Anomalies in network bridges involved in bile Acid metabolism predict outcomes of colorectal cancer patients.

Biomarkers prognostic for colorectal cancer (CRC) would be highly desirable in clinical practice. Proteins that regulate bile acid (BA) homeostasis, by linking metabolic sensors and metabolic enzymes, also called bridge proteins, may be reliable prognostic biomarkers for CRC. Based on a devised metr...

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Autores principales:	Sunjae Lee, KiYoung Lee, Seyeol Yoon, Jae W Lee, Doheon Lee
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d1c0f36eb91e4408aeae9a8c5f1b76d8
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spelling	oai:doaj.org-article:d1c0f36eb91e4408aeae9a8c5f1b76d82021-11-25T05:59:11ZAnomalies in network bridges involved in bile Acid metabolism predict outcomes of colorectal cancer patients.1932-620310.1371/journal.pone.0107925https://doaj.org/article/d1c0f36eb91e4408aeae9a8c5f1b76d82014-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0107925https://doaj.org/toc/1932-6203Biomarkers prognostic for colorectal cancer (CRC) would be highly desirable in clinical practice. Proteins that regulate bile acid (BA) homeostasis, by linking metabolic sensors and metabolic enzymes, also called bridge proteins, may be reliable prognostic biomarkers for CRC. Based on a devised metric, "bridgeness," we identified bridge proteins involved in the regulation of BA homeostasis and identified their prognostic potentials. The expression patterns of these bridge proteins could distinguish between normal and diseased tissues, suggesting that these proteins are associated with CRC pathogenesis. Using a supervised classification system, we found that these bridge proteins were reproducibly prognostic, with high prognostic ability compared to other known markers.Sunjae LeeKiYoung LeeSeyeol YoonJae W LeeDoheon LeePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 9, p e107925 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sunjae Lee KiYoung Lee Seyeol Yoon Jae W Lee Doheon Lee Anomalies in network bridges involved in bile Acid metabolism predict outcomes of colorectal cancer patients.
description	Biomarkers prognostic for colorectal cancer (CRC) would be highly desirable in clinical practice. Proteins that regulate bile acid (BA) homeostasis, by linking metabolic sensors and metabolic enzymes, also called bridge proteins, may be reliable prognostic biomarkers for CRC. Based on a devised metric, "bridgeness," we identified bridge proteins involved in the regulation of BA homeostasis and identified their prognostic potentials. The expression patterns of these bridge proteins could distinguish between normal and diseased tissues, suggesting that these proteins are associated with CRC pathogenesis. Using a supervised classification system, we found that these bridge proteins were reproducibly prognostic, with high prognostic ability compared to other known markers.
format	article
author	Sunjae Lee KiYoung Lee Seyeol Yoon Jae W Lee Doheon Lee
author_facet	Sunjae Lee KiYoung Lee Seyeol Yoon Jae W Lee Doheon Lee
author_sort	Sunjae Lee
title	Anomalies in network bridges involved in bile Acid metabolism predict outcomes of colorectal cancer patients.
title_short	Anomalies in network bridges involved in bile Acid metabolism predict outcomes of colorectal cancer patients.
title_full	Anomalies in network bridges involved in bile Acid metabolism predict outcomes of colorectal cancer patients.
title_fullStr	Anomalies in network bridges involved in bile Acid metabolism predict outcomes of colorectal cancer patients.
title_full_unstemmed	Anomalies in network bridges involved in bile Acid metabolism predict outcomes of colorectal cancer patients.
title_sort	anomalies in network bridges involved in bile acid metabolism predict outcomes of colorectal cancer patients.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/d1c0f36eb91e4408aeae9a8c5f1b76d8
work_keys_str_mv	AT sunjaelee anomaliesinnetworkbridgesinvolvedinbileacidmetabolismpredictoutcomesofcolorectalcancerpatients AT kiyounglee anomaliesinnetworkbridgesinvolvedinbileacidmetabolismpredictoutcomesofcolorectalcancerpatients AT seyeolyoon anomaliesinnetworkbridgesinvolvedinbileacidmetabolismpredictoutcomesofcolorectalcancerpatients AT jaewlee anomaliesinnetworkbridgesinvolvedinbileacidmetabolismpredictoutcomesofcolorectalcancerpatients AT doheonlee anomaliesinnetworkbridgesinvolvedinbileacidmetabolismpredictoutcomesofcolorectalcancerpatients
_version_	1718414307714138112

Anomalies in network bridges involved in bile Acid metabolism predict outcomes of colorectal cancer patients.

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