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Construction of a Comprehensive Diagnostic Scoring Model for Prostate Cancer Based on a Novel Six-Gene Panel
Accumulating evidence indicates that the N6-methyladenosine (m(6)A) modification plays a critical role in human cancers. Given the current understanding of m(6)A modification, this process is believed to be dynamically regulated by m(6)A regulators. Although the discovery of m(6)A regulators has gre...
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/PMC9086319/ https://www.ncbi.nlm.nih.gov/pubmed/35559023 http://dx.doi.org/10.3389/fgene.2022.831162 |
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author | Liu, Yunfeng Qiu, Simei Sun, Dongshan Xiong, Ting Xiang, Qiuling Li, Quhuan |
author_facet | Liu, Yunfeng Qiu, Simei Sun, Dongshan Xiong, Ting Xiang, Qiuling Li, Quhuan |
author_sort | Liu, Yunfeng |
collection | PubMed |
description | Accumulating evidence indicates that the N6-methyladenosine (m(6)A) modification plays a critical role in human cancers. Given the current understanding of m(6)A modification, this process is believed to be dynamically regulated by m(6)A regulators. Although the discovery of m(6)A regulators has greatly enhanced our understanding of the mechanism underlying m(6)A modification in cancers, the function and role of m(6)A in the context of prostate cancer (PCa) remain unclear. Here, we aimed to establish a comprehensive diagnostic scoring model that can act as a complement to prostate-specific antigen (PSA) screening. To achieve this, we first drew the landscape of m(6)A regulators and constructed a LASSO-Cox model using three risk genes (METTL14, HNRNP2AB1, and YTHDF2). Particularly, METTL14 expression was found to be significantly related to overall survival, tumor T stage, relapse rate, and tumor microenvironment of PCa patients, showing that it has important prognostic value. Furthermore, for the sake of improving the predictive ability, we presented a comprehensive diagnostic scoring model based on a novel 6-gene panel by combining with genes found in our previous study, and its application potential was further validated by the whole TCGA and ICGC cohorts. Our study provides additional clues and insights regarding the treatment and diagnosis of PCa patients. |
format | Online Article Text |
id | pubmed-9086319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90863192022-05-11 Construction of a Comprehensive Diagnostic Scoring Model for Prostate Cancer Based on a Novel Six-Gene Panel Liu, Yunfeng Qiu, Simei Sun, Dongshan Xiong, Ting Xiang, Qiuling Li, Quhuan Front Genet Genetics Accumulating evidence indicates that the N6-methyladenosine (m(6)A) modification plays a critical role in human cancers. Given the current understanding of m(6)A modification, this process is believed to be dynamically regulated by m(6)A regulators. Although the discovery of m(6)A regulators has greatly enhanced our understanding of the mechanism underlying m(6)A modification in cancers, the function and role of m(6)A in the context of prostate cancer (PCa) remain unclear. Here, we aimed to establish a comprehensive diagnostic scoring model that can act as a complement to prostate-specific antigen (PSA) screening. To achieve this, we first drew the landscape of m(6)A regulators and constructed a LASSO-Cox model using three risk genes (METTL14, HNRNP2AB1, and YTHDF2). Particularly, METTL14 expression was found to be significantly related to overall survival, tumor T stage, relapse rate, and tumor microenvironment of PCa patients, showing that it has important prognostic value. Furthermore, for the sake of improving the predictive ability, we presented a comprehensive diagnostic scoring model based on a novel 6-gene panel by combining with genes found in our previous study, and its application potential was further validated by the whole TCGA and ICGC cohorts. Our study provides additional clues and insights regarding the treatment and diagnosis of PCa patients. Frontiers Media S.A. 2022-04-26 /pmc/articles/PMC9086319/ /pubmed/35559023 http://dx.doi.org/10.3389/fgene.2022.831162 Text en Copyright © 2022 Liu, Qiu, Sun, Xiong, Xiang and Li. 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 | Genetics Liu, Yunfeng Qiu, Simei Sun, Dongshan Xiong, Ting Xiang, Qiuling Li, Quhuan Construction of a Comprehensive Diagnostic Scoring Model for Prostate Cancer Based on a Novel Six-Gene Panel |
title | Construction of a Comprehensive Diagnostic Scoring Model for Prostate Cancer Based on a Novel Six-Gene Panel |
title_full | Construction of a Comprehensive Diagnostic Scoring Model for Prostate Cancer Based on a Novel Six-Gene Panel |
title_fullStr | Construction of a Comprehensive Diagnostic Scoring Model for Prostate Cancer Based on a Novel Six-Gene Panel |
title_full_unstemmed | Construction of a Comprehensive Diagnostic Scoring Model for Prostate Cancer Based on a Novel Six-Gene Panel |
title_short | Construction of a Comprehensive Diagnostic Scoring Model for Prostate Cancer Based on a Novel Six-Gene Panel |
title_sort | construction of a comprehensive diagnostic scoring model for prostate cancer based on a novel six-gene panel |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086319/ https://www.ncbi.nlm.nih.gov/pubmed/35559023 http://dx.doi.org/10.3389/fgene.2022.831162 |
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