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A transcriptomic biomarker predictive of cell proliferation for use in adverse outcome pathway-informed testing (SOT 24)
Citation:
Corton, Jon, V. Ledbetter, S. Cohen, E. Atlas, C. Yauk, AND J. Liu. A transcriptomic biomarker predictive of cell proliferation for use in adverse outcome pathway-informed testing (SOT 24). Society of Toxicology (SOT) 63rd Annual Meeting and ToxExpo, Salt Lake City, NV, March 10 - 14, 2024. https://doi.org/10.23645/epacomptox.25443715
Impact/Purpose:
Presentation to the Society of Toxicology (SOT) 63rd Annual Meeting and ToxExpo March 2024
Description:
High-throughput transcriptomics (HTTr) is increasingly being used to identify molecular targets of chemicals that can be linked to adverse outcomes. Cell proliferation is an important key event in chemical carcinogenesis. Here, we describe the construction and characterization of a gene expression biomarker that is predictive of the cell proliferation (CP) status in human and rodent tissues. The biomarker was constructed from 30 genes known to be increased in expression in prostate cancers relative to surrounding tissues and in cycling human MCF-7 cells after estrogen receptor (ER) agonist exposure. Using a large compendium of gene expression profiles to test utility, the biomarker could identify increases in cell proliferation in 1) 367 tumor vs. normal surrounding tissue comparisons from 6 human organs, 2) MCF-7 cells after activation of ER, 3) after partial hepatectomy in mice and rats, and 4) the livers of mice after exposure to nongenotoxic hepatocarcinogens. The biomarker identified suppression of CP 1) under conditions of p53 activation by DNA damaging agents in human cells, 2) in human A549 lung cells exposed to therapeutic anticancer kinase inhibitors (dasatinib, nilotnib) and 3) in the mouse liver when comparing high levels of CP at birth to the low background levels in the adult. The responses using the biomarker were similar to those observed using conventional markers of CP including PCNA, Ki67, and BrdU labeling. The CP biomarker will be a useful tool for interpretation of HTTr data streams to identify cell proliferation status after exposure to chemicals in human cells or in rodent tissues.
URLs/Downloads:
DOI: A transcriptomic biomarker predictive of cell proliferation for use in adverse outcome pathway-informed testing (SOT 24)
CORTON_ CELLPROLIFERATIONBIOMARKERSOTPOSTER_02_29_24.PDF (PDF, NA pp, 791.439 KB, about PDF)