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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Autor*in:	Chengsheng Ding [verfasserIn] Zezhi Shan [verfasserIn] Mengcheng Li [verfasserIn] Hongqi Chen [verfasserIn] Xinxiang Li [verfasserIn] Zhiming Jin [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	colorectal cancer fatty acid metabolism immune prognosis

Übergeordnetes Werk:	In: Molecular Therapy: Oncolytics - Elsevier, 2016, 20(2021), Seite 532-544
Übergeordnetes Werk:	volume:20 ; year:2021 ; pages:532-544

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.omto.2021.02.010

Katalog-ID:	DOAJ052906248

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520			\|a 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	10.1016/j.omto.2021.02.010 doi (DE-627)DOAJ052906248 (DE-599)DOAJe7b91cde57dc44c7a76ad632578630f3 DE-627 ger DE-627 rakwb eng RC254-282 Chengsheng Ding verfasserin aut Characterization of the fatty acid metabolism in colorectal cancer to guide clinical therapy 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. colorectal cancer fatty acid metabolism immune prognosis Neoplasms. Tumors. Oncology. Including cancer and carcinogens Zezhi Shan verfasserin aut Mengcheng Li verfasserin aut Hongqi Chen verfasserin aut Xinxiang Li verfasserin aut Zhiming Jin verfasserin aut In Molecular Therapy: Oncolytics Elsevier, 2016 20(2021), Seite 532-544 (DE-627)843857420 (DE-600)2842549-2 23727705 nnns volume:20 year:2021 pages:532-544 https://doi.org/10.1016/j.omto.2021.02.010 kostenfrei https://doaj.org/article/e7b91cde57dc44c7a76ad632578630f3 kostenfrei http://www.sciencedirect.com/science/article/pii/S2372770521000280 kostenfrei https://doaj.org/toc/2372-7705 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2021 532-544
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allfieldsSound	10.1016/j.omto.2021.02.010 doi (DE-627)DOAJ052906248 (DE-599)DOAJe7b91cde57dc44c7a76ad632578630f3 DE-627 ger DE-627 rakwb eng RC254-282 Chengsheng Ding verfasserin aut Characterization of the fatty acid metabolism in colorectal cancer to guide clinical therapy 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. colorectal cancer fatty acid metabolism immune prognosis Neoplasms. Tumors. Oncology. Including cancer and carcinogens Zezhi Shan verfasserin aut Mengcheng Li verfasserin aut Hongqi Chen verfasserin aut Xinxiang Li verfasserin aut Zhiming Jin verfasserin aut In Molecular Therapy: Oncolytics Elsevier, 2016 20(2021), Seite 532-544 (DE-627)843857420 (DE-600)2842549-2 23727705 nnns volume:20 year:2021 pages:532-544 https://doi.org/10.1016/j.omto.2021.02.010 kostenfrei https://doaj.org/article/e7b91cde57dc44c7a76ad632578630f3 kostenfrei http://www.sciencedirect.com/science/article/pii/S2372770521000280 kostenfrei https://doaj.org/toc/2372-7705 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2021 532-544
language	English
source	In Molecular Therapy: Oncolytics 20(2021), Seite 532-544 volume:20 year:2021 pages:532-544
sourceStr	In Molecular Therapy: Oncolytics 20(2021), Seite 532-544 volume:20 year:2021 pages:532-544
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topic_facet	colorectal cancer fatty acid metabolism immune prognosis Neoplasms. Tumors. Oncology. Including cancer and carcinogens
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container_title	Molecular Therapy: Oncolytics
authorswithroles_txt_mv	Chengsheng Ding @@aut@@ Zezhi Shan @@aut@@ Mengcheng Li @@aut@@ Hongqi Chen @@aut@@ Xinxiang Li @@aut@@ Zhiming Jin @@aut@@
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callnumber-first	R - Medicine
author	Chengsheng Ding
spellingShingle	Chengsheng Ding misc RC254-282 misc colorectal cancer misc fatty acid metabolism misc immune misc prognosis misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens Characterization of the fatty acid metabolism in colorectal cancer to guide clinical therapy
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topic_title	RC254-282 Characterization of the fatty acid metabolism in colorectal cancer to guide clinical therapy colorectal cancer fatty acid metabolism immune prognosis
topic	misc RC254-282 misc colorectal cancer misc fatty acid metabolism misc immune misc prognosis misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
topic_unstemmed	misc RC254-282 misc colorectal cancer misc fatty acid metabolism misc immune misc prognosis misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
topic_browse	misc RC254-282 misc colorectal cancer misc fatty acid metabolism misc immune misc prognosis misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
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title	Characterization of the fatty acid metabolism in colorectal cancer to guide clinical therapy
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title_full	Characterization of the fatty acid metabolism in colorectal cancer to guide clinical therapy
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title_sort	characterization of the fatty acid metabolism in colorectal cancer to guide clinical therapy
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title_auth	Characterization of the fatty acid metabolism in colorectal cancer to guide clinical therapy
abstract	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.
abstractGer	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.
abstract_unstemmed	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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title_short	Characterization of the fatty acid metabolism in colorectal cancer to guide clinical therapy
url	https://doi.org/10.1016/j.omto.2021.02.010 https://doaj.org/article/e7b91cde57dc44c7a76ad632578630f3 http://www.sciencedirect.com/science/article/pii/S2372770521000280 https://doaj.org/toc/2372-7705
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