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CONCORD biomarker prediction for novel drug introduction to different cancer types
Many cancer therapeutic agents have shown to be effective for treating multiple cancer types. Yet major challenges exist toward introducing a novel drug used in one cancer type to different cancer types, especially when a relatively small number of patients with the other cancer type often benefit f...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5787421/ https://www.ncbi.nlm.nih.gov/pubmed/29416679 http://dx.doi.org/10.18632/oncotarget.23124 |
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author | Kim, Youngchul Dillon, Patrick M. Park, Taesung Lee, Jae K. |
author_facet | Kim, Youngchul Dillon, Patrick M. Park, Taesung Lee, Jae K. |
author_sort | Kim, Youngchul |
collection | PubMed |
description | Many cancer therapeutic agents have shown to be effective for treating multiple cancer types. Yet major challenges exist toward introducing a novel drug used in one cancer type to different cancer types, especially when a relatively small number of patients with the other cancer type often benefit from anti-cancer therapy with the drug. Recently, many novel agents were introduced to different cancer types together with companion biomarkers which were obtained or biologically assumed from the original cancer type. However, there is no guarantee that biomarkers from one cancer can directly predict a therapeutic response in another. To tackle this challenging question, we have developed a concordant expression biomarker-based technique (“CONCORD”) that overcomes these limitations. CONCORD predicts drug responses from one cancer type to another by identifying concordantly co-expressed biomarkers across different cancer systems. Application of CONCORD to three standard chemotherapeutic agents and two targeted agents demonstrated its ability to accurately predict the effectiveness of a drug against new cancer types and predict therapeutic response in patients. |
format | Online Article Text |
id | pubmed-5787421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-57874212018-02-07 CONCORD biomarker prediction for novel drug introduction to different cancer types Kim, Youngchul Dillon, Patrick M. Park, Taesung Lee, Jae K. Oncotarget Research Paper Many cancer therapeutic agents have shown to be effective for treating multiple cancer types. Yet major challenges exist toward introducing a novel drug used in one cancer type to different cancer types, especially when a relatively small number of patients with the other cancer type often benefit from anti-cancer therapy with the drug. Recently, many novel agents were introduced to different cancer types together with companion biomarkers which were obtained or biologically assumed from the original cancer type. However, there is no guarantee that biomarkers from one cancer can directly predict a therapeutic response in another. To tackle this challenging question, we have developed a concordant expression biomarker-based technique (“CONCORD”) that overcomes these limitations. CONCORD predicts drug responses from one cancer type to another by identifying concordantly co-expressed biomarkers across different cancer systems. Application of CONCORD to three standard chemotherapeutic agents and two targeted agents demonstrated its ability to accurately predict the effectiveness of a drug against new cancer types and predict therapeutic response in patients. Impact Journals LLC 2017-12-09 /pmc/articles/PMC5787421/ /pubmed/29416679 http://dx.doi.org/10.18632/oncotarget.23124 Text en Copyright: © 2018 Kim et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Kim, Youngchul Dillon, Patrick M. Park, Taesung Lee, Jae K. CONCORD biomarker prediction for novel drug introduction to different cancer types |
title | CONCORD biomarker prediction for novel drug introduction to different cancer types |
title_full | CONCORD biomarker prediction for novel drug introduction to different cancer types |
title_fullStr | CONCORD biomarker prediction for novel drug introduction to different cancer types |
title_full_unstemmed | CONCORD biomarker prediction for novel drug introduction to different cancer types |
title_short | CONCORD biomarker prediction for novel drug introduction to different cancer types |
title_sort | concord biomarker prediction for novel drug introduction to different cancer types |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5787421/ https://www.ncbi.nlm.nih.gov/pubmed/29416679 http://dx.doi.org/10.18632/oncotarget.23124 |
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