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Role of Hub Genes in the Occurrence and Development of Testicular Cancer Based on Bioinformatics
BACKGROUND: Testicular cancer severely affects male health, so finding effective diagnosis and prognostic indicators and exploring its pathogenesis are very important. PURPOSE: This study aims to explore the hub genes that play important roles in the occurrence and development of testicular germ cel...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785138/ https://www.ncbi.nlm.nih.gov/pubmed/35082515 http://dx.doi.org/10.2147/IJGM.S342611 |
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author | Zhang, Chunlei Zhang, Weijun Cui, Han Zhang, Bin Miao, Pengcheng Yang, Qi Bai, Mei Jiao, Hongmei Chang, Dehui |
author_facet | Zhang, Chunlei Zhang, Weijun Cui, Han Zhang, Bin Miao, Pengcheng Yang, Qi Bai, Mei Jiao, Hongmei Chang, Dehui |
author_sort | Zhang, Chunlei |
collection | PubMed |
description | BACKGROUND: Testicular cancer severely affects male health, so finding effective diagnosis and prognostic indicators and exploring its pathogenesis are very important. PURPOSE: This study aims to explore the hub genes that play important roles in the occurrence and development of testicular germ cell tumor (TGCT). METHODS: Data were obtained from Gene Expression Omnibus datasets (GSE3218 and GSE1818) and verified in The Cancer Genome Atlas database and the Genotype-Tissue Expression database and the Human Protein Atlas database. A protein–protein interaction network was constructed to obtain hub genes. GEO2R, R software and packages were used to analyze differentially expressed genes (DEGs), receiver operating characteristic curve assessment, Cox regression analysis, Kaplan–Meier survival curve assessment, Gene Ontology analysis, Kyoto Encyclopedia of Genes and Genomes analysis, the relationship with clinicopathological information, gene set enrichment analysis, the correlation with immune cells’ infiltration, and the expression in pan-cancers of the hub genes. RESULTS: PLK4, TRIP13, TPR, KIF18A, CDKN3, HMMR, PBK, PTTG1, CKS2, SYCP1, HSPA2, and MKI67 were selected as the hub genes. mRNA of PLK4, TRIP13, CDKN3, SYCP1, HSPA2, and MKI67 had high diagnostic values, and higher expression of CDKN3 and HSPA2 mRNA were poor prognostic factors for progression-free interval of TGCT. The hub genes involved organelle division and cell cycle, chromosome and centromeric region, heat shock protein binding, and more. Downregulated TPR and PLK4 were selected as research targets for continued study, and they may participate in multiple signaling pathways. The expression of TPR and PLK4 correlated with the infiltration of a variety of immune cells and differed in pan-cancers. CONCLUSION: The mRNA levels of multiple hub genes have high diagnostic and prognostic values for TGCT. TPR and PLK4 may play a role in the occurrence and development of TGCT through cancer-related signaling pathways. |
format | Online Article Text |
id | pubmed-8785138 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-87851382022-01-25 Role of Hub Genes in the Occurrence and Development of Testicular Cancer Based on Bioinformatics Zhang, Chunlei Zhang, Weijun Cui, Han Zhang, Bin Miao, Pengcheng Yang, Qi Bai, Mei Jiao, Hongmei Chang, Dehui Int J Gen Med Original Research BACKGROUND: Testicular cancer severely affects male health, so finding effective diagnosis and prognostic indicators and exploring its pathogenesis are very important. PURPOSE: This study aims to explore the hub genes that play important roles in the occurrence and development of testicular germ cell tumor (TGCT). METHODS: Data were obtained from Gene Expression Omnibus datasets (GSE3218 and GSE1818) and verified in The Cancer Genome Atlas database and the Genotype-Tissue Expression database and the Human Protein Atlas database. A protein–protein interaction network was constructed to obtain hub genes. GEO2R, R software and packages were used to analyze differentially expressed genes (DEGs), receiver operating characteristic curve assessment, Cox regression analysis, Kaplan–Meier survival curve assessment, Gene Ontology analysis, Kyoto Encyclopedia of Genes and Genomes analysis, the relationship with clinicopathological information, gene set enrichment analysis, the correlation with immune cells’ infiltration, and the expression in pan-cancers of the hub genes. RESULTS: PLK4, TRIP13, TPR, KIF18A, CDKN3, HMMR, PBK, PTTG1, CKS2, SYCP1, HSPA2, and MKI67 were selected as the hub genes. mRNA of PLK4, TRIP13, CDKN3, SYCP1, HSPA2, and MKI67 had high diagnostic values, and higher expression of CDKN3 and HSPA2 mRNA were poor prognostic factors for progression-free interval of TGCT. The hub genes involved organelle division and cell cycle, chromosome and centromeric region, heat shock protein binding, and more. Downregulated TPR and PLK4 were selected as research targets for continued study, and they may participate in multiple signaling pathways. The expression of TPR and PLK4 correlated with the infiltration of a variety of immune cells and differed in pan-cancers. CONCLUSION: The mRNA levels of multiple hub genes have high diagnostic and prognostic values for TGCT. TPR and PLK4 may play a role in the occurrence and development of TGCT through cancer-related signaling pathways. Dove 2022-01-18 /pmc/articles/PMC8785138/ /pubmed/35082515 http://dx.doi.org/10.2147/IJGM.S342611 Text en © 2022 Zhang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Zhang, Chunlei Zhang, Weijun Cui, Han Zhang, Bin Miao, Pengcheng Yang, Qi Bai, Mei Jiao, Hongmei Chang, Dehui Role of Hub Genes in the Occurrence and Development of Testicular Cancer Based on Bioinformatics |
title | Role of Hub Genes in the Occurrence and Development of Testicular Cancer Based on Bioinformatics |
title_full | Role of Hub Genes in the Occurrence and Development of Testicular Cancer Based on Bioinformatics |
title_fullStr | Role of Hub Genes in the Occurrence and Development of Testicular Cancer Based on Bioinformatics |
title_full_unstemmed | Role of Hub Genes in the Occurrence and Development of Testicular Cancer Based on Bioinformatics |
title_short | Role of Hub Genes in the Occurrence and Development of Testicular Cancer Based on Bioinformatics |
title_sort | role of hub genes in the occurrence and development of testicular cancer based on bioinformatics |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785138/ https://www.ncbi.nlm.nih.gov/pubmed/35082515 http://dx.doi.org/10.2147/IJGM.S342611 |
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