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Molecular subtype profiling of invasive breast cancers weakly positive for estrogen receptor.
- Source :
- Breast Cancer Research & Treatment; Feb2016, Vol. 155 Issue 3, p483-490, 8p
- Publication Year :
- 2016
-
Abstract
- The estrogen receptor (ER) is a key predictive biomarker in the treatment of breast cancer. There is uncertainty regarding the use of hormonal therapy in the setting of weakly positive ER by immunohistochemistry (IHC). We report intrinsic subtype classification on a cohort of ER weakly positive early-stage breast cancers. Consecutive cases of breast cancer treated by primary surgical resection were retrospectively identified from 4 centers that engage in routine external proficiency testing for breast biomarkers. ER-negative (Allred 0 and 2) and ER weakly positive (Allred 3-5) cases were included. Gene expression profiling was performed using qRT-PCR. Intrinsic subtype prediction was made based upon the PAM50 gene expression signature. 148 cases were included in the series: 60 cases originally diagnosed as ER weakly positive and 88 ER negative. Of the cases originally assessed as ER weakly positive, only 6 (10 %) were confirmed to be of luminal subtype by gene expression profiling; the remaining 90 % of cases were classified as basal-like or HER2-enriched subtypes. This was not significantly different than the fraction of luminal cases identified in the IHC ER-negative cohort (5 (5 %) luminal, 83(95 %) non-luminal). Recurrence-free, and overall, survival rates were similar in both groups ( p = 0.4 and 0.5, respectively) despite adjuvant hormonal therapy prescribed in the majority (59 %) of weakly positive ER cases. Weak ER expression by IHC is a poor correlate of luminal subtype in invasive breast cancer. In the setting of highly sensitive and robust IHC methodology, cutoffs for ER status determination and subsequent systemic therapy should be revisited. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01676806
- Volume :
- 155
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Breast Cancer Research & Treatment
- Publication Type :
- Academic Journal
- Accession number :
- 113252323
- Full Text :
- https://doi.org/10.1007/s10549-016-3689-z