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Development of a precision medicine pipeline to identify personalized treatments for colorectal cancer
BACKGROUND: Metastatic colorectal cancer (CRC) continues to be a major health problem, and current treatments are primarily for disease control and palliation of symptoms. In this study, we developed a precision medicine strategy to discover novel therapeutics for patients with CRC. METHODS: Six mat...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7313200/ https://www.ncbi.nlm.nih.gov/pubmed/32580713 http://dx.doi.org/10.1186/s12885-020-07090-y |
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author | Altunel, Erdem Roghani, Roham S. Chen, Kai-Yuan Kim, So Young McCall, Shannon Ware, Kathryn E. Shen, Xiling Somarelli, Jason A. Hsu, David S. |
author_facet | Altunel, Erdem Roghani, Roham S. Chen, Kai-Yuan Kim, So Young McCall, Shannon Ware, Kathryn E. Shen, Xiling Somarelli, Jason A. Hsu, David S. |
author_sort | Altunel, Erdem |
collection | PubMed |
description | BACKGROUND: Metastatic colorectal cancer (CRC) continues to be a major health problem, and current treatments are primarily for disease control and palliation of symptoms. In this study, we developed a precision medicine strategy to discover novel therapeutics for patients with CRC. METHODS: Six matched low-passage cell lines and patient-derived xenografts (PDX) were established from CRC patients undergoing resection of their cancer. High-throughput drug screens using a 119 FDA-approved oncology drug library were performed on these cell lines, which were then validated in vivo in matched PDXs. RNA-Seq analysis was then performed to identify predictors of response. RESULTS: Our study revealed marked differences in response to standard-of-care agents across patients and pinpointed druggable pathways to treat CRC. Among these pathways co-targeting of fibroblast growth factor receptor (FGFR), SRC, platelet derived growth factor receptor (PDGFR), or vascular endothelial growth factor receptor (VEGFR) signaling was found to be an effective strategy. Molecular analyses revealed potential predictors of response to these druggable pathways. CONCLUSIONS: Our data suggests that the use of matched low-passage cell lines and PDXs is a promising strategy to identify new therapies and pathways to treat metastatic CRC. |
format | Online Article Text |
id | pubmed-7313200 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73132002020-06-24 Development of a precision medicine pipeline to identify personalized treatments for colorectal cancer Altunel, Erdem Roghani, Roham S. Chen, Kai-Yuan Kim, So Young McCall, Shannon Ware, Kathryn E. Shen, Xiling Somarelli, Jason A. Hsu, David S. BMC Cancer Research Article BACKGROUND: Metastatic colorectal cancer (CRC) continues to be a major health problem, and current treatments are primarily for disease control and palliation of symptoms. In this study, we developed a precision medicine strategy to discover novel therapeutics for patients with CRC. METHODS: Six matched low-passage cell lines and patient-derived xenografts (PDX) were established from CRC patients undergoing resection of their cancer. High-throughput drug screens using a 119 FDA-approved oncology drug library were performed on these cell lines, which were then validated in vivo in matched PDXs. RNA-Seq analysis was then performed to identify predictors of response. RESULTS: Our study revealed marked differences in response to standard-of-care agents across patients and pinpointed druggable pathways to treat CRC. Among these pathways co-targeting of fibroblast growth factor receptor (FGFR), SRC, platelet derived growth factor receptor (PDGFR), or vascular endothelial growth factor receptor (VEGFR) signaling was found to be an effective strategy. Molecular analyses revealed potential predictors of response to these druggable pathways. CONCLUSIONS: Our data suggests that the use of matched low-passage cell lines and PDXs is a promising strategy to identify new therapies and pathways to treat metastatic CRC. BioMed Central 2020-06-24 /pmc/articles/PMC7313200/ /pubmed/32580713 http://dx.doi.org/10.1186/s12885-020-07090-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Altunel, Erdem Roghani, Roham S. Chen, Kai-Yuan Kim, So Young McCall, Shannon Ware, Kathryn E. Shen, Xiling Somarelli, Jason A. Hsu, David S. Development of a precision medicine pipeline to identify personalized treatments for colorectal cancer |
title | Development of a precision medicine pipeline to identify personalized treatments for colorectal cancer |
title_full | Development of a precision medicine pipeline to identify personalized treatments for colorectal cancer |
title_fullStr | Development of a precision medicine pipeline to identify personalized treatments for colorectal cancer |
title_full_unstemmed | Development of a precision medicine pipeline to identify personalized treatments for colorectal cancer |
title_short | Development of a precision medicine pipeline to identify personalized treatments for colorectal cancer |
title_sort | development of a precision medicine pipeline to identify personalized treatments for colorectal cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7313200/ https://www.ncbi.nlm.nih.gov/pubmed/32580713 http://dx.doi.org/10.1186/s12885-020-07090-y |
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