Screening of a kinase inhibitor library identified novel targetable kinase pathways in triple-negative breast cancer

Triple-negative breast cancer (TNBC) is a highly invasive breast cancer subtype that is challenging to treat due to inherent heterogeneity and absence of estrogen, progesterone, and human epidermal growth factor 2 receptors. Kinase signaling networks drive cancer growth and development, and kinase inhibitors are promising anti-cancer strategies in diverse cancer subtypes. Kinase inhibitor screens are an efficient, valuable means of identifying compounds that suppress cancer cell growth in vitro, facilitating the identification of kinase vulnerabilities to target therapeutically. The Kinase Chemogenomic Set is a well-annotated library of 187 kinase inhibitor compounds that indexes 215 kinases of the 518 in the known human kinome representing various kinase networks and signaling pathways, several of which are understudied. Our screen revealed 14 kinase inhibitor compounds effectively inhibited TNBC cell growth and proliferation. Upon further testing, three compounds, THZ531, THZ1, and PFE-PKIS 29, had the most significant and consistent effects across a range of TNBC cell lines. These cyclin-dependent kinase (CDK)12/CDK13, CDK7, and phosphoinositide 3-kinase inhibitors, respectively, decreased metabolic activity in TNBC cell lines and promote a gene expression profile consistent with the reversal of the epithelial-to-mesenchymal transition, indicating these kinase networks potentially mediate metastatic behavior. These data identified novel kinase targets and kinase signaling pathways that drive metastasis in TNBC.

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Publication Details

Journal
Anti-Cancer Drugs
Published
2024-08-20
DOI
https://doi.org/10.1097/cad.0000000000001658
Citations
1
Primary Topic
Cancer-related Molecular Pathways
Type
article
Field-Weighted Citation Impact
0.28

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article

Screening of a kinase inhibitor library identified novel targetable kinase pathways in triple-negative breast cancer

Elizabeth C. Martin, Van T. Hoang, Bruce A. Bunnell, Margarite D. Matossian et al.
1 citations
Anti-Cancer Drugs
Cancer-related Molecular Pathways
0.28
article

Screening of a kinase inhibitor library identified novel targetable kinase pathways in triple-negative breast cancer

Elizabeth C. Martin, Van T. Hoang, Bruce A. Bunnell, Margarite D. Matossian, Caroline H. Rinderle, Matthew E. Burow, Simak Ali, Sara Al‐Ghadban, C Lagarde, Bridgette M. Collins‐Burow, David H. Drewry, Khoa Nguyen, C. Baker
article en
1 citations

Abstract

Triple-negative breast cancer (TNBC) is a highly invasive breast cancer subtype that is challenging to treat due to inherent heterogeneity and absence of estrogen, progesterone, and human epidermal growth factor 2 receptors. Kinase signaling networks drive cancer growth and development, and kinase inhibitors are promising anti-cancer strategies in diverse cancer subtypes. Kinase inhibitor screens are an efficient, valuable means of identifying compounds that suppress cancer cell growth in vitro, facilitating the identification of kinase vulnerabilities to target therapeutically. The Kinase Chemogenomic Set is a well-annotated library of 187 kinase inhibitor compounds that indexes 215 kinases of the 518 in the known human kinome representing various kinase networks and signaling pathways, several of which are understudied. Our screen revealed 14 kinase inhibitor compounds effectively inhibited TNBC cell growth and proliferation. Upon further testing, three compounds, THZ531, THZ1, and PFE-PKIS 29, had the most significant and consistent effects across a range of TNBC cell lines. These cyclin-dependent kinase (CDK)12/CDK13, CDK7, and phosphoinositide 3-kinase inhibitors, respectively, decreased metabolic activity in TNBC cell lines and promote a gene expression profile consistent with the reversal of the epithelial-to-mesenchymal transition, indicating these kinase networks potentially mediate metastatic behavior. These data identified novel kinase targets and kinase signaling pathways that drive metastasis in TNBC.

Anti-Cancer DrugsVol. 36(1)
University of North Carolina at Chapel Hill (US), Tulane University (US), University of North Texas (US), University of North Texas Health Science Center (US), Structural Genomics Consortium (CA), Imperial College London (GB)
Bristol-Myers Squibb, Pfizer, Bayer, Tulane University, McGill University, Genome Canada, Merck KGaA, Ontario Genomics, European Federation of Pharmaceutical Industries and Associations, Ontario Genomics Institute, Genentech
Good health and well-being
Openalex Percentile: Top 37%
Cancer-related Molecular Pathways
0.28
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