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REV1: A novel biomarker and potential therapeutic target for various cancers

Background: REV1 is a member of the translesion synthesis DNA polymerase Y family. It is an essential player in a variety of DNA replication activities, and perform major roles in the production of both spontaneous and DNA damage-induced mutations. This study aimed to explore the role of REV1 as a p...

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Autores principales: Zhu, Ning, Zhao, Yingxin, Mi, Mi, Lu, Yier, Tan, Yinuo, Fang, Xuefeng, Weng, Shanshan, Yuan, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560673/
https://www.ncbi.nlm.nih.gov/pubmed/36246647
http://dx.doi.org/10.3389/fgene.2022.997970
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author Zhu, Ning
Zhao, Yingxin
Mi, Mi
Lu, Yier
Tan, Yinuo
Fang, Xuefeng
Weng, Shanshan
Yuan, Ying
author_facet Zhu, Ning
Zhao, Yingxin
Mi, Mi
Lu, Yier
Tan, Yinuo
Fang, Xuefeng
Weng, Shanshan
Yuan, Ying
author_sort Zhu, Ning
collection PubMed
description Background: REV1 is a member of the translesion synthesis DNA polymerase Y family. It is an essential player in a variety of DNA replication activities, and perform major roles in the production of both spontaneous and DNA damage-induced mutations. This study aimed to explore the role of REV1 as a prognostic biomarker and its potential function regulating the sensitivity of anti-tumor drugs in various cancers. Methods: We analyzed the impact of REV1 gene alterations on patient prognosis and the impact of different REV1 single nucleotide polymorphisms (SNP) on protein structure and function using multiple online prediction servers. REV1 expression was assessed using data from Oncomine, TCGA, and TIMER database. The correlation between REV1 expression and patient prognosis was performed using the PrognoScan and Kaplan-Meier plotter databases. The IC50 values of anti-cancer drugs were downloaded from the Genomics of Drug Sensitivity in Cancer database and the correlation analyses between REV1 expression and each drug pathway’s IC50 value in different tumor types were conducted. Results: Progression free survival was longer in REV1 gene altered group comparing to unaltered group [Median progression free survival (PFS), 107.80 vs. 60.89 months, p value = 7.062e-3]. REV1 SNP rs183737771 (F427L) was predicted to be deleterious SNP. REV1 expression differs in different tumour types. Low REV1 expression is associated with better prognosis in colorectal disease specific survival (DSS), disease-free survival (DFS), gastric overall survival (OS), post progression survival (PPS) and ovarian (OS, PPS) cancer while high REV1 expression is associated with better prognosis in lung [OS, relapse free survival (RFS), first progession (FP), PPS] and breast (DSS, RFS) cancer. In colon adenocarcinoma and rectum adenocarcinoma and lung adenocarcinoma, low expression of REV1 may suggest resistance to drugs in certain pathways. Conversely, high expression of REV1 in acute myeloid leukemia, brain lower grade glioma, small cell lung cancer and thyroid carcinoma may indicate resistance to drugs in certain pathways. Conclusion: REV1 plays different roles in different tumor types, drug susceptibility, and related biological events. REV1 expression is significantly correlated with different prognosis in colorectal, ovarian, lung, breast, and gastric cancer. REV1 expression can be used as predictive marker for various drugs of various pathways in different tumors.
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spelling pubmed-95606732022-10-14 REV1: A novel biomarker and potential therapeutic target for various cancers Zhu, Ning Zhao, Yingxin Mi, Mi Lu, Yier Tan, Yinuo Fang, Xuefeng Weng, Shanshan Yuan, Ying Front Genet Genetics Background: REV1 is a member of the translesion synthesis DNA polymerase Y family. It is an essential player in a variety of DNA replication activities, and perform major roles in the production of both spontaneous and DNA damage-induced mutations. This study aimed to explore the role of REV1 as a prognostic biomarker and its potential function regulating the sensitivity of anti-tumor drugs in various cancers. Methods: We analyzed the impact of REV1 gene alterations on patient prognosis and the impact of different REV1 single nucleotide polymorphisms (SNP) on protein structure and function using multiple online prediction servers. REV1 expression was assessed using data from Oncomine, TCGA, and TIMER database. The correlation between REV1 expression and patient prognosis was performed using the PrognoScan and Kaplan-Meier plotter databases. The IC50 values of anti-cancer drugs were downloaded from the Genomics of Drug Sensitivity in Cancer database and the correlation analyses between REV1 expression and each drug pathway’s IC50 value in different tumor types were conducted. Results: Progression free survival was longer in REV1 gene altered group comparing to unaltered group [Median progression free survival (PFS), 107.80 vs. 60.89 months, p value = 7.062e-3]. REV1 SNP rs183737771 (F427L) was predicted to be deleterious SNP. REV1 expression differs in different tumour types. Low REV1 expression is associated with better prognosis in colorectal disease specific survival (DSS), disease-free survival (DFS), gastric overall survival (OS), post progression survival (PPS) and ovarian (OS, PPS) cancer while high REV1 expression is associated with better prognosis in lung [OS, relapse free survival (RFS), first progession (FP), PPS] and breast (DSS, RFS) cancer. In colon adenocarcinoma and rectum adenocarcinoma and lung adenocarcinoma, low expression of REV1 may suggest resistance to drugs in certain pathways. Conversely, high expression of REV1 in acute myeloid leukemia, brain lower grade glioma, small cell lung cancer and thyroid carcinoma may indicate resistance to drugs in certain pathways. Conclusion: REV1 plays different roles in different tumor types, drug susceptibility, and related biological events. REV1 expression is significantly correlated with different prognosis in colorectal, ovarian, lung, breast, and gastric cancer. REV1 expression can be used as predictive marker for various drugs of various pathways in different tumors. Frontiers Media S.A. 2022-09-29 /pmc/articles/PMC9560673/ /pubmed/36246647 http://dx.doi.org/10.3389/fgene.2022.997970 Text en Copyright © 2022 Zhu, Zhao, Mi, Lu, Tan, Fang, Weng and Yuan. 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
Zhu, Ning
Zhao, Yingxin
Mi, Mi
Lu, Yier
Tan, Yinuo
Fang, Xuefeng
Weng, Shanshan
Yuan, Ying
REV1: A novel biomarker and potential therapeutic target for various cancers
title REV1: A novel biomarker and potential therapeutic target for various cancers
title_full REV1: A novel biomarker and potential therapeutic target for various cancers
title_fullStr REV1: A novel biomarker and potential therapeutic target for various cancers
title_full_unstemmed REV1: A novel biomarker and potential therapeutic target for various cancers
title_short REV1: A novel biomarker and potential therapeutic target for various cancers
title_sort rev1: a novel biomarker and potential therapeutic target for various cancers
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560673/
https://www.ncbi.nlm.nih.gov/pubmed/36246647
http://dx.doi.org/10.3389/fgene.2022.997970
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