Analysis of 10086 Microarray Gene Expression Data Uncovers Genes that Subclassify Breast Cancer Intrinsic Subtypes

I-Hsuan Lin, Ming Ta Hsu

Research output: Book/ReportBook

Abstract

Breast cancer is a complex disease comprising molecularly distinct subtypes. The prognosis and treatment differ between subtypes; thus, it is important to distinguish one subtype from another. In this chapter, we make use of high-throughput microarray dataset to perform breast cancer subtyping of 10086 samples. Aside from the four major subtypes, that is, Basal-like, HER2-enriched, luminal A, and luminal B, we defined a normal-like subtype that has a gene expression profile similar to that found in normal and adjacent normal breast samples. Also, a group of luminal B-like samples with better prognosis was distinguished from the high-risk luminal B breast cancer. We additionally identified 33 surface-protein encoding genes whose gene expression profiles were associated with survival outcomes. We believe these genes are potential therapeutic targets and diagnostic biomarkers for breast cancer.
Original languageEnglish
DOIs
Publication statusPublished - Apr 5 2017

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Microarray Analysis
Breast Neoplasms
Gene Expression
Transcriptome
Genes
Membrane Proteins
Breast
Biomarkers
Therapeutics

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abstract = "Breast cancer is a complex disease comprising molecularly distinct subtypes. The prognosis and treatment differ between subtypes; thus, it is important to distinguish one subtype from another. In this chapter, we make use of high-throughput microarray dataset to perform breast cancer subtyping of 10086 samples. Aside from the four major subtypes, that is, Basal-like, HER2-enriched, luminal A, and luminal B, we defined a normal-like subtype that has a gene expression profile similar to that found in normal and adjacent normal breast samples. Also, a group of luminal B-like samples with better prognosis was distinguished from the high-risk luminal B breast cancer. We additionally identified 33 surface-protein encoding genes whose gene expression profiles were associated with survival outcomes. We believe these genes are potential therapeutic targets and diagnostic biomarkers for breast cancer.",
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