Literature DB >> 32388013

TGFB2 serves as a link between epithelial-mesenchymal transition and tumor mutation burden in gastric cancer.

BoWen Yang1, Jin Bai1, Ruichuan Shi1, Xinye Shao1, Yujing Yang1, Yue Jin1, Xiaofang Che1, Ye Zhang2, Xiujuan Qu1, Yunpeng Liu3, Zhi Li4.   

Abstract

Immune checkpoint blockade (ICB) has been a major breakthrough in various cancers including gastric cancer (GC), yet the clinical outcomes remain poor. Currently, epithelial-mesenchymal transition (EMT) has been reported to be associated with tumor mutational burden (TMB), which can cause lack of response to ICB. However, the underlying mechanism remains unknown. Members of the transforming growth factorβ (TGFB) family are regarded as the main mediators of EMT, yet how TGFB2 drives EMT in GC is not fully understood. In this study, we found that overexpression of TGFB2 was correlated with poor prognosis in TGCA-STAD and four GEO GC datasets.Gene set enrichment analysis revealed that the EMT pathway was significantly enriched in the high TGFB2 expression group, whilst the TMB-related pathways including mismatch repair, base excision repair, and DNA replication were strongly enriched in the low expression group. Furthermore, EMT score analysis, WGCNA and functional analysis showed that TGFB2 was co-expressed with neurite-related pathways that might drive EMT. Also, CIBERSORT analysis revealed that tumor-infiltrating immune cells like T follicular helper cells might participate in the process of TGFB2 affecting TMB levels in GC. Moreover, in other various cancers, TGFB2 was also negatively correlated with TMB levels as well as ICB response. Overall, these results revealed that TGFB2 could play a vital role in linking EMT and TMB in GC, suggesting that TGFB2 may be a predictive therapeutic target for GC.
Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Epithelial-mesenchymal transition; Gastric cancer; Immune checkpoint blockade; Immune infiltration; TGFB2; Tumor mutation burden

Mesh:

Substances:

Year:  2020        PMID: 32388013     DOI: 10.1016/j.intimp.2020.106532

Source DB:  PubMed          Journal:  Int Immunopharmacol        ISSN: 1567-5769            Impact factor:   4.932


  8 in total

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Journal:  Front Genet       Date:  2022-05-10       Impact factor: 4.772

2.  miR‑454‑3p inhibits non‑small cell lung cancer cell proliferation and metastasis by targeting TGFB2.

Authors:  Hongliang Liao; Yaqin Liang; Lin Kang; Yun Xiao; Tao Yu; Renping Wan
Journal:  Oncol Rep       Date:  2021-03-24       Impact factor: 3.906

3.  Development and Validation of a Robust Pyroptosis-Related Signature for Predicting Prognosis and Immune Status in Patients with Colon Cancer.

Authors:  Zhicheng Zhuang; Huajun Cai; Hexin Lin; Bingjie Guan; Yong Wu; Yiyi Zhang; Xing Liu; Jinfu Zhuang; Guoxian Guan
Journal:  J Oncol       Date:  2021-11-18       Impact factor: 4.375

4.  Development of Tumor Mutation Burden-Related Prognostic Model and Novel Biomarker Identification in Stomach Adenocarcinoma.

Authors:  Min Fu; Yongbiao Huang; Xiaohong Peng; Xiaoyu Li; Na Luo; Wenjun Zhu; Feng Yang; Ziqi Chen; Shengling Ma; Yuanyuan Zhang; Qianxia Li; Guangyuan Hu
Journal:  Front Cell Dev Biol       Date:  2022-03-23

5.  Association of the TGFβ gene family with microenvironmental features of gastric cancer and prediction of response to immunotherapy.

Authors:  Bangling Han; Tianyi Fang; Yao Zhang; Yongle Zhang; Jialiang Gao; Yingwei Xue
Journal:  Front Oncol       Date:  2022-09-02       Impact factor: 5.738

6.  Identification of hub genes related to CD4+ memory T cell infiltration with gene co-expression network predicts prognosis and immunotherapy effect in colon adenocarcinoma.

Authors:  Lingxue Tang; Sheng Yu; Qianqian Zhang; Yinlian Cai; Wen Li; Senbang Yao; Huaidong Cheng
Journal:  Front Genet       Date:  2022-08-29       Impact factor: 4.772

7.  Identifying Common Genes Related to Platelet and Immunity for Lung Adenocarcinoma Prognosis Prediction.

Authors:  Chengmao Zhou; Ying Wang; Lei Lei; Mu-Huo Ji; Jian-Jun Yang; Hongping Xia
Journal:  Front Mol Biosci       Date:  2020-10-29

8.  Identification of the subtypes of gastric cancer based on DNA methylation and the prediction of prognosis.

Authors:  Tengda Li; Xin Chen; Mingli Gu; Anmei Deng; Cheng Qian
Journal:  Clin Epigenetics       Date:  2020-10-28       Impact factor: 6.551

  8 in total

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