Mutations in tumor suppressor TP53 have been inconsistently linked to breast cancer risk factors and survival. Immunohistochemistry (IHC) staining, a primary clinical means of TP53 mutation determination, only detects mutations that facilitate protein accumulation (e.g., missense mutations). RNA-based pathway methods capture functional status and may aid in understanding the role of TP53 function in racial disparities of breast cancer. TP53 status was assessed among invasive breast cancer cases from the Carolina Breast Cancer Study (CBCS) (2008–2013) using IHC and an established RNA-based TP53 signature (CBCS and The Cancer Genome Atlas (TCGA)). Frequency of TP53 status (IHC, RNA-based) was estimated in association with tumor characteristics, PAM50 intrinsic subtype, age, and race using relative frequency differences (RFDs) and 95% confidence intervals (95% CI) as the measure of association. Approximately 60% of basal-like tumors were TP53 protein positive (IHC), while nearly 100% were TP53 mutant-like (RNA). Luminal A tumors had low frequency of TP53 positivity (IHC: 7.9%) and mutant-like status (RNA: 1.7%). Mutant-like TP53 (RNA) was strongly associated with age ≤50 years, high tumor grade, advanced stage of disease, large tumor size, and basal-like and HER2 intrinsic subtypes. Black race was strongly associated with TP53 mutant-like status (RNA) (RFD: 24.8%, 95% CI: 20.5, 29.0) even after adjusting for age, grade, stage (RFD: 11.3%; 95% CI: 7.6, 15.0). Associations were attenuated and non-significant when measured by IHC. IHC-based TP53 status is an insensitive measurement of TP53 functional status. RNA-based methods suggest a role for TP53 in tumor prognostic features and racial disparities.
Bibliographical noteFunding Information:
The authors would like to thank that participants who generously gave their time to these studies. This work was supported by the Komen Graduate Training and Disparities Research Training Grant (LAW); the American Institute for Cancer Research (EHA); Komen Career Catalyst Grant (CCR16376756) (KAH); F31 CA200336 and P50 CA058223 (ENB); P50 CA058223 and U01 CA179715 (AFO and MAT); P30 ES010126, and U54 CA156733 (MAT), RO1 CA19575401 (CMP), UNC Translational Pathology Laboratory (SMC) is supported in part, by grants from the NCI (2-P30 CA01608640), NIEHS (2-P30 ES01012615A1), UCRF, and NCBT (2015-IDG-1007).
© 2018, The Author(s).