Abstract

TP53 mutations are common in breast cancer and are typically associated with more aggressive tumor characteristics, but little is known about the clinicopathological and epidemiological relevance of p53 protein expression, a TP53 mutation surrogate, in breast cancer subtypes. In this study of 7226 Chinese women with invasive breast cancer, we defined breast cancer subtypes using immunohistochemical (IHC) measures of hormone receptors and HER2 in conjunction with histologic grade. p53 expression status was then used to further stratify subtypes into p53-positive and p53-negative. Odds ratios (ORs) and 95% confidence intervals (CIs) in case-only logistic regression analyses were used to examine heterogeneity across different subtypes. The frequency of p53 protein expression varied by breast cancer subtype, being lowest in the luminal A-like and highest in the triple-negative and HER2-enriched subtypes (P-value < 0.01). In luminal A-like and B-like/HER2-negative subtypes, p53 positivity was associated with early-onset tumors, high grade, high proliferative index, and basal marker (CK5/6 and EGFR) expression. Further, compared with luminal A-like/p53-negative patients, A-like/p53-positive patients were more likely to be parous [adjusted OR parous vs. nulliparous = 2.67 (1.60, 4.51); P-value < 0.01] and to have breastfed [adjusted OR ever vs. never = 1.38 (1.03, 1.85); P-value = 0.03]. p53 positivity was not associated with examined clinical and risk factors in other tumor subtypes. Overall, these findings suggest that p53 expression, which is readily available in many settings, can be used to identify phenotypes of luminal A-like breast cancer with distinct clinical and epidemiological implications.

Highlights

  • Based on gene-expression profiling, breast cancer can be classified into luminal, human epidermal growth factor receptor 2 (HER2)enriched, normal-like, and basal-like subtypes,[1] with distinct clinical and epidemiological attributes.[2,3,4] In general, compared to non-luminal (HER2-enriched and basal-like) breast cancers, luminal tumors have better survival outcomes and are more strongly associated with reproductive risk factors.[5,6,7] accumulating evidence is in support of residual clinical and epidemiological heterogeneity within the major breast cancer subtypes.[8]

  • Our findings indicate that p53 protein expression can be used to further stratify women with luminal A-like breast cancer into subgroups with clinical and epidemiological relevance

  • The frequency of TP53 mutation varies according to molecular subtype of breast cancer, with luminal tumors tending to have lower prevalence than basal-like or HER2-enriched tumors.[27,28,29]

Read more

Summary

Introduction

Based on gene-expression profiling, breast cancer can be classified into luminal, human epidermal growth factor receptor 2 (HER2)enriched, normal-like, and basal-like subtypes,[1] with distinct clinical and epidemiological attributes.[2,3,4] In general, compared to non-luminal (HER2-enriched and basal-like) breast cancers, luminal tumors have better survival outcomes and are more strongly associated with reproductive risk factors.[5,6,7] accumulating evidence is in support of residual clinical and epidemiological heterogeneity within the major breast cancer subtypes.[8]. Despite its relatively good prognosis overall,[2,12] some patients with the luminal breast cancer subtype suffer from fatal recurrence on endocrine therapy.[9,13] Expression profiling studies have identified at least two subtypes of luminal breast cancer, designated as luminal A and B, with different prognoses and response to treatment.[4,14,15] To recapitulate these subtypes in routine clinical practice, some international guidelines have endorsed the use of immunohistochemical measures on estrogen receptor (ER), progesterone receptor (PR), HER2 and KI67, a marker of proliferation, or histologic grade, a composite marker of proliferation and differentiation.[16,17,18] this classification scheme has been shown to be of prognostic[19] and therapeutic[16,20] relevance, it does not fully capture heterogeneity in luminal tumors.[21,22]

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call