Keywords
DNA cancer vaccine, cancer testis antigens , cold tumor, HPV negative head and
neck squamous cell carcinoma
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Abstract
Anti-PD1 blockade benefits only a subset of patients with head and neck squamous cell
carcinoma (HNSCC) , highlighting the need for approaches that overcome tumor immune
resistance. Here, using the doggybone DNA (dbDNATM) platform, we developed CaVac OPT,
an optimized dual-antigen DNA vaccine targeting MAGED4B and FJX1 , which are
overexpressed in most HPV-negative HNSCC and multiple solid tumors. In the MOC-2 oral
cancer model, CaVac OPT significantly reduced tumor growth and when combined with anti-
PD1 therapy, further delayed progression and improved survival. Immune profiling showed
increased infiltration of CD4+ and CD8+ T cells, expansion of stem-like Tcf1+ populations,
without increase in regulatory T cells, a reduced M2/M1 macrophage ratio and activation of
interferon gamma associated pathways with suppression of tumor-promoting signals. These
findings demonstrate that CaVac OPT reprograms the tumor microenvironment, converting
cold HNSCC into T cell -inflamed responsive tumors. CaVac OPT represents a promising
strategy for achieving durable control of aggressive, immunotherapy -resistant head and neck
cancer.
Introduction
Therapeutic cancer vaccines are increasingly recognized for their potential to enhance clinical
outcomes when combined with immune checkpoint inhibitors (ICIs) , particularly in patients
refractory to standalone immunotherapy1–3. These vaccines are engineered to elicit tumor-
specific T-cell responses, promoting their infiltration into the tumor microenvironment (TME)
and augmenting the efficacy ICIs. Among emerging platforms, DNA vaccines have shown
considerable promise. For instance, the DNA vaccine EVX-02, administered alongside ICIs,
induced robust T -cell responses in all 10 stage III/IV melanoma patients evaluated, with no
disease recurrence observed after one year, a notable contrast to the historical recurrence rates
of approximately 30% for nivolumab monotherapy3. Similarly, the DNA vaccine SCIB1
targeting the unmutated melanoma antigen gp100 , achieved an 85% objective response rate
(ORR) in previously untreated , unresectable stage III/IV patients when combined with
nivolumab and ipilimumab , with tumor volume reductions ranging from 40 to 100%, by 25
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weeks post - treatment4. In a phase I/II trial involving advanced hepatocellular carcinoma ,
combining DNA vaccines targeting neoepitopes with ICI pembrolizumab yielded an ORR
exceeding 30%, including an 8% complete response (CR) rate, outperforming the 12-18%
response rates typically observed with anti-PD1 monotherapy. Notably, nearly 90% of the
patients showed neoantigen-specific T -cell responses, underscoring the capacity of DNA
vaccines to generate broad, durable cytotoxic CD8+ T cell responses5.
DNA vaccines offer distinct advantages, including cost effectiveness, safety, stability
and flexibility in design and construction. These attributes enable the construction of complex
vaccines incorporating multivalent antigens and immunostimulatory sequences to optimize T-
cell induction 6–8. Similarly, DNA vaccines can encode numerous neoepitopes tailored to a
patient’s mutanome, thereby enhancing the induction of tumor-reactive T cells and priming de
novo responses alongside the expansion of pre -existing T-cell epitopes5 Recent studies also
suggest that delivery methods, such as in vivo electroporation and needle-free injection systems
(NFIS), enhance T -cell responses and clinical efficacy9–11, offering practical solutions for
administration without complex formulations in late -stage cancer patients . However, most
current DNA vaccines rely on plasmid DNA (pDNA) produced in bacteria, requiring on
antibiotic resistance genes for propagation and necessitating endotoxin removal. While these
extraneous bacterial sequences may boost immunogenicity, they also carry risks, such as
transgene silencing and the potential transfer of antibiotic resistance to the host’s
microbiota12,13. This provides a rational to explore enzymatically produced DNA vaccine, such
as doggybone DNA (dbDNATM).
dbDNATM comprises linear, double-stranded DNA with covalently closed ends ,
synthesized enzymatically via rolling circle amplification by the Phi29 phage polymerase and
subsequent cleavage by the N15 phage protelomerase. Unlike pDNA, dbDNATM is
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minimalistic, encoding only the immunogen of interest under a eukaryotic promoter with a
polyadenylation signal14,15. Our previous work demonstrated that dbDNATM induces cytotoxic
T-cell and humoral immune responses comparable to p DNA vaccine s16 with emerging
evidence suggesting it may offer even greater immunogenicity17,18. While dbDNATM has been
investigated across various applications, its potential as a therapeutic cancer vaccine remains
unexplored, particularly in the context of overcoming an immunosuppressive tumor
microenvironment (TME). In this study, we report the optimization of dbDNATM constructs
targeting cancer -testis antigens MAGED4B and FJX1 frequently expressed in solid
malignancies, incorporating modifications to enhance T-cell responses. We demonstrate that
vaccine candidate CaVac OPT elicits significant, durable protective anti-tumor T-cell response
against an HPV-negative oral carcinoma model , characterized by a suppressive TME and
which is unresponsive to anti -PD1 ICI. Furthermore, we show that CaVac OPT promotes a
shift from M2 to M1 macrophages, underscoring its therapeutic potential.
Results
Optimizations to the dbDNATM vaccine constructs to enhance specific antigen delivery
Here we chose to target cancer -testis antigens MAGED4B and FJX1 due to their prevalent
expression across various cancers, including head and neck squamous cell carcinoma
(HNSCC) 8,19,20, nasopharyngeal carcinoma21, lung cancer and other solid tumors22,23. Initially,
we incorporated several regulatory elements that were previously shown to enhance
immunogenicity of plasmid-based DNA vaccines24. These included the SV40 enhancer which
is designed to augment transcription and promote nuclear translocation , and t ype C CpG
oligodeoxynucleotides ( CpG-C) to activate innate immune signaling via TLR9 25,26
(Supplementary Fig 1). Antigen-specific T cell responses were assessed by interferon gamma
(IFN-γ) ELISPOT assays, with comparisons made to t he unmodified dbDNATM constructs,
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termed Basic 0, which encoded a fusion of each antigen to domain 1 (DOM) of tetanus toxin.
The DOM sequence has been shown to enhance induction of CD8+ T cells to cancer antigens,
resulting in clinical benefits in patients with solid cancers7,27. Despite the incorporation of these
enhancer elements , none significantly i mprove T cell responses compared to the Basic 0
construct (Supplementary Fig 1).
To further improve the vaccines performance, we next explored immune-enhancing
elements to improve antigen delivery to dendritic cells and refi ned the antigen design. This
included fusion of immune -targeting molecules such as Fms-related tyrosine kinase 3 ligand
(Flt3L), or Macrophage Inflammatory Protein -1 alpha (MIP-1a). Both approaches have been
tested clinically with demonstration of robust T-cell responses resulting in meaningful clinical
responses11,28,29. Further variants for FJX1 included engineered conserved consensus antigenic
sequences (Con) to break tolerance to this highly conserved antigen 30. For MAGED4B, we
additionally generated variants with a complete and partial deletion of the MAGE homology
domain (HD) dHD1 and dHD2 respectively , to eliminate epitopes with potential cross -
reactivity to non-target peptides , thereby reducing the risk of off -target cytotoxicity 31,32.
Vaccine variants were compared to a fusion free (FF) construct using a prime/ boost
immunization. Among MAGED4B variants, only the dHD1 construct elicited a notabl y
enhanced IFN-γ response (Figure 1 A). In contrast, for FJX1, the construct fused to Flt3L
induced significantly higher T cell responses (Figure 1B).
We next compared the top-performing variants (dHD1 for MAGED4B, and fusion to
Flt3L for FJX1) to the Basic 0 constructs. dHD1 induced the strongest IFN-γ responses (Figure
1C) while Flt3L-FJX1 elicited significantly higher responses than Basic 0 (Figure 1D). To
assess potential vaccine interference, we compared co-administration of both MAGED4B and
FJX1 vaccines at a single site versus opposite flanks and found comparable T cell responses
with no evidence of immune interference in vivo (Supplementary Fig 2). The combination of
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dHD1 and Flt3L-FJX1, hereafter referred to as CaVac OPT, was selected for further preclinical
evaluation in an oral carcinoma model due to its superior immunogenicity targeting both
MAGED4B and FJX1.
FIGURE 1. dbDNATM vaccines encoding MAGED4B and FJX1 elicit antigen -specific T
cell responses. C57BL/6 mice (9-12 weeks old) were vaccinated intramuscularly (i.m.) with
dbDNATM vaccine constructs in the anterior tibialis muscle with electroporation. A prime-boost
regimen was used, with vaccinations on day one and day twenty-one. Splenocytes were
harvested on day thirty post vaccination and stimulated for 40 h with 1µM MAGED4B or FJX1
overlapping peptide pools. Data are presented as spot -forming cells per million (SFC x 10 6
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cells), with background (<10 SFC/106) subtracted. (A) Schematic illustration of the dbDNATM
vaccine construct targeting MAGED4B. Each construct as indicated also includ ed the CMV
promoter and the SV40 polyA signal. Grey circles represent teRlL sequences, the recognition
and cleavage sites for protelomerase TelN. MAGED4B were fused to immune -stimulatory
molecules MIP-1α, Flt3L or modified by deletion of the MAGE homology do main (dHD1:
amino acids 412-681; dHD2: amino acids 412-500). Vaccine responses were compared to the
fusion-free (FF) vaccine. (B) FJX1 were fused to immune -stimulatory molecules MIP -1α or
Flt3L; the Consensus construct (Con) incorporates consensus sequence modifications derived
from FJX1. Vaccine responses were compared to the fusion-free (FF) FJX1 dbDNA vaccines.
Statistical comparisons were performed using one -way ANOVA with Tukey’s post-hoc test.
Simplified schematic of selected vaccine variants (Basic 0, dHD1 and Flt3L) of (C)
MAGED4B and (D) FJX1 vaccine variants. T cell responses to the most immunogenic variants
(dHD1 for MAGED4B; Flt3L for FJX1) were compared to the tetanus DOM fragment- fused
vaccine (Basic 0). Statistical analysis determined by unpaired two tailed t -test. Statistical
significance is indicated as follows: *p<0.05, **p<0.01, ***p<0.001, ns: not significant.
CaVac OPT controls tumor growth and potentiates anti PD-1 therapy
Murine oral carcinoma-2 (MOC-2) is an aggressive head and neck cancer model derived from
oral squamous cancerous epithelia33. MOC-2 tumors are characterized by a low infiltration of
CD8+ T cells, low expression of MHC-I, high levels of FoxP3+ T regulatory (Tregs) cells and
M2 macrophages33,34; closely resembling the human oral squamous cell carcinoma (OSCC).
Here, MOC-2 cells were engineered to stably express the MAGED4B and FJX1 antigens and
were used to evaluate the efficacy of combination dbDNATM vaccines in controlling tumor
growth. Mice were challenged with MOC-2 tumor cells and vaccinated on day three post
inoculation with either Basic 0 constructs of MAGED4B and FJX1 or CaVac OPT at low
(4µg/mouse) or high (10µg/mouse) doses. Mice that received the vector control exhibited a
progressive increase in tumor burden, whereas both vaccines reduced tumor growth at high
dose; however, CaVac OPT also induced a significant inhibition of tumor growth at the low
dose (p<0.0005) (Figure 2A). Given its superior efficacy at both doses, we further assessed the
therapeutic efficacy of CaVac OPT in mice bearing larger MOC-2 tumors. Mice were
vaccinated with CaVac OPT on day seven post-tumor inoculation. Compared to controls,
vaccinated mice displayed a significantly reduced tumor burden (p<0.05) (Figure 2B).
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To assess the roles of CD4 + and CD8 + T cells in CaVac OPT -mediated anti-tumor
immunity, we administered anti-CD4 or anti-CD8 depleting antibody to MOC-2 tumor-bearing
mice vaccinated with CaVac OPT (Figure 2C) and compared the tumor volumes at the end of
experiments. In CaVac OPT-vaccinated mice, depletion of either CD4+ or CD8+ T cell subsets
contributed to loss of protection against tumor challenge, resulting in a higher tumor burden
compared to vaccinated mice given an isotype control (Figure 2C). This indicates that both T
cell subsets contribute to protection against tumor challenge in this model.
We next evaluated the combination of CaVac OPT with anti-PD1 therapy. Mice were
challenged with high tumor burden and vaccinated with CaVac OPT on day three and day
twenty-four post-tumor challenge. Starting on day eight post-tumor challenge, mice received
eight doses of anti-PD1 or isotype control antibody (Figure 2D). An anti-PD1 alone group was
included for comparison, as MOC-2 tumors are known to be resistant to anti-PD1 treatment35.
The CaVac OPT vaccine significantly sensitized the MOC-2 model to ICI blockade, reducing
tumor burden in mice and acting synergistically with anti-PD1. Kaplan-Meier analysis further
confirmed that combination therapy significantly extended the mean survival compared to
naïve mice, vaccine alone or anti -PD1 alone ( Figure 2D ). These findings demonstrate that
combining CaVac OPT with anti-PD1 enhances anti -tumor immunity in the ‘cold’ MOC -2
tumor model, conferring protection against the disease.
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FIGURE 2. Basic 0 and CaVac OPT vaccine induces superior anti-tumor immunity in
the MOC-2 murine oral carcinoma model.
(A) Schematics of the vaccination schedule: mice were inoculated with 1.6 x 10⁵ MOC-2 tumor
cells and vaccinated on day three and day twenty-four post inoculation. Two vaccine
combinations were tested: Basic 0 (Basic 0 MAGED4B, Basic 0 FJX1) and CaVac OPT
(dHD1 and Flt3L -FJX1). Each combination was administered at low (4 µg/mice) and high
(10µg/mice) doses and compared to a vector control group. Significant tumor growth reduction
was observed in mice receiv ed high dose Basic 0 (blue, p<0.01) and low dose CaVac OPT
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(purple, p<0.001) compared to control. Data (top) are shown as mean ± SEM (n= 8 per group);
individual tumor measurements are displayed below. Statistical analysis determined by
Dunnett’s multiple comparisons test. ( B) Experimental setup: mice were challenged with 2 x
10⁵ MOC-2 tumor cells and vaccinated on day seven and day twenty-eight post-inoculation.
Tumor volume was measured every three days until day thirty. Data are presented as mean ±
SEM (n=8). Statistical significance was determined by the Mann -Whitney test. ( C) Role of
CD4+ and CD8+ T cells in CaVac OPT-mediated protection. Mice were treated with depleting
antibodies against CD4+ or CD8+ (500 µg /mice, i.p., every 3 -4 days in five doses) followed
vaccination with CaVac OPT. Final tumor volumes on day thirty-one were compared to mice
received antibody isotype control. Statistical analysis determined by Dunnett’s multiple
comparisons test. ( D) Combination of CaVac OPT and anti -PD1 therapy. Mice were
challenged with 2 x 10 5 MOC-2 tumor cells and vaccinated with 4 µg CaVac OPT, with anti -
PD1 antibody or anti-PD1 antibody alone (200 µg /mice, clone RMP1-14, every 3-4 days from
day five). IgG2a isotype control antibody (200 µg /mice, clone 1 -1) w as used as control.
Kaplan-Meier survival curves of each treatment group (Log-rank test). Statistical significance
is indicated as follows: *p<0.05, **p<0.01, **3*p<0.001, ns: not significant.
CaVaC OPT facilitated tumor infiltration by T cells
We next utilized immunohistochemistry (IHC) to characterize T cell infiltration within
TME. MOC -2 tumors were harvested at two time points following either priming alone
(harvest at day fifteen) (Figure 3A) or after prime and boost vaccinations (harvest at day thirty
post-inoculation) (Figure 3 B). IHC analysis at day fifteen (post prime) revealed a notable
infiltration of CD8+ and CD4+ T cells in the CaVac OPT-treated group, without an increase in
FoxP3+ Tregs (Figure 3 C). This led to a significant increase in CD8 +/CD4+ T cell ratio
compared to the controls (data not shown), with no significant change in the CD8+/FoxP3+ ratio
(Figure 3E). By day thirty, there was a significant absolute increase in antigen-specific CD8+
and CD4+ T cells, but not FoxP3+ T cells compared to unvaccinated controls (Figure 3D), also
resulting in a significant increase in the ratio of CD8+/FoxP3+ Treg ratios (Figure 3F).
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FIGURE 3. CaVac OPT vaccination enhances anti-tumor immunity via intra-tumoral T
cell infiltration of MOC-2 tumors.
C57BL/6 mice were subcutaneously injected with 2.5 x 10⁵ MOC -2 tumor cells and either
treated or left untreated. Tumors were excised, fixed in 4% paraformaldehyde and processed
for immunohistochemistry (IHC) analysis. ( A–B) Representative IHC images of tumor
infiltrating T cells following (A) prime vaccination alone on day three post tumor inoculation
or (B) prime and boost vaccination administered on day three and day twenty-four post tumor
inoculation. Tumor sections from control and CaVac OPT-treated mice were stained for CD8⁺,
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CD4⁺, and FoxP3⁺ cells. Positive staining is indicated in brown. Scale bar = 20 μm. Statistical
significance is indicated as follows: *p<0.05, **p<0.01***p<0.001, ns: not significant. % of
CD8⁺, CD4⁺, or FoxP3⁺ for immunohistochemistry staining are presented in scatter plots. Ten
random fields from each section were counted. (C) Dot plots depicting the percentage of CD8⁺,
CD4⁺, and FoxP3⁺ cells in across control mice (n=5) and vaccinated mice (n=4) following
prime vaccination. (D) Dot plots depicting the percentage of CD8⁺, CD4⁺, and FoxP3⁺ cells in
control mice (n=5) and vaccinated mice (n=6) following prime and boost vaccination. (E)
Violin plots illustrate the ratios of CD8⁺/FoxP3⁺ and CD4⁺/FoxP3⁺ T cells across control mice
(n=5) and vaccinated mice (n=4) after prime vaccination. (F) Violin plots illustrate the ratios
of CD8⁺/FoxP3⁺ and CD4⁺/FoxP3⁺ T cells across treatment groups after prime and boost
vaccination. Statistical analysis was performed using the Mann–Whitney test.
CaVaC OPT vaccination reprograms the transcriptome towards enhanced IFN-γ signaling
and cytotoxic T cell recruitment
To assess changes in gene expression, we performed bulk RNAseq analysis on CD45+
tumor-infiltrating immune cells to compare the immune landscape between vaccinated and
control mice post priming (Figure 4A). We analyzed differentially expressed genes (DEGs)
and associated signaling pathways between the vaccinated and control groups. At day fifteen
post-vaccination, 23 genes were significantly upregulated and 70 were significantly
downregulated (log2FC>|0.5|, padj<0.1) (Figure 4B, Supplementary table 1). Notably, genes
encoding molecules associated with cytolytic T-cell function such as Gzmk, Ifng and Nkg7 were
markedly upregulated (log2FC +3.0, +2.4, +1.6, respectively; padj<0.1) in the vaccinated group
(Figure 4B). Additionally, expression of the T cell homing receptor Cxcr3 (log2FC +1.46) and
chemokine Ccl5 (log2FC +1.47) was elevated, indicating enhanced priming and recruitment of
cytotoxic lymphocytes to the tumor site. Gene Set enrichment analysis (GSEA) using Hallmark
gene sets identified 15 significant enriched pathways (p<0.005), including IFN-γ response
(normalized enrichment score [NES] +1.46) pathway and interferon alpha response (NES +1.5)
(Figure 4C) (Supplementary table 2 ). Further enrichment analyses with Reactome and Gene
Ontology (GO) databases (Supplementary table 3 ) highlighted pathways related to T cell
receptor complex activation. KEGG pathway analysis (Supplementary table 4 ) also showed
positive enrichment in antigen processing and presentation (mmu04612, NES +2.1). Both DEG
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and GSEA analyses consistently highlighted enhanced IFN-γ signaling in the vaccinated group
(Figure 4 D), suggesting infiltration of effector T cells with enhanced IFN-γ signaling and
antigen processing and presentation with the vaccinated group (Figure 4D).
FIGURE 4. CaVac OPT vaccination reshapes immune cell composition in cold tumors.
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C57BL/6 mice were subcutaneously injected with 2.5 x 10⁵ MOC -2 tumor cells and treated
with or without CaVac OPT. On day fifteen post tumor challenge, tumors were harvested and
CD45⁺ tumor -infiltrating lymphocytes (TILs) were isolated for bulk RNA sequencing. (A)
Principal Component Analysis (PCA) of variance stabilized (VST) bulk RNA sequencing data
from CD45+ TILs in control (n=4) and CaVac OPT vaccinated samples (n=5). Axes indicate
the percentage of variance explained by each principal component. Each dot represents one
mouse. (B) Volcano plot of differentially expressed genes (DEGs) between control (n = 4) and
vaccinated (n = 5) mice. Red dots indicate significantly different genes (log₂FC > 0.5, adjusted
p < 0.1). (C) Gene set enrichment analysis (GSEA) annotation of the top 15 enriched pathways
from Hallmark, top 30 Gene Ontology (GO) and top 10 KEGG databases. (D) GSEA ridge
plots and heatmaps of interferon -gamma response and antigen processing and presentation
gene signatures. Left: Ridge plot and heatmap shows expression profiles of IFN-γ-related genes
(NES = 1.46); right: antigen processing and presentation (NES = 2.1) in control and vaccinated
tumors.
CaVac OPT increases CD8+ memory T cell differentiation and activation
We next performed bulk RNAseq analysis on CD45+ TILs at day thirty post-tumor challenge
to assess longitudinal changes in gene expression (Figure 5A). Differential expression analysis
identified 512 significant DEGs (padj0.5) (Supplementary table 5), including
211 upregulated and 301 downregulated genes in vaccinated compared to control mice (Figure
5B). Notably, transcription factor Tcf7 (log2FC +2.55) and Lef1 (log2FC +3.8), both critical
transcriptional regulators of memory T cell differentiation , were significantly upregulated.
Using the gene set signature-based algorithm ImmucellAI, we observed a significant expansion
of CD8+ central memory T cells within the T cell population (Figure 5C). Consistent with these
findings, IHC analyses of tumor tissues following boost vaccination confirmed a significant
enrichment of transcription factor 1 (Tcf1) Tcf1+ cells, which exhibited characteristics of T cell
memory stem cells (TSCM) (Figure 5D). Together, these results suggest that boost vaccination
promotes the expansion of CD8+ memory T cells, supporting their role in durable anti-tumor
protection.
CaVaC OPT vaccine shifts macrophage polarization towards an M1 phenotype in the TME
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Macrophages play a critical role in the TME, capable of polarizing toward phenotypes that
either promote or suppress tumor progression. Heatmap visualization of bulk RNA-seq data
revealed a significant ablation in M2-like gene expression in the vaccinated group (Figure 5E,
Supplementary table 5). Specifically, tumor-associated macrophages (TAMs) from vaccinated
mice exhibited diminished expression of transcription factor Gata2 (log2FC -1.2, p<0.002) and
downregulation of Il10ra, Il13, Il27 (log2FC -1.1, -1.4, -1.6, p<0.001), suggesting that CaVac
OPT reduces M2-like macrophage signature in TME. Additionally, expression of inhibitory
receptors Cd274, Adora2a, and Adora3a was attenuated in vaccinated mice (log2FC -1.1, -1.0,
-1.2, p<0.001), further indicating diminished immunosuppressi ve activity of M2 -like
macrophages. The gene Lgals9, which encodes galectin -9, was significantly upregulated in
control mice compared to vaccinated mice (log 2FC -0.8, padj<0.1), indicating a higher
prevalence of pro-tumorigenic macrophages in the absence of vaccination. GSEA corroborated
these findings, identifying negative enrichment of pathways related to regulation of myeloid
cell activation in immune response (NES -2.67), macrophage cytokine production (NES -2.3)
(Supplementary table 6) and macrophage activation (NES -2.17) in the vaccinated group
(Figure 5F).
To validate these transcriptomic signatures at the protein level , we performed IHC
analysis on tumor tissue from vaccinated mice. Using CD68+ as a pan macrophage marker and
CD206+ to define the M2- like phenotype36, we observed that CaVaC OPT vaccination led to
a significant reduction of the CD206+/CD68+ ratio (p=0.024), as shown in Figure 5G. These
findings indicate that CaVaC OPT vaccination effectively shifts macrophage polarization,
reducing the proportion of M2 -like macrophages within the total macrophage population in
mice.
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FIGURE 5. CaVac OPT vaccination promotes memory T cell differentiation and reduces
M2-like pro-tumorigenic macrophage in the tumor microenvironment (TME). C57BL/6
mice bearing subcutaneous MOC-2 tumors were treated with or without CaVac OPT. On day
thirty post tumor inoculation , tumors were collected and CD45⁺ TILs were isolated for bulk
RNA sequencing. Experimental setup: mice were challenged with 2.5 x 10⁵ MOC-2 tumor cells
and vaccinated on day three and day twenty-four. Tumor volume was measured every three
days until day thirty post tumor challenge . Statistical significance is indicated as follows:
*p<0.05, ***p<0.001, ns: not significant. (A) PCA of VST bulk RNA sequencing data from
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CD45+ TILs in control and CaVac OPT vaccinated samples. Axes indicate the percentage of
variance explained by each principal component. Each dot represents one mouse. (B) Volcano
plot comparing DEGs between control (n = 4) and vaccinated (n = 4) groups. Red dots denote
significant genes (log₂FC > 0.5, adjusted p < 0.1). (C) Boxplots illustrating the differences in
central memory T cell (TCM) estimated by ImmuCellAI between control and vaccinated mice.
(D) IHC staining of Tcf1 + cells in MOC -2⁺ tumors following prime and boost vaccination.
Representative images from control and CaVac OPT -treated groups show staining for Tcf1 +
cells. Brown indicates positive staining. Scale bar = 20 μm. Dot plots show the percentage of
Tcf1⁺ cells in vaccinated mice (n = 5) compared with those in the control mice (n = 6). ( E)
Heatmap illustrating expression of macrophage-related DEGs between control and vaccinated
tumors. (F) GSEA annotation of macrophage activation gene signatures. Ridge plot and
heatmap shows gene set enriched in macrophage activation (NES -2.23) in control and
vaccinated tumors. (G) IHC staining of tumor-infiltrating T cells in MOC-2 tumors following
prime and boost vaccination. Representative images from control and CaVac OPT -treated
groups show staining for CD68⁺, CD206⁺. Brown indicates positive staining. Scale bar =
20 μm. Violin plots illustrate the ratios of CD206⁺/CD68⁺ across treatment groups. Statistical
analysis was performed using the Mann–Whitney test.
Discussion
Cancer vaccines are emerging as complementary treatments in tumors with limited responses
to ICIs37. Recent progress in genetic vaccine platforms, particularly mRNA-based
technologies, has reinvigorated interest in DNA -based vaccine approaches. We evaluated a
next-generation dbDNATM vaccine targeting the cancer-testis antigens MAGED4B and FJX1.
Although assessed here in a preclinical model of HNSCC, this vaccine is broadly applicable to
other solid tumors, as these antigens are widely expressed in other solid tumors 8,19,20. These
antigens represent highly promising targets, enabling the development of effective “off -the-
shelf” vaccines without the need for complex epitope discovery or the logistical challenges
associated with personalized vaccine production. Moreover, CaVac OPT could serve as a
bridging immunotherapy, initiating an early immune response while a personalized vaccine is
being developed, thereby potentially enhancing overall clinical benefit. Unlike conventional
plasmids, the compact size of dbDNA TM (2 kb smaller than a standard pDNA ) may enable
efficient nuclear transport, explaining why the SV40 enhancer previously shown to enhance
larger DNA constructs38,39 did not improve immunogenicity here. Electroporation is likely to
bypass the endosomal TLR9 signaling, rendering CpG motifs ineffective, while cytoplasmic
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pattern recognition receptors, such as cGAS -STING or RIG -I-like receptors , may instead
mediate innate sensing of dbDNATM16.
The vaccine constructs were individually optimized for each antigen, resulting in
distinct design sequence s informed by prior clinical efficacy data . To further refine the
dbDNATM vaccine, we focused on enhancing antigen presentation through strategic
modification to the antigenic sequence and incorporation of fusion partners that have proven
to be critical for improvement of immunogenicity. Among several fusion partner s tested, the
tetanus-derived DOM fragment and Flt3L elicited the highest T-cell responses. Unexpectedly,
certain fusion partners led to poor T -cell induction in contrast with previous published
reports30,40. Additionally, removal of the MAGE HD further exposed immunogenic
MAGED4B epitopes, suggesting that peripheral tolerance to conserved family domains may
limit T-cell induction against MAGED4B.
CaVac OPT vaccination converted cold HNSCC tumors into pro-inflammatory
microenvironment, inducing robust CD8+ and CD4+ T cell responses without an increase in
Tregs. Chemokine induction (e.g. Ccl5) and homing receptor expression (Cxcr3) likely
facilitate efficient T cell trafficking41 into the TME and exert cytotoxic effects through IFN-γ
and granzyme K, contributing to tumor cell killing and tumor volume reduction. Following
vaccination, infiltrating CD8+ T cells exhibited stem-like memory (Tcf7+ and Lef1+), a subset
associated with durable responses42 and clinical benefit from PD1 blockade43,44, potentially
explaining the synergy with anti-PD1 therapy. In parallel, the vaccine reduced the proportion
of immunosuppressive M2-like TAMs, which are abundant in HNSCC, where they contribute
to tumor progression through immunosuppressive and pro-tumorigenic effects45–47. In HNSCC,
TAMs are actively recruited to TME and establish direct contact with squamous carcinoma
cells. Notably, C-C motif chemokine ligand 18 ( CCL18) produced by M2 macrophages has
been shown to promote epithelial-mesenchymal transition ( EMT) and enhance cancer
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stemness, thereby driving metastasis 48. Thus, the ability of our vaccine to reducing M2
polarization may play a crucial role in negatively enriching EMT pathways and enhancing anti-
tumor immunity. Together, these findings position CaVac OPT as a rational approach to
overcome immune exclusion in HNSCC by simultaneously enhancing T cell priming, memory
formation and myeloid repolarization.
In conclusion, CaVac OPT has demonstrated that the dbDNATM platform represents an
immunogenic cancer vaccine capable of eliciting durable, antigen-specific T cell responses. It
effectively transforms the immunosuppressive TME through the reduction of M2-like CD206+/
CD68+ macrophages and results in significant tumor regression. Moreover, it exhibits a
synergistic effect when combined with anti -PD1 therapy, underscoring its promise as a
platform for future clinical testing.
Methods
Generation of dbDNATM vaccines
All dbDNATM vaccines were generated and subcloned into the proTLx -K STTM expression
plasmid following previously described protocol49. Cancer-tests antigens including Melanoma-
associated antigen D4 isoform 1 (MAGED4B, NP_001258991) and human four -jointed box
protein 1 (FJX1, NP_055159) were retrieved from the NCBI database. Consensus sequences
(Con) were generated by aligning these sequences using the BLOSUM62 algorithm (default
matrix) in EMBOSS (European Bioinformatics Institute; EMBOSS Cons Multiple Sequence
Alignment EMBL-EBI). Additional sequences, including human macrophage inflammatory
protein-1 alpha (huMIP-1a), and FMS-like tyrosine kinase 3 ligand (Flt3L), were obtained from
NCBI and optimized for human codon usage with GenSmartTM Codon Optimization software
(GenScript). To enhance secretion, the Mus Musculus IgH signal peptide sequence
MGWSCIIFFLVATATGVHS was incorporated at the N -terminus of each construct. The
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20
DOM fragment (TT865–1120)8 and the target antigens (MAGED4B or FJX1) were linked using
a seven-amino-acid spacer (AAAGPGP), as previously described 8. Variants of MAGED4B
with full (dHD 1) or partial homology domain deletions (dHD2) were generated via site -
directed mutagenesis. Briefly, plasmid templates contained an expression cassette flanked by
dual TelN protelomerase recognition binding sites from E. coli phage N15. Templates were
denatured with NaOH and quenched in a reaction buffer containing custom pri mer, dNTPs,
Phi29 polymerase and pyrophosphatase. The reaction mixture was incubated at 30°C for 30 or
72 h. Concatemeric DNA was cleaved by adding TelN protelomerase. followed by digestion
with 200 units/mL of a template -specific restriction enzyme (New E ngland Biolabs, Hitchin,
UK) and 200 units/mL exonuclease ExoIII (Enzymatics). The digest mixture was purified and
precipitated using polyethylene glycol (PEG) 8000.
In vivo mouse vaccination
All mouse -related procedures were approved by the Home Office under project license
PP6990832. C57BL/6J mice (6 -10 weeks old, 18 to 22 g) were obtained from Charles River
laboratories (Kent, UK) and housed in ventilated cages at the University of Liverpool animal
facility.
Tumor cell lines
Mouse oral cancer 2 (MOC -2) cells were cultured in IMDM/F12 (2:1) supplemented with 10
% foetal bovine serum (FBS; Gibco), 100 U/mL penicillin streptomycin (Gibco), 5 mg/mL
insulin (Sigma, I6634), 400 ng/mL hydrocortisone (Sigma, H0135), 5ng/mL epidermal growth
factor (EMD Milipore, 01 -107) at 37 °C, 5 % CO 2 in a humidified incubator as previously
described. To establish a homogenous MAGED4B - and FJX1- expressing cell line, MOC -2
cells were transduced with retrovirus particles generated using the pBABE-MAGED4B-FJX1-
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21
puro vector and HEK293T gag -pol packaging cells (Takara Bio, 631458). The human
MAGED4B and FJX1 sequences were cloned into pBABE -Puro vector using NotI and XhoI
restriction sites, connected via a GSGSG linker for a single in -frame transcript. Transduced
cells were selected with 4 µg/mL puromycin (Gibco ) and validated by IHC using anti -
MAGED4B (Santa Cruz, sc-393059) and anti-FJX1 (Atlas antibodies, HPA059220) antibodies
respectively. Cells were confirmed to be free of mycoplasma and rodent pathogens using PCR
analysis (Mouse/Rat CLEAR panel, Charles River) and used at low passage for in vivo studies.
In vivo immunogenicity and efficacy of dbDNATM vaccines
To evaluate antigen-specific immune responses, mice were randomly assigned to experimental
groups and vaccinated intramuscularly (i.m) in both anterior tibialis muscles using
electroporation with a custom TriGrid® pulse generator (Ichor medical systems, San Diego,
CA). Booster doses were administered 21 days after priming, optimized for eliciting T-cell
responses with DNA vaccines.
In tumor-bearing models, mice were subcutaneously (s.c) injected on day 0 with 1.6-
2.0 ×105 cells MOC -2 expressing MAGED4B-FJX1+. Between day three and seven-post
inoculation, mice were randomized to receive one of the following: a control dbGFP vector,
combined dbDNATM of Basic 0 MAGED4B and Basic 0 FJX1, or an optimized formulation
(CaVac OPT) dbDNATM dHD and Flt3L-FJX1. Dosing varied by experimental conditions, and
all groups received boosters twenty-one days post-priming. Tumors were measured every three
days, and mice were euthanized when tumor volumes exceeded 500mm 3 or if ulceration
reached humane endpoint thresholds. Tumor volume was calculated as 0.5 × (width2 x length).
Tumor specimens and splenocytes were harvested as required for downstream analysis.
Ex vivo IFN-γ ELISPOT
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Splenocytes were isolated via mechanical dissociation and Lymphocyte density gradient
(Stemcell Technologies). Cells were cultured in RPMI supplemented with FBS, P/S, 2mM L -
glutamine (Gibco), 1mM sodium pyruvate (Gibco), 2 -Mercaptoethanol (Merck) and 1x non -
essential amino acids (Gibco). IFN-γ ELISpot assays were performed per BD Biosciences
protocols using 2 × 10⁵ splenocytes/well, stimulated with no peptide (background control), 1
µM tetanus p30 (Cambridge Research Biochemistry), or overlapping peptide po ols (OPP) of
MAGED4B or FJX1 (JPT Peptide, Germany). IFN -γ secreting cells were detected using a
biotin-conjugated anti-mouse IFN-γ antibody (BD Biosciences, UK), followed by streptavidin-
ALP (Mabtech, UK) and BCIP/NBT substrate (Mabtech, UK). Spot-forming cells (SFCs) were
quantified with an automated ELISPOT reader (Aelvis GmbH) and expressed as mean SFCs
per 10⁶ cells16.
Combination therapy and T cell subset depletion
To evaluate synerg y between vaccination and immune checkpoint inhibition , tumor-bearing
mice were assigned to four groups: (1) control vaccine dbGFP, (2) 4µg CaVac OPT+ IgG2a
isotype control, (3) 4µg of CaVac OPT + anti-PD1 and (4) anti-PD1 alone. Beginning five days
post vaccination, 200 µg of anti-PD1 (Clone RMP1 -14) or IgG2a isotype control ( clone 1-1)
was administered intraperitoneally (i.p.) every three or four days in four weeks, for a total of
eight doses. For T cell depletion studies, 500 µg of anti-CD4 (clone GK1.5) or anti-CD8 (clone
YTS 169) mAbs via i.p. injection, while non-depleted controls received 500 µg of anti-IgG2b
isotype control ( clone I -1034), for a total of five doses. Depletion was validated via flow
cytometry after the fourth administration.
Tumor Dissociation and tumor infiltrating lymphocytes (TILs) Isolation
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23
Tumors were harvested and processed using the Mouse Tumor Dissociation Kit (Miltenyi
Biotec, 130 -096-730) and the gentleMACS Dissociator (Miltenyi Biotec) following the
manufacturer’s protocol. CD45 + TILs were isolated using Mouse CD45 TIL MicroBeads
(Miltenyi Biotec, 130 -110-618). Biological replicates consisted of tumors harvested from
individual mice per treatment group.
RNA Extraction and Sequencing
RNA samples were extracted from TILs using the RNeasy mini -Kit (QIAGEN). RNA purity,
concentration, and integrity were assessed using a NanoDrop spectrophotometer , Qubit 2.0
Fluorometer, and Agilent 2100 Bioanalyzer respectively. Only samples with RNA integrity
number (RIN ≥ 4) were used for sequencing. Messenger RNA (mRNA) was enriched from
total RNA using poly -T oligo attached magnetic beads (polyA selection). Libraries were
prepared, pooled, and sequenced on the Illumina NovaSeq 6000 platform (PE150 mode )
(Novogene) to a minimum depth of 6 Gb reads per sample. Raw reads were quality trimmed to
remove adapter sequences, reads containing >10% ambiguous bases (N), or low-quality bases.
Clean reads were aligned to the Mus musculus reference genome (mm39, NCBI RefSeq
GCF_000001635.27) using HISAT2 (version 2.0.5)50.
Gene expression and pathway analysis
Gene c ounts were normalized and analyzed for differential expression analysis using the
DESeq2 package (v 1.48.0) in R (v 4.5.0) statistical software51. Differentially expressed genes
(DEGs) were defined by a fold change (FC) ≥ 1.5 and an adjusted P -value (padj) < 0.1.
Principal component analysis (PCA) plot was visualized using the “ggplot2” R package (v
3.5.2)52. The clustering analysis of DEGs was carried out using the “tidyheatmaps” package (v
0.2.1) of R 53. The enrichment of pathways was identified by GSEA method using
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24
clusterProfiler (v 4.16.0) 54. Functional terms were retrieved from the Mouse Signature
Database (MSigDB) gene sets R package (v 10.0.2), including the biological process (BP),
molecular function (MF), and cellular component (CC) 55,56. Then, the analysis was performed
to identify significantly different regulatory pathways using the Kyoto Encyclopedia of Genes
and Genomes (KEGG), a major public pathway -related database. The results of GSEA were
visualised with ggplot2 and enrichplot (v 1.28.0)57.
Immune cell infiltration profiling
Immune cell composition within TIL s was inferred using ImmuCellAI-mouse
(http://bioinfo.life.hust.edu.cn/ImmuCellAI-mouse/)58. Normalized gene expression matri ces
from treatment were uploaded to predict the relative abundance of immune subsets.
Immunohistochemistry (IHC)
Tumor samples were fixed in PBS with 4% paraformaldehyde before processing into formalin-
fixed paraffin-embedded (FFPE) blocks. Sections of 3 µm were cut and processed on the Leica
Bond-RX™ automated staining platform for IHC. Following antigen retrieval and blocking
with 10% normal goat serum in PBS (Cell Signaling Technology) , tissue sections were
incubated with primary antibodies to CD8α (1:100, D4W2Z, Cell Signaling), CD4 + (1:100,
D7D2X, Cell Signaling), FoxP3+ (1:200, D6O8R, Cell Signaling), CD68+ (1:600, E3O7V, Cell
Signaling), CD206 + (1:200, E6T5J, Cell Signaling) , TCF1 /TCF7 (1:50 , C63D9, Cell
Signaling). Antigen retrieval was performed using the Bond ™ Polymer Refine Detection Kit
with either ER1 buffer (10mM sodium citrate buffer) for 20 minutes or ER2 buffer (Tris-EDTA
buffer pH 9.0) for 20 minutes (used for FoxP3 staining). Detection was carried out using an
HRP-conjugated secondary antibody, followed by DAB chromogenic staining. Sections were
counterstained with hematoxylin and mounted for microscopic analysis.
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25
Quantitative image analysis
Slides were scanned at 20× magnification using PhenoImager Fusion (v2.3.1, Akoya
Biosciences). Images were visualized and annotated using QuPath v0.5.111. For each tumor
sample, ten regions of interest (ROIs) measuring 500 µm² were selected and analyzed using
automated cell detection. Colour deconvolution was applied to separate individual stains, and
immune cell populations (CD8+, CD4+, FoxP3+, CD68+, CD206+, Tcf1/7+) were quantified
using QuPath’s positive cell detection algorithm. Quantification results were exported and
further processed in Microsoft Excel.
Statistical analysis
Statistical significance was determined using a two -tailed Mann -Whitney test (two -group
comparisons), one -way ANOVA (multi -group comparisons), or log -rank Mantel -Cox test
(survival analysis) in Prism 10.4.2 (GraphPad, CA, USA). P -values ≤ 0.05 were conside red
significant (*p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001).
Acknowledgements
The authors gratefully acknowledge the skilled technical support provided by the Biomedical
Services Unit at the University of Liverpool . We are also grateful to the team at Research
Histology at the University of Southampton for their expert assistance with
immunohistochemical staining.
Author contributions
C.W. and S.K. conducted experiments related to vaccine design and construction. G.M.Y.T.,
C.W., and M.M. performed in vivo experiments and data acquisition. G.M.Y.T. analyzed the
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26
bulkRNA-seq data. C.W., L.C. and H.H. contributed to design of vaccine candidates. G .J.T
contributed to developing methodology . K .P.L., S.C.C., contributed to conceptualization.
C.H.O. contributed to conceptualization and data interpretation. N .S. conceived the ideas,
designed the study and supervised the experiments. G.M.Y.T. , M.M. and N.S. wrote the
manuscript. Every author contributed to the significant revision of the manuscript for essential
intellectual content and gave their final approval for the version to be published.
Competing interests: N.S., C.H.O., G.J.T., S.C.C., C.W. and K.P. are the authors of the patent
covering cancer vaccine targeting MAGED4B and FJX1. N .S. received funding from
Touchlight Genetics.
Data and materials availability: Sequencing data of bulk RNA -seq were deposited at GEO
submission with the accession numbers: GSE310571
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27
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