Literature DB >> 32796402

A novel screening approach comparing kinase activity of small molecule inhibitors with similar molecular structures and distinct biologic effects in triple-negative breast cancer to identify targetable signaling pathways.

Margarite D Matossian1, Hope E Burks1, Steven Elliott1, Van T Hoang1, William J Zuercher2,3, Carrow Wells2, David H Drewry2, Nirav Kapadia2, Tiffany Chang1, Thomas Yan1, Gabrielle O Windsor1, Khoa Nguyen1, Fang Fang4, Kenneth P Nephew4, Aaron Buechlein5, Douglas B Rusch5, Rachel A Sabol5,6, Deniz A Ucar6, Jovanny Zabaleta6, Lucio Miele6, Bruce A Bunnell7,8, Bridgette M Collins-Burow1, Matthew E Burow1,8.   

Abstract

Breast cancer affects women globally; the majority of breast cancer-related mortalities are due to metastasis. Acquisition of a mesenchymal phenotype has been implicated in the progression of breast cancer cells to an invasive, metastatic state. Triple-negative breast cancer (TNBC) subtypes have high rates of metastases, recurrence, and have poorer prognoses compared to other breast cancer types, partially due to lack of commonly targeted receptors. Kinases have diverse and pivotal functions in metastasis in TNBC, and discovery of new kinase targets for TNBC is warranted. We previously used a screening approach to identify intermediate-synthesis nonpotent, nonselective small-molecule inhibitors from the Published Kinase Inhibitor Set that reversed the mesenchymal phenotype in TNBC cells. Two of these inhibitors (GSK346294A and GSK448459A) are structurally similar, but have unique kinase activity profiles and exhibited differential biologic effects on TNBC cells, specifically on epithelial-to-mesenchymal transition (EMT). Here, we further interrogate these effects and compare activity of these inhibitors on transwell migration, gene (qRT-PCR) and protein (western blot) expressions, and cancer stem cell-like behavior. We incorporated translational patient-derived xenograft models in these studies, and we focused on the lead inhibitor hit, GSK346294A, to demonstrate the utility of our comparative analysis as a screening modality to identify novel kinase targets and signaling pathways to pursue in TNBC. This study introduces a new method for discovering novel kinase targets that reverse the EMT phenotype; this screening approach can be applied to all cancer types and is not limited to breast cancer.

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Year:  2020        PMID: 32796402      PMCID: PMC8092417          DOI: 10.1097/CAD.0000000000000962

Source DB:  PubMed          Journal:  Anticancer Drugs        ISSN: 0959-4973            Impact factor:   2.389


  41 in total

Review 1.  Therapeutic Advances and New Directions for Triple-Negative Breast Cancer.

Authors:  Eleni Andreopoulou; Catherine M Kelly; Hayley M McDaid
Journal:  Breast Care (Basel)       Date:  2017-02-07       Impact factor: 2.860

2.  Molecular Heterogeneity of Triple Negative Breast Cancer.

Authors:  Vandana G Abramson; Ingrid A Mayer
Journal:  Curr Breast Cancer Rep       Date:  2014-09-01

3.  The human kinome and kinase inhibition.

Authors:  Krisna C Duong-Ly; Jeffrey R Peterson
Journal:  Curr Protoc Pharmacol       Date:  2013-03

4.  Kinase drug discovery--what's next in the field?

Authors:  Philip Cohen; Dario R Alessi
Journal:  ACS Chem Biol       Date:  2012-12-31       Impact factor: 5.100

5.  Inhibition of platelet-derived growth factor receptor signaling regulates Oct4 and Nanog expression, cell shape, and mesenchymal stem cell potency.

Authors:  Stephen G Ball; Adrian Shuttleworth; Cay M Kielty
Journal:  Stem Cells       Date:  2012-03       Impact factor: 6.277

Review 6.  Epithelial-to-mesenchymal transition and the cancer stem cell phenotype: insights from cancer biology with therapeutic implications for colorectal cancer.

Authors:  V J Findlay; C Wang; D K Watson; E R Camp
Journal:  Cancer Gene Ther       Date:  2014-05-02       Impact factor: 5.987

Review 7.  Protein Kinase Targets in Breast Cancer.

Authors:  Marilina García-Aranda; Maximino Redondo
Journal:  Int J Mol Sci       Date:  2017-11-27       Impact factor: 5.923

8.  Unravelling triple-negative breast cancer molecular heterogeneity using an integrative multiomic analysis.

Authors:  Y Bareche; D Venet; M Ignatiadis; P Aftimos; M Piccart; F Rothe; C Sotiriou
Journal:  Ann Oncol       Date:  2018-04-01       Impact factor: 32.976

9.  A systematic approach to identify novel cancer drug targets using machine learning, inhibitor design and high-throughput screening.

Authors:  Jouhyun Jeon; Satra Nim; Joan Teyra; Alessandro Datti; Jeffrey L Wrana; Sachdev S Sidhu; Jason Moffat; Philip M Kim
Journal:  Genome Med       Date:  2014-07-30       Impact factor: 11.117

10.  Genomic Evolution of Breast Cancer Metastasis and Relapse.

Authors:  Lucy R Yates; Stian Knappskog; David Wedge; James H R Farmery; Santiago Gonzalez; Inigo Martincorena; Ludmil B Alexandrov; Peter Van Loo; Hans Kristian Haugland; Peer Kaare Lilleng; Gunes Gundem; Moritz Gerstung; Elli Pappaemmanuil; Patrycja Gazinska; Shriram G Bhosle; David Jones; Keiran Raine; Laura Mudie; Calli Latimer; Elinor Sawyer; Christine Desmedt; Christos Sotiriou; Michael R Stratton; Anieta M Sieuwerts; Andy G Lynch; John W Martens; Andrea L Richardson; Andrew Tutt; Per Eystein Lønning; Peter J Campbell
Journal:  Cancer Cell       Date:  2017-08-14       Impact factor: 38.585

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