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Comprehensive analysis of TP53 and SPOP mutations and their impact on survival in metastatic prostate cancer
BACKGROUND: Although TP53 and SPOP are frequently mutated in metastatic prostate cancer (PCa), their prognostic value is ambiguous, and large sample studies are lacking, especially when they co-occur with other genetic alterations. METHODS: Genomic data and patients’ clinical characteristics in PCa...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471084/ https://www.ncbi.nlm.nih.gov/pubmed/36119488 http://dx.doi.org/10.3389/fonc.2022.957404 |
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author | Zhou, Jie Lai, Yiming Peng, Shengmeng Tang, Chen Chen, Yongming Li, Lingfeng Huang, Hai Guo, Zhenghui |
author_facet | Zhou, Jie Lai, Yiming Peng, Shengmeng Tang, Chen Chen, Yongming Li, Lingfeng Huang, Hai Guo, Zhenghui |
author_sort | Zhou, Jie |
collection | PubMed |
description | BACKGROUND: Although TP53 and SPOP are frequently mutated in metastatic prostate cancer (PCa), their prognostic value is ambiguous, and large sample studies are lacking, especially when they co-occur with other genetic alterations. METHODS: Genomic data and patients’ clinical characteristics in PCa were downloaded from the cBioPortal database. We extensively analyzed other gene alterations in different mutation status of TP53 and SPOP. We further subdivided TP53 and SPOP mutation into subgroups based on different mutation status, and then evaluated the prognostic value. Two classification systems for TP53 survival analysis were used. RESULTS: A total of 2,172 patients with PCa were analyzed in our study, of which 1,799 were metastatic PCa patients. The mutual exclusivity analysis showed that TP53 and SPOP mutation has a strong mutual exclusion (p<0.001). In multivariable analysis, truncating TP53 mutations (HR=1.773, 95%CI:1.403-2.239, p<0.001) and other TP53 mutations(HR=1.555, 95%CI:1.267-1.908, p<0.001) were independent negative prognostic markers in metastatic PCa, whereas SPOP mutations(HR=0.592, 95%CI:0.427-0.819, p<0.001) were an independent prognostic factor for better prognosis. Mutations in TP53 were significantly associated with wild-type status for SPOP and CDK12, structural variants/fusions for TMPRSS2 and ERG, AR amplification and PTEN deletion (p<0.001). And truncating TP53 mutations have higher AR amplification rates than other TP53 mutations (p=0.022). Consistently, truncating TP53 mutations had a worse prognosis than other TP53 mutations (p<0.05). Then Kaplan-Meier survival curve showed that Co-occurring TP53 mutations in AR amplification or PTEN deletion tumors significantly reduced survival (p<0.05). Furthermore, those with SPOP-mutant tumors with co-occurring TP53 truncating mutations had shorter overall survival than those with SPOP-mutant tumors with wild-type or other TP53 mutations. CONCLUSIONS: This study found that TP53 and SPOP mutations were mutually exclusive and both were independent prognostic markers for metastatic PCa. Genomic alteration and survival analysis revealed that TP53 and SPOP mutations represented distinct molecular subtypes. Our data suggest that molecular stratification on the basis of TP53 and SPOP mutation status should be implemented for metastatic PCa to optimize and modify clinical decision-making. |
format | Online Article Text |
id | pubmed-9471084 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94710842022-09-15 Comprehensive analysis of TP53 and SPOP mutations and their impact on survival in metastatic prostate cancer Zhou, Jie Lai, Yiming Peng, Shengmeng Tang, Chen Chen, Yongming Li, Lingfeng Huang, Hai Guo, Zhenghui Front Oncol Oncology BACKGROUND: Although TP53 and SPOP are frequently mutated in metastatic prostate cancer (PCa), their prognostic value is ambiguous, and large sample studies are lacking, especially when they co-occur with other genetic alterations. METHODS: Genomic data and patients’ clinical characteristics in PCa were downloaded from the cBioPortal database. We extensively analyzed other gene alterations in different mutation status of TP53 and SPOP. We further subdivided TP53 and SPOP mutation into subgroups based on different mutation status, and then evaluated the prognostic value. Two classification systems for TP53 survival analysis were used. RESULTS: A total of 2,172 patients with PCa were analyzed in our study, of which 1,799 were metastatic PCa patients. The mutual exclusivity analysis showed that TP53 and SPOP mutation has a strong mutual exclusion (p<0.001). In multivariable analysis, truncating TP53 mutations (HR=1.773, 95%CI:1.403-2.239, p<0.001) and other TP53 mutations(HR=1.555, 95%CI:1.267-1.908, p<0.001) were independent negative prognostic markers in metastatic PCa, whereas SPOP mutations(HR=0.592, 95%CI:0.427-0.819, p<0.001) were an independent prognostic factor for better prognosis. Mutations in TP53 were significantly associated with wild-type status for SPOP and CDK12, structural variants/fusions for TMPRSS2 and ERG, AR amplification and PTEN deletion (p<0.001). And truncating TP53 mutations have higher AR amplification rates than other TP53 mutations (p=0.022). Consistently, truncating TP53 mutations had a worse prognosis than other TP53 mutations (p<0.05). Then Kaplan-Meier survival curve showed that Co-occurring TP53 mutations in AR amplification or PTEN deletion tumors significantly reduced survival (p<0.05). Furthermore, those with SPOP-mutant tumors with co-occurring TP53 truncating mutations had shorter overall survival than those with SPOP-mutant tumors with wild-type or other TP53 mutations. CONCLUSIONS: This study found that TP53 and SPOP mutations were mutually exclusive and both were independent prognostic markers for metastatic PCa. Genomic alteration and survival analysis revealed that TP53 and SPOP mutations represented distinct molecular subtypes. Our data suggest that molecular stratification on the basis of TP53 and SPOP mutation status should be implemented for metastatic PCa to optimize and modify clinical decision-making. Frontiers Media S.A. 2022-08-31 /pmc/articles/PMC9471084/ /pubmed/36119488 http://dx.doi.org/10.3389/fonc.2022.957404 Text en Copyright © 2022 Zhou, Lai, Peng, Tang, Chen, Li, Huang and Guo 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 | Oncology Zhou, Jie Lai, Yiming Peng, Shengmeng Tang, Chen Chen, Yongming Li, Lingfeng Huang, Hai Guo, Zhenghui Comprehensive analysis of TP53 and SPOP mutations and their impact on survival in metastatic prostate cancer |
title | Comprehensive analysis of TP53 and SPOP mutations and their impact on survival in metastatic prostate cancer |
title_full | Comprehensive analysis of TP53 and SPOP mutations and their impact on survival in metastatic prostate cancer |
title_fullStr | Comprehensive analysis of TP53 and SPOP mutations and their impact on survival in metastatic prostate cancer |
title_full_unstemmed | Comprehensive analysis of TP53 and SPOP mutations and their impact on survival in metastatic prostate cancer |
title_short | Comprehensive analysis of TP53 and SPOP mutations and their impact on survival in metastatic prostate cancer |
title_sort | comprehensive analysis of tp53 and spop mutations and their impact on survival in metastatic prostate cancer |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471084/ https://www.ncbi.nlm.nih.gov/pubmed/36119488 http://dx.doi.org/10.3389/fonc.2022.957404 |
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