Cargando…

Identifying colon cancer stage related genes and their cellular pathways

In the world, colon cancer is regarded as one of the most common deadly cancer. Due to the lack of a better understanding of its prognosis system, this prevailing cancer has the second-highest morbidity and mortality rate compared with other cancers. A variety of genes are responsible to participate...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Bolin, Chakrobortty, Nandita, Saha, Apu Kumar, Shang, Xuequn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893497/
https://www.ncbi.nlm.nih.gov/pubmed/36741325
http://dx.doi.org/10.3389/fgene.2023.1120185
_version_ 1784881540401987584
author Chen, Bolin
Chakrobortty, Nandita
Saha, Apu Kumar
Shang, Xuequn
author_facet Chen, Bolin
Chakrobortty, Nandita
Saha, Apu Kumar
Shang, Xuequn
author_sort Chen, Bolin
collection PubMed
description In the world, colon cancer is regarded as one of the most common deadly cancer. Due to the lack of a better understanding of its prognosis system, this prevailing cancer has the second-highest morbidity and mortality rate compared with other cancers. A variety of genes are responsible to participate in colon cancer and the molecular mechanism is almost unsure. In addition, various studies have been done to identify the differentially expressed genes to investigate the dysfunctions of the genes but most of them did it individually. In this study, we constructed a functional interaction network for identifying the group of genes that conduct cellular functions and Protein-Protein Interaction network, which aims to better understanding protein functions and their biological relationships. A functional evolution network was also generated to analyze the dysfunctions from initial stage to later stage of colon cancer by investigating the gene modules and their molecular functions. The results show that the proposed evolution network is able to detect the significant cellular functions, which can be used to explore the evolution process of colon cancer. Moreover, a total of 10 core genes associated with colon cancer were identified, which were INS, SNAP25, GRIA2, SST, GCG, PVALB, SLC17A7, SLC32A1, SLC17A6, and NPY, respectively. The responsible candidate genes and corresponding pathways presented in this study could be used to develop new tumor indicators and novel therapeutic targets for the prevention and treatment of colon cancer.
format Online
Article
Text
id pubmed-9893497
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-98934972023-02-03 Identifying colon cancer stage related genes and their cellular pathways Chen, Bolin Chakrobortty, Nandita Saha, Apu Kumar Shang, Xuequn Front Genet Genetics In the world, colon cancer is regarded as one of the most common deadly cancer. Due to the lack of a better understanding of its prognosis system, this prevailing cancer has the second-highest morbidity and mortality rate compared with other cancers. A variety of genes are responsible to participate in colon cancer and the molecular mechanism is almost unsure. In addition, various studies have been done to identify the differentially expressed genes to investigate the dysfunctions of the genes but most of them did it individually. In this study, we constructed a functional interaction network for identifying the group of genes that conduct cellular functions and Protein-Protein Interaction network, which aims to better understanding protein functions and their biological relationships. A functional evolution network was also generated to analyze the dysfunctions from initial stage to later stage of colon cancer by investigating the gene modules and their molecular functions. The results show that the proposed evolution network is able to detect the significant cellular functions, which can be used to explore the evolution process of colon cancer. Moreover, a total of 10 core genes associated with colon cancer were identified, which were INS, SNAP25, GRIA2, SST, GCG, PVALB, SLC17A7, SLC32A1, SLC17A6, and NPY, respectively. The responsible candidate genes and corresponding pathways presented in this study could be used to develop new tumor indicators and novel therapeutic targets for the prevention and treatment of colon cancer. Frontiers Media S.A. 2023-01-19 /pmc/articles/PMC9893497/ /pubmed/36741325 http://dx.doi.org/10.3389/fgene.2023.1120185 Text en Copyright © 2023 Chen, Chakrobortty, Saha and Shang. 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
Chen, Bolin
Chakrobortty, Nandita
Saha, Apu Kumar
Shang, Xuequn
Identifying colon cancer stage related genes and their cellular pathways
title Identifying colon cancer stage related genes and their cellular pathways
title_full Identifying colon cancer stage related genes and their cellular pathways
title_fullStr Identifying colon cancer stage related genes and their cellular pathways
title_full_unstemmed Identifying colon cancer stage related genes and their cellular pathways
title_short Identifying colon cancer stage related genes and their cellular pathways
title_sort identifying colon cancer stage related genes and their cellular pathways
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893497/
https://www.ncbi.nlm.nih.gov/pubmed/36741325
http://dx.doi.org/10.3389/fgene.2023.1120185
work_keys_str_mv AT chenbolin identifyingcoloncancerstagerelatedgenesandtheircellularpathways
AT chakroborttynandita identifyingcoloncancerstagerelatedgenesandtheircellularpathways
AT sahaapukumar identifyingcoloncancerstagerelatedgenesandtheircellularpathways
AT shangxuequn identifyingcoloncancerstagerelatedgenesandtheircellularpathways