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Tumor exome sequencing and copy number alterations reveal potential predictors of intrinsic resistance to multi-targeted tyrosine kinase inhibitors

Multi-targeted tyrosine kinase inhibitors (TKIs) have broad efficacy and similar FDA-approved indications, suggesting shared molecular drug targets across cancer types. Irrespective of tumor type, 20-30% of patients treated with multi-targeted TKIs demonstrate intrinsic resistance, with progressive...

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Autores principales: Gillis, Nancy K., Rotroff, Daniel M., Mesa, Tania E., Yao, Jiqiang, Chen, Zhihua, Carulli, Michael A., Yoder, Sean J., Walko, Christine M., Teer, Jamie K., McLeod, Howard L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5777758/
https://www.ncbi.nlm.nih.gov/pubmed/29383146
http://dx.doi.org/10.18632/oncotarget.22914
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author Gillis, Nancy K.
Rotroff, Daniel M.
Mesa, Tania E.
Yao, Jiqiang
Chen, Zhihua
Carulli, Michael A.
Yoder, Sean J.
Walko, Christine M.
Teer, Jamie K.
McLeod, Howard L.
author_facet Gillis, Nancy K.
Rotroff, Daniel M.
Mesa, Tania E.
Yao, Jiqiang
Chen, Zhihua
Carulli, Michael A.
Yoder, Sean J.
Walko, Christine M.
Teer, Jamie K.
McLeod, Howard L.
author_sort Gillis, Nancy K.
collection PubMed
description Multi-targeted tyrosine kinase inhibitors (TKIs) have broad efficacy and similar FDA-approved indications, suggesting shared molecular drug targets across cancer types. Irrespective of tumor type, 20-30% of patients treated with multi-targeted TKIs demonstrate intrinsic resistance, with progressive disease as a best response. We conducted a retrospective cohort study to identify tumor (somatic) point mutations, insertion/deletions, and copy number alterations (CNA) associated with intrinsic resistance to multi-targeted TKIs. Using a candidate gene approach (n=243), tumor next-generation sequencing and CNA data was associated with resistant and non-resistant outcomes. Resistant individuals (n=11) more commonly harbored somatic point mutations in NTRK1, KDR, TGFBR2, and PTPN11 and CNA in CDK4, CDKN2B, and ERBB2 compared to non-resistant (n=26, p<0.01). Using a random forest classification model for variable reduction and a decision tree classification model, we were able to differentiate intrinsically resistant from non-resistant patients. CNA in CDK4 and CDKN2B were the most important analytical features, implicating the cyclin D pathway as a potentially important factor in resistance to multi-targeted TKIs. Replication of these results in a larger, independent patient cohort has potential to inform personalized prescribing of these widely utilized agents.
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spelling pubmed-57777582018-01-30 Tumor exome sequencing and copy number alterations reveal potential predictors of intrinsic resistance to multi-targeted tyrosine kinase inhibitors Gillis, Nancy K. Rotroff, Daniel M. Mesa, Tania E. Yao, Jiqiang Chen, Zhihua Carulli, Michael A. Yoder, Sean J. Walko, Christine M. Teer, Jamie K. McLeod, Howard L. Oncotarget Research Paper Multi-targeted tyrosine kinase inhibitors (TKIs) have broad efficacy and similar FDA-approved indications, suggesting shared molecular drug targets across cancer types. Irrespective of tumor type, 20-30% of patients treated with multi-targeted TKIs demonstrate intrinsic resistance, with progressive disease as a best response. We conducted a retrospective cohort study to identify tumor (somatic) point mutations, insertion/deletions, and copy number alterations (CNA) associated with intrinsic resistance to multi-targeted TKIs. Using a candidate gene approach (n=243), tumor next-generation sequencing and CNA data was associated with resistant and non-resistant outcomes. Resistant individuals (n=11) more commonly harbored somatic point mutations in NTRK1, KDR, TGFBR2, and PTPN11 and CNA in CDK4, CDKN2B, and ERBB2 compared to non-resistant (n=26, p<0.01). Using a random forest classification model for variable reduction and a decision tree classification model, we were able to differentiate intrinsically resistant from non-resistant patients. CNA in CDK4 and CDKN2B were the most important analytical features, implicating the cyclin D pathway as a potentially important factor in resistance to multi-targeted TKIs. Replication of these results in a larger, independent patient cohort has potential to inform personalized prescribing of these widely utilized agents. Impact Journals LLC 2017-12-04 /pmc/articles/PMC5777758/ /pubmed/29383146 http://dx.doi.org/10.18632/oncotarget.22914 Text en Copyright: © 2017 Gillis et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Research Paper
Gillis, Nancy K.
Rotroff, Daniel M.
Mesa, Tania E.
Yao, Jiqiang
Chen, Zhihua
Carulli, Michael A.
Yoder, Sean J.
Walko, Christine M.
Teer, Jamie K.
McLeod, Howard L.
Tumor exome sequencing and copy number alterations reveal potential predictors of intrinsic resistance to multi-targeted tyrosine kinase inhibitors
title Tumor exome sequencing and copy number alterations reveal potential predictors of intrinsic resistance to multi-targeted tyrosine kinase inhibitors
title_full Tumor exome sequencing and copy number alterations reveal potential predictors of intrinsic resistance to multi-targeted tyrosine kinase inhibitors
title_fullStr Tumor exome sequencing and copy number alterations reveal potential predictors of intrinsic resistance to multi-targeted tyrosine kinase inhibitors
title_full_unstemmed Tumor exome sequencing and copy number alterations reveal potential predictors of intrinsic resistance to multi-targeted tyrosine kinase inhibitors
title_short Tumor exome sequencing and copy number alterations reveal potential predictors of intrinsic resistance to multi-targeted tyrosine kinase inhibitors
title_sort tumor exome sequencing and copy number alterations reveal potential predictors of intrinsic resistance to multi-targeted tyrosine kinase inhibitors
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5777758/
https://www.ncbi.nlm.nih.gov/pubmed/29383146
http://dx.doi.org/10.18632/oncotarget.22914
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