Literature DB >> 33827891

Tumor Immune Microenvironment during Epithelial-Mesenchymal Transition.

Mana Taki1, Kaoru Abiko2,3, Masayo Ukita2, Ryusuke Murakami2, Koji Yamanoi2, Ken Yamaguchi2, Junzo Hamanishi2, Tsukasa Baba4, Noriomi Matsumura5, Masaki Mandai2.   

Abstract

Epithelial-mesenchymal transition (EMT) has been shown to play a critical role in tumor development from initiation to metastasis. EMT could be regarded as a continuum, with intermediate hybrid epithelial and mesenchymal phenotypes having high plasticity. Classical EMT is characterized by the phenotype change of epithelial cells to cells with mesenchymal properties, but EMT is also associated with multiple other molecular processes, including tumor immune evasion. Some previous studies have shown that EMT is associated with the cell number of immunosuppressive cells, such as myeloid-derived suppressor cells, and the expression of immune checkpoints, such as programmed cell death-ligand 1, in several cancer types. At the molecular level, EMT transcriptional factors, including Snail, Zeb1, and Twist1, produce or attract immunosuppressive cells or promote the expression of immunosuppressive checkpoint molecules via chemokine production, leading to a tumor immunosuppressive microenvironment. In turn, immunosuppressive factors induce EMT in tumor cells. This feedback loop between EMT and immunosuppression promotes tumor progression. For therapy directly targeting EMT has been challenging, the elucidation of the interactive regulation of EMT and immunosuppression is desirable for developing new therapeutic approaches in cancer. The combination of immune checkpoint inhibitors and immunotherapy targeting immunosuppressive cells could be a promising therapy for EMT. ©2021 American Association for Cancer Research.

Entities:  

Mesh:

Year:  2021        PMID: 33827891     DOI: 10.1158/1078-0432.CCR-20-4459

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  28 in total

Review 1.  Dynamic host immunity and PD-L1/PD-1 blockade efficacy: developments after "IFN-γ from lymphocytes induces PD-L1 expression and promotes progression of ovarian cancer".

Authors:  Kaoru Abiko; Junzo Hamanishi; Noriomi Matsumura; Masaki Mandai
Journal:  Br J Cancer       Date:  2022-09-06       Impact factor: 9.075

2.  Estrogen Receptor β (ESR2) Transcriptome and Chromatin Binding in a Mantle Cell Lymphoma Tumor Model Reveal the Tumor-Suppressing Mechanisms of Estrogens.

Authors:  Dan Huang; Zhiqiang Huang; Rajitha Indukuri; Chandrashekar Bangalore Revanna; Mattias Berglund; Jiyu Guan; Konstantin Yakimchuk; Anastasios Damdimopoulos; Cecilia Williams; Sam Okret
Journal:  Cancers (Basel)       Date:  2022-06-24       Impact factor: 6.575

3.  POC1A, prognostic biomarker of immunosuppressive microenvironment in cancer.

Authors:  Qi Zhao; Shuping Gao; Xin Chen; Xiyan Zhu
Journal:  Aging (Albany NY)       Date:  2022-06-23       Impact factor: 5.955

Review 4.  Dysregulation of immune checkpoint proteins in hepatocellular carcinoma: Impact on metabolic reprogramming.

Authors:  Kanchan Vishnoi; Sandeep Kumar; Rong Ke; Ajay Rana; Basabi Rana
Journal:  Curr Opin Pharmacol       Date:  2022-05-05       Impact factor: 4.768

5.  PLEK2 promotes osteosarcoma tumorigenesis and metastasis by activating the PI3K/AKT signaling pathway.

Authors:  Yang Liu; Siting Yang; Feng Wang; Zheng Zhou; Wenjing Xu; Jingjing Xie; Linhui Qiao; Yanglin Gu
Journal:  Oncol Lett       Date:  2021-05-18       Impact factor: 2.967

Review 6.  MicroRNAs Are Key Molecules Involved in the Gene Regulation Network of Colorectal Cancer.

Authors:  Fangfang Yang; Guoyun Xuan; Yixin Chen; Lichao Cao; Min Zhao; Chen Wang; Erfei Chen
Journal:  Front Cell Dev Biol       Date:  2022-04-08

7.  P4HA1, a Prognostic Biomarker that Correlates With Immune Infiltrates in Lung Adenocarcinoma and Pan-Cancer.

Authors:  Qi Zhao; Junfeng Liu
Journal:  Front Cell Dev Biol       Date:  2021-12-13

Review 8.  The emerging roles of exosomal long non-coding RNAs in bladder cancer.

Authors:  Qiang Liu
Journal:  J Cell Mol Med       Date:  2022-01-03       Impact factor: 5.310

9.  Identification of Epithelial-Mesenchymal Transition- (EMT-) Related LncRNA for Prognostic Prediction and Risk Stratification in Esophageal Squamous Cell Carcinoma.

Authors:  Peipei Wang; Yueyun Chen; Yue Zheng; Yang Fu; Zhenyu Ding
Journal:  Dis Markers       Date:  2021-10-19       Impact factor: 3.434

10.  A panel of emerging EMT genes identified in malignant mesothelioma.

Authors:  Licun Wu; Shaheer Amjad; Hana Yun; Sendurai Mani; Marc de Perrot
Journal:  Sci Rep       Date:  2022-01-19       Impact factor: 4.379

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