A target based approach identifies genomic predictors of breast cancer patient response to chemotherapy.

BMC Medical Genomics
Robin M HallettJohn A Hassell

Abstract

The efficacy of chemotherapy regimens in breast cancer patients is variable and unpredictable. Whether individual patients either achieve long-term remission or suffer recurrence after therapy may be dictated by intrinsic properties of their breast tumors including genetic lesions and consequent aberrant transcriptional programs. Global gene expression profiling provides a powerful tool to identify such tumor-intrinsic transcriptional programs, whose analyses provide insight into the underlying biology of individual patient tumors. For example, multi-gene expression signatures have been identified that can predict the likelihood of disease reccurrence, and thus guide patient prognosis. Whereas such prognostic signatures are being introduced in the clinical setting, similar signatures that predict sensitivity or resistance to chemotherapy are not currently clinically available. We used gene expression profiling to identify genes that were co-expressed with genes whose transcripts encode the protein targets of commonly used chemotherapeutic agents. Here, we present target based expression indices that predict breast tumor response to anthracycline and taxane based chemotherapy. Indeed, these signatures were independently predicti...Continue Reading

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Citations

Aug 20, 2014·BMC Research Notes·Sam D ChorltonJohn A Hassell
Oct 24, 2018·Oncogene·David BakhshinyanSheila K Singh
Mar 10, 2015·Oncotarget·Robin M HallettJonathan S Draper
Aug 30, 2020·Nature Communications·Branavan ManoranjanSheila K Singh
Jul 15, 2015·Clinical Cancer Research : an Official Journal of the American Association for Cancer Research·Chitra VenugopalSheila K Singh

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Datasets Mentioned

BETA
GSE6532
GSE25065
GSE22513
GSE25055
GSE2034
GSE7390
GSE21094

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