Literature DB >> 33849552

Comprehensive analyses of m6A regulators and interactive coding and non-coding RNAs across 32 cancer types.

Sipeng Shen1,2,3, Ruyang Zhang3,4,5, Yue Jiang2,3, Yi Li6, Lijuan Lin2,3, Zhonghua Liu7, Yang Zhao3,4,5, Hongbing Shen2,4,5,8, Zhibin Hu1,2,4,8, Yongyue Wei9,10,11, Feng Chen12,13,14,15,16.   

Abstract

N6-Methyladenosine (m6A) is an RNA modification that interacts with numerous coding and non-coding RNAs and plays important roles in the development of cancers. Nonetheless, the clinical impacts of m6A interactive genes on these cancers largely remain unclear since most studies focus only on a single cancer type. We comprehensively evaluated m6A modification patterns, including 23 m6A regulators and 83 interactive coding and non-coding RNAs among 9,804 pan-cancer samples. We used clustering analysis to identify m6A subtypes and constructed the m6A signature based on an unsupervised approach. We used the signatures to identify potential m6A modification targets across the genome. The prognostic value of one target was further validated in 3,444 samples from six external datasets. We developed three distinct m6A modification subtypes with different tumor microenvironment cell infiltration degrees: immunological, intermediate, and tumor proliferative. They were significantly associated with overall survival in 24 of 27 cancer types. Our constructed individual-level m6A signature was associated with survival, tumor mutation burden, and classical pathways. With the signature, we identified 114 novel genes as potential m6A targets. The gene shared most commonly between cancer types, BCL9L, is an oncogene and interacts with m6A patterns in the Wnt signaling pathway. In conclusion, m6A regulators and their interactive genes impact the outcome of various cancers. Evaluating the m6A subtype and the signature of individual tumors may inform the design of adjuvant treatments.

Entities:  

Keywords:  Multi-omics; N6-Methyladenosine; Pan-cancer; Survival outcome

Year:  2021        PMID: 33849552     DOI: 10.1186/s12943-021-01362-2

Source DB:  PubMed          Journal:  Mol Cancer        ISSN: 1476-4598            Impact factor:   27.401


  3 in total

1.  Stem cells. m6A mRNA methylation facilitates resolution of naïve pluripotency toward differentiation.

Authors:  Shay Geula; Sharon Moshitch-Moshkovitz; Dan Dominissini; Abed AlFatah Mansour; Nitzan Kol; Mali Salmon-Divon; Vera Hershkovitz; Eyal Peer; Nofar Mor; Yair S Manor; Moshe Shay Ben-Haim; Eran Eyal; Sharon Yunger; Yishay Pinto; Diego Adhemar Jaitin; Sergey Viukov; Yoach Rais; Vladislav Krupalnik; Elad Chomsky; Mirie Zerbib; Itay Maza; Yoav Rechavi; Rada Massarwa; Suhair Hanna; Ido Amit; Erez Y Levanon; Ninette Amariglio; Noam Stern-Ginossar; Noa Novershtern; Gideon Rechavi; Jacob H Hanna
Journal:  Science       Date:  2015-01-01       Impact factor: 47.728

Review 2.  m6A Modification in Coding and Non-coding RNAs: Roles and Therapeutic Implications in Cancer.

Authors:  Huilin Huang; Hengyou Weng; Jianjun Chen
Journal:  Cancer Cell       Date:  2020-03-16       Impact factor: 31.743

Review 3.  RNA N6-methyladenosine modification in cancers: current status and perspectives.

Authors:  Xiaolan Deng; Rui Su; Hengyou Weng; Huilin Huang; Zejuan Li; Jianjun Chen
Journal:  Cell Res       Date:  2018-04-23       Impact factor: 25.617

  3 in total
  13 in total

1.  Pan-cancer investigation of CENPK gene: clinical significance and oncogenic immunology.

Authors:  Hanqian Zeng; Yanyan Shen; Suzita Hirachan; Adheesh Bhandari; Xiangjian Zhang
Journal:  Am J Transl Res       Date:  2021-12-15       Impact factor: 4.060

2.  Estimating the prognosis of esophageal squamous cell carcinoma based on The Cancer Genome Atlas (TCGA) of m6A methylation-associated genes.

Authors:  Yu Pu; Xianfeng Lu; Xueqin Yang; Yi Yang; Dong Wang; Mengxia Li; Wei Guan; Mingfang Xu
Journal:  J Gastrointest Oncol       Date:  2022-02

3.  Interferon-Induced Transmembrane Protein 3 Shapes an Inflamed Tumor Microenvironment and Identifies Immuno-Hot Tumors.

Authors:  Yun Cai; Wenfei Ji; Chuan Sun; Rui Xu; Xuechun Chen; Yifan Deng; Jiadong Pan; Jiayue Yang; Hongjun Zhu; Jie Mei
Journal:  Front Immunol       Date:  2021-08-11       Impact factor: 7.561

4.  A m6A methyltransferase-mediated immune signature determines prognosis, immune landscape and immunotherapy efficacy in patients with lung adenocarcinoma.

Authors:  Mengyuan Lei; Chenghan Luo; Jiayang Zhang; Wenjun Cao; Jian Ge; Min Zhao
Journal:  Cell Oncol (Dordr)       Date:  2022-08-15       Impact factor: 7.051

5.  Comprehensive Analysis of m6A RNA Methylation Regulators and the Immune Microenvironment to Aid Immunotherapy in Pancreatic Cancer.

Authors:  Yongdong Guo; Ronglin Wang; Junqiang Li; Yang Song; Jie Min; Ting Zhao; Lei Hua; Jingjie Shi; Chao Zhang; Peixiang Ma; Cheng Yang; Liaoliao Zhu; Dongxue Gan; Shanshan Li; Xiaonan Liu; Haichuan Su
Journal:  Front Immunol       Date:  2021-11-05       Impact factor: 7.561

6.  Identification of an eight-m6A RNA methylation regulator prognostic signature of uterine corpus endometrial carcinoma based on bioinformatics analysis.

Authors:  Chenyun Miao; Xiaojie Fang; Yun Chen; Ying Zhao; Qingge Guo
Journal:  Medicine (Baltimore)       Date:  2021-12-10       Impact factor: 1.817

7.  Genome-wide screening and immune landscape suggest a potential-m6A-related lncRNA risk signature for predicting prognosis of melanoma.

Authors:  Kangjie Shen; Hongye Wang; Shengbai Xue; Lu Wang; Ming Ren; Zixu Gao; Chuanyuan Wei; Jianying Gu
Journal:  Ann Transl Med       Date:  2022-03

8.  Expression of N6-methyladenosine (m6A) regulators correlates with immune microenvironment characteristics and predicts prognosis in diffuse large cell lymphoma (DLBCL).

Authors:  Zucheng Xie; Meiwei Li; Haoyuan Hong; Qingyuan Xu; Zhendong He; Zhigang Peng
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

Review 9.  Methyladenosine Modification in RNAs: From Regulatory Roles to Therapeutic Implications in Cancer.

Authors:  Xiaolin Qu; Yongqiu Zhang; Xianzheng Sang; Ding Ren; Hong Zhao; Stephen T C Wong
Journal:  Cancers (Basel)       Date:  2022-06-29       Impact factor: 6.575

10.  Understanding of mouse and human bladder at single-cell resolution: integrated analysis of trajectory and cell-cell interactive networks based on multiple scRNA-seq datasets.

Authors:  Bowen Shi; Yanyuan Wu; Haojie Chen; Jie Ding; Jun Qi
Journal:  Cell Prolif       Date:  2021-12-23       Impact factor: 6.831

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