Cargando…
The possible role of SRMS in colorectal cancer by bioinformatics analysis
BACKGROUND: Src-related kinase lacking C-terminal regulatory tyrosine and N-terminal myristoylation sites (SRMS) is a non-receptor tyrosine kinase that has been found to be overexpressed in various tumors. However, the role of SRMS in colorectal cancer (CRC) has not been well established. METHODS: W...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594183/ https://www.ncbi.nlm.nih.gov/pubmed/34781983 http://dx.doi.org/10.1186/s12957-021-02431-y |
_version_ | 1784599916168871936 |
---|---|
author | Zhang, Jie Liu, Weidong Feng, Sisi Zhong, Baiyun |
author_facet | Zhang, Jie Liu, Weidong Feng, Sisi Zhong, Baiyun |
author_sort | Zhang, Jie |
collection | PubMed |
description | BACKGROUND: Src-related kinase lacking C-terminal regulatory tyrosine and N-terminal myristoylation sites (SRMS) is a non-receptor tyrosine kinase that has been found to be overexpressed in various tumors. However, the role of SRMS in colorectal cancer (CRC) has not been well established. METHODS: We evaluated the expression levels of SRMS in CRC using GEPIA, Oncomine, and HPA datasets. Survival information and gene expression data of CRC were obtained from The Cancer Genome Atlas (TCGA). Then, the association between SRMS and clinicopathological features was analyzed using UALCAN dataset. LinkedOmics was used to determine co-expression and functional networks associated with SRMS. Besides, we used TISIDB to assess the correlation between SRMS and immune signatures, including tumor-infiltrating immune cells and immunomodulators. Lastly, protein-protein interaction network (PPI) was established and the function enrichment analysis of the SRMS-associated immunomodulators and immune cell marker genes were performed using the STRING portal. RESULTS: Compared to normal colorectal tissues, SRMS was found to be overexpressed in CRC tissues, which was correlated with a poor prognosis. In colon adenocarcinoma (COAD), the expression levels of SRMS are significantly correlated with pathological stages and nodal metastasis status. Functional network analysis suggested that SRMS regulates intermediate filament-based processes, protein autophosphorylation, translational initiation, and elongation signaling through pathways involving ribosomes, proteasomes, oxidative phosphorylation, and DNA replication. In addition, SRMS expression was correlated with infiltrating levels of CD4+ T cells, CD56dim, MEM B, Neutrophils, Th2, Th17, and Act DC. The gene ontology (GO) analysis of SRMS-associated immunomodulators and immune cell marker genes showed that they were mainly enriched in the immune microenvironment molecule-related signals. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of these genes indicated that they are involved in multiple cancer-related pathways. CONCLUSIONS: SRMS is a promising prognostic biomarker and potential therapeutic target for CRC patients. In particular, SRMS regulates CRC progression by modulating cytokine-cytokine receptor interaction, chemokines, IL-17, and intestinal immune networks for IgA production signaling pathways among others. However, more studies are needed to validate these findings. |
format | Online Article Text |
id | pubmed-8594183 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85941832021-11-16 The possible role of SRMS in colorectal cancer by bioinformatics analysis Zhang, Jie Liu, Weidong Feng, Sisi Zhong, Baiyun World J Surg Oncol Research BACKGROUND: Src-related kinase lacking C-terminal regulatory tyrosine and N-terminal myristoylation sites (SRMS) is a non-receptor tyrosine kinase that has been found to be overexpressed in various tumors. However, the role of SRMS in colorectal cancer (CRC) has not been well established. METHODS: We evaluated the expression levels of SRMS in CRC using GEPIA, Oncomine, and HPA datasets. Survival information and gene expression data of CRC were obtained from The Cancer Genome Atlas (TCGA). Then, the association between SRMS and clinicopathological features was analyzed using UALCAN dataset. LinkedOmics was used to determine co-expression and functional networks associated with SRMS. Besides, we used TISIDB to assess the correlation between SRMS and immune signatures, including tumor-infiltrating immune cells and immunomodulators. Lastly, protein-protein interaction network (PPI) was established and the function enrichment analysis of the SRMS-associated immunomodulators and immune cell marker genes were performed using the STRING portal. RESULTS: Compared to normal colorectal tissues, SRMS was found to be overexpressed in CRC tissues, which was correlated with a poor prognosis. In colon adenocarcinoma (COAD), the expression levels of SRMS are significantly correlated with pathological stages and nodal metastasis status. Functional network analysis suggested that SRMS regulates intermediate filament-based processes, protein autophosphorylation, translational initiation, and elongation signaling through pathways involving ribosomes, proteasomes, oxidative phosphorylation, and DNA replication. In addition, SRMS expression was correlated with infiltrating levels of CD4+ T cells, CD56dim, MEM B, Neutrophils, Th2, Th17, and Act DC. The gene ontology (GO) analysis of SRMS-associated immunomodulators and immune cell marker genes showed that they were mainly enriched in the immune microenvironment molecule-related signals. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of these genes indicated that they are involved in multiple cancer-related pathways. CONCLUSIONS: SRMS is a promising prognostic biomarker and potential therapeutic target for CRC patients. In particular, SRMS regulates CRC progression by modulating cytokine-cytokine receptor interaction, chemokines, IL-17, and intestinal immune networks for IgA production signaling pathways among others. However, more studies are needed to validate these findings. BioMed Central 2021-11-16 /pmc/articles/PMC8594183/ /pubmed/34781983 http://dx.doi.org/10.1186/s12957-021-02431-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhang, Jie Liu, Weidong Feng, Sisi Zhong, Baiyun The possible role of SRMS in colorectal cancer by bioinformatics analysis |
title | The possible role of SRMS in colorectal cancer by bioinformatics analysis |
title_full | The possible role of SRMS in colorectal cancer by bioinformatics analysis |
title_fullStr | The possible role of SRMS in colorectal cancer by bioinformatics analysis |
title_full_unstemmed | The possible role of SRMS in colorectal cancer by bioinformatics analysis |
title_short | The possible role of SRMS in colorectal cancer by bioinformatics analysis |
title_sort | possible role of srms in colorectal cancer by bioinformatics analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594183/ https://www.ncbi.nlm.nih.gov/pubmed/34781983 http://dx.doi.org/10.1186/s12957-021-02431-y |
work_keys_str_mv | AT zhangjie thepossibleroleofsrmsincolorectalcancerbybioinformaticsanalysis AT liuweidong thepossibleroleofsrmsincolorectalcancerbybioinformaticsanalysis AT fengsisi thepossibleroleofsrmsincolorectalcancerbybioinformaticsanalysis AT zhongbaiyun thepossibleroleofsrmsincolorectalcancerbybioinformaticsanalysis AT zhangjie possibleroleofsrmsincolorectalcancerbybioinformaticsanalysis AT liuweidong possibleroleofsrmsincolorectalcancerbybioinformaticsanalysis AT fengsisi possibleroleofsrmsincolorectalcancerbybioinformaticsanalysis AT zhongbaiyun possibleroleofsrmsincolorectalcancerbybioinformaticsanalysis |