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Alterations in Gene Pair Correlations as Potential Diagnostic Markers for Colon Cancer

Colorectal cancer (CRC) is a leading cause of death from cancer in Canada. Early detection of CRC remains crucial in managing disease prognosis and improving patient survival. It can also facilitate prevention, screening, and treatment before the disease progresses to a chronic stage. In this study,...

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Detalles Bibliográficos
Autores principales: Yang, Bonnie Yang, Sakharkar, Meena Kishore
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604343/
https://www.ncbi.nlm.nih.gov/pubmed/36293321
http://dx.doi.org/10.3390/ijms232012463
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author Yang, Bonnie Yang
Sakharkar, Meena Kishore
author_facet Yang, Bonnie Yang
Sakharkar, Meena Kishore
author_sort Yang, Bonnie Yang
collection PubMed
description Colorectal cancer (CRC) is a leading cause of death from cancer in Canada. Early detection of CRC remains crucial in managing disease prognosis and improving patient survival. It can also facilitate prevention, screening, and treatment before the disease progresses to a chronic stage. In this study, we developed a strategy for identifying colon cancer biomarkers from both gene expression and gene pair correlation. Using the RNA-Seq dataset TCGA-COAD, a panel of 71 genes, including the 20 most upregulated genes, 20 most downregulated genes and 31 genes involved in the most significantly altered gene pairs, were selected as potential biomarkers for colon cancer. This signature set of genes could be used for early diagnosis. Furthermore, this strategy could be applied to other types of cancer.
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spelling pubmed-96043432022-10-27 Alterations in Gene Pair Correlations as Potential Diagnostic Markers for Colon Cancer Yang, Bonnie Yang Sakharkar, Meena Kishore Int J Mol Sci Article Colorectal cancer (CRC) is a leading cause of death from cancer in Canada. Early detection of CRC remains crucial in managing disease prognosis and improving patient survival. It can also facilitate prevention, screening, and treatment before the disease progresses to a chronic stage. In this study, we developed a strategy for identifying colon cancer biomarkers from both gene expression and gene pair correlation. Using the RNA-Seq dataset TCGA-COAD, a panel of 71 genes, including the 20 most upregulated genes, 20 most downregulated genes and 31 genes involved in the most significantly altered gene pairs, were selected as potential biomarkers for colon cancer. This signature set of genes could be used for early diagnosis. Furthermore, this strategy could be applied to other types of cancer. MDPI 2022-10-18 /pmc/articles/PMC9604343/ /pubmed/36293321 http://dx.doi.org/10.3390/ijms232012463 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yang, Bonnie Yang
Sakharkar, Meena Kishore
Alterations in Gene Pair Correlations as Potential Diagnostic Markers for Colon Cancer
title Alterations in Gene Pair Correlations as Potential Diagnostic Markers for Colon Cancer
title_full Alterations in Gene Pair Correlations as Potential Diagnostic Markers for Colon Cancer
title_fullStr Alterations in Gene Pair Correlations as Potential Diagnostic Markers for Colon Cancer
title_full_unstemmed Alterations in Gene Pair Correlations as Potential Diagnostic Markers for Colon Cancer
title_short Alterations in Gene Pair Correlations as Potential Diagnostic Markers for Colon Cancer
title_sort alterations in gene pair correlations as potential diagnostic markers for colon cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604343/
https://www.ncbi.nlm.nih.gov/pubmed/36293321
http://dx.doi.org/10.3390/ijms232012463
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