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Identification of key claudin genes associated with survival prognosis and diagnosis in colon cancer through integrated bioinformatic analysis

The claudin multigene family is associated with various aberrant physiological and cellular signaling pathways. However, the association of claudins with survival prognosis, signaling pathways, and diagnostic efficacy in colon cancer remains poorly understood. Methods: Through the effective utilizat...

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Autores principales: Alghamdi, Rana A., Al-Zahrani, Maryam H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550083/
https://www.ncbi.nlm.nih.gov/pubmed/37799140
http://dx.doi.org/10.3389/fgene.2023.1221815
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author Alghamdi, Rana A.
Al-Zahrani, Maryam H.
author_facet Alghamdi, Rana A.
Al-Zahrani, Maryam H.
author_sort Alghamdi, Rana A.
collection PubMed
description The claudin multigene family is associated with various aberrant physiological and cellular signaling pathways. However, the association of claudins with survival prognosis, signaling pathways, and diagnostic efficacy in colon cancer remains poorly understood. Methods: Through the effective utilization of various bioinformatics methods, including differential gene expression analysis, gene set enrichment analysis protein-protein interaction (PPI) network analysis, survival analysis, single sample gene set enrichment analysis (ssGSEA), mutational variance analysis, and identifying receiver operating characteristic curve of claudins in The Cancer Genome Atlas colon adenocarcinoma (COAD). Results: We found that: CLDN2, CLDN1, CLDN14, CLDN16, CLDN18, CLDN9, CLDN12, and CLDN6 are elevated in COAD. In contrast, the CLDN8, CLDN23, CLDN5, CLDN11, CLDN7, and CLDN15 are downregulated in COAD. By analyzing the public datasets GSE15781 and GSE50760 from NCBI-GEO (https://www.ncbi.nlm.nih.gov/geo/), we have confirmed that CLDN1, CLDN2, and CLDN14 are significantly upregulated and CLDN8 and CLDN23 are significantly downregulated in normal colon, colon adenocarcinoma tumor, and liver metastasis of colon adenocarcinoma tissues from human samples. Various claudins are mutated and found to be associated with diagnostic efficacy in COAD. Conclusion: The claudin gene family is associated with prognosis, immune regulation, signaling pathway regulations, and diagnosis of COAD. These findings may provide new molecular insight into claudins in the treatment of colon cancer.
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spelling pubmed-105500832023-10-05 Identification of key claudin genes associated with survival prognosis and diagnosis in colon cancer through integrated bioinformatic analysis Alghamdi, Rana A. Al-Zahrani, Maryam H. Front Genet Genetics The claudin multigene family is associated with various aberrant physiological and cellular signaling pathways. However, the association of claudins with survival prognosis, signaling pathways, and diagnostic efficacy in colon cancer remains poorly understood. Methods: Through the effective utilization of various bioinformatics methods, including differential gene expression analysis, gene set enrichment analysis protein-protein interaction (PPI) network analysis, survival analysis, single sample gene set enrichment analysis (ssGSEA), mutational variance analysis, and identifying receiver operating characteristic curve of claudins in The Cancer Genome Atlas colon adenocarcinoma (COAD). Results: We found that: CLDN2, CLDN1, CLDN14, CLDN16, CLDN18, CLDN9, CLDN12, and CLDN6 are elevated in COAD. In contrast, the CLDN8, CLDN23, CLDN5, CLDN11, CLDN7, and CLDN15 are downregulated in COAD. By analyzing the public datasets GSE15781 and GSE50760 from NCBI-GEO (https://www.ncbi.nlm.nih.gov/geo/), we have confirmed that CLDN1, CLDN2, and CLDN14 are significantly upregulated and CLDN8 and CLDN23 are significantly downregulated in normal colon, colon adenocarcinoma tumor, and liver metastasis of colon adenocarcinoma tissues from human samples. Various claudins are mutated and found to be associated with diagnostic efficacy in COAD. Conclusion: The claudin gene family is associated with prognosis, immune regulation, signaling pathway regulations, and diagnosis of COAD. These findings may provide new molecular insight into claudins in the treatment of colon cancer. Frontiers Media S.A. 2023-09-19 /pmc/articles/PMC10550083/ /pubmed/37799140 http://dx.doi.org/10.3389/fgene.2023.1221815 Text en Copyright © 2023 Alghamdi and Al-Zahrani. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Alghamdi, Rana A.
Al-Zahrani, Maryam H.
Identification of key claudin genes associated with survival prognosis and diagnosis in colon cancer through integrated bioinformatic analysis
title Identification of key claudin genes associated with survival prognosis and diagnosis in colon cancer through integrated bioinformatic analysis
title_full Identification of key claudin genes associated with survival prognosis and diagnosis in colon cancer through integrated bioinformatic analysis
title_fullStr Identification of key claudin genes associated with survival prognosis and diagnosis in colon cancer through integrated bioinformatic analysis
title_full_unstemmed Identification of key claudin genes associated with survival prognosis and diagnosis in colon cancer through integrated bioinformatic analysis
title_short Identification of key claudin genes associated with survival prognosis and diagnosis in colon cancer through integrated bioinformatic analysis
title_sort identification of key claudin genes associated with survival prognosis and diagnosis in colon cancer through integrated bioinformatic analysis
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550083/
https://www.ncbi.nlm.nih.gov/pubmed/37799140
http://dx.doi.org/10.3389/fgene.2023.1221815
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