A Comparative Analysis of Palbociclib and Ribociclib in Metastatic Hormone Receptor-Positive, HER2-Negative Breast Cancer: A Prospective mid term Follow-Up Study from an Indian Cohort

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Although clinical trials have established the efficacy of these agents globally, real-world data from India is limited. This study compares the clinical effectiveness and safety profiles of Palbociclib and Ribociclib in a cohort of Indian patients Materials and Methods: This prospective study included 60 patients with metastatic HR+/HER2- breast cancer treated at Army hospitals and research centers in India between 2020 and 2023. Progression-free survival (PFS), overall survival (OS), and safety profiles were analyzed to assess the real-world performance of Palbociclib and Ribociclib. Patients were treated with either Palbociclib or Ribociclib in combination with standard endocrine therapy. Results: Among the 60 patients, the median PFS was 39.40 months for the Palbociclib group and 42.93 months for the Ribociclib group (p = 0.26), indicating no statistically significant difference. The median OS was 41.98 months in the Palbociclib group and 45.51 months in the Ribociclib group (p = 0.15), with Ribociclib showing a slight but non-significant survival advantage. The most common adverse event was neutropenia, which occurred in 26% of patients receiving Palbociclib and 23% of patients on Ribociclib. Deranged liver function tests (LFTs) and fatigue were also reported in both groups. Conclusions: Palbociclib and Ribociclib demonstrated comparable efficacy and safety profiles in this Indian cohort. While no statistically significant differences in PFS or OS were observed, the data suggest a marginal survival benefit with Ribociclib. These findings underscore the importance of individualized treatment plans in HR+/HER2- breast cancer, taking into consideration patient-specific factors. Larger studies with longer follow-up are needed to further clarify the nuances between these two agents. CDK4/6 inhibitors HR+/HER2- breast cancer metastatic breast cancer Palbociclib Ribociclib real-world evidence Figures Figure 1 Figure 2 Introduction Breast cancer remains the most prevalent malignancy among women worldwide, contributing significantly to global cancer-related morbidity and mortality. According to the GLOBOCAN 2022 report, the incidence of breast cancer in India is approximately 27.6 per 100,000 women, and it continues to be a leading cause of cancer-related deaths among women. Approximately 10–15% of breast cancer patients present with de-novo metastatic disease at initial diagnosis, while a larger proportion develop metastases following initial early-stage diagnosis and treatment. The increasing incidence of metastatic breast cancer, particularly hormone receptor-positive (HR+), HER2-negative (HER2-) subtypes, accounts for approximately 70-80% of all cases, underscores the urgent need for optimizing therapeutic strategies. While endocrine therapy (ET) has been the mainstay of treatment for HR+ breast cancer, many patients eventually develop resistance, particularly in the metastatic setting . This has led to the development of targeted therapies, specifically Cyclin-dependent kinase 4/6 (CDK4/6) inhibitors such as Palbociclib, Ribociclib, and Abemaciclib, which have emerged as pivotal agents in overcoming endocrine resistance and improving clinical outcomes(1)(2)(3)(4). Their introduction marked a paradigm shift in managing HR+/HER2- breast cancer, particularly when combined with endocrine therapy. Clinical trials, such as the PALOMA(5)(6), MONALEESA(7)(8), and MONARCH(9) series, have demonstrated significant improvements in both progression-free survival (PFS) and overall survival (OS) with the addition of CDK4/6 inhibitors to standard endocrine therapy(10)(11)(12,13). Despite the well-established efficacy of CDK4/6 inhibitors such as palbociclib and ribociclib, their usage in India remains constrained by high costs and limited access to advanced treatment centers. These therapies, often unaffordable in public health systems, are primarily available in private hospitals, creating a disparity in access(14)(15,16)(17). Current Use and Data Gaps : CDK4/6 inhibitors are gaining traction in urban oncology centers, but comprehensive Indian data is sparse. The lack of real-world evidence complicates the application of Western trial outcomes to Indian patients. Patient Considerations : Indian metastatic breast cancer patients frequently present with more aggressive disease and comorbid conditions, raising concerns about drug interactions and toxicity profiles, potentially differing from Western populations. These include younger age at presentation, higher proportion of triple-negative and HER2-positive subtypes, delayed diagnosis, and limited access to healthcare services (16). This comparative study aims to establish critical data on the efficacy and toxicity of CDK4/6 inhibitors in Indian patients, guiding clinical decision-making and influencing policies for better drug accessibility, potentially including generics or subsidized programs. Materials and Methods Study Design and Population: This prospective, observational cohort study was conducted at a tertiary care centre of Indian Armed Forces, India between 2020 and 2023. A total of 60 patients with metastatic HR+/HER2- breast cancer were recruited between 2020–2021, and followed up till December 2023. Inclusion criteria included Patients age greater than 18 years with histopathologically proven HR positive and HER2 negative breast cancer who had clinical and/or radiological evidence of distant metastases, were included in the study. Patients with metastatic TNBC or Her2Neu or prior exposure to CDK4/6 inhibitors were excluded from the study. Patients were allocated to one of two treatment arms based on physician choice. One group received Palbociclib (125 mg/day), while the other received Ribociclib (600 mg/day), both administered for 21 days. In addition, all patients received concurrent endocrine therapy with letrozole (2.5 mg/day) End points : Primary: Progression free survival defined as the time interval in months between the date of starting CDK 4/6 inhibitor and date of first documented clinical and/or radiological disease progression. Secondary endpoints included overall survival (OS), toxicity profiles, and the impact of biomarkers, such as Ki-67, on treatment outcomes. OS was defined as the time interval in months between the date of starting CDK 4/6 inhibitor and death due to any cause. Per routine institutional practice, patients underwent laboratory tests, including blood and radiological examination. Patients underwent laboratory tests, including blood tests, and radiological tests as per routine institutional practice. This included complete blood count (CBC) and serum biochemistry prior to starting CDK 4/6 inhibitor, CBC prior to starting each subsequent cycle, ECG prior to starting ribociclib and then as clinically indicated. Radiological assessment was done with PET-CT scan prior to starting CDK 4/6 inhibitor and once every 3–6 cycles thereafter. Statistical Analysis: PFS and OS were estimated using Kaplan-Meier survival curves, and intergroup comparisons were performed using the log-rank test. A p-value < 0.05 was considered statistically significant. Cox proportional hazards models were used for multivariate analysis, adjusting for age, menopausal status, and biomarker expression. All statistical analyses were performed using SPSS version 26. Ethics Army Hospital Research and Referral Institutional Ethics Committee approval for the study was obtained. Written informed consent was obtained from all the participants, and precautions were taken to maintain confidentiality. The procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation and with the Helsinki Declaration of 1964, as revised in 2013. Results Baseline Characteristics: The cohort comprised of 60 patients, equally divided between the Palbociclib and Ribociclib groups. Notably, no significant differences in demographic or baseline characteristics were observed between the two groups (Table 1). Table 1: Baseline Characteristics Baseline Characteristics Ribociclib (n=30) Palbociclib (n=30) Mean Age: In Years 52.87 55.53 Menopausal Status Premenopausal Postmenopausal 09 21 04 26 Comorbidities None HTN HCV 27 02 01 28 02 00 Mean BMI (kg/m²) 21.19 20.58 Ki 67% (Median %) 28.2% 25% BRCA Mutation 00 00 ER Positive/PR Positive 22 26 ER Positive/ PR negative 08 04 ER Allred Score 3-6 7-8 15 15 09 21 PR Allred Score 3-6 7-8 13 09 13 13 ECOG 1 2 >=3 08 12 10 10 11 09 Sites of Metastases Bone Only Visceral I. Lung II. Liver III. Brain IV. Non-Regional nodes Both 04 22 12 11 01 03 07 15 08 06 04 05 Treatment First line Second line* 30 12 30 13 Death 08 10 * Patients who progressed on first-line CDK4/6 inhibitor plus endocrine therapy underwent further molecular profiling through next-generation sequencing (NGS), including assessment of ESR1, PIK3CA, and AKT pathway alterations. Based on the molecular findings, disease burden, and ECOG performance status, they subsequently received either targeted therapy or palliative single-agent chemotherapy HTN : Hypertension, HCV : Hepatitis C Virus, BMI: Body Mass Index Efficacy Outcomes: Progression-Free Survival (PFS): Patients in the Ribociclib arm experienced a median PFS of 42.93 months, compared to 39.40 months in the Palbociclib arm. Although not statistically significant (p = 0.26), this trend in favouring of Ribociclib is consistent with results from the MONALEESA trials, which similarly demonstrated prolonged PFS in combination with letrozole. Table 2: PFS Comparison Overall Survival (OS): The overall survival was also slightly higher in the Ribociclib group, with a median OS of 45.51 months versus 41.98 months for Palbociclib. Again, the difference did not reach statistical significance (p = 0.15), but the marginal improvement in OS supports Ribociclib’s potential benefit in prolonging life in this population Table 3: OS Comparison Safety and Toxicity: Both Palbociclib and Ribociclib were well-tolerated, with the most common adverse event being neutropenia. Grade 3/4 neutropenia occurred in 16% of patients receiving Palbociclib and 6% on Ribociclib . The toxicity grading was based on the Common Terminology Criteria for Adverse Events (CTCAE) version 5.0. Other toxicities, including deranged LFTs and fatigue, were comparable between the two groups (Table 2). Dose adjustments were required in 16% of patients in the Palbociclib cohort, compared to 3% in the Ribociclib cohort, in response to adverse events, ensuring optimal management and treatment continuity. Table 4: Adverse Events (Based on CTCAE v5.0) Adverse Event Ribociclib (n=30) Palbociclib (n=30) Neutropenia (%) Grade 1/2 Grade 3/4 23 06 26 16 Anemia (%) Grade 1/2 Grade 3/4 10 00 30 00 Thrombocytopenia (%) Grade 1/2 Grade 3/4 10 00 16 00 Deranged LFTs (%) Grade 1/2 Grade 3/4 13 00 10 00 Fatigue (%) Grade 1/2 Grade 3/4 26 00 16 00 QTc prolongation (%) Grade 1/2 Grade 3/4 03 00 00 00 Discussion The advent of CDK4/6 inhibitors has marked a pivotal advancement in the treatment of HR-positive, HER2-negative metastatic breast cancer, revolutionizing endocrine-based therapy by significantly improving progression-free survival (PFS) and overall survival (OS). Palbociclib and Ribociclib, two leading agents in this class, have shown remarkable efficacy in halting disease progression when combined with endocrine therapy( 18 ). However, while both drugs demonstrate clinical benefit, this study provides a deeper insight into their comparative real-world performance, safety profiles, and economic considerations, which have significant implications for their broader application, especially in resource-limited settings such as India. Although Palbociclib and Ribociclib share a common mechanism of CDK4/6 inhibition, they possess distinct pharmacological properties that may influence clinical decision-making. These are summarized in the following Table 5 : Table 5 Comparative Pharmacological Profile of Palbociclib and Ribociclib Feature Palbociclib Ribociclib Target Selectivity CDK4 and CDK6 CDK4 and CDK6 (slightly more selective for CDK4) Metabolism CYP3A4 CYP3A4, P-glycoprotein substrate Half-life ~ 29 hours ~ 32 hours Major Adverse Effects Higher incidence of Grade 3–4 neutropenia More hepatotoxicity; QT prolongation risk Monitoring Requirements CBC monitoring for neutropenia CBC, LFTs, ECG monitoring Dose and Schedule 125 mg daily, 21 days on/7 days off 600 mg daily, 21 days on/7 days off Food Interaction Increased bioavailability with food Can be taken with or without food These nuanced differences highlight the importance of tailoring CDK 4/6 inhibitor therapy based on individual patient profiles and potential adverse effects( 19 ). In terms of real-world efficacy, the study demonstrates comparable efficacy between Palbociclib and Ribociclib, consistent with findings from the PALOMA and MONALEESA trials. Despite a trend favoring Ribociclib in both PFS (42.93 months vs 39.40 months for Palbociclib) and OS (45.51 months versus 41.98 months for Palbociclib), these differences did not reach statistical significance. This suggests that both drugs provide substantial benefit when added to endocrine therapy in a real-world cohort, corroborating the results of large randomized trials( 20 ). The MONALEESA-7 trial, for example, demonstrated an OS benefit of Ribociclib in premenopausal women, while the PALOMA-3 trial established Palbociclib's efficacy in a more heavily pretreated population . Interestingly, while previous research has pointed to Ribociclib's superiority in certain subgroups, such as premenopausal women, our findings showed no significant demographic OS or biomarker-driven distinction in outcomes between the two groups. The comparable PFS and OS rates in both cohorts reinforce the idea that either agent may be equally efficacious in the broader population, although more extensive studies with larger sample sizes may better delineate specific populations that benefit more from one agent over the other. Safety remains a primary consideration in CDK4/6 inhibitor therapy, particularly hematological adverse events such as neutropenia. Neutropenia occurred in over 30% of patients in both treatment groups, consistent with global data. However, despite the high incidence of neutropenia, it was largely manageable with dose modifications and supportive care, reflecting the growing familiarity with CDK4/6 inhibitor-related toxicities in clinical practice. Notably, while neutropenia remains a class effect, it rarely leads to life-threatening complications when appropriately managed( 13 )( 21 )( 22 )( 23 ). A notable finding in this study is the incidence of liver function abnormalities (deranged LFTs) and fatigue, which have been increasingly recognized as significant side effects of both Palbociclib and Ribociclib. In our cohort, 12% of patients on Ribociclib and 10% on Palbociclib experienced elevated LFTs, necessitating dose reductions in some cases. Ribociclib, in particular, has been associated with a higher risk of hepatotoxicity due to its hepatic metabolism. Dose adjustments were required in 16% of patients in the Palbociclib cohort, compared to 3% in the Ribociclib cohort, in response to adverse events, ensuring optimal management and treatment continuity. Dose reductions were implemented in 5 patients on Palbociclib (typically reduced from 125 mg to 100 mg to 75 mg) and in 1 patient on Ribociclib (reduced from 600 mg to 400 mg to 200 mg) due to Grade 3–4 hematologic toxicities. This is consistent with the findings of the MONALEESA trials, which reported liver enzyme elevations more frequently in the Ribociclib arms compared to Palbociclib in the PALOMA trials. In contrast, fatigue, a common but often underestimated adverse effect, occurred in 20% of patients receiving Ribociclib and 18% of those on Palbociclib. Although generally mild, these symptoms can significantly affect quality of life, underscoring the need for proactive symptom management. Economic considerations are increasingly influential in clinical decision-making, especially in low- and middle-income countries. While Palbociclib and Ribociclib have similar price points globally, in India, Palbociclib is generally more affordable, with monthly costs ranging from ₹4000 to ₹80,000 ( $ 60 to $ 950 USD), compared to ₹75,000 to ₹1,10,000 ( $ 900 to $ 1,320 USD) for Ribociclib. Given India’s predominantly out-of-pocket healthcare model, these costs can pose substantial financial barriers. Assuming a median treatment duration of 20 months, total drug costs range from ₹80,000 to ₹16,00,000 ( $ 950– $ 19,000 USD) for Palbociclib, and ₹15,00,000 to ₹22,00,000 ( $ 17,800– $ 26,200 USD) for Ribociclib ( 14 )( 24 )( 25 )( 26 , 27 ). Although formal cost-effectiveness evaluations such as cost per quality-adjusted life year (QALY) are scarce in the Indian context, international data suggest that CDK4/6 inhibitors frequently exceed traditional cost-effectiveness thresholds in resource-limited environments. As such, treatment choices are often influenced by drug availability, patient assistance programs, and institutional procurement practices. There is an urgent need to develop localized pharmacoeconomic models, including assessments of incremental cost-effectiveness ratios (ICERs), to guide rational resource allocation and ensure equitable access to these therapies. In conclusion, the comparable efficacy and safety profiles of Palbociclib and Ribociclib support their interchangeable use in clinical practice, with the choice often dictated by patient-specific factors such as comorbidities, liver function, and economic constraints. The slightly higher risk of hepatotoxicity with Ribociclib may make Palbociclib more favorable in patients with compromised liver function, while Ribociclib’s demonstrated benefit in specific subpopulations in patients with a high-risk or aggressive disease profile. As the field moves toward personalized oncology, future research should focus on identifying robust biomarkers predictive of response to CDK4/6 inhibitors. Although our study found no significant associations with Ki-67 or PIK3CA status, larger, prospective trials are essential to refine treatment strategies and enhance therapeutic precision. Limitations The relatively small sample size, the randomisation, the selection bias, the predominance of postmenopausal patients limits generalizability, particularly regarding younger, premenopausal patients, limited access to subsequent lines of therapy due to suboptimal adherence to treatment, physician discretion or monitoring schedules in real-world settings, differences in patient profiles, loss to follow-up or late-stage presentation impacting OS with limited follow-up duration are limitations of this study, necessitating further research with larger cohorts and longer follow-up to validate these findings. Conclusions This study provides valuable real-world evidence on the comparative effectiveness and safety of Palbociclib and Ribociclib in an Indian cohort of patients with HR+/HER2- metastatic breast cancer. Both agents demonstrated comparable efficacy, with similar PFS and OS rates. Although Ribociclib exhibited a trend toward improved OS, this difference was not statistically significant. Toxicity profiles were manageable, with neutropenia and liver function abnormalities being the most commonly reported adverse events. Economic considerations remain a considerable challenge in India, where the high cost of these drugs may limit access. Therefore, ongoing research into cost-effective strategies, biomarker-driven treatments, and long-term outcomes is essential to optimize the use of CDK4/6 inhibitors in clinical practice. Abbreviations o HR : Hormone Receptor o HER2 : Human Epidermal Growth Factor Receptor 2 o PFS : Progression-Free Survival o OS : Overall Survival o CDK 4/6 : Cyclin-Dependent Kinase 4/6 o LFT : Liver Function Test o CI : Confidence Interval o HR : Hazard Ratio o SAE : Serious Adverse Event o AE : Adverse Event o QoL : Quality of Life o ECOG : Eastern Cooperative Oncology Group Declarations DECLARATION OF GENERATIVE AI AND AI-ASSISTED TECHNOLOGIES IN THE WRITING PROCESS During the preparation of this work the authors used CHAT-GPT in order to improve language and readability. After using this tool/service, the authors reviewed and edited the content as needed and take full responsibility for the publication's content. Ethics approval (include appropriate approvals or waivers) : Ethical committee approval was taken. Army Hospital Research and Referral Institutional Ethics Committee ( IEC Reg No.-11/2021) approval for the study was obtained. Written informed consent was taken from all the participants with precautions to maintain confidentiality Consent to participate : Written informed consent was obtained from the patients Consent for publication : Patients have been informed about the publication of their case details in a scientific journal for educational purposes Availability of data and materials : The datasets generated and analyzed during the current study are provided as supplementary material in the form of an MS Excel file for ease of access and reproducibility Competing Interest : None Funding : No funding was received for this research Authors' contributions : o Nihanthy D S : Conceptualization of the study; drafting the original manuscript; writing the first draft; performing revisions; and final approval of the manuscript. o Suresh Pandalanghat : Contributions to manuscript writing and editing; revision for critical intellectual content. o Amul Kapoor, Rajath Govind, Kaushik M R, Rajesh Nair, Dipen Bhuva, Anvesh Rathore, Manish Kumar, Deepak Mulajker: Supervision of all aspects; reviewing and approving the final version of the manuscript. Acknowledgement : I would like to extend my deepest gratitude to those whose contributions were invaluable to the completion of this study. First and foremost, I sincerely appreciate of the patients and their families who participated in this study. Without their cooperation and trust, this research would not have been possible. I am especially grateful to my colleagues and mentors, for their insightful guidance, constructive feedback, and unwavering support throughout the study. Their expertise played a critical role in shaping the direction and outcome of this work. References Zhao M, Hanson KA, Zhang Y, Zhou A, Cha-Silva AS. Place in Therapy of Cyclin-Dependent Kinase 4/6 Inhibitors in Breast Cancer: A Targeted Literature Review. Target Oncol. 2023 May 1;18(3):327–58. Burstein HJ, Somerfield MR, Barton DL, Dorris A, Fallowfield LJ, Jain D, et al. 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Supplementary Files FinalCDKExcel.xlsx Cite Share Download PDF Status: Published Journal Publication published 18 Aug, 2025 Read the published version in BMC Cancer → Version 1 posted Editorial decision: Accepted 05 May, 2025 Reviews received at journal 29 Apr, 2025 Reviewers agreed at journal 23 Apr, 2025 Reviewers invited by journal 21 Apr, 2025 Submission checks completed at journal 21 Apr, 2025 First submitted to journal 19 Apr, 2025 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. 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Sreenath","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA3UlEQVRIiWNgGAWjYDACZh4QeQCImIEEg4QMkVoSQFrYEkBaeIiwBq6FxwDGxQ/M2XkPfi78cSex7/yZz69u1FjwMLAfProBnxbLZr5k6RkJzxJn3sjdZp1zDOgwnrS0G/i0GBzmMZDmSTicuOEG7zbjHDagFgkeM0JajH+DtZw/88w45x9xWswgthzIYX6c20akFmuetMPGM2+kmTHn9knwsBH0y/kzxrd5bA7L9p0//Phzzrc6OX72w8fwaoEBxwYGBjYJEIuNGOUgYA/EzB+IVT0KRsEoGAUjCwAAEVZMPsLyb7EAAAAASUVORK5CYII=","orcid":"","institution":"Saroj Gupta Cancer Centre \u0026 Research Institute","correspondingAuthor":true,"prefix":"","firstName":"Nihanthy","middleName":"D","lastName":"Sreenath","suffix":""},{"id":445552728,"identity":"a95c866c-2eae-490b-bc67-7e29199c665c","order_by":1,"name":"Suresh Pandalanghat","email":"","orcid":"","institution":"Army Hospital (R\u0026R)","correspondingAuthor":false,"prefix":"","firstName":"Suresh","middleName":"","lastName":"Pandalanghat","suffix":""},{"id":445552729,"identity":"17c8fff7-b83f-4c7a-a1c6-e029a8916a28","order_by":2,"name":"Amul Kapoor","email":"","orcid":"","institution":"Army Hospital (R\u0026R)","correspondingAuthor":false,"prefix":"","firstName":"Amul","middleName":"","lastName":"Kapoor","suffix":""},{"id":445552730,"identity":"a7cae319-2f7b-4358-904f-c56ac2bdadf3","order_by":3,"name":"Rajath Govind","email":"","orcid":"","institution":"Army Hospital (R\u0026R)","correspondingAuthor":false,"prefix":"","firstName":"Rajath","middleName":"","lastName":"Govind","suffix":""},{"id":445552731,"identity":"2b6cedcb-23f1-44bd-ba49-4fb82ee11c68","order_by":4,"name":"M R Kaushik","email":"","orcid":"","institution":"INHS Asvini","correspondingAuthor":false,"prefix":"","firstName":"M","middleName":"R","lastName":"Kaushik","suffix":""},{"id":445552732,"identity":"1f53b95f-e8e7-4d5a-a9b6-1538a3ab4223","order_by":5,"name":"Rajesh Nair","email":"","orcid":"","institution":"Command Hospital (Central Command)","correspondingAuthor":false,"prefix":"","firstName":"Rajesh","middleName":"","lastName":"Nair","suffix":""},{"id":445552733,"identity":"656ae250-ef89-4967-9cda-3f9f3c1c73ba","order_by":6,"name":"Dipen Bhuva","email":"","orcid":"","institution":"Army Hospital (R\u0026R)","correspondingAuthor":false,"prefix":"","firstName":"Dipen","middleName":"","lastName":"Bhuva","suffix":""},{"id":445552734,"identity":"567e6fd9-b69a-4839-8828-4c2586908cca","order_by":7,"name":"Anvesh Rathore","email":"","orcid":"","institution":"Army Hospital (R\u0026R)","correspondingAuthor":false,"prefix":"","firstName":"Anvesh","middleName":"","lastName":"Rathore","suffix":""},{"id":445552735,"identity":"f441eabf-8c15-49f4-b480-b61b750df28d","order_by":8,"name":"Manish Kumar","email":"","orcid":"","institution":"Army Hospital (R\u0026R)","correspondingAuthor":false,"prefix":"","firstName":"Manish","middleName":"","lastName":"Kumar","suffix":""},{"id":445552736,"identity":"2bb038d1-4525-4ef9-b58a-49af187a4cc7","order_by":9,"name":"Deepak Mulajker","email":"","orcid":"","institution":"Army Hospital (R\u0026R)","correspondingAuthor":false,"prefix":"","firstName":"Deepak","middleName":"","lastName":"Mulajker","suffix":""}],"badges":[],"createdAt":"2024-12-17 04:38:22","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5658222/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5658222/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s12885-025-14270-1","type":"published","date":"2025-08-18T16:29:31+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":81508792,"identity":"5f4872c7-275e-454f-bc90-63288d5847f4","added_by":"auto","created_at":"2025-04-28 05:40:07","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":102577,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eKaplan Meier curve for Progression free survival\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-5658222/v1/983e1da61794f2e4e877d50d.png"},{"id":81508790,"identity":"c28da7ba-0f1e-429a-9d4f-a52ebef54889","added_by":"auto","created_at":"2025-04-28 05:40:07","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":97617,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eKaplan Meier curve for Overall survival\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-5658222/v1/e843d8bd594729d9c5a555b8.png"},{"id":89847317,"identity":"1d9795f0-4710-4d03-a7db-ca4606a2ed68","added_by":"auto","created_at":"2025-08-25 16:43:10","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1579596,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5658222/v1/6009b3a4-d5c5-4f0b-a37b-d612a499a9d2.pdf"},{"id":81510653,"identity":"95b8359d-19f4-4a12-a0af-a7ad411ef488","added_by":"auto","created_at":"2025-04-28 06:05:32","extension":"xlsx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":17087,"visible":true,"origin":"","legend":"","description":"","filename":"FinalCDKExcel.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-5658222/v1/4202cd2cc293fd018c479c87.xlsx"}],"financialInterests":"No competing interests reported.","formattedTitle":"A Comparative Analysis of Palbociclib and Ribociclib in Metastatic Hormone Receptor-Positive, HER2-Negative Breast Cancer: A Prospective mid term Follow-Up Study from an Indian Cohort","fulltext":[{"header":"Introduction","content":"\u003cp\u003eBreast cancer remains the most prevalent malignancy among women worldwide, contributing significantly to global cancer-related morbidity and mortality. According to the GLOBOCAN 2022 report, the incidence of breast cancer in India is approximately 27.6 per 100,000 women, and it continues to be a leading cause of cancer-related deaths among women. Approximately 10\u0026ndash;15% of breast cancer patients present with de-novo metastatic disease at initial diagnosis, while a larger proportion develop metastases following initial early-stage diagnosis and treatment. The increasing incidence of metastatic breast cancer, particularly hormone receptor-positive (HR+), HER2-negative (HER2-) subtypes, accounts for approximately 70-80% of all cases, underscores the urgent need for optimizing therapeutic strategies.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eWhile endocrine therapy (ET) has been the mainstay of treatment for HR+ breast cancer, many patients eventually develop resistance, particularly in the metastatic setting . This has led to the development of targeted therapies, specifically Cyclin-dependent kinase 4/6 (CDK4/6) inhibitors such as Palbociclib, Ribociclib, and Abemaciclib, which have emerged as pivotal agents in overcoming endocrine resistance and improving clinical outcomes(1)(2)(3)(4).\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;Their introduction marked a paradigm shift in managing HR+/HER2- breast cancer, particularly when combined with endocrine therapy. Clinical trials, such as the PALOMA(5)(6), MONALEESA(7)(8), and MONARCH(9) series, have demonstrated significant improvements in both progression-free survival (PFS) and overall survival (OS) with the addition of CDK4/6 inhibitors to standard endocrine therapy(10)(11)(12,13).\u003c/p\u003e\n\u003cp\u003eDespite the well-established efficacy of CDK4/6 inhibitors such as palbociclib and ribociclib, their usage in India remains constrained by high costs and limited access to advanced treatment centers. These therapies, often unaffordable in public health systems, are primarily available in private hospitals, creating a disparity in access(14)(15,16)(17).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCurrent Use and Data Gaps\u003c/strong\u003e:\u003cbr\u003e\u0026nbsp;CDK4/6 inhibitors are gaining traction in urban oncology centers, but comprehensive Indian data is sparse. The lack of real-world evidence complicates the application of Western trial outcomes to Indian patients.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePatient Considerations\u003c/strong\u003e:\u003cbr\u003eIndian metastatic breast cancer patients frequently present with more aggressive disease and comorbid conditions, raising concerns about drug interactions and toxicity profiles, potentially differing from Western populations. These include younger age at presentation, higher proportion of triple-negative and HER2-positive subtypes, delayed diagnosis, and limited access to healthcare services (16).\u003c/p\u003e\n\u003cp\u003eThis comparative study aims to establish critical data on the efficacy and toxicity of CDK4/6 inhibitors in Indian patients, guiding clinical decision-making and influencing policies for better drug accessibility, potentially including generics or subsidized programs.\u003c/p\u003e"},{"header":"Materials and Methods","content":"\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eStudy Design and Population:\u003c/h2\u003e \u003cp\u003eThis prospective, observational cohort study was conducted at a tertiary care centre of Indian Armed Forces, India between 2020 and 2023. A total of 60 patients with metastatic HR+/HER2- breast cancer were recruited between 2020\u0026ndash;2021, and followed up till December 2023. Inclusion criteria included Patients age greater than 18 years with histopathologically proven HR positive and HER2 negative breast cancer who had clinical and/or radiological evidence of distant metastases, were included in the study. Patients with metastatic TNBC or Her2Neu or prior exposure to CDK4/6 inhibitors were excluded from the study.\u003c/p\u003e \u003cp\u003ePatients were allocated to one of two treatment arms based on physician choice. One group received Palbociclib (125 mg/day), while the other received Ribociclib (600 mg/day), both administered for 21 days. In addition, all patients received concurrent endocrine therapy with letrozole (2.5 mg/day)\u003c/p\u003e \u003cp\u003e \u003cb\u003eEnd points\u003c/b\u003e: Primary: Progression free survival defined as the time interval in months between the date of starting CDK 4/6 inhibitor and date of first documented clinical and/or radiological disease progression. Secondary endpoints included overall survival (OS), toxicity profiles, and the impact of biomarkers, such as Ki-67, on treatment outcomes. OS was defined as the time interval in months between the date of starting CDK 4/6 inhibitor and death due to any cause.\u003c/p\u003e \u003cp\u003ePer routine institutional practice, patients underwent laboratory tests, including blood and radiological examination. Patients underwent laboratory tests, including blood tests, and radiological tests as per routine institutional practice. This included complete blood count (CBC) and serum biochemistry prior to starting CDK 4/6 inhibitor, CBC prior to starting each subsequent cycle, ECG prior to starting ribociclib and then as clinically indicated. Radiological assessment was done with PET-CT scan prior to starting CDK 4/6 inhibitor and once every 3\u0026ndash;6 cycles thereafter.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003eStatistical Analysis:\u003c/h2\u003e \u003cp\u003ePFS and OS were estimated using Kaplan-Meier survival curves, and intergroup comparisons were performed using the log-rank test. A p-value\u0026thinsp;\u0026lt;\u0026thinsp;0.05 was considered statistically significant. Cox proportional hazards models were used for multivariate analysis, adjusting for age, menopausal status, and biomarker expression. All statistical analyses were performed using SPSS version 26.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eEthics\u003c/strong\u003e \u003cp\u003e Army Hospital Research and Referral Institutional Ethics Committee approval for the study was obtained. Written informed consent was obtained from all the participants, and precautions were taken to maintain confidentiality. The procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation and with the Helsinki Declaration of 1964, as revised in 2013.\u003c/p\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003eBaseline Characteristics:\u003c/strong\u003e\u003cbr\u003e\u0026nbsp;The cohort comprised of 60 patients, equally divided between the Palbociclib and Ribociclib groups. Notably, no significant differences in demographic or baseline characteristics were observed between the two groups (Table 1).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1: Baseline Characteristics\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBaseline Characteristics\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eRibociclib (n=30)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePalbociclib (n=30)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003eMean Age: In Years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e52.87\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e55.53\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003eMenopausal Status\u003c/p\u003e\n \u003cp\u003ePremenopausal\u003c/p\u003e\n \u003cp\u003ePostmenopausal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e09\u003c/p\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e04\u003c/p\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eComorbidities\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eNone\u003c/p\u003e\n \u003cp\u003eHTN\u003c/p\u003e\n \u003cp\u003eHCV\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e27\u003c/p\u003e\n \u003cp\u003e02\u003c/p\u003e\n \u003cp\u003e01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e28\u003c/p\u003e\n \u003cp\u003e02\u003c/p\u003e\n \u003cp\u003e00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003eMean BMI (kg/m\u0026sup2;)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e21.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e20.58\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003eKi 67% (Median %)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e28.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e25%\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003eBRCA Mutation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e00\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003eER Positive/PR Positive\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003eER Positive/ PR negative\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e04\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003eER Allred Score\u003c/p\u003e\n \u003cp\u003e3-6\u003c/p\u003e\n \u003cp\u003e7-8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e09\u003c/p\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003ePR Allred Score\u003c/p\u003e\n \u003cp\u003e3-6\u003c/p\u003e\n \u003cp\u003e7-8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003cp\u003e09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003eECOG\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e\u0026gt;=3\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e08\u003c/p\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e09\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003eSites of Metastases\u003c/p\u003e\n \u003cp\u003eBone Only\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eVisceral\u003c/p\u003e\n \u003cp\u003eI. \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Lung\u003c/p\u003e\n \u003cp\u003eII. \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Liver\u003c/p\u003e\n \u003cp\u003eIII. \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Brain\u003c/p\u003e\n \u003cp\u003eIV. \u0026nbsp; \u0026nbsp; \u0026nbsp; Non-Regional nodes\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eBoth\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e04\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e01\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e07\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003cp\u003e08\u003c/p\u003e\n \u003cp\u003e06\u003c/p\u003e\n \u003cp\u003e04\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003eTreatment\u003c/p\u003e\n \u003cp\u003eFirst line\u003c/p\u003e\n \u003cp\u003eSecond line*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003eDeath\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 33.3333%;\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e* Patients who progressed on first-line CDK4/6 inhibitor plus endocrine therapy underwent further molecular profiling through next-generation sequencing (NGS), including assessment of ESR1, PIK3CA, and AKT pathway alterations. Based on the molecular findings, disease burden, and ECOG performance status, they subsequently received either targeted therapy or palliative single-agent chemotherapy\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eHTN\u003c/strong\u003e: Hypertension,\u0026nbsp;\u003cstrong\u003eHCV\u003c/strong\u003e: Hepatitis C Virus, \u003cstrong\u003eBMI:\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eBody Mass Index\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEfficacy Outcomes:\u003c/strong\u003e\u003cbr\u003e\u003cstrong\u003eProgression-Free Survival (PFS):\u003c/strong\u003e\u003cbr\u003e\u0026nbsp;Patients in the Ribociclib arm experienced a median PFS of 42.93 months, compared to 39.40 months in the Palbociclib arm. Although not statistically significant (p = 0.26), this trend in favouring of Ribociclib is consistent with results from the MONALEESA trials, which similarly demonstrated prolonged PFS in combination with letrozole.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cstrong\u003eTable 2: PFS Comparison\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cimg src=\"data:image/png;base64,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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eOverall Survival (OS):\u003c/strong\u003eThe overall survival was also slightly higher in the Ribociclib group, with a median OS of 45.51 months versus 41.98 months for Palbociclib. Again, the difference did not reach statistical significance (p = 0.15), but the marginal improvement in OS supports Ribociclib\u0026rsquo;s potential benefit in prolonging life in this population\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3: OS Comparison\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg 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\"\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cstrong\u003eSafety and Toxicity:\u003c/strong\u003e\u003cbr\u003eBoth Palbociclib and Ribociclib were well-tolerated, with the most common adverse event being neutropenia. Grade 3/4 neutropenia occurred in 16% of patients receiving Palbociclib and 6% on Ribociclib . The toxicity grading was based on the Common Terminology Criteria for Adverse Events (CTCAE) version 5.0. Other toxicities, including deranged LFTs and fatigue, were comparable between the two groups (Table 2). Dose adjustments were required in 16% of patients in the Palbociclib cohort, compared to 3% in the Ribociclib cohort, in response to adverse events, ensuring optimal management and treatment continuity.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cstrong\u003eTable 4: Adverse Events (Based on CTCAE v5.0)\u003c/strong\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAdverse Event\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eRibociclib (n=30)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePalbociclib (n=30)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eNeutropenia (%)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Grade 1/2\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Grade 3/4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003cp\u003e06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eAnemia (%)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Grade 1/2\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Grade 3/4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003cp\u003e00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003cp\u003e00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eThrombocytopenia (%)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Grade 1/2\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Grade 3/4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003cp\u003e00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003cp\u003e00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eDeranged LFTs (%)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Grade 1/2\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Grade 3/4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003cp\u003e00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003cp\u003e00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eFatigue (%)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Grade 1/2\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Grade 3/4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003cp\u003e00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003cp\u003e00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eQTc prolongation (%)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Grade 1/2\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;Grade 3/4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e03\u003c/p\u003e\n \u003cp\u003e00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e00\u003c/p\u003e\n \u003cp\u003e00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cbr\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe advent of CDK4/6 inhibitors has marked a pivotal advancement in the treatment of HR-positive, HER2-negative metastatic breast cancer, revolutionizing endocrine-based therapy by significantly improving progression-free survival (PFS) and overall survival (OS). Palbociclib and Ribociclib, two leading agents in this class, have shown remarkable efficacy in halting disease progression when combined with endocrine therapy(\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e). However, while both drugs demonstrate clinical benefit, this study provides a deeper insight into their comparative real-world performance, safety profiles, and economic considerations, which have significant implications for their broader application, especially in resource-limited settings such as India.\u003c/p\u003e \u003cp\u003eAlthough Palbociclib and Ribociclib share a common mechanism of CDK4/6 inhibition, they possess distinct pharmacological properties that may influence clinical decision-making. These are summarized in the following Table \u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e:\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eComparative Pharmacological Profile of Palbociclib and Ribociclib\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\u003eFeature\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePalbociclib\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eRibociclib\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTarget Selectivity\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCDK4 and CDK6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCDK4 and CDK6 (slightly more selective for CDK4)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMetabolism\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCYP3A4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCYP3A4, P-glycoprotein substrate\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHalf-life\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e~\u0026thinsp;29 hours\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e~\u0026thinsp;32 hours\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMajor Adverse Effects\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eHigher incidence of Grade 3\u0026ndash;4 neutropenia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMore hepatotoxicity; QT prolongation risk\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMonitoring Requirements\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCBC monitoring for neutropenia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCBC, LFTs, ECG monitoring\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDose and Schedule\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e125 mg daily, 21 days on/7 days off\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e600 mg daily, 21 days on/7 days off\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFood Interaction\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eIncreased bioavailability with food\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCan be taken with or without food\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\u003eThese nuanced differences highlight the importance of tailoring CDK 4/6 inhibitor therapy based on individual patient profiles and potential adverse effects(\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIn terms of real-world efficacy, the study demonstrates comparable efficacy between Palbociclib and Ribociclib, consistent with findings from the PALOMA and MONALEESA trials. Despite a trend favoring Ribociclib in both PFS (42.93 months vs 39.40 months for Palbociclib) and OS (45.51 months versus 41.98 months for Palbociclib), these differences did not reach statistical significance. This suggests that both drugs provide substantial benefit when added to endocrine therapy in a real-world cohort, corroborating the results of large randomized trials(\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e). The MONALEESA-7 trial, for example, demonstrated an OS benefit of Ribociclib in premenopausal women, while the PALOMA-3 trial established Palbociclib's efficacy in a more heavily pretreated population .\u003c/p\u003e \u003cp\u003eInterestingly, while previous research has pointed to Ribociclib's superiority in certain subgroups, such as premenopausal women, our findings showed no significant demographic OS or biomarker-driven distinction in outcomes between the two groups. The comparable PFS and OS rates in both cohorts reinforce the idea that either agent may be equally efficacious in the broader population, although more extensive studies with larger sample sizes may better delineate specific populations that benefit more from one agent over the other.\u003c/p\u003e \u003cp\u003eSafety remains a primary consideration in CDK4/6 inhibitor therapy, particularly hematological adverse events such as neutropenia. Neutropenia occurred in over 30% of patients in both treatment groups, consistent with global data. However, despite the high incidence of neutropenia, it was largely manageable with dose modifications and supportive care, reflecting the growing familiarity with CDK4/6 inhibitor-related toxicities in clinical practice. Notably, while neutropenia remains a class effect, it rarely leads to life-threatening complications when appropriately managed(\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e)(\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).\u003c/p\u003e \u003cp\u003eA notable finding in this study is the incidence of liver function abnormalities (deranged LFTs) and fatigue, which have been increasingly recognized as significant side effects of both Palbociclib and Ribociclib. In our cohort, 12% of patients on Ribociclib and 10% on Palbociclib experienced elevated LFTs, necessitating dose reductions in some cases. Ribociclib, in particular, has been associated with a higher risk of hepatotoxicity due to its hepatic metabolism. Dose adjustments were required in 16% of patients in the Palbociclib cohort, compared to 3% in the Ribociclib cohort, in response to adverse events, ensuring optimal management and treatment continuity. Dose reductions were implemented in 5 patients on Palbociclib (typically reduced from 125 mg to 100 mg to 75 mg) and in 1 patient on Ribociclib (reduced from 600 mg to 400 mg to 200 mg) due to Grade 3\u0026ndash;4 hematologic toxicities.\u003c/p\u003e \u003cp\u003eThis is consistent with the findings of the MONALEESA trials, which reported liver enzyme elevations more frequently in the Ribociclib arms compared to Palbociclib in the PALOMA trials. In contrast, fatigue, a common but often underestimated adverse effect, occurred in 20% of patients receiving Ribociclib and 18% of those on Palbociclib. Although generally mild, these symptoms can significantly affect quality of life, underscoring the need for proactive symptom management.\u003c/p\u003e \u003cp\u003eEconomic considerations are increasingly influential in clinical decision-making, especially in low- and middle-income countries. While Palbociclib and Ribociclib have similar price points globally, in India, Palbociclib is generally more affordable, with monthly costs ranging from ₹4000 to ₹80,000 (\u003cspan\u003e$\u003c/span\u003e60 to \u003cspan\u003e$\u003c/span\u003e950 USD), compared to ₹75,000 to ₹1,10,000 (\u003cspan\u003e$\u003c/span\u003e900 to \u003cspan\u003e$\u003c/span\u003e1,320 USD) for Ribociclib. Given India\u0026rsquo;s predominantly out-of-pocket healthcare model, these costs can pose substantial financial barriers. Assuming a median treatment duration of 20 months, total drug costs range from ₹80,000 to ₹16,00,000 (\u003cspan\u003e$\u003c/span\u003e950\u0026ndash;\u003cspan\u003e$\u003c/span\u003e19,000 USD) for Palbociclib, and ₹15,00,000 to ₹22,00,000 (\u003cspan\u003e$\u003c/span\u003e17,800\u0026ndash;\u003cspan\u003e$\u003c/span\u003e26,200 USD) for Ribociclib (\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e)(\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e)(\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e)(\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eAlthough formal cost-effectiveness evaluations such as cost per quality-adjusted life year (QALY) are scarce in the Indian context, international data suggest that CDK4/6 inhibitors frequently exceed traditional cost-effectiveness thresholds in resource-limited environments. As such, treatment choices are often influenced by drug availability, patient assistance programs, and institutional procurement practices. There is an urgent need to develop localized pharmacoeconomic models, including assessments of incremental cost-effectiveness ratios (ICERs), to guide rational resource allocation and ensure equitable access to these therapies.\u003c/p\u003e \u003cp\u003eIn conclusion, the comparable efficacy and safety profiles of Palbociclib and Ribociclib support their interchangeable use in clinical practice, with the choice often dictated by patient-specific factors such as comorbidities, liver function, and economic constraints. The slightly higher risk of hepatotoxicity with Ribociclib may make Palbociclib more favorable in patients with compromised liver function, while Ribociclib\u0026rsquo;s demonstrated benefit in specific subpopulations in patients with a high-risk or aggressive disease profile.\u003c/p\u003e \u003cp\u003eAs the field moves toward personalized oncology, future research should focus on identifying robust biomarkers predictive of response to CDK4/6 inhibitors. Although our study found no significant associations with Ki-67 or PIK3CA status, larger, prospective trials are essential to refine treatment strategies and enhance therapeutic precision.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eLimitations\u003c/strong\u003e \u003cp\u003eThe relatively small sample size, the randomisation, the selection bias, the predominance of postmenopausal patients limits generalizability, particularly regarding younger, premenopausal patients, limited access to subsequent lines of therapy due to suboptimal adherence to treatment, physician discretion or monitoring schedules in real-world settings, differences in patient profiles, loss to follow-up or late-stage presentation impacting OS with limited follow-up duration are limitations of this study, necessitating further research with larger cohorts and longer follow-up to validate these findings.\u003c/p\u003e \u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eThis study provides valuable real-world evidence on the comparative effectiveness and safety of Palbociclib and Ribociclib in an Indian cohort of patients with HR+/HER2- metastatic breast cancer. Both agents demonstrated comparable efficacy, with similar PFS and OS rates. Although Ribociclib exhibited a trend toward improved OS, this difference was not statistically significant. Toxicity profiles were manageable, with neutropenia and liver function abnormalities being the most commonly reported adverse events. Economic considerations remain a considerable challenge in India, where the high cost of these drugs may limit access. Therefore, ongoing research into cost-effective strategies, biomarker-driven treatments, and long-term outcomes is essential to optimize the use of CDK4/6 inhibitors in clinical practice.\u003c/p\u003e"},{"header":"Abbreviations","content":"\n\u003cp\u003eo \u003cstrong\u003eHR\u003c/strong\u003e: Hormone Receptor\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eo \u003cstrong\u003eHER2\u003c/strong\u003e: Human Epidermal Growth Factor Receptor 2\u003c/p\u003e\n\u003cp\u003eo \u003cstrong\u003ePFS\u003c/strong\u003e: Progression-Free Survival\u003c/p\u003e\n\u003cp\u003eo \u003cstrong\u003eOS\u003c/strong\u003e: Overall Survival\u003c/p\u003e\n\u003cp\u003eo \u003cstrong\u003eCDK 4/6\u003c/strong\u003e: Cyclin-Dependent Kinase 4/6\u003c/p\u003e\n\u003cp\u003eo \u003cstrong\u003eLFT\u003c/strong\u003e: Liver Function Test\u003c/p\u003e\n\u003cp\u003eo \u003cstrong\u003eCI\u003c/strong\u003e: Confidence Interval\u003c/p\u003e\n\u003cp\u003eo \u003cstrong\u003eHR\u003c/strong\u003e: Hazard Ratio\u003c/p\u003e\n\u003cp\u003eo \u003cstrong\u003eSAE\u003c/strong\u003e: Serious Adverse Event\u003c/p\u003e\n\u003cp\u003eo \u003cstrong\u003eAE\u003c/strong\u003e: Adverse Event\u003c/p\u003e\n\u003cp\u003eo \u003cstrong\u003eQoL\u003c/strong\u003e: Quality of Life\u003c/p\u003e\n\u003cp\u003eo \u003cstrong\u003eECOG\u003c/strong\u003e: Eastern Cooperative Oncology Group\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eDECLARATION OF GENERATIVE AI AND AI-ASSISTED TECHNOLOGIES IN THE WRITING PROCESS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eDuring the preparation of this work the authors used CHAT-GPT in order to improve language and readability. After using this tool/service, the authors reviewed and edited the content as needed and take full responsibility for the publication's content.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval\u0026nbsp;(include appropriate approvals or waivers)\u003c/strong\u003e: Ethical committee approval was taken. Army Hospital Research and Referral Institutional Ethics Committee (\u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;IEC Reg No.-11/2021) approval for the study was obtained. Written informed consent was taken from all the participants with precautions to maintain confidentiality\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent to participate\u003c/strong\u003e: Written informed consent was obtained from the patients\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e: Patients have been informed about the publication of their case details in a scientific journal for educational purposes\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e: The datasets generated and analyzed during the current study are provided as supplementary material in the form of an MS Excel file for ease of access and reproducibility\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting Interest\u003c/strong\u003e: None\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e: No funding was received for this research\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors' contributions\u003c/strong\u003e:\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eo \u003cstrong\u003eNihanthy D S\u003c/strong\u003e: Conceptualization of the study; drafting the original manuscript; writing the first draft; performing revisions; and final approval of the manuscript.\u003c/p\u003e\n\u003cp\u003eo \u003cstrong\u003eSuresh Pandalanghat\u003c/strong\u003e: Contributions to manuscript writing and editing; revision for critical intellectual content.\u003c/p\u003e\n\u003cp\u003eo \u003cstrong\u003eAmul Kapoor, Rajath Govind, Kaushik M R, Rajesh Nair, Dipen Bhuva, Anvesh Rathore, Manish Kumar, Deepak Mulajker:\u0026nbsp;\u003c/strong\u003eSupervision of all aspects; reviewing and approving the final version of the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgement\u003c/strong\u003e: I would like to extend my deepest gratitude to those whose contributions were invaluable to the completion of this study. First and foremost, I sincerely appreciate of the patients and their families who participated in this study. Without their cooperation and trust, this research would not have been possible. I am especially grateful to my colleagues and mentors, for their insightful guidance, constructive feedback, and unwavering support throughout the study. Their expertise played a critical role in shaping the direction and outcome of this work.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eZhao M, Hanson KA, Zhang Y, Zhou A, Cha-Silva AS. Place in Therapy of Cyclin-Dependent Kinase 4/6 Inhibitors in Breast Cancer: A Targeted Literature Review. Target Oncol. 2023 May 1;18(3):327\u0026ndash;58.\u003c/li\u003e\n \u003cli\u003eBurstein HJ, Somerfield MR, Barton DL, Dorris A, Fallowfield LJ, Jain D, et al. Endocrine Treatment and Targeted Therapy for Hormone Receptor\u0026ndash;Positive, Human Epidermal Growth Factor Receptor 2\u0026ndash;Negative Metastatic Breast Cancer: ASCO Guideline Update. J Clin Oncol. 2021 Dec 10;39(35):3959\u0026ndash;77.\u003c/li\u003e\n \u003cli\u003ePiezzo M, Cocco S, Caputo R, Cianniello D, Gioia GD, Lauro VD, et al. Targeting Cell Cycle in Breast Cancer: CDK4/6 Inhibitors. Int J Mol Sci. 2020 Sep 4;21(18):6479.\u003c/li\u003e\n \u003cli\u003eGoel S, DeCristo MJ, McAllister SS, Zhao JJ. CDK4/6 inhibition in cancer: beyond cell cycle arrest. Trends Cell Biol. 2018 Nov;28(11):911\u0026ndash;25.\u003c/li\u003e\n \u003cli\u003eTurner NC, Ro J, Andr\u0026eacute; F, Loi S, Verma S, Iwata H, et al. Palbociclib in Hormone-Receptor-Positive Advanced Breast Cancer. N Engl J Med. 2015 Jul 16;373(3):209\u0026ndash;19.\u003c/li\u003e\n \u003cli\u003eFinn RS, Martin M, Rugo HS, Jones S, Im SA, Gelmon K, et al. Palbociclib and Letrozole in Advanced Breast Cancer. N Engl J Med. 2016 Nov 17;375(20):1925\u0026ndash;36.\u003c/li\u003e\n \u003cli\u003eSlamon DJ, Neven P, Chia S, Jerusalem G, De Laurentiis M, Im S, et al. Ribociclib plus fulvestrant for postmenopausal women with hormone receptor-positive, human epidermal growth factor receptor 2-negative advanced breast cancer in the phase III randomized MONALEESA-3 trial: updated overall survival. Ann Oncol Off J Eur Soc Med Oncol. 2021 Aug;32(8):1015\u0026ndash;24.\u003c/li\u003e\n \u003cli\u003eHortobagyi GN, Stemmer SM, Burris HA, Yap YS, Sonke GS, Paluch-Shimon S, et al. Ribociclib as First-Line Therapy for HR-Positive, Advanced Breast Cancer. N Engl J Med. 2016 Nov 3;375(18):1738\u0026ndash;48.\u003c/li\u003e\n \u003cli\u003eJohnston SRD, Harbeck N, Hegg R, Toi M, Martin M, Shao ZM, et al. Abemaciclib Combined With Endocrine Therapy for the Adjuvant Treatment of HR+, HER2-, Node-Positive, High-Risk, Early Breast Cancer (monarchE). J Clin Oncol Off J Am Soc Clin Oncol. 2020 Dec 1;38(34):3987\u0026ndash;98.\u003c/li\u003e\n \u003cli\u003eCejuela M, Gil-Torralvo A, Castilla M\u0026Aacute;, Dom\u0026iacute;nguez-Cejudo M\u0026Aacute;, Falc\u0026oacute;n A, Benavent M, et al. Abemaciclib, Palbociclib, and Ribociclib in Real-World Data: A Direct Comparison of First-Line Treatment for Endocrine-Receptor-Positive Metastatic Breast Cancer. Int J Mol Sci. 2023 May 9;24(10):8488.\u003c/li\u003e\n \u003cli\u003eChristiansen EA, K\u0026uuml;mler I. Real-world effectiveness of palbociclib in HR+/HER2- metastatic breast cancer: a literature review. Future Sci OA. 10(1):2340329.\u003c/li\u003e\n \u003cli\u003ePetrelli F, Ghidini A, Pedersini R, Cabiddu M, Borgonovo K, Parati MC, et al. Comparative efficacy of palbociclib, ribociclib and abemaciclib for ER+ metastatic breast cancer: an adjusted indirect analysis of randomized controlled trials. Breast Cancer Res Treat. 2019 Apr;174(3):597\u0026ndash;604.\u003c/li\u003e\n \u003cli\u003eTong F, Lu Y, Ma HF, Shen J. Comparative efficacy and safety of CDK4/6 inhibitors combined with endocrine therapies for HR+/HER2-breast cancer: Systematic review and network meta-analysis. Heliyon. 2024 May 21;10(11):e31583.\u003c/li\u003e\n \u003cli\u003eRath S, Elamarthi P, Parab P, Gulia S, Nandhana R, Mokal S, et al. Efficacy and safety of palbociclib and ribociclib in patients with estrogen and/or progesterone receptor positive, HER2 receptor negative metastatic breast cancer in routine clinical practice. PLoS ONE. 2021 Jul 22;16(7):e0253722.\u003c/li\u003e\n \u003cli\u003eGanguly S, Mukherjee N, Mandal S, Roy S, Agarwal S, Biswas B, et al. Efficacy of cyclin-dependent kinase 4/6 inhibitors in patients with metastatic hormone positive breast cancer: a single institutional study from India [Internet]. 2022 [cited 2024 Oct 2]. Available from: http://ecancer.org/en/journal/article/1450-efficacy-of-cyclin-dependent-kinase-4-6-inhibitors-in-patients-with-metastatic-hormone-positive-breast-cancer-a-single-institutional-study-from-india\u003c/li\u003e\n \u003cli\u003eGogia A, Arora S, Choudhary P, Kumar R, Thulkar S, Sharma D, et al. Real-world Indian scenario of CDK4/6 inhibitors (palbociclib and ribociclib) with endocrine therapy in upfront hormone positive metastatic breast cancer. J Clin Oncol. 2021 May 20;39:e13028\u0026ndash;e13028.\u003c/li\u003e\n \u003cli\u003eDas Majumdar SK, Barik SK, Pattanaik A, Das DK, Parida DK. Role of Cyclin-Dependent Kinase 4/6 in Metastatic Breast Cancer: Real-World Data From a Tertiary Care Institute in Eastern India. Cureus [Internet]. 2024 Jan 12 [cited 2024 Oct 2]; Available from: https://www.cureus.com/articles/151412-role-of-cyclin-dependent-kinase-46-in-metastatic-breast-cancer-real-world-data-from-a-tertiary-care-institute-in-eastern-india\u003c/li\u003e\n \u003cli\u003eRugo HS, Rumble RB, Macrae E, Barton DL, Connolly HK, Dickler MN, et al. Endocrine Therapy for Hormone Receptor-Positive Metastatic Breast Cancer: American Society of Clinical Oncology Guideline. J Clin Oncol Off J Am Soc Clin Oncol. 2016 Sep 1;34(25):3069\u0026ndash;103.\u003c/li\u003e\n \u003cli\u003eGeorge M, Qureshi S, Omene C, Toppmeyer D, Ganesan S. Clinical and Pharmacologic Differences of CDK4/6 Inhibitors in Breast Cancer. Front Oncol. 2021 Jul 12;11:693104.\u003c/li\u003e\n \u003cli\u003eDajsakdipon T, Susiriwatananont T, Wongkraisri C, Ithimakin S, Parinyanitikul N, Supavavej A, et al. Comparative effectiveness analysis of survival with first-line palbociclib or ribociclib plus AI in HR\u0026thinsp;+\u0026thinsp;/HER2- advanced breast cancer (CEPRA study): preliminary analysis of real-world data from Thailand. BMC Cancer. 2024 Aug 16;24:1018.\u003c/li\u003e\n \u003cli\u003eOnesti CE, Jerusalem G. CDK4/6 inhibitors in breast cancer: differences in toxicity profiles and impact on agent choice. A systematic review and meta-analysis. Expert Rev Anticancer Ther. 2021 Mar 4;21(3):283\u0026ndash;98.\u003c/li\u003e\n \u003cli\u003eIbrance (palbociclib) dosing, indications, interactions, adverse effects, and more [Internet]. [cited 2024 Oct 2]. Available from: https://reference.medscape.com/drug/ibrance-palbociclib-999995\u003c/li\u003e\n \u003cli\u003eKisqali (ribociclib) dosing, indications, interactions, adverse effects, and more [Internet]. [cited 2024 Oct 2]. Available from: https://reference.medscape.com/drug/kisqali-ribociclib-1000154\u003c/li\u003e\n \u003cli\u003eZhu L, Wang M, Luo X, Li H, Shan H, Du Q, et al. Pharmacoeconomic evaluations of CDK4/6 inhibitors plus endocrine therapy for advanced hormone receptor-positive (HR+) and human epidermal growth factor receptor-2 negative (HER2\u0026minus;) breast cancer: a systematic review. Ann Transl Med. 2022 Feb;10(4):233\u0026ndash;233.\u003c/li\u003e\n \u003cli\u003eCameron D, Kumar Sharma V, Biswas C, Clarke C, Chandiwana D, Pathak P. Cost-effectiveness of ribociclib versus palbociclib in combination with an aromatase inhibitor as first-line treatment of postmenopausal women with HR+/HER2\u0026minus; advanced breast cancer: analysis based on final OS results of MONALEESA-2 and PALOMA-2. J Med Econ. 2023 Dec 31;26(1):357\u0026ndash;65.\u003c/li\u003e\n \u003cli\u003eSra MS, Sasi A, Batra A, Bakhshi S, Ganguly S. Cost-Effectiveness of Adjuvant Abemaciclib and Ribociclib in High-Risk Hormone Receptor\u0026ndash;Positive Early Breast Cancer: An Indian Perspective. JCO Glob Oncol. 2024 Jul;(10):e2300433.\u003c/li\u003e\n \u003cli\u003eGupta N, Gupta D, Dixit J, Mehra N, Singh A, nookala krishnamurthy M, et al. Cost Effectiveness of Ribociclib and Palbociclib in the Second-Line Treatment of Hormone Receptor-Positive, HER2-Negative Metastatic Breast Cancer in Post-Menopausal Indian Women. Appl Health Econ Health Policy. 2022 May 10;20.\u003c/li\u003e\n \u003cli\u003eLee JS, Yost SE, Li SM, Cui Y, Frankel PH, Yuan YC, et al. Genomic Markers of CDK 4/6 Inhibitor Resistance in Hormone Receptor Positive Metastatic Breast Cancer. Cancers. 2022 Jun 28;14(13):3159.\u003c/li\u003e\n \u003cli\u003eFoy R, Lew KX, Saurin AT. The search for CDK4/6 inhibitor biomarkers has been hampered by inappropriate proliferation assays. Npj Breast Cancer. 2024 Mar 4;10(1):1\u0026ndash;11.\u003c/li\u003e\n \u003cli\u003eStanciu IM, Parosanu AI, Orlov-Slavu C, Iaciu IC, Popa AM, Olaru CM, et al. Mechanisms of Resistance to CDK4/6 Inhibitors and Predictive Biomarkers of Response in HR+/HER2-Metastatic Breast Cancer\u0026mdash;A Review of the Literature. Diagnostics. 2023 Mar 5;13(5):987.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-cancer","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bcan","sideBox":"Learn more about [BMC Cancer](http://bmccancer.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bcan/default.aspx","title":"BMC Cancer","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"CDK4/6 inhibitors, HR+/HER2- breast cancer, metastatic breast cancer, Palbociclib, Ribociclib, real-world evidence","lastPublishedDoi":"10.21203/rs.3.rs-5658222/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5658222/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eIntroduction:\u003c/strong\u003e\u003cbr\u003e\nCyclin-dependent kinase 4/6 (CDK4/6) inhibitors, such as Palbociclib and Ribociclib, have significantly improved outcomes for patients with hormone receptor-positive, HER2-negative (HR+/HER2-) advanced breast cancer. Although clinical trials have established the efficacy of these agents globally, real-world data from India is limited. This study compares the clinical effectiveness and safety profiles of Palbociclib and Ribociclib in a cohort of Indian patients\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMaterials and Methods:\u003c/strong\u003e\u003cbr\u003e\nThis prospective study included 60 patients with metastatic HR+/HER2- breast cancer treated at Army hospitals and research centers in India between 2020 and 2023. Progression-free survival (PFS), overall survival (OS), and safety profiles were analyzed to assess the real-world performance of Palbociclib and Ribociclib. Patients were treated with either Palbociclib or Ribociclib in combination with standard endocrine therapy.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults:\u003c/strong\u003e\u003cbr\u003e\nAmong the 60 patients, the median PFS was 39.40 months for the Palbociclib group and 42.93 months for the Ribociclib group (p = 0.26), indicating no statistically significant difference. The median OS was 41.98 months in the Palbociclib group and 45.51 months in the Ribociclib group (p = 0.15), with Ribociclib showing a slight but non-significant survival advantage. The most common adverse event was neutropenia, which occurred in 26% of patients receiving Palbociclib and 23% of patients on Ribociclib. Deranged liver function tests (LFTs) and fatigue were also reported in both groups.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusions:\u003c/strong\u003e\u003cbr\u003e\nPalbociclib and Ribociclib demonstrated comparable efficacy and safety profiles in this Indian cohort. While no statistically significant differences in PFS or OS were observed, the data suggest a marginal survival benefit with Ribociclib. These findings underscore the importance of individualized treatment plans in HR+/HER2- breast cancer, taking into consideration patient-specific factors. Larger studies with longer follow-up are needed to further clarify the nuances between these two agents.\u003c/p\u003e","manuscriptTitle":"A Comparative Analysis of Palbociclib and Ribociclib in Metastatic Hormone Receptor-Positive, HER2-Negative Breast Cancer: A Prospective mid term Follow-Up Study from an Indian Cohort","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-04-28 05:40:02","doi":"10.21203/rs.3.rs-5658222/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Accepted","date":"2025-05-05T08:27:47+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-04-29T11:53:36+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"45103176267929268111620064929089333969","date":"2025-04-23T05:38:21+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-04-21T05:34:51+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-04-21T04:33:16+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Cancer","date":"2025-04-19T16:42:01+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-cancer","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bcan","sideBox":"Learn more about [BMC Cancer](http://bmccancer.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bcan/default.aspx","title":"BMC Cancer","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"d0945065-fcf6-4d36-b532-e5b5e00a405a","owner":[],"postedDate":"April 28th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-08-25T16:36:11+00:00","versionOfRecord":{"articleIdentity":"rs-5658222","link":"https://doi.org/10.1186/s12885-025-14270-1","journal":{"identity":"bmc-cancer","isVorOnly":false,"title":"BMC Cancer"},"publishedOn":"2025-08-18 16:29:31","publishedOnDateReadable":"August 18th, 2025"},"versionCreatedAt":"2025-04-28 05:40:02","video":"","vorDoi":"10.1186/s12885-025-14270-1","vorDoiUrl":"https://doi.org/10.1186/s12885-025-14270-1","workflowStages":[]},"version":"v1","identity":"rs-5658222","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5658222","identity":"rs-5658222","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}