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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,...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9604343 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT yangbonnieyang alterationsingenepaircorrelationsaspotentialdiagnosticmarkersforcoloncancer AT sakharkarmeenakishore alterationsingenepaircorrelationsaspotentialdiagnosticmarkersforcoloncancer |