Publication Date
1-1-2023
Journal
The Cancer Journal
DOI
10.1097/PPO.0000000000000638
PMID
36693152
PMCID
PMC9881750
PubMedCentral® Posted Date
1-1-2024
PubMedCentral® Full Text Version
Author MSS
Published Open-Access
yes
Keywords
Humans, Female, Transcriptome, Gene Expression Profiling, Neoplasms, Gene Expression Regulation, Neoplastic, Breast Neoplasms
Abstract
The vast amount of gene expression profiling data of bulk tumors and cell lines available in the public domain represents a tremendous resource. For any major cancer type, expression data can identify molecular subtypes, predict patient outcome, identify markers of therapeutic response, determine the functional consequences of somatic mutation, and elucidate the biology of metastatic and advanced cancers. This review provides a broad overview of gene expression profiling in cancer (which may include transcriptome and proteome levels) and the types of findings made using these data. This review also provides specific examples of accessing public cancer gene expression data sets and generating unique views of the data and the resulting genes of interest. These examples involve pan-cancer molecular subtyping, metabolism-associated expression correlates of patient survival involving multiple cancer types, and gene expression correlates of chemotherapy response in breast tumors.
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