Mutations of

METTL3 biomarker muscle-invasive bladder cancer neoadjuvant chemotherapy pathological response

Journal

Journal of clinical and translational research
ISSN: 2424-810X
Titre abrégé: J Clin Transl Res
Pays: Singapore
ID NLM: 101667205

Informations de publication

Date de publication:
26 Jun 2021
Historique:
received: 12 11 2020
revised: 27 01 2021
accepted: 10 05 2021
entrez: 9 7 2021
pubmed: 10 7 2021
medline: 10 7 2021
Statut: epublish

Résumé

Neoadjuvant chemotherapy (NAC) followed by radical cystectomy is the current gold standard treatment for muscle-invasive urothelial bladder cancer (MIBC). Nonetheless, some MIBC patients showed limited pathological response after NAC. Herein, we used whole-exome sequencing (WES) to identify genetic mutations in MIBC that can predict NAC response. Forty MIBC patients were enrolled in this study, in which 33 were successfully examined by WES and Sanger sequencing in the discovery cohort ( In the discovery cohort, the mutation frequencies of The somatic mutation of MIBC patients bearing mutated

Sections du résumé

BACKGROUND AND AIM OBJECTIVE
Neoadjuvant chemotherapy (NAC) followed by radical cystectomy is the current gold standard treatment for muscle-invasive urothelial bladder cancer (MIBC). Nonetheless, some MIBC patients showed limited pathological response after NAC. Herein, we used whole-exome sequencing (WES) to identify genetic mutations in MIBC that can predict NAC response.
METHODS METHODS
Forty MIBC patients were enrolled in this study, in which 33 were successfully examined by WES and Sanger sequencing in the discovery cohort (
RESULTS RESULTS
In the discovery cohort, the mutation frequencies of
CONCLUSION CONCLUSIONS
The somatic mutation of
RELEVANCE FOR PATIENTS UNASSIGNED
MIBC patients bearing mutated

Identifiants

pubmed: 34239995
pii: jctres.07.202103.009
pmc: PMC8259609

Types de publication

Journal Article

Langues

eng

Pagination

386-413

Informations de copyright

Copyright: © Whioce Publishing Pte. Ltd.

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Auteurs

Zhao Yang (Z)

College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
College of Life Science, Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin of Xinjiang Production and Construction Corps, Tarim University, Alar 843300, Xinjiang, China.

Zongyi Shen (Z)

College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.

Di Jin (D)

Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.

Nan Zhang (N)

College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.

Yue Wang (Y)

Department of Cancer Research, Novogene Bioinformatics Institute, Beijing 100016, China.

Wanjun Lei (W)

Department of Cancer Research, Novogene Bioinformatics Institute, Beijing 100016, China.

Zhiming Zhang (Z)

Department of Cancer Research, Novogene Bioinformatics Institute, Beijing 100016, China.

Haige Chen (H)

Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.

Faiza Naz (F)

College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.

Lida Xu (L)

College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.

Lei Wang (L)

College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.

Shihui Wang (S)

College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.

Xin Su (X)

College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.

Changyuan Yu (C)

College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.

Chong Li (C)

Core Facility for Protein Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
Zhongke Jianlan Medical Research Institute, Beijing 101400, China.

Classifications MeSH