Gene Expression Profiles in Cancers and Their Therapeutic Implications.

TitleGene Expression Profiles in Cancers and Their Therapeutic Implications.
Publication TypeJournal Article
Year of Publication2023
AuthorsCreighton, CJ
JournalCancer J
Date Published2023 Jan-Feb 01
KeywordsBreast Neoplasms, Female, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Humans, Neoplasms, Transcriptome

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.

Alternate JournalCancer J
PubMed ID36693152
PubMed Central IDPMC9881750
Grant ListP30 CA125123 / CA / NCI NIH HHS / United States

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