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Composition of Subtypes in Microarray Datasets: A Comparative Analysis of Vijver and Wang Studies

This analysis examines the subtype composition in two microarray datasets from Vijver et al. and Wang et al., focusing on breast cancer classifications such as BLBC, QNBC, LumB, and LumA. Both studies evaluate gene expression markers including ESR1, PGR, ERBB2, KRT5, and EGFR, highlighting their relevance in understanding tumor biology and potential treatment pathways. The findings contribute to a deeper understanding of breast cancer subtypes and their molecular characteristics, aiding in personalized medicine approaches.

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Composition of Subtypes in Microarray Datasets: A Comparative Analysis of Vijver and Wang Studies

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  1. (A) Composition of subtypes in two microarray datasets (B) Vijver et al. BLBC QNBC ERBB2+ LumB LumA expression ESR1 PGR ERBB2 KRT5 EGFR (C) Wang et al. BLBC QNBC ERBB2+ LumB LumA expression ESR1 PGR ERBB2 KRT5 EGFR

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