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Characterization of the fatty acid metabolism in colorectal cancer to guide clinical therapy

Colorectal cancer (CRC) is one of the most common malignant tumors, with the second-highest mortality of all 36 cancers worldwide. The roles of fatty acid metabolism in CRC were investigated to explore potential therapeutic strategies. The data files were downloaded from The Cancer Genome Atlas (TCG...

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Autores principales: Ding, Chengsheng, Shan, Zezhi, Li, Mengcheng, Chen, Hongqi, Li, Xinxiang, Jin, Zhiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Gene & Cell Therapy 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941088/
https://www.ncbi.nlm.nih.gov/pubmed/33738339
http://dx.doi.org/10.1016/j.omto.2021.02.010
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author Ding, Chengsheng
Shan, Zezhi
Li, Mengcheng
Chen, Hongqi
Li, Xinxiang
Jin, Zhiming
author_facet Ding, Chengsheng
Shan, Zezhi
Li, Mengcheng
Chen, Hongqi
Li, Xinxiang
Jin, Zhiming
author_sort Ding, Chengsheng
collection PubMed
description Colorectal cancer (CRC) is one of the most common malignant tumors, with the second-highest mortality of all 36 cancers worldwide. The roles of fatty acid metabolism in CRC were investigated to explore potential therapeutic strategies. The data files were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Univariate and least absolute shrinkage and selection operator (LASSO) Cox regression analyses were used to construct a prognostic risk score model with fatty acid metabolism-related genes for predicting prognosis in CRC. Patients with a high-risk score had a poorer prognosis in TCGA cohort than those with a low-risk score and were confirmed in the GEO cohort. Further analysis using the “pRRophetic” R package revealed that low-risk patients were more sensitive to 5-fluorouracil. A comprehensive evaluation of the association between prognostic risk score model and tumor microenvironment (TME) characteristics showed that high-risk patients were suitable for activating a type I/II interferon (IFN) response and inflammation-promoting function. Tumor Immune Dysfunction and Exclusion (TIDE) and SubMap algorithm results also demonstrated that high-risk patients are more suitable for anti-CTLA4 immunotherapy. Therefore, the evaluation of the fatty acid metabolism pattern promotes our comprehension of TME infiltration characteristics, thus guiding effective immunotherapy regimens.
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spelling pubmed-79410882021-03-17 Characterization of the fatty acid metabolism in colorectal cancer to guide clinical therapy Ding, Chengsheng Shan, Zezhi Li, Mengcheng Chen, Hongqi Li, Xinxiang Jin, Zhiming Mol Ther Oncolytics Original Article Colorectal cancer (CRC) is one of the most common malignant tumors, with the second-highest mortality of all 36 cancers worldwide. The roles of fatty acid metabolism in CRC were investigated to explore potential therapeutic strategies. The data files were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Univariate and least absolute shrinkage and selection operator (LASSO) Cox regression analyses were used to construct a prognostic risk score model with fatty acid metabolism-related genes for predicting prognosis in CRC. Patients with a high-risk score had a poorer prognosis in TCGA cohort than those with a low-risk score and were confirmed in the GEO cohort. Further analysis using the “pRRophetic” R package revealed that low-risk patients were more sensitive to 5-fluorouracil. A comprehensive evaluation of the association between prognostic risk score model and tumor microenvironment (TME) characteristics showed that high-risk patients were suitable for activating a type I/II interferon (IFN) response and inflammation-promoting function. Tumor Immune Dysfunction and Exclusion (TIDE) and SubMap algorithm results also demonstrated that high-risk patients are more suitable for anti-CTLA4 immunotherapy. Therefore, the evaluation of the fatty acid metabolism pattern promotes our comprehension of TME infiltration characteristics, thus guiding effective immunotherapy regimens. American Society of Gene & Cell Therapy 2021-02-18 /pmc/articles/PMC7941088/ /pubmed/33738339 http://dx.doi.org/10.1016/j.omto.2021.02.010 Text en © 2021. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Ding, Chengsheng
Shan, Zezhi
Li, Mengcheng
Chen, Hongqi
Li, Xinxiang
Jin, Zhiming
Characterization of the fatty acid metabolism in colorectal cancer to guide clinical therapy
title Characterization of the fatty acid metabolism in colorectal cancer to guide clinical therapy
title_full Characterization of the fatty acid metabolism in colorectal cancer to guide clinical therapy
title_fullStr Characterization of the fatty acid metabolism in colorectal cancer to guide clinical therapy
title_full_unstemmed Characterization of the fatty acid metabolism in colorectal cancer to guide clinical therapy
title_short Characterization of the fatty acid metabolism in colorectal cancer to guide clinical therapy
title_sort characterization of the fatty acid metabolism in colorectal cancer to guide clinical therapy
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941088/
https://www.ncbi.nlm.nih.gov/pubmed/33738339
http://dx.doi.org/10.1016/j.omto.2021.02.010
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