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Alteration of METTL3  Predicts  Response to Neoadjuvant Chemotherapy in Muscle - Invasive Bladder Cancer

36 Pages Posted: 27 Jul 2020

See all articles by Zhao Yang

Zhao Yang

Beijing University of Chemical Technology - College of Life Science and Technology

Zongyi Shen

Beijing University of Chemical Technology - College of Life Science and Technology

Di Jin

Shanghai Jiao Tong University (SJTU) - Department of Urology

Nan Zhang

Beijing University of Chemical Technology - College of Life Science and Technology

Yue Wang

Beijing Novogene Bioinformatics Technology Co., Ltd - Cancer Research Department

Wanjun Lei

Beijing Novogene Bioinformatics Technology Co., Ltd - Novogene Bioinformatics Institute

Zhiming Zhang

Beijing Novogene Bioinformatics Technology Co., Ltd - Cancer Research Department

Haige Chen

Shanghai Jiao Tong University (SJTU) - Department of Urology

Changyuan Yu

Beijing University of Chemical Technology - College of Life Science and Technology

Chong Li

Chinese Academy of Sciences (CAS) - Core Facility for Protein Research

More...

Abstract

Background: Neoadjuvant chemotherapy (NAC) followed by radical cystectomy is the current gold standard treatment for muscle-invasive bladder cancer (MIBC). Nonetheless, some MIBC patients showed limited pathological response to NAC.

Methods: Herein, we used the whole-exome sequencing to identify the mutation profiles in MIBC to predict the NAC response.

Findings: In the discovery cohort, somatic mutation of genes CDH9, METTL3 and PTPRH particularly occurred in NAC responder, signifying that these mutations were potential predictor in the pathological response to NAC. Furthermore, somatic mutation of CCDC141 was exclusively identified in NAC nonresponders, signifying that this mutation was responsible for the NAC resistance. Pathway enrichment analysis revealed that distinct pathway regulations based on mutational profiles of NAC responders and nonresponders. Compared to other cohort studies, the somatic mutations of CDH9, METTL3 and PTPRH were enriched among NAC responders while somatic mutation of CCDC141 was enriched in NAC nonresponders from validation cohort. Furthermore, survival analysis revealed that patients expressing mutated METTL3 has a prolonged overall survival and disease/progression-free survival than patients acquiring wild-type METTL3.

Interpreation: In short, somatic mutation of METTL3 can be a potential predictive biomarker of NAC response in MIBC patients.

Funding Statement: This work was supported by the Basic Scientific Research Operating Expenses for Central Universities (No. buctrc201910), National Natural Science Foundation of China (81602644), the project of Basic Research Cooperation of Beijing-Tianjin-Hebei (H2019104018) and the grant from the Ministry of Science and Technology of China (2010ZX09401-403).

Declaration of Interests: The authors have declared that no competing interest exists.

Ethics Approval Statement: Informed consents were obtained from patients and this study was approved by the Research Ethics Board at Shanghai Jiaotong University.

Keywords: Neoadjuvant chemotherapy, muscle-invasive bladder cancer; METTL3; pathological response; biomarker

Suggested Citation

Yang, Zhao and Shen, Zongyi and Jin, Di and Zhang, Nan and Wang, Yue and Lei, Wanjun and Zhang, Zhiming and Chen, Haige and Yu, Changyuan and Li, Chong, Alteration of METTL3  Predicts  Response to Neoadjuvant Chemotherapy in Muscle - Invasive Bladder Cancer (4/19/2020). Available at SSRN: https://ssrn.com/abstract=3582718 or http://dx.doi.org/10.2139/ssrn.3582718

Zhao Yang

Beijing University of Chemical Technology - College of Life Science and Technology ( email )

Beijing, 100029
China

Zongyi Shen

Beijing University of Chemical Technology - College of Life Science and Technology

Beijing, 100029
China

Di Jin

Shanghai Jiao Tong University (SJTU) - Department of Urology

Shanghai
China

Nan Zhang

Beijing University of Chemical Technology - College of Life Science and Technology

Beijing, 100029
China

Yue Wang

Beijing Novogene Bioinformatics Technology Co., Ltd - Cancer Research Department

Beijing
China

Wanjun Lei

Beijing Novogene Bioinformatics Technology Co., Ltd - Novogene Bioinformatics Institute

Beijing, 100083
China

Zhiming Zhang

Beijing Novogene Bioinformatics Technology Co., Ltd - Cancer Research Department

Beijing
China

Haige Chen

Shanghai Jiao Tong University (SJTU) - Department of Urology ( email )

Shanghai
China

Changyuan Yu (Contact Author)

Beijing University of Chemical Technology - College of Life Science and Technology ( email )

Beijing, 100029
China

Chong Li

Chinese Academy of Sciences (CAS) - Core Facility for Protein Research ( email )

Beijing
China

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