Labcorp Oncology, Durham, NC
Heidi Chwan Ko , Sarabjot Pabla , Mary K Nesline , Kyle C Strickland , Rebecca A. Previs , Zachary D Wallen , Shengle Zhang , Jeffrey M. Conroy , Mark Sausen , Jennifer B Jackson , Kamal S. Saini , Scott Wise , Taylor J. Jensen , Venkataprasanth P. Reddy , Eric A Severson , Shakti Ramkissoon
Background: Preclinical evidence suggests that breast cancer with features of genomic instability may upregulate the host antitumor immune response by producing neoantigens through DNA damage and increasing interferon production through the stimulator of interferon genes (STING) pathway. In this study, we evaluated the association between features of genomic instability and immune response in a real-world breast cancer population. Methods: We analyzed retrospective comprehensive genomic and immune profiling (CGIP) results from 529 breast tumors tested in the real-world clinical setting. We defined the HRD phenotype as tumor with any single nucleotide variants (SNV), indels, copy number variations (CNV) or fusions in the following genes: ARID1A, ATM, ATRX, BAP1, BARD1, BLM, BRCA1/2, BRIP1, CHEK1/2, FANCA, MRE11A, NBN, PALB2, RAD50 and RAD51. Otherwise, they were considered HR-proficient (HRP). PD-L1 expression (CPS positive ≥10) and TMB (high ≥10 Mut/Mb) were determined using IHC and DNA sequencing, respectively. mRNA expression signatures of tumor inflammation (TIGS, strong/moderate/weak), cell proliferation (CP, high/moderate/poor) and cancer testis antigen burden (CTAB, high/low) were determined by RNA-sequencing from a 395-gene panel. We used over-representation and proportion analysis using chi-squared test to determine association of HRD to immune correlates. Results: Among 529 cases, the median patient age was 63.2 years (25.5-93.5). The majority of patients were female (519, 98%), and the most common tumor histology was invasive ductal carcinoma (287, 54%). A total of 405 (77%) and 124 (23%) of patients had HRD and HRP phenotypes, respectively. A greater proportion of HRD tumors (16%) had higher TMB compared to HRP (5.6%, p=0.003). HRP tumors showed a relatively low CP index, whereas HRD tumors were associated with a moderate CP index score (p = 0.007). HRD phenotype was associated with a significantly higher proportion of weakly inflamed tumors, as represented by lower TIGS scores (p=0.007). No significant difference in PD-L1 or CTAB was found between HRD and HRP phenotypes. Conclusions: Breast tumors with mutations in the HR genes demonstrated greater TMB and moderate cellular proliferation index of both tumor and immune cells, which suggest susceptibility to immune checkpoint inhibitors. Interestingly, this cohort lacked elevated markers of immune infiltration (TIGS), indicating a mechanism of potential tumor immune evasion. These results suggest that CGIP may allow for more informed treatment decisions in HRD breast cancers. Furthermore, assessment of HR status and immunotherapy susceptibility may support clinical trial selections for therapies targeting the complex interplay of genomic and immune components of breast cancer (e.g., a combination of PARP inhibitor and immunotherapy).
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