Cargando…
Predicting Agents That Can Overcome 5-FU Resistance in Colorectal Cancers via Pharmacogenomic Analysis
5-Fluorouracil (5-FU) is one of several chemotherapeutic agents in clinical use as a standard of care to treat colorectal cancers (CRCs). As an antimetabolite, 5-FU inhibits thymidylate synthase to disrupt the synthesis and repair of DNA and RNA. However, only a small proportion of patients benefit...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8389646/ https://www.ncbi.nlm.nih.gov/pubmed/34440086 http://dx.doi.org/10.3390/biomedicines9080882 |
_version_ | 1783742906948911104 |
---|---|
author | Huang, Tsui-Chin Peng, Kuan-Chieh Kuo, Tzu-Ting Lin, Li-Chun Liu, Bai-Chia Ye, Shu-Ping Chu, Chien-Chou Hsia, Shih-Min Chang, Hsin-Yi |
author_facet | Huang, Tsui-Chin Peng, Kuan-Chieh Kuo, Tzu-Ting Lin, Li-Chun Liu, Bai-Chia Ye, Shu-Ping Chu, Chien-Chou Hsia, Shih-Min Chang, Hsin-Yi |
author_sort | Huang, Tsui-Chin |
collection | PubMed |
description | 5-Fluorouracil (5-FU) is one of several chemotherapeutic agents in clinical use as a standard of care to treat colorectal cancers (CRCs). As an antimetabolite, 5-FU inhibits thymidylate synthase to disrupt the synthesis and repair of DNA and RNA. However, only a small proportion of patients benefit from 5-FU treatment due to the development of drug resistance. This study applied pharmacogenomic analysis using two public resources, the Genomics of Drug Sensitivity in Cancer (GDSC) and the Connectivity Map, to predict agents overcoming 5-FU resistance in CRC cells based on their genetic background or gene expression profile. Based on the genetic status of adenomatous polyposis coli (APC), the most frequent mutated gene found in CRC, we found that combining a MEK inhibitor with 5-FU exhibited synergism effects on CRC cells with APC truncations. While considering the gene expression in 5-FU resistant cells, we demonstrated that targeting ROCK is a potential avenue to restore 5-FU response to resistant cells with wild-type APC background. Our results reveal MEK signaling plays a pivotal role in loss-of-function, APC-mediated 5-FU resistance, and ROCK activation serves as a signature in APC-independent 5-FU resistance. Through the use of these available database resources, we highlight possible approaches to predict potential drugs for combinatorial therapy for patients developing resistance to 5-FU treatment. |
format | Online Article Text |
id | pubmed-8389646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83896462021-08-27 Predicting Agents That Can Overcome 5-FU Resistance in Colorectal Cancers via Pharmacogenomic Analysis Huang, Tsui-Chin Peng, Kuan-Chieh Kuo, Tzu-Ting Lin, Li-Chun Liu, Bai-Chia Ye, Shu-Ping Chu, Chien-Chou Hsia, Shih-Min Chang, Hsin-Yi Biomedicines Article 5-Fluorouracil (5-FU) is one of several chemotherapeutic agents in clinical use as a standard of care to treat colorectal cancers (CRCs). As an antimetabolite, 5-FU inhibits thymidylate synthase to disrupt the synthesis and repair of DNA and RNA. However, only a small proportion of patients benefit from 5-FU treatment due to the development of drug resistance. This study applied pharmacogenomic analysis using two public resources, the Genomics of Drug Sensitivity in Cancer (GDSC) and the Connectivity Map, to predict agents overcoming 5-FU resistance in CRC cells based on their genetic background or gene expression profile. Based on the genetic status of adenomatous polyposis coli (APC), the most frequent mutated gene found in CRC, we found that combining a MEK inhibitor with 5-FU exhibited synergism effects on CRC cells with APC truncations. While considering the gene expression in 5-FU resistant cells, we demonstrated that targeting ROCK is a potential avenue to restore 5-FU response to resistant cells with wild-type APC background. Our results reveal MEK signaling plays a pivotal role in loss-of-function, APC-mediated 5-FU resistance, and ROCK activation serves as a signature in APC-independent 5-FU resistance. Through the use of these available database resources, we highlight possible approaches to predict potential drugs for combinatorial therapy for patients developing resistance to 5-FU treatment. MDPI 2021-07-24 /pmc/articles/PMC8389646/ /pubmed/34440086 http://dx.doi.org/10.3390/biomedicines9080882 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Huang, Tsui-Chin Peng, Kuan-Chieh Kuo, Tzu-Ting Lin, Li-Chun Liu, Bai-Chia Ye, Shu-Ping Chu, Chien-Chou Hsia, Shih-Min Chang, Hsin-Yi Predicting Agents That Can Overcome 5-FU Resistance in Colorectal Cancers via Pharmacogenomic Analysis |
title | Predicting Agents That Can Overcome 5-FU Resistance in Colorectal Cancers via Pharmacogenomic Analysis |
title_full | Predicting Agents That Can Overcome 5-FU Resistance in Colorectal Cancers via Pharmacogenomic Analysis |
title_fullStr | Predicting Agents That Can Overcome 5-FU Resistance in Colorectal Cancers via Pharmacogenomic Analysis |
title_full_unstemmed | Predicting Agents That Can Overcome 5-FU Resistance in Colorectal Cancers via Pharmacogenomic Analysis |
title_short | Predicting Agents That Can Overcome 5-FU Resistance in Colorectal Cancers via Pharmacogenomic Analysis |
title_sort | predicting agents that can overcome 5-fu resistance in colorectal cancers via pharmacogenomic analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8389646/ https://www.ncbi.nlm.nih.gov/pubmed/34440086 http://dx.doi.org/10.3390/biomedicines9080882 |
work_keys_str_mv | AT huangtsuichin predictingagentsthatcanovercome5furesistanceincolorectalcancersviapharmacogenomicanalysis AT pengkuanchieh predictingagentsthatcanovercome5furesistanceincolorectalcancersviapharmacogenomicanalysis AT kuotzuting predictingagentsthatcanovercome5furesistanceincolorectalcancersviapharmacogenomicanalysis AT linlichun predictingagentsthatcanovercome5furesistanceincolorectalcancersviapharmacogenomicanalysis AT liubaichia predictingagentsthatcanovercome5furesistanceincolorectalcancersviapharmacogenomicanalysis AT yeshuping predictingagentsthatcanovercome5furesistanceincolorectalcancersviapharmacogenomicanalysis AT chuchienchou predictingagentsthatcanovercome5furesistanceincolorectalcancersviapharmacogenomicanalysis AT hsiashihmin predictingagentsthatcanovercome5furesistanceincolorectalcancersviapharmacogenomicanalysis AT changhsinyi predictingagentsthatcanovercome5furesistanceincolorectalcancersviapharmacogenomicanalysis |