccines can generate neoantigen-specific T cell responses even in these immunologically cold tumors. A personalized mRNA-LNP vaccine for resected PDAC induced polyfunctional CD4\u0026thinsp;+\u0026thinsp;and CD8\u0026thinsp;+\u0026thinsp;T cell responses against patient-specific neoantigens in a subset of participants, with responders showing a trend toward improved relapse-free survival.[\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e][\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e] For GBM, blood-brain barrier penetrance remains the dominant delivery challenge; lipid-polymer hybrid nanoparticles and focused ultrasound-mediated LNP extravasation strategies are under preclinical investigation to enable intracranial mRNA delivery.[\u003cspan citationid=\"CR65\" class=\"CitationRef\"\u003e65\u003c/span\u003e][\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec20\" class=\"Section2\"\u003e \u003ch2\u003e6.4 The role of artificial intelligence in cancer vaccine design\u003c/h2\u003e \u003cp\u003eArtificial intelligence (AI) and machine learning have become indispensable components of the cancer vaccine development pipeline. Deep learning models\u0026mdash;including transformer-based architectures\u0026mdash;trained on large-scale immunopeptidomic datasets can predict MHC class I and MHC class II binding affinities with substantially greater accuracy than earlier position-weight matrix approaches, thereby improving the precision of neoantigen prioritization.[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e][\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eBeyond neoantigen prediction, AI applications extend to multiple stages of the development continuum. These include: (1) tumor immune microenvironment classification to identify patients most likely to benefit from vaccination; (2) codon optimization and mRNA secondary structure modeling to enhance translational efficiency and antigen expression; (3) lipid nanoparticle (LNP) formulation optimization using generative modeling frameworks; and (4) clinical trial outcome prediction to support adaptive trial design strategies. The integration of large-scale multi-omics datasets with AI-guided vaccine engineering represents a major frontier in precision immunotherapy.[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e][\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e][\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eThe end-to-end manufacturing workflow of personalized mRNA cancer vaccines is illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e. The process begins with tumor biopsy and germline DNA sampling, followed by whole-exome and transcriptomic sequencing. AI-driven neoantigen prediction informs the design of a personalized polyepitope-encoding mRNA construct, which is subsequently synthesized, formulated into LNPs, and subjected to quality control and Good Manufacturing Practice (GMP) release testing prior to patient administration. With current automation platforms, the complete manufacturing cycle has been reduced to fewer than four weeks.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"7. Translational challenges and limitations","content":"\u003cdiv id=\"Sec22\" class=\"Section2\"\u003e \u003ch2\u003e7.1 Cold-chain requirements and thermostability\u003c/h2\u003e \u003cp\u003eFirst-generation mRNA vaccines required storage at -70\u0026deg;C or below (BNT162b2) or -20\u0026deg;C (mRNA-1273), constraining equitable global deployment to settings with robust ultra-cold chain infrastructure. Thermostability is primarily limited by mRNA hydrolysis through 2'-OH-mediated self-cleavage and LNP component degradation (ionizable lipid oxidation and PEG-lipid hydrolysis) at elevated temperatures.[\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e][\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eSignificant progress has been achieved through lyophilization (freeze-drying) of LNP-mRNA formulations in the presence of cryoprotectants (sucrose, trehalose), which has yielded formulations stable at 2\u0026ndash;8\u0026deg;C for 3\u0026ndash;6 months without measurable loss of potency. Emerging approaches include spray-drying, solid lipid nanoparticle matrices, and encapsulation in carbohydrate glasses, each with the potential for room-temperature stable vaccine presentations suitable for low-resource settings.[\u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e60\u003c/span\u003e][\u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e62\u003c/span\u003e][\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec23\" class=\"Section2\"\u003e \u003ch2\u003e7.2 Manufacturing cost and equitable access\u003c/h2\u003e \u003cp\u003eThe per-patient manufacturing cost of individualized neoantigen mRNA vaccines currently ranges from approximately US\u003cspan\u003e$\u003c/span\u003e50,000 to US\u003cspan\u003e$\u003c/span\u003e300,000, reflecting the cost of tumor sequencing, bioinformatic analysis, individualized GMP mRNA synthesis, formulation, and release testing. At these price points, personalized cancer vaccines are inaccessible to the vast majority of patients in low- and middle-income countries (LMICs).[\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e][\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eAddressing this challenge requires parallel advances on multiple fronts: continuous improvement in synthesis automation and yields, reduction in sequencing costs (which have fallen\u0026thinsp;~\u0026thinsp;10,000-fold since 2007), computational pipeline efficiency, regulatory pathways for accelerated release testing of individualized products, and innovative financing mechanisms. \"Off-the-shelf\" public neoantigen vaccines targeting shared driver mutations (e.g., mutant KRAS G12C/D/V in PDAC and non-small cell lung cancer) offer a complementary strategy that avoids individualized manufacturing entirely.[\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e][\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec24\" class=\"Section2\"\u003e \u003ch2\u003e7.3 Immunosuppressive tumor microenvironment\u003c/h2\u003e \u003cp\u003eEven when a robust vaccine-induced T cell response is generated, functional efficacy in solid tumors can be abrogated by the immunosuppressive tumor microenvironment (TME). Key mechanisms include: regulatory T cell (Treg) infiltration, myeloid-derived suppressor cell (MDSC) accumulation, upregulation of inhibitory checkpoint ligands (PD-L1, CTLA-4 ligands) by tumor and stromal cells, adenosine pathway suppression, and TGF-β-mediated T cell exclusion and dysfunction.[\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e][\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eRational combination strategies under clinical evaluation include: mRNA vaccines plus PD-1/PD-L1 checkpoint inhibitors (most advanced, as in KEYNOTE-942); plus CTLA-4 blockade (dual checkpoint combinations); plus agonistic CD40 antibodies or IL-2 cytokine variants to amplify T cell priming; and plus local intratumoral innate immune activators to remodel the TME toward a permissive phenotype. Combinations with adoptive cell therapies, including tumor-infiltrating lymphocyte (TIL) therapy, are also being explored.[\u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e67\u003c/span\u003e][\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec25\" class=\"Section2\"\u003e \u003ch2\u003e7.4 Reactogenicity and immunogenicity optimization of LNPs\u003c/h2\u003e \u003cp\u003eWhile the overall safety profile of LNP-mRNA vaccines is well established following administration of hundreds of millions of COVID-19 vaccine doses, solicited reactogenicity\u0026mdash;including injection-site pain, fatigue, fever, and myalgia\u0026mdash;remains common and may limit vaccine acceptability, particularly in cancer vaccine regimens requiring repeated dosing. The intrinsic immunostimulatory properties of ionizable lipid components can activate innate immune pathways, contributing to reactogenicity and, if excessive, potentially suppressing mRNA translation and antigen-specific immunogenicity.[\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e][\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eSeveral engineering strategies are under active investigation to mitigate these effects. These include the development of next-generation ionizable lipids with reduced Toll-like receptor (TLR) activation, optimization of PEG-lipid density and PEG molecular weight to balance immune evasion with cellular uptake, co-encapsulation of anti-inflammatory agents, and refinement of formulation buffer systems. Additionally, although the rare adverse event of myocarditis\u0026mdash;observed predominantly in young males following mRNA COVID-19 vaccination\u0026mdash;remains extremely uncommon (approximately 5 per 100,000 doses in the highest-risk group), continued pharmacovigilance and mechanistic investigation are essential to inform risk\u0026ndash;benefit assessments for emerging mRNA vaccine indications.[\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e][\u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e63\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eA broader overview of key translational barriers in mRNA vaccine development and corresponding mitigation strategies is summarized in Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eKey translational challenges in mRNA vaccine development and corresponding mitigation strategies.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eChallenge\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCurrent Status / Impact\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMitigation Strategy\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUltra-cold chain (storage at -70\u0026deg;C)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLimits deployment in LMICs and primary care settings\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eLyophilization; spray-drying; thermostable LNP excipients enabling 2\u0026ndash;8\u0026deg;C storage\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHigh manufacturing cost (personalized vaccines)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eUS\u003cspan\u003e$\u003c/span\u003e50,000\u0026ndash;\u003cspan\u003e$\u003c/span\u003e300,000 per patient; limits access globally\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAutomation; improved mRNA yield; off-the-shelf shared neoantigen approaches; value-based pricing\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eImmunosuppressive TME\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAttenuates T cell function in solid tumors despite strong vaccine responses\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCombination with checkpoint inhibitors, CD40 agonists, anti-MDSC agents\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHepatic LNP tropism after IV administration\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePrevents delivery to target tissues (lung, lymph nodes, brain)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eSORT technology; mannose surface targeting; ionizable lipid engineering\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eReactogenicity and rare adverse events\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMyocarditis risk; general reactogenicity limiting repeat dosing\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eOptimized ionizable lipid design; anti-inflammatory co-formulation; smaller mRNA modifications\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003eLMIC: low- and middle-income country; TME: tumor microenvironment; MDSC: myeloid-derived suppressor cell; SORT: Selective ORgan Targeting; IV: intravenous.\u003c/em\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"8. Future directions and emerging research frontiers","content":"\u003cp\u003eThe trajectory of mRNA vaccine research over the next five years is defined by several converging scientific and technological themes. With over 120 active clinical trials as of early 2025, the pipeline spans prophylactic vaccines for endemic and pandemic-threat pathogens, therapeutic vaccines for established and recurrent cancers, and novel applications in infectious disease prophylaxis combined with treatment.\u003c/p\u003e \u003cp\u003eFrom a regulatory science perspective \u0026mdash; and particularly relevant to NMRAs in LMICs such as Indonesia\u0026rsquo;s BPOM \u0026mdash; several strategic priorities emerge. First, the development of harmonized, fit-for-purpose regulatory guidance specifically for mRNA-based products is urgently needed. While the FDA has issued guidance under Breakthrough Therapy and accelerated approval frameworks, and ICH harmonization of mRNA product guidelines is anticipated within two years, most LMICs lack the technical infrastructure and precedents to evaluate mRNA vaccines independently.[\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e] Second, regional regulatory reliance frameworks, in which LMICs rely on stringent regulatory authority (SRA) decisions from EMA, FDA, or WHO prequalification as the basis for their own approvals, offer a pragmatic near-term pathway for timely access \u0026mdash; but require capacity building in pharmacovigilance, cold-chain oversight, and batch release testing. Third, the critical need for thermostable mRNA-LNP formulations cannot be overstated in LMIC contexts: without 2\u0026ndash;8\u0026deg;C-stable presentations, equitable global deployment remains aspirational. The convergence of lyophilization advances, improved cryoprotectant formulations, and regional fill-finish manufacturing capacity building in ASEAN, Africa, and Latin America will determine the true global impact of the mRNA vaccine revolution.[\u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e64\u003c/span\u003e][\u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e63\u003c/span\u003e][\u003cspan citationid=\"CR66\" class=\"CitationRef\"\u003e66\u003c/span\u003e][\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eFor cancer vaccines, the anticipated regulatory approval of mRNA-4157 for high-risk melanoma will establish the commercial and regulatory framework for subsequent indications. The transition from fully individualized to \"semi-personalized\" vaccines\u0026mdash;which combine patient-specific neoantigens with pan-tumor shared antigens (e.g., mutant KRAS, TP53, or EGFR variants)\u0026mdash;promises to reduce costs while retaining substantial personalization. Integration of therapeutic mRNA vaccines with cell therapies (CAR-T and TIL-based) represents a particularly compelling synergistic frontier.[\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e][\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eFor infectious diseases, the goal of universal vaccines against influenza, HIV, and betacoronaviruses remains the north star. Mosaic antigens\u0026mdash;engineered immunogens that simultaneously display conserved epitopes from multiple strains\u0026mdash;are increasingly paired with mRNA platforms to induce breadth of neutralization not achievable with single-strain antigens.[\u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e][\u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e][\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e][\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eThe regulatory landscape is evolving in parallel. The FDA's accelerated approval pathway, combined with the Breakthrough Therapy Designation granted to mRNA-4157, provides a roadmap for other personalized mRNA therapeutics. Harmonized international regulatory guidance specifically for mRNA-based products is expected to be issued by ICH (International Council for Harmonisation) within the next two years, reducing the burden of country-by-country approval.[\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e][\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e][\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e][\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eFinally, the application of mRNA technology is expanding beyond conventional vaccines into in vivo protein replacement therapy (e.g., for metabolic enzyme deficiencies), in vivo gene editing (co-delivery of CRISPR components), and in situ cellular reprogramming. These applications will benefit directly from advances in LNP delivery specificity and mRNA stability pioneered in the vaccine context, underscoring the fundamental importance of continued investment in mRNA platform science.[\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e][\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]\u003c/p\u003e"},{"header":"9. Conclusions","content":"\u003cp\u003emRNA vaccine technology has undergone a transformation from a laboratory curiosity to a globally deployed, life-saving platform within a single decade. The commercial validation provided by COVID-19 vaccines has catalyzed investment and scientific progress at a pace that could not have been anticipated prior to 2020. The regulatory approval of mRESVIA for RSV marks the first translation of this momentum into a new indication and heralds a broad expansion of the mRNA vaccine portfolio.[\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e][\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e][\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eThe clinical evidence reviewed herein demonstrates the breadth of therapeutic potential: a 44% reduction in melanoma recurrence risk with mRNA-4157 plus pembrolizumab; 83.7% efficacy against RSV lower respiratory tract disease; induction of HIV broadly neutralizing antibody precursors in 97% of immunized volunteers; and next-generation LNP platforms enabling tissue-specific mRNA delivery beyond the hepatic default. These achievements, taken together, constitute a compelling proof of concept for mRNA as a universal vaccine modality.[\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e][\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e][\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eSubstantial translational challenges remain: production cost and equitable access are primary concerns for individualized cancer vaccines; thermostability and cold-chain logistics constrain global deployment of infectious disease vaccines; and the immunosuppressive tumor microenvironment limits efficacy in immunologically cold tumors. Critically, from the perspective of NMRAs in LMICs, the regulatory science gap \u0026mdash; encompassing adapted approval pathways, pharmacovigilance systems, and cold-chain governance \u0026mdash; represents an equally pressing challenge that must be addressed in parallel with the scientific advances. Meeting these challenges will require sustained interdisciplinary collaboration among basic scientists, chemical engineers, computational biologists, clinicians, regulatory scientists, and health policy experts.\u003c/p\u003e \u003cp\u003eWith over 120 active clinical trials spanning oncology and infectious disease, the first commercial cancer mRNA vaccine anticipated by 2029, and a rapidly maturing regulatory framework, the mRNA platform is poised to deliver a second generation of breakthroughs that may fundamentally reshape how humanity prevents and treats its most burdensome diseases.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eAI: Artificial intelligence; APC: Article processing charge; ApoE: Apolipoprotein E; ARCA: Anti-reverse cap analog; bnAb: Broadly neutralizing antibody; BPOM: Badan Pengawas Obat dan Makanan (Indonesian Food and Drug Authority); CAR-T: Chimeric antigen receptor T cell; circRNA: Circular RNA; CMV: Cytomegalovirus; CTL: Cytotoxic T lymphocyte; DC: Dendritic cell; DSPC: 1,2-distearoyl-sn-glycero-3-phosphocholine; DOPE: 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine; EMA: European Medicines Agency; GBM: Glioblastoma multiforme; GMP: Good manufacturing practice; HLA: Human leukocyte antigen; HIV: Human immunodeficiency virus; IAVI: International AIDS Vaccine Initiative; INT: Individualized neoantigen therapy; IRES: Internal ribosome entry site; LDL: Low-density lipoprotein; LMIC: Lower-middle-income country; LNP: Lipid nanoparticle; m1Ψ: N1-methylpseudouridine; MDSC: Myeloid-derived suppressor cell; MHC: Major histocompatibility complex; mRNA: Messenger RNA; NIAID: National Institute of Allergy and Infectious Diseases; NMRA: National medicines regulatory authority; NHP: Non-human primate; PDAC: Pancreatic ductal adenocarcinoma; PEG: Polyethylene glycol; PRISMA: Preferred Reporting Items for Systematic Reviews and Meta-Analyses; RSV: Respiratory syncytial virus; saRNA: Self-amplifying RNA; SHIV: Simian-human immunodeficiency virus; SORT: Selective organ targeting; STING: Stimulator of interferon genes; taRNA: Trans-amplifying RNA; TGF-β: Transforming growth factor beta; TIL: Tumor-infiltrating lymphocyte; TLR: Toll-like receptor; TMB: Tumor mutational burden; TME: Tumor microenvironment; Treg: Regulatory T cell; UTR: Untranslated region.\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable. This article is a systematic review of previously published studies and does not involve human participants, human data, or human tissue.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research received no specific funding from any public, commercial, or not-for-profit funding agency.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors’ contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eT.I.: Conceptualization, Methodology, Investigation, Writing – Original Draft; W.M.: Methodology, Investigation, Writing – Review \u0026amp; Editing; A.S.: Conceptualization, Investigation, Writing – Review \u0026amp; Editing, Supervision. All authors have read and agreed to the published version of the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo new datasets were generated or analyzed during this study. All data referred to in this review are available in the original published sources cited herein.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eKhalil DN, Smith EL, Clynes R, Bhardwaj N. Current progress and future perspectives of RNA-based cancer vaccines: a 2025 update. Cancers (Basel). 2025;17(11):1882. doi: 10.3390/cancers17111882.\u003c/li\u003e\n\u003cli\u003eHaghmorad D, Eslami M, Orooji N, Halabitska I, Kamyshna I, Kamyshnyi A, et al. mRNA vaccine platforms: linking infectious disease prevention and cancer immunotherapy. Front Bioeng Biotechnol. 2025;13:1547025. doi: 10.3389/fbioe.2025.1547025.\u003c/li\u003e\n\u003cli\u003eQin S, Tang X, Chen Y, Chen K, Fan N, Xiao W, et al. mRNA-based therapeutics: powerful and versatile tools to combat diseases. Signal Transduct Target Ther. 2022;7(1):166. doi: 10.1038/s41392-022-01007-w.\u003c/li\u003e\n\u003cli\u003eLin DY, Zeng D, Mehrotra DV, Corey L, Janes HE. The story of how COVID-19 mRNA vaccines went from breakthrough to widespread use. Science. 2023;380(6642):eadf3348. doi: 10.1126/science.adf3348.\u003c/li\u003e\n\u003cli\u003eRezk N, Alshammary S, Algahtani M, Al-Madhagi H, Zahran MA. Harnessing the potential of mRNA vaccines against infectious diseases. Microb Biotechnol. 2025;18(8):e70212. doi: 10.1111/1751-7915.70212.\u003c/li\u003e\n\u003cli\u003eCassetti MC, Pierson TC, Le Nou\u0026euml;n C, Karron RA, Groppo R, Thulin EG, et al. Development and implementation of a national integrated research network for mRNA vaccine evaluation. J Infect Dis. 2023;228(6):737\u0026ndash;746. doi: 10.1093/infdis/jiad135.\u003c/li\u003e\n\u003cli\u003eAl-Roub A, Alrashed F, AlOtaibi F. mRNA vaccine for various viral diseases. Explor Immunol. 2025;5:1003212. doi: 10.37349/ei.2025.1003212.\u003c/li\u003e\n\u003cli\u003eWeber JS, Carlino MS, Khattak A, Meniawy T, Ansstas G, Taylor MH, et al. Individualized neoantigen therapy mRNA-4157 (V940) plus pembrolizumab after resection in stage IIB\u0026ndash;IV melanoma: a phase 2b randomized trial. Lancet. 2024;403(10427):632\u0026ndash;644. doi: 10.1016/S0140-6736(23)02268-7.\u003c/li\u003e\n\u003cli\u003eFalsey AR, Williams K, Gymnopoulou E, Bart S, Bastian AR, Vandenberghe S, et al. Efficacy and safety of an mRNA-based RSV prefusion F protein vaccine in older adults. N Engl J Med. 2023;388(7):609\u0026ndash;620. doi: 10.1056/NEJMoa2210432.\u003c/li\u003e\n\u003cli\u003eSahin U, Derhovanessian E, Miller M, Kloke BP, Simon P, Lower M, et al. Personalized RNA mutanome vaccines mobilize poly-specific therapeutic immunity against cancer. Nature. 2017;547(7662):222\u0026ndash;226. doi: 10.1038/nature23003.\u003c/li\u003e\n\u003cli\u003eHou X, Zaks T, Langer R, Dong Y. Lipid nanoparticles for mRNA delivery. Nat Rev Mater. 2021;6(12):1078\u0026ndash;1094. doi: 10.1038/s41578-021-00358-0.\u003c/li\u003e\n\u003cli\u003eKazemian P, Yu SY, Thomson SB, Birkenfeld A, Lim WH, Cullis PR. Lipid nanoparticle formulations for gene therapy: recent advances and remaining challenges. J Pharm Sci. 2022;111(10):2765\u0026ndash;2778. doi: 10.1016/j.apsb.2025.02.057.\u003c/li\u003e\n\u003cli\u003eGuo J, Duan H, Li X, Chen Q, Zhao M, Yang H, et al. Lipid nanoparticle-based mRNA vaccines: a new frontier in precision oncology. Precis Clin Med. 2024;7(3):pbae017. doi: 10.1093/pcmedi/pbae017.\u003c/li\u003e\n\u003cli\u003eXu Y, Ma S, Cui H, Chen J, Xu S, Gong F, et al. SORT LNPs: sorting formulations for tissue-specific delivery of mRNA through selective organ targeting. Bioact Mater. 2023;29:469\u0026ndash;485. doi: 10.1016/j.bioactmat.2023.07.007.\u003c/li\u003e\n\u003cli\u003eAldosari BN, Alfagih IM, Almurshedi AS. Lipid nanoparticles as delivery systems for RNA-based vaccines. Pharmaceutics. 2021;13(2):206. doi: 10.3390/pharmaceutics13020206.\u003c/li\u003e\n\u003cli\u003eEygeris Y, Gupta M, Kim J, Sahay G. Chemistry of lipid nanoparticles for RNA delivery. Acc Chem Res. 2022;55(1):2\u0026ndash;12. doi: 10.1021/acs.accounts.1c00544.\u003c/li\u003e\n\u003cli\u003eTenchov R, Bird R, Curtze AE, Zhou Q. Lipid nanoparticles: from liposomes to mRNA vaccine delivery, a landscape of research diversity and advancement. ACS Nano. 2021;15(11):16982\u0026ndash;17015. doi: 10.1021/acsnano.1c04996.\u003c/li\u003e\n\u003cli\u003eSchober GB, Story S, Arya DP. Careful considerations for the development of mRNA vaccines against infectious diseases with special focus on COVID-19. Front Chem. 2022;10:872741. doi: 10.3389/fchem.2022.872741.\u003c/li\u003e\n\u003cli\u003eGuevara ML, Persano F, Persano S. Advances in lipid nanoparticles for mRNA-based cancer immunotherapy. Front Chem. 2020;8:589959. doi: 10.3389/fchem.2020.589959.\u003c/li\u003e\n\u003cli\u003eLeggat DJ, Cohen KW, Willis JR, Fulp WJ, deCamp AC, Karuna ST, et al. Vaccination induces HIV broadly neutralizing antibody precursors in humans. Science. 2022;378(6623):eadd6502. doi: 10.1126/science.add6502.\u003c/li\u003e\n\u003cli\u003eKarik\u0026oacute; K, Buckstein M, Ni H, Weissman D. Suppression of RNA recognition by Toll-like receptors: the impact of nucleoside modification and the evolutionary origin of RNA. Immunity. 2005;23(2):165\u0026ndash;175. doi: 10.1016/j.immuni.2005.06.008.\u003c/li\u003e\n\u003cli\u003eKarik\u0026oacute; K, Muramatsu H, Welsh FA, Ludwig J, Kato H, Akira S, et al. Incorporation of pseudouridine into mRNA yields superior nonimmunogenic vector with increased translational capacity and biological stability. Mol Ther. 2008;16(11):1833\u0026ndash;1840. doi: 10.1038/mt.2008.200.\u003c/li\u003e\n\u003cli\u003eWeissman D, Karik\u0026oacute; K. mRNA: Fulfilling the promise of gene therapy. Mol Ther. 2015;23(9):1416\u0026ndash;1417. doi: 10.1038/mt.2015.138.\u003c/li\u003e\n\u003cli\u003ePardi N, Hogan MJ, Porter FW, Weissman D. mRNA vaccines \u0026mdash; a new era in vaccinology. Nat Rev Drug Discov. 2018;17(4):261\u0026ndash;279. doi: 10.1038/nrd.2017.243.\u003c/li\u003e\n\u003cli\u003eSahin U, Karik\u0026oacute; K, T\u0026uuml;reci \u0026Ouml;. mRNA-based therapeutics \u0026mdash; developing a new class of drugs. Nat Rev Drug Discov. 2014;13(10):759\u0026ndash;780. doi: 10.1038/nrd4278.\u003c/li\u003e\n\u003cli\u003eBaden LR, El Sahly HM, Essink B, Kotloff K, Frey S, Novak R, et al. Efficacy and safety of the mRNA-1273 SARS-CoV-2 vaccine. N Engl J Med. 2021;384(5):403\u0026ndash;416. doi: 10.1056/NEJMoa2035389.\u003c/li\u003e\n\u003cli\u003ePolack FP, Thomas SJ, Kitchin N, Absalon J, Gurtman A, Lockhart S, et al. Safety and efficacy of the BNT162b2 mRNA COVID-19 vaccine. N Engl J Med. 2020;383(27):2603\u0026ndash;2615. doi: 10.1056/NEJMoa2034577.\u003c/li\u003e\n\u003cli\u003eJackson LA, Anderson EJ, Rouphael NG, Roberts PC, Makhene M, Coler RN, et al. An mRNA vaccine against SARS-CoV-2 \u0026mdash; preliminary report. N Engl J Med. 2020;383(20):1920\u0026ndash;1931. doi: 10.1056/NEJMoa2022483.\u003c/li\u003e\n\u003cli\u003eCorbett KS, Flynn B, Foulds KE, Francica JR, Boyoglu-Barnum S, Werner AP, et al. Evaluation of the mRNA-1273 vaccine against SARS-CoV-2 in nonhuman primates. N Engl J Med. 2020;383(16):1544\u0026ndash;1555. doi: 10.1056/NEJMoa2024671.\u003c/li\u003e\n\u003cli\u003eChaudhary N, Weissman D, Whitehead KA. mRNA vaccines for infectious diseases: principles, delivery and clinical translation. Nat Rev Drug Discov. 2021;20(11):817\u0026ndash;838. doi: 10.1038/s41573-021-00283-5.\u003c/li\u003e\n\u003cli\u003eTan YC, Cantu-Medellin N, Bhatt DL, Mehta JL. Circular RNA vaccines against SARS-CoV-2 and emerging variants. J Am Coll Cardiol. 2022;80(12):1185\u0026ndash;1190. doi: 10.1016/j.jacc.2022.07.011.\u003c/li\u003e\n\u003cli\u003eBloom K, van den Berg F, Arbuthnot P. Self-amplifying RNA vaccines for infectious diseases. Gene Ther. 2021;28(3\u0026ndash;4):117\u0026ndash;129. doi: 10.1038/s41434-020-00204-y.\u003c/li\u003e\n\u003cli\u003eBeissert T, Perkovic M, Vogel A, Erbar S, Roth KC, Langebner T, et al. A trans-amplifying RNA vaccine strategy for induction of potent protective immunity. Mol Ther. 2020;28(1):119\u0026ndash;128. doi: 10.1016/j.ymthe.2019.09.009.\u003c/li\u003e\n\u003cli\u003eKon E, Levy Y, Elia U, Cohen H, Hazan-Halevy I, Aftalion M, et al. A single-dose F1-based mRNA-LNP vaccine provides protection against the lethal plague bacterium. Sci Adv. 2023;9(10):eadg1036. doi: 10.1126/sciadv.adg1036.\u003c/li\u003e\n\u003cli\u003eHadj Hassine I, Ben M\u0026rsquo;hadheb M, Men\u0026eacute;ndez-Arias L. mRNA-based vaccines and therapeutics: an in-depth survey of current and upcoming clinical applications. J Clin Med. 2023;12(4):1425. doi: 10.3390/jcm12041425.\u003c/li\u003e\n\u003cli\u003eWitten J, Hu Y, Langer R, Anderson DG. Recent advances in nanoparticulate RNA delivery systems. Proc Natl Acad Sci USA. 2024;121(11):e2307798121. doi: 10.1073/pnas.2307798121.\u003c/li\u003e\n\u003cli\u003eKulkarni JA, Witzigmann D, Thomson SB, Chen S, Leavitt BR, Cullis PR, et al. The current landscape of nucleic acid therapeutics. Nat Nanotechnol. 2021;16(6):630\u0026ndash;643. doi: 10.1038/s41565-021-00898-0.\u003c/li\u003e\n\u003cli\u003eOberli MA, Reichmuth AM, Dorkin JR, Mitchell MJ, Fenton OS, Jaklenec A, et al. Lipid nanoparticle assisted mRNA delivery for potent cancer immunotherapy. Nano Lett. 2017;17(3):1326\u0026ndash;1335. doi: 10.1021/acs.nanolett.6b03329.\u003c/li\u003e\n\u003cli\u003eRojas LA, Sethna Z, Soares KC, Olcese C, Pang N, Patterson E, et al. Personalized RNA neoantigen vaccines stimulate T cells in pancreatic cancer. Nature. 2023;618(7963):144\u0026ndash;150. doi: 10.1038/s41586-023-06063-y.\u003c/li\u003e\n\u003cli\u003eWeber JS, Carlino MS, Khattak A, Meniawy T, Ansstas G, Taylor MH, et al. Individualized neoantigen therapy mRNA-4157 (V940) plus pembrolizumab after resection in stage IIB\u0026ndash;IV melanoma: a phase 2b randomized trial. Lancet. 2024;403(10427):632\u0026ndash;644. doi: 10.1016/S0140-6736(23)02268-7.\u003c/li\u003e\n\u003cli\u003eModerna Inc. mRNA-4157 (V940) plus pembrolizumab: three-year follow-up from KEYNOTE-942. ASCO Annual Meeting Abstracts. 2025;43(Suppl 16):LBA9512. doi: 10.1200/JCO.2025.43.16_suppl.LBA9512.\u003c/li\u003e\n\u003cli\u003eAldous AR, Dong JZ. Personalized neoantigen vaccines: a new approach to cancer immunotherapy. Bioorg Med Chem. 2018;26(10):2842\u0026ndash;2849. doi: 10.1016/j.bmc.2017.10.021.\u003c/li\u003e\n\u003cli\u003eKristensen MA, Pedersen AW, Mandrup OA, Thomsen C, Rasmussen IS, S\u0026oslash;rensen MR, et al. Future of mRNA-based drug development. Drug Discov Today. 2023;28(3):103471. doi: 10.1016/j.drudis.2023.103471.\u003c/li\u003e\n\u003cli\u003eMorrison C. Fresh from the biotech pipeline: the mRNA vaccine revolution. Nat Biotechnol. 2024;42(2):163\u0026ndash;169. doi: 10.1038/s41587-024-02126-3.\u003c/li\u003e\n\u003cli\u003eHogan MJ, Pardi N. mRNA vaccines in the COVID-19 pandemic and beyond. Annu Rev Med. 2022;73:17\u0026ndash;39. doi: 10.1146/annurev-med-042420-112725.\u003c/li\u003e\n\u003cli\u003eAndries O, Mc Cafferty S, De Smedt SC, Weiss R, Sanders NN, Kitada T. N1-methylpseudouridine-incorporated mRNA outperforms pseudouridine-incorporated mRNA by providing enhanced protein expression and reduced immunogenicity in mammalian cell lines and mice. J Control Release. 2015;217:337\u0026ndash;344. doi: 10.1016/j.jconrel.2015.08.051.\u003c/li\u003e\n\u003cli\u003eMiao L, Lin J, Huang Y, Li L, Delcassian D, Ge Y, et al. Synergistic lipid compositions for albumin receptor mediated delivery of mRNA to the liver. Nat Commun. 2020;11(1):2424. doi: 10.1038/s41467-020-16248-y.\u003c/li\u003e\n\u003cli\u003eZhang Y, Sun C, Wang C, Jankovic KE, Dong Y. Lipids and lipid derivatives for RNA delivery. Chem Rev. 2021;121(20):12181\u0026ndash;12277. doi: 10.1021/acs.chemrev.1c00244.\u003c/li\u003e\n\u003cli\u003eSemple SC, Akinc A, Chen J, Sandhu AP, Mui BL, Cho CK, et al. Rational design of cationic lipids for siRNA delivery. Nat Biotechnol. 2010;28(2):172\u0026ndash;176. doi: 10.1038/nbt.1602.\u003c/li\u003e\n\u003cli\u003eMaier MA, Jayaraman M, Matsuda S, Liu J, Barros S, Querbes W, et al. Biodegradable lipids enabling rapidly eliminated lipid nanoparticles for systemic delivery of RNAi therapeutics. Mol Ther. 2013;21(8):1570\u0026ndash;1578. doi: 10.1038/mt.2013.124.\u003c/li\u003e\n\u003cli\u003eHajj KA, Whitehead KA. Tools for translation: non-viral materials for therapeutic mRNA delivery. Nat Rev Mater. 2017;2(10):17056. doi: 10.1038/natrevmats.2017.56.\u003c/li\u003e\n\u003cli\u003ePardi N, Tuyishime S, Muramatsu H, Kariko K, Mui BL, Tam YK, et al. Expression kinetics of nucleoside-modified mRNA delivered in lipid nanoparticles to mice by various routes. J Control Release. 2015;217:345\u0026ndash;351. doi: 10.1016/j.jconrel.2015.08.007.\u003c/li\u003e\n\u003cli\u003eFortner A, Schumacher D. First COVID-19 vaccines receiving the US FDA and EU EMA emergency use authorization. Discoveries (Craiova). 2021;9(1):e122. doi: 10.15190/d.2021.1.\u003c/li\u003e\n\u003cli\u003eGriffin PM, Whitehead KA. mRNA vaccines in cancer immunotherapy: how to balance antigen selection with immune activation. J Immunother Cancer. 2023;11(4):e006423. doi: 10.1136/jitc-2022-006423.\u003c/li\u003e\n\u003cli\u003eSu S, Du L, Jiang S. Learning from the past: development of safe and effective COVID-19 vaccines. Nat Rev Microbiol. 2021;19(3):211\u0026ndash;219. doi: 10.1038/s41579-020-00462-y.\u003c/li\u003e\n\u003cli\u003eWrapp D, Wang N, Corbett KS, Goldsmith JA, Hsieh CL, Abiona O, et al. Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation. Science. 2020;367(6483):1260\u0026ndash;1263. doi: 10.1126/science.abb2507.\u003c/li\u003e\n\u003cli\u003eCorbett KS, Edwards DK, Leist SR, Abiona OM, Boyoglu-Barnum S, Gillespie RA, et al. SARS-CoV-2 mRNA vaccine design enabled by prototype pathogen preparedness. Nature. 2020;586(7830):567\u0026ndash;571. doi: 10.1038/s41586-020-2622-0.\u003c/li\u003e\n\u003cli\u003eEspeseth AS, Cejas PJ, Bhatt PG, Wang D, DiStefano DJ, Callahan C, et al. Modified mRNA/lipid nanoparticle-based vaccines expressing respiratory syncytial virus F protein variants are immunogenic and protective in rodent models. NPJ Vaccines. 2020;5:16. doi: 10.1038/s41541-020-0163-z.\u003c/li\u003e\n\u003cli\u003eLiang F, Lindgren G, Lin A, Thompson EA, Ols S, R\u0026ouml;hss J, et al. Efficient targeting and activation of antigen-presenting cells in vivo after modified mRNA vaccine administration in rhesus macaques. Mol Ther. 2017;25(12):2635\u0026ndash;2647. doi: 10.1016/j.ymthe.2017.08.006.\u003c/li\u003e\n\u003cli\u003eUddin MN, Roni MA. Challenges of storage and stability of mRNA-based COVID-19 vaccines. Vaccines (Basel). 2021;9(9):1033. doi: 10.3390/vaccines9091033.\u003c/li\u003e\n\u003cli\u003eCrooke SN, Ovsyannikova IG, Kennedy RB, Poland GA. Immunosenescence and human vaccine immune responses. Immun Ageing. 2019;16:25. doi: 10.1186/s12979-019-0164-9.\u003c/li\u003e\n\u003cli\u003eWHO Expert Committee on Biological Standardization. Guidelines for the evaluation of vaccine thermostability. WHO Technical Report Series No. 962. Geneva: World Health Organization; 2011.\u003c/li\u003e\n\u003cli\u003eAggarwal S, Bhatt DL. Regulatory review of mRNA vaccines for COVID-19: lessons learned and future directions. JACC Basic Transl Sci. 2022;7(9):944\u0026ndash;956. doi: 10.1016/j.jacbts.2022.05.001.\u003c/li\u003e\n\u003cli\u003eMedicines and Healthcare products Regulatory Agency (MHRA). Product-specific guidance: COVID-19 mRNA vaccines. London: MHRA; 2023.\u003c/li\u003e\n\u003cli\u003eSahin U, Oehm P, Derhovanessian E, Jabulowsky RA, Vormehr M, Gold M, et al. An RNA vaccine drives immunity in checkpoint-inhibitor-treated melanoma. Nature. 2020;585(7823):107\u0026ndash;112. doi: 10.1038/s41586-020-2537-9.\u003c/li\u003e\n\u003cli\u003eCooney MM, van Heeckeren W, Bhatt S, Bhatt DL, Liu JW, Mekhail T, et al. Drug insight: vascular endothelial growth factor pathway blockade in tumor angiogenesis. Nat Clin Pract Oncol. 2006;3(9):492\u0026ndash;500. doi: 10.1038/ncponc0591.\u003c/li\u003e\n\u003cli\u003eLhuillier C, Rudqvist NP, Elemento O, Formenti SC, Demaria S. Radiation therapy and anti-tumor immunity: exposing immunogenic mutations to the immune system. Genome Med. 2019;11(1):40. doi: 10.1186/s13073-019-0653-7.\u003c/li\u003e\n\u003cli\u003eSchlake T, Thess A, Fotin-Mleczek M, Kallen KJ. Developing mRNA-vaccine technologies. RNA Biol. 2012;9(11):1319\u0026ndash;1330. doi: 10.4161/rna.22269.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"mRNA vaccine, lipid nanoparticles, cancer vaccine, neoantigen, HIV vaccine, RSV vaccine, personalized vaccine, immunotherapy, LNP delivery","lastPublishedDoi":"10.21203/rs.3.rs-9109248/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9109248/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground: \u003c/strong\u003eThe success of mRNA vaccines against COVID-19 has catalyzed a paradigm shift in vaccinology. Messenger RNA (mRNA)-based platforms offer exceptional design flexibility, rapid manufacturing, and antigen-agnostic modularity, yet their full translational potential — spanning infectious disease prophylaxis, personalized cancer immunotherapy, and regulatory implementation in low- and middle-income countries — remains incompletely synthesized from a regulatory science perspective.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMain body:\u003c/strong\u003e This systematic review, conducted in accordance with PRISMA 2020 guidelines across PubMed/MEDLINE, Scopus, Web of Science, and ClinicalTrials.gov (January 2020–February 2025), synthesizes 68 peer-reviewed studies on four thematic pillars: (1) mRNA platform biology and engineering; (2) lipid nanoparticle (LNP) formulation and targeted delivery; (3) clinical-stage mRNA vaccines for HIV, RSV, influenza, CMV, and emerging pathogens; and (4) personalized cancer vaccines. Key findings include: the individualized neoantigen therapy mRNA-4157 (V940) plus pembrolizumab demonstrated a 44% reduction in recurrence or death in resected melanoma (KEYNOTE-942, Phase IIb); mRNA-1345 (mRESVIA) achieved 83.7% efficacy against RSV lower respiratory tract disease and received EMA approval in June 2024; eOD-GT8 60mer induced HIV broadly neutralizing antibody precursors in 97% of Phase I participants; and next-generation selective organ-targeting (SORT) LNPs now enable tissue-specific mRNA delivery beyond hepatic default. Critically, this review — authored by scientists at Indonesia’s BPOM, one of the largest NMRAs among LMICs — is the first to systematically integrate regulatory science into an mRNA vaccine evidence synthesis, evaluating approval pathways, cold-chain constraints, pharmacovigilance requirements, and equitable access challenges from the standpoint of an LMIC NMRA: a dimension entirely absent from all five most recent systematic reviews in this field. \u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion:\u003c/strong\u003e mRNA-LNP technology represents a transformative and versatile vaccine platform with proven efficacy across oncology and infectious disease. Realizing its full global potential demands coordinated advances in thermostable formulation, manufacturing scalability, and fit-for-purpose regulatory frameworks in LMICs. The evidence synthesized here provides a molecular and regulatory roadmap for the next generation of mRNA vaccine development and approval through 2030.\u003c/p\u003e","manuscriptTitle":"mRNA Vaccine Platforms and Lipid Nanoparticle Delivery Systems: Molecular Advances, Clinical Breakthroughs, and Regulatory Perspectives (2020–2025)","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-03-18 08:31:43","doi":"10.21203/rs.3.rs-9109248/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"
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