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Deciphering the Increased Prevalence of TP53 Mutations in Metastatic Prostate Cancer

The prevalence of TP53 mutations in advanced prostate cancers (PCa) is 3 to 5 times of the quantity in primary PCa. By an integrative analysis of the Cancer Genome Atlas and Catalogue of Somatic Mutations in Cancer data, we revealed the supporting evidence for 2 complementary hypotheses: H(1) - TP53...

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Autores principales: Zhang, Wensheng, Dong, Yan, Sartor, Oliver, Zhang, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8980432/
https://www.ncbi.nlm.nih.gov/pubmed/35392296
http://dx.doi.org/10.1177/11769351221087046
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author Zhang, Wensheng
Dong, Yan
Sartor, Oliver
Zhang, Kun
author_facet Zhang, Wensheng
Dong, Yan
Sartor, Oliver
Zhang, Kun
author_sort Zhang, Wensheng
collection PubMed
description The prevalence of TP53 mutations in advanced prostate cancers (PCa) is 3 to 5 times of the quantity in primary PCa. By an integrative analysis of the Cancer Genome Atlas and Catalogue of Somatic Mutations in Cancer data, we revealed the supporting evidence for 2 complementary hypotheses: H(1) - TP53 abnormalities promote metastasis or therapy-resistance of PCa cells, and H(2)—part of TP53 mutations in PCa metastases occur after the diagnosis of original cancers. The plausibility of these hypotheses can explain the increased prevalence of TP53 mutations in PCa metastases. With H(1) and H(2) as the general assumptions, we developed mathematical models to decipher the change of the percentage frequency (prevalence) of TP53 mutations from primary tumors to metastases. The following results were obtained. Compared to TP53-normal patients, TP53-mutated patients had poorer biochemical relapse-free survival, higher Gleason scores, and more advanced t-stages (P < .01). Single-nucleotide variants in metastases more frequently occurred on G bases of the coding sequence than those in primary cancers (P = .03). The profile of TP53 hotspot mutations was significantly different between primary and metastatic PCa as demonstrated in a set of statistical tests (P < .05). By the derived formulae, we estimated that about 40% TP53 mutation records collected from metastases occurred after the diagnosis of the original cancers. Our study provided significant insight into PCa progression. The proposed models can also be applied to decipher the prevalence of mutations on TP53 (or other driver genes) in other cancer types.
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spelling pubmed-89804322022-04-06 Deciphering the Increased Prevalence of TP53 Mutations in Metastatic Prostate Cancer Zhang, Wensheng Dong, Yan Sartor, Oliver Zhang, Kun Cancer Inform Original Research The prevalence of TP53 mutations in advanced prostate cancers (PCa) is 3 to 5 times of the quantity in primary PCa. By an integrative analysis of the Cancer Genome Atlas and Catalogue of Somatic Mutations in Cancer data, we revealed the supporting evidence for 2 complementary hypotheses: H(1) - TP53 abnormalities promote metastasis or therapy-resistance of PCa cells, and H(2)—part of TP53 mutations in PCa metastases occur after the diagnosis of original cancers. The plausibility of these hypotheses can explain the increased prevalence of TP53 mutations in PCa metastases. With H(1) and H(2) as the general assumptions, we developed mathematical models to decipher the change of the percentage frequency (prevalence) of TP53 mutations from primary tumors to metastases. The following results were obtained. Compared to TP53-normal patients, TP53-mutated patients had poorer biochemical relapse-free survival, higher Gleason scores, and more advanced t-stages (P < .01). Single-nucleotide variants in metastases more frequently occurred on G bases of the coding sequence than those in primary cancers (P = .03). The profile of TP53 hotspot mutations was significantly different between primary and metastatic PCa as demonstrated in a set of statistical tests (P < .05). By the derived formulae, we estimated that about 40% TP53 mutation records collected from metastases occurred after the diagnosis of the original cancers. Our study provided significant insight into PCa progression. The proposed models can also be applied to decipher the prevalence of mutations on TP53 (or other driver genes) in other cancer types. SAGE Publications 2022-04-02 /pmc/articles/PMC8980432/ /pubmed/35392296 http://dx.doi.org/10.1177/11769351221087046 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Zhang, Wensheng
Dong, Yan
Sartor, Oliver
Zhang, Kun
Deciphering the Increased Prevalence of TP53 Mutations in Metastatic Prostate Cancer
title Deciphering the Increased Prevalence of TP53 Mutations in Metastatic Prostate Cancer
title_full Deciphering the Increased Prevalence of TP53 Mutations in Metastatic Prostate Cancer
title_fullStr Deciphering the Increased Prevalence of TP53 Mutations in Metastatic Prostate Cancer
title_full_unstemmed Deciphering the Increased Prevalence of TP53 Mutations in Metastatic Prostate Cancer
title_short Deciphering the Increased Prevalence of TP53 Mutations in Metastatic Prostate Cancer
title_sort deciphering the increased prevalence of tp53 mutations in metastatic prostate cancer
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8980432/
https://www.ncbi.nlm.nih.gov/pubmed/35392296
http://dx.doi.org/10.1177/11769351221087046
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