Untargeted GC-MS-Based Metabolomics for Early Detection of Colorectal Cancer

BackgroundColorectal cancer (CRC) is one of the most common malignant gastrointestinal cancers in the world with a 5-year survival rate of approximately 68%. Although researchers accumulated many scientific studies, its pathogenesis remains unclear yet. Detecting and removing these malignant polyps...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Guoxue Zhu, Yi Wang, Wang Wang, Fang Shang, Bin Pei, Yang Zhao, Desong Kong, Zhimin Fan
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	colorectal cancer metabolomics GC-MS cancer tissue and paracarcinoma tissue preoperative and postoperative serum Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/ea4032f26b144e96ba81d1b0c191cb7c
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:ea4032f26b144e96ba81d1b0c191cb7c
record_format	dspace
spelling	oai:doaj.org-article:ea4032f26b144e96ba81d1b0c191cb7c2021-11-04T05:59:56ZUntargeted GC-MS-Based Metabolomics for Early Detection of Colorectal Cancer2234-943X10.3389/fonc.2021.729512https://doaj.org/article/ea4032f26b144e96ba81d1b0c191cb7c2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fonc.2021.729512/fullhttps://doaj.org/toc/2234-943XBackgroundColorectal cancer (CRC) is one of the most common malignant gastrointestinal cancers in the world with a 5-year survival rate of approximately 68%. Although researchers accumulated many scientific studies, its pathogenesis remains unclear yet. Detecting and removing these malignant polyps promptly is the most effective method in CRC prevention. Therefore, the analysis and disposal of malignant polyps is conducive to preventing CRC.MethodsIn the study, metabolic profiling as well as diagnostic biomarkers for CRC was investigated using untargeted GC-MS-based metabolomics methods to explore the intervention approaches. In order to better characterize the variations of tissue and serum metabolic profiles, orthogonal partial least-square discriminant analysis was carried out to further identify significant features. The key differences in tR–m/z pairs were screened by the S-plot and VIP value from OPLS-DA. Identified potential biomarkers were leading in the KEGG in finding interactions, which show the relationships among these signal pathways.ResultsFinally, 17 tissue and 13 serum candidate ions were selected based on their corresponding retention time, p-value, m/z, and VIP value. Simultaneously, the most influential pathways contributing to CRC were inositol phosphate metabolism, primary bile acid biosynthesis, phosphatidylinositol signaling system, and linoleic acid metabolism.ConclusionsThe preliminary results suggest that the GC-MS-based method coupled with the pattern recognition method and understanding these cancer-specific alterations could make it possible to detect CRC early and aid in the development of additional treatments for the disease, leading to improvements in CRC patients’ quality of life.Guoxue ZhuYi WangWang WangFang ShangBin PeiYang ZhaoDesong KongZhimin FanFrontiers Media S.A.articlecolorectal cancermetabolomicsGC-MScancer tissue and paracarcinoma tissuepreoperative and postoperative serumNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENFrontiers in Oncology, Vol 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	colorectal cancer metabolomics GC-MS cancer tissue and paracarcinoma tissue preoperative and postoperative serum Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	colorectal cancer metabolomics GC-MS cancer tissue and paracarcinoma tissue preoperative and postoperative serum Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Guoxue Zhu Yi Wang Wang Wang Fang Shang Bin Pei Yang Zhao Desong Kong Zhimin Fan Untargeted GC-MS-Based Metabolomics for Early Detection of Colorectal Cancer
description	BackgroundColorectal cancer (CRC) is one of the most common malignant gastrointestinal cancers in the world with a 5-year survival rate of approximately 68%. Although researchers accumulated many scientific studies, its pathogenesis remains unclear yet. Detecting and removing these malignant polyps promptly is the most effective method in CRC prevention. Therefore, the analysis and disposal of malignant polyps is conducive to preventing CRC.MethodsIn the study, metabolic profiling as well as diagnostic biomarkers for CRC was investigated using untargeted GC-MS-based metabolomics methods to explore the intervention approaches. In order to better characterize the variations of tissue and serum metabolic profiles, orthogonal partial least-square discriminant analysis was carried out to further identify significant features. The key differences in tR–m/z pairs were screened by the S-plot and VIP value from OPLS-DA. Identified potential biomarkers were leading in the KEGG in finding interactions, which show the relationships among these signal pathways.ResultsFinally, 17 tissue and 13 serum candidate ions were selected based on their corresponding retention time, p-value, m/z, and VIP value. Simultaneously, the most influential pathways contributing to CRC were inositol phosphate metabolism, primary bile acid biosynthesis, phosphatidylinositol signaling system, and linoleic acid metabolism.ConclusionsThe preliminary results suggest that the GC-MS-based method coupled with the pattern recognition method and understanding these cancer-specific alterations could make it possible to detect CRC early and aid in the development of additional treatments for the disease, leading to improvements in CRC patients’ quality of life.
format	article
author	Guoxue Zhu Yi Wang Wang Wang Fang Shang Bin Pei Yang Zhao Desong Kong Zhimin Fan
author_facet	Guoxue Zhu Yi Wang Wang Wang Fang Shang Bin Pei Yang Zhao Desong Kong Zhimin Fan
author_sort	Guoxue Zhu
title	Untargeted GC-MS-Based Metabolomics for Early Detection of Colorectal Cancer
title_short	Untargeted GC-MS-Based Metabolomics for Early Detection of Colorectal Cancer
title_full	Untargeted GC-MS-Based Metabolomics for Early Detection of Colorectal Cancer
title_fullStr	Untargeted GC-MS-Based Metabolomics for Early Detection of Colorectal Cancer
title_full_unstemmed	Untargeted GC-MS-Based Metabolomics for Early Detection of Colorectal Cancer
title_sort	untargeted gc-ms-based metabolomics for early detection of colorectal cancer
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/ea4032f26b144e96ba81d1b0c191cb7c
work_keys_str_mv	AT guoxuezhu untargetedgcmsbasedmetabolomicsforearlydetectionofcolorectalcancer AT yiwang untargetedgcmsbasedmetabolomicsforearlydetectionofcolorectalcancer AT wangwang untargetedgcmsbasedmetabolomicsforearlydetectionofcolorectalcancer AT fangshang untargetedgcmsbasedmetabolomicsforearlydetectionofcolorectalcancer AT binpei untargetedgcmsbasedmetabolomicsforearlydetectionofcolorectalcancer AT yangzhao untargetedgcmsbasedmetabolomicsforearlydetectionofcolorectalcancer AT desongkong untargetedgcmsbasedmetabolomicsforearlydetectionofcolorectalcancer AT zhiminfan untargetedgcmsbasedmetabolomicsforearlydetectionofcolorectalcancer
_version_	1718445184591593472

Untargeted GC-MS-Based Metabolomics for Early Detection of Colorectal Cancer

Ejemplares similares