Abstract PS16-09: Analysis of the Radiosensitivity Index/Genomic-Adjusted Radiation Dose (RSI-GARD) in Paired Pre- and Post-Treatment TNBC Samples: Implications for Biomarker-Guided Radiotherapy

Abstract Objectives: Adjuvant radiotherapy is an important component of curative treatment for triple-negative breast cancer (TNBC). While there are several accepted variations in nominal dose and fractionation, these regimens are generally felt to be radiobiologically equivalent. Molecular radiosensitivity biomarkers have the potential to allow tailoring of physical radiotherapy dose for individual patients. The Radiosensitivity Index (RSI)/Genomic-Adjusted Radiation Dose (GARD) is a gene expression signature that predicts intrinsic radiosensitivity across multiple malignancies, with initial studies demonstrating clinical utility of RSI-GARD in TNBC. Since most TNBC patients will receive neoadjuvant systemic therapy, we sought to understand how neoadjuvant therapy-induced molecular adaptations could alter intrinsic radiosensitivity and RSI-GARD. Methods: Total RNA was isolated from pre-treatment and paired surgical specimens (for patients with residual disease (RD)) from TNBC patients treated with chemotherapy on the NeoSTOP (NCT02413320) or chemoimmunotherapy on the NeoPACT (NCT03639948) neoadjuvant trials and was subjected to RNA exome sequencing. The RSI was calculated according to the published algorithm using normalized expression of the 10 genes in this signature (AR, JUN1, STAT1, PRKCB, RELA, ABL1, SUMO1, PAK2, HDAC1, and IRF1). The resulting RSI score was substituted as the surviving fraction (SF) using the linear quadratic model of radiation-induced cellular lethality assuming a fractional dose of 2.0 Gy and a constant β=0.05 Gy−2 to derive a patient-specific α, which is a coefficient modifying dose-dependent cellular lethality resulting from binary mis-repair of double-strand breaks (DSBs) arising from a single particle track. Results: Pre-treatment sequencing data were available for N=200 patients and the overall pathologic complete response (pCR) rate was 56.5%. Paired pre- and post-treatment sequencing data were available for N=58 patients (N=27 from NeoSTOP and N=31 from NeoPACT). One NeoPACT patient had a negative RSI, which led to an undefined α. Under the assumptions of the RSI-substituted LQ model, the median α/β ratio (reflecting sensitivity to fractionation) for all pre-treatment samples was 11.7 Gy. TNBC patients who achieved pCR had a significantly higher pre-treatment α (i.e., higher intrinsic radiosensitivity) compared to patients who had residual disease (P=0.04), and this trend was the same for patients treated with chemotherapy (P=0.31) or chemoimmunotherapy (P=0.05). Importantly, α did not change significantly between paired pre- and post-treatment samples (median change post- vs. pre-treatment=0.03 Gy−1 (range -0.25 to +0.24 Gy−1; P=0.26) in patients with RD, with no difference in subgroups treated with chemotherapy (P=0.99) or chemoimmunotherapy (P=0.10). Conclusions: We found that predicted intrinsic radiosensitivity using the RSI-GARD is associated with pathologic response to neoadjuvant systemic therapy, suggesting that this signature also predicts intrinsic chemosensitivity in TNBC patients. The modeled α/β ratio for all pre-treatment samples was 11.7 Gy, which is substantially higher than empirically determined α/β ratios in studies that were enriched for HR+/HER2- breast cancers. Globally, the RSI-GARD score was not impacted by neoadjuvant systemic therapy, with no significant change in the score in paired pre- and post-treatment samples. These results can inform future testing and implementation of RSI-GARD into prospective trials. Citation Format: Shane Stecklein, Julia White, Rachel Yoder, Joshua Staley, Zachary Schmitt, Anne O'Dea, Lauren Nye, Deepti Satelli, Gregory Crane, Rashna Madan, Maura O'Neil, Andrew Godwin, Harsh Pathak, Qamar Khan, Joyce O'Shaughnessy, Priyanka Sharma. Analysis of the Radiosensitivity Index/Genomic-Adjusted Radiation Dose (RSI-GARD) in Paired Pre- and Post-Treatment TNBC Samples: Implications for Biomarker-Guided Radiotherapy abstract. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PS16-09.