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...
Autores principales: | , , , |
---|---|
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 |