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Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
Published on: August 1, 2018
Subclassification of the molecular types of breast cancer based on the expression of immunohistochemical markers and
Abstract:
Breast carcinomas have been classified from the molecular point of view into four major groups (Luminal A, Luminal B, HER2 and triple negative). However, these groups are not homogeneous and there is a need to establish subcategories that can be identified by immunohistochemistry (IHC), to better predict prognosis and carry out treatments that are more effective. This study was conducted in 354 patients diagnosed with invasive ductal breast carci- noma. The expression of 22 molecules was analyzed by tissue matrices and the results obtained were compared with molecular classes defined by IHC, according to the expression of estrogen receptor (ER), progesterone receptor (PR) and HER2, and the overall survival. The Luminal A molecular class can set various prognosticosubgroups: the subgroup with exclusive expression of ER and PR, with Ki-67 ≤14%, with a better prognosis, and the subgroup of Luminal A with Ki-67> 14% or other expression related to the basal phenotype markers. Luminal B group can be divided into subtypes according to the expression of Ki-67 (cutoff at 25%). In the HER2 class it seems important the Ki-67 index for forecasting (cutoff at 25%). The TN class can be divided according to the rate of proliferation into two prognostic categories, with a better prog- nosis for tumors with Ki-67 index ≤25%.
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