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Key pathways in prostate cancer with SPOP mutation identified by bioinformatic analysis
Prostate cancer (PCa) is a leading adult malignant tumor. Recent research has shown that speckle-type BTB/POZ protein (SPOP) mutant is the top frequently mutated gene in PCa, which makes it an important biomarker. In this paper, we aimed at identifying critical genes and pathways related to SPOP mut...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718645/ https://www.ncbi.nlm.nih.gov/pubmed/33336059 http://dx.doi.org/10.1515/med-2020-0237 |
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author | Ding, Guanxiong Sun, Jianliang Jiang, Lianhua Gao, Peng Zhou, Qidong Wang, Jianqing Tong, Shijun |
author_facet | Ding, Guanxiong Sun, Jianliang Jiang, Lianhua Gao, Peng Zhou, Qidong Wang, Jianqing Tong, Shijun |
author_sort | Ding, Guanxiong |
collection | PubMed |
description | Prostate cancer (PCa) is a leading adult malignant tumor. Recent research has shown that speckle-type BTB/POZ protein (SPOP) mutant is the top frequently mutated gene in PCa, which makes it an important biomarker. In this paper, we aimed at identifying critical genes and pathways related to SPOP mutation in PCa. Recent The Cancer Genome Atlas data showed that 12% of patients with PCa were SPOP mutant. There were 1,570 differentially expressed genes, and online enrichment analysis showed that these genes were mainly enriched in metabolism, pathways in cancer and reactive oxygen species. INS, GNG13, IL6, HTR5A, SAA1, PPY, CXCR5, CXCL13, CD19 and CCL20 were identified as hub genes. The lower SPOP expression level was associated with poor prognosis. In all, our findings showed that various pathways and genes could play critical roles in SPOP mutation in PCa, providing potential options for individualized treatment. |
format | Online Article Text |
id | pubmed-7718645 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | De Gruyter |
record_format | MEDLINE/PubMed |
spelling | pubmed-77186452020-12-16 Key pathways in prostate cancer with SPOP mutation identified by bioinformatic analysis Ding, Guanxiong Sun, Jianliang Jiang, Lianhua Gao, Peng Zhou, Qidong Wang, Jianqing Tong, Shijun Open Med (Wars) Research Article Prostate cancer (PCa) is a leading adult malignant tumor. Recent research has shown that speckle-type BTB/POZ protein (SPOP) mutant is the top frequently mutated gene in PCa, which makes it an important biomarker. In this paper, we aimed at identifying critical genes and pathways related to SPOP mutation in PCa. Recent The Cancer Genome Atlas data showed that 12% of patients with PCa were SPOP mutant. There were 1,570 differentially expressed genes, and online enrichment analysis showed that these genes were mainly enriched in metabolism, pathways in cancer and reactive oxygen species. INS, GNG13, IL6, HTR5A, SAA1, PPY, CXCR5, CXCL13, CD19 and CCL20 were identified as hub genes. The lower SPOP expression level was associated with poor prognosis. In all, our findings showed that various pathways and genes could play critical roles in SPOP mutation in PCa, providing potential options for individualized treatment. De Gruyter 2020-10-09 /pmc/articles/PMC7718645/ /pubmed/33336059 http://dx.doi.org/10.1515/med-2020-0237 Text en © 2020 Guanxiong Ding et al., published by De Gruyter http://creativecommons.org/licenses/by/4.0 This work is licensed under the Creative Commons Attribution 4.0 International License. |
spellingShingle | Research Article Ding, Guanxiong Sun, Jianliang Jiang, Lianhua Gao, Peng Zhou, Qidong Wang, Jianqing Tong, Shijun Key pathways in prostate cancer with SPOP mutation identified by bioinformatic analysis |
title | Key pathways in prostate cancer with SPOP mutation identified by bioinformatic analysis |
title_full | Key pathways in prostate cancer with SPOP mutation identified by bioinformatic analysis |
title_fullStr | Key pathways in prostate cancer with SPOP mutation identified by bioinformatic analysis |
title_full_unstemmed | Key pathways in prostate cancer with SPOP mutation identified by bioinformatic analysis |
title_short | Key pathways in prostate cancer with SPOP mutation identified by bioinformatic analysis |
title_sort | key pathways in prostate cancer with spop mutation identified by bioinformatic analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718645/ https://www.ncbi.nlm.nih.gov/pubmed/33336059 http://dx.doi.org/10.1515/med-2020-0237 |
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