Publication Date
1-20-2023
Journal
iScience
DOI
10.1016/j.isci.2022.105799
PMID
36619972
PMCID
PMC9813793
PubMedCentral® Posted Date
12-12-2022
PubMedCentral® Full Text Version
Post-print
Published Open-Access
yes
Keywords
Immune response, Cancer, Omics
Abstract
Although systemic chemotherapy remains the standard of care for TNBC, even combination chemotherapy is often ineffective. The identification of biomarkers for differential chemotherapy response would allow for the selection of responsive patients, thus maximizing efficacy and minimizing toxicities. Here, we leverage TNBC PDXs to identify biomarkers of response. To demonstrate their ability to function as a preclinical cohort, PDXs were characterized using DNA sequencing, transcriptomics, and proteomics to show consistency with clinical samples. We then developed a network-based approach (CTD/WGCNA) to identify biomarkers of response to carboplatin (MSI1, TMSB15A, ARHGDIB, GGT1, SV2A, SEC14L2, SERPINI1, ADAMTS20, DGKQ) and docetaxel (c, MAGED4, CERS1, ST8SIA2, KIF24, PARPBP). CTD/WGCNA multigene biomarkers are predictive in PDX datasets (RNAseq and Affymetrix) for both taxane- (docetaxel or paclitaxel) and platinum-based (carboplatin or cisplatin) response, thereby demonstrating cross-expression platform and cross-drug class robustness. These biomarkers were also predictive in clinical datasets, thus demonstrating translational potential.
Included in
Biochemistry, Biophysics, and Structural Biology Commons, Biological Phenomena, Cell Phenomena, and Immunity Commons, Biology Commons, Medical Immunology Commons, Oncology Commons
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