MicroRNA-mediated resistance mechanisms in NAT-treated HER2-positive breast cancer (BC): A single centre retrospective analysis from matched primary and residual tumours.
Abstract
e12613 Background: HER2+ accounts for 20–25 % of all BC, is aggressive and clinically challenging. Though treatment outcomes have improved with anti-HER2 agents in the past decade, primary and acquired drug resistance limit the benefits of treatment. MicroRNAs(MIRs) regulate gene expression post-transcriptionally and influence drug resistance. This study examined miRNA-mediated resistance to anti-HER2 therapy through analysis of 78 matched primary and residual tumor specimens. Methods: 78 primary FFPE tumour specimens from HER2 + BC, treated uniformly with standard NAT were accepted for analysis after Institutional Ethics approval. Using public datasets, we identified 8 prognostically significant miRs and in our series, analysed them via Taqman RT-qPCR. A predictive regression model incorporating miR-98, 15b, 193A, and 187 was developed using machine learning methods. Results: Patients showed 54% overall pCR rate following NAT, with 65% of pCR under dual anti-HER2 blockade. HR-ve /HER2+ cases demonstrated superior response (61% vs 39% p<0.05). High miRNA expression correlated with poor response (p<0.05). Dual anti-HER2 therapy and early clinical stage significantly predicted pCR (p=0.014, p=0.037). Analysis of subset of residual tumors and comparing with primary, revealed differential increased levels of oncogenic miRs-15b (p=0.021), 193A (p=0.0003), 98 (p=0.03), 129(p=0.0001), and 130b (p=0.7), suggesting increased acquired resistance. This pattern was more evident in ER-ve HER2+ cases (p<0.05). Conclusions: We identified candidate miRNAs which predict response to NAT in HER2+ BC, and this represents understanding the epigenetic mechanisms of treatment resistance in HER2+ BC, potentially leading to more effective, personalized therapeutic strategies. More analysis of primary and matched residual tumours are ongoing with functional validation for selected MIRs underway.
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (15)
Sandhya Appachu Mathranda
Shankara Cancer Hospital and Research Center, Bangalore, Karnataka, India
Praveen Kumar
Rekha Kumar
Sri Shankara Cancer Hospital and Research Centre, Bengaluru, India
Sulakshana Srihari
Sri Shankara Cancer Hospital and Research center, Bengaluru, India
Ravi Diwaker
Sri Shankara Cancer Hospital and Research center, Bengaluru, India
Vinayak Munirathnam
Sri Shankara Cancer Hospital and Research center, Bengaluru, India
Vijai Simha
Indian Cancer Society, Mumbai, India
Sreevalli Anantharamu
Sri Shankara Cancer Hospital and Research center, Bangalore, India
Supreeth R. N.
Sri Shankara Cancer Hospital and Research center, Bangalore, India
Hari P. S.
Sri Shankara Cancer Hospital and Research Centre, Bengaluru, India
Durgadevi Veeraiyan
Sri Shankara Cancer Hospital and Research Centre, Bengaluru, India
Lohita Krishna Kanyadhara
Sri Shankara Cancer Hospital and Research center, Bangalore, India
V. Sasimouli
Sri Shankara Cancer Hospital and Research center, Bangalore, India
B. S. Srinath
Sri Shankara Cancer Hospital And Research Centre, Bangalore, India
Aruna Korlimarla
Sri Shankara Cancer Foundation, Bangalore, India