Literature DB >> 32168105

The Effect of Exercise on Gene Expression and Signaling in Mouse Melanoma Tumors.

Zhi Xia, Huayu Shang1, Jason Cholewa2, Qianjin Wang3, Xiaomin Ding3, Quansheng Su1, Yan Zhao3, Nelo Eidy Zanchi.   

Abstract

PURPOSE: To screen for candidate hub genes associated with the effects of exercise on melanoma tumor tissues and to review the potential signaling pathways involved in this process using bioinformatics analysis.
METHODS: The GSE62628 expression profile was downloaded from Gene Expression Omnibus database. This data set contains 10 melanoma tumor tissues from two groups of exercise and nonexercise mice. The R software was utilized to identify differentially expressed genes between samples, and functional annotation and pathway analysis were performed. Results were visualized using Cytoscape software.
RESULTS: In total, 315 differentially expressed genes were obtained, including 294 upregulated and 21 downregulated genes. The functional analysis showed that these genes were mainly enriched in immune response, inflammatory response, and positive regulation of the ERK1/2 cascade in biological process functional groups. The top 10 candidate hub genes were C3, Kng1, C3ar1, Ptafr, Fgg, Alb, Pf4, Orm1, Aldh3b1, and Apob. The pathway analysis of the most significant module identified from the protein-protein interaction network revealed that the complement and coagulation cascades, Staphylococcus aureus infection, cytokine-cytokine receptor interaction, chemokine signaling pathway and phagosome were mainly involved. C3, C3ar1, Kng1, Ptafr, and Fgg may be the critical genes in the complement and coagulation cascades pathway, and S. aureus in the infection pathway.
CONCLUSIONS: Exercise may ameliorate the immune response and inflammatory response in melanoma tissue, and further studies exploring their relationships are warranted.

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Year:  2020        PMID: 32168105     DOI: 10.1249/MSS.0000000000002291

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  3 in total

1.  Value of a Signature of Immune-Related Genes in Predicting the Prognosis of Melanoma and Its Responses to Immune Checkpoint Blocker Therapies.

Authors:  Bo Yuan; Linlin Miao; Disen Mei; Lingzhi Li; Qiongyan Zhou; Dong Dong; Songting Wang; Xiaoxia Zhu; Suling Xu
Journal:  Comput Math Methods Med       Date:  2022-06-20       Impact factor: 2.809

2.  A novel inflammatory response-related signature predicts the prognosis of cutaneous melanoma and the effect of antitumor drugs.

Authors:  Jiahua Xing; Yan Li; Youbai Chen; Yan Han
Journal:  World J Surg Oncol       Date:  2022-08-19       Impact factor: 3.253

3.  Prediction of clinical prognosis in cutaneous melanoma using an immune-related gene pair signature.

Authors:  Yu Yang; Xuan Long; Guiyun Li; Xiaohong Yu; Yu Liu; Kun Li; Xiaobin Tian
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

  3 in total

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