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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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Detalles Bibliográficos
Autores principales: Lee, Sunjae, Lee, KiYoung, Yoon, Seyeol, Lee, Jae W., Lee, Doheon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4178056/
https://www.ncbi.nlm.nih.gov/pubmed/25259881
http://dx.doi.org/10.1371/journal.pone.0107925
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author Lee, Sunjae
Lee, KiYoung
Yoon, Seyeol
Lee, Jae W.
Lee, Doheon
author_facet Lee, Sunjae
Lee, KiYoung
Yoon, Seyeol
Lee, Jae W.
Lee, Doheon
author_sort Lee, Sunjae
collection PubMed
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.
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spelling pubmed-41780562014-10-02 Anomalies in Network Bridges Involved in Bile Acid Metabolism Predict Outcomes of Colorectal Cancer Patients Lee, Sunjae Lee, KiYoung Yoon, Seyeol Lee, Jae W. Lee, Doheon PLoS One Research Article 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. Public Library of Science 2014-09-26 /pmc/articles/PMC4178056/ /pubmed/25259881 http://dx.doi.org/10.1371/journal.pone.0107925 Text en © 2014 Lee et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lee, Sunjae
Lee, KiYoung
Yoon, Seyeol
Lee, Jae W.
Lee, Doheon
Anomalies in Network Bridges Involved in Bile Acid Metabolism Predict Outcomes of Colorectal Cancer Patients
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4178056/
https://www.ncbi.nlm.nih.gov/pubmed/25259881
http://dx.doi.org/10.1371/journal.pone.0107925
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