Literature DB >> 33535118

Integrative genome-scale analysis of immune infiltration in esophageal carcinoma.

Yunyi Bian1, Guoshu Bi2, Tengteng Wei3, Guangyu Yao4, Zhencong Chen4, Cheng Zhan5, Hong Fan6.   

Abstract

To explore the molecular mechanism in the esophageal squamous carcinoma (ESCC) environment, we selected datasets of ESCC patients from The Cancer Genome Atlas (TCGA) (n = 78) and explored the infiltration condition of 24 immune cells in each sample. We assorted the microenvironment of ESCC into two Infiltration groups (I and II) and built a random forest classifier model. We showed traits of gene and clinicopathology in the tumor microenvironment (TME) phenotypes systematically. Infiltration I had low infiltration of immune cells and immunomodulators but relatively higher mutation load, while Infiltration II was enriched with cytotoxic T cells and immunosuppressive cells. The upregulation of several immune cytokines like IFN-γ, TNF-β, and PD-L1 was seen in Infiltration II. The infiltration group was an independent predictor of prognosis showed by Multivariable Cox analysis (Infiltration II vs. I, hazard ratio = 2.73, 95% confidence interval = 1.08-6.91, p = 0.03). All the results can be verified in datasets from the Gene Expression Omnibus database (GEO) and our institution (n = 98). Our results demonstrate a synthesis of the infiltration pattern of the immune in ESCC. We reveal the mechanism of TME, which may contribute to the progress of immunotherapy for patients with ESCC.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Esophageal squamous carcinoma; Immune infiltration; Immunotherapy; Random Forest; TME phenotype

Mesh:

Substances:

Year:  2021        PMID: 33535118     DOI: 10.1016/j.intimp.2021.107371

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


  3 in total

1.  Identification and Validation of Immune Infiltration Phenotypes in Laryngeal Squamous Cell Carcinoma by Integrative Multi-Omics Analysis.

Authors:  Li Yan; Xiaole Song; Gang Yang; Lifen Zou; Yi Zhu; Xiaoshen Wang
Journal:  Front Immunol       Date:  2022-02-24       Impact factor: 7.561

2.  Multi-Omics Analysis of Cancer Cell Lines with High/Low Ferroptosis Scores and Development of a Ferroptosis-Related Model for Multiple Cancer Types.

Authors:  Guangyao Shan; Huan Zhang; Guoshu Bi; Yunyi Bian; Jiaqi Liang; Besskaya Valeria; Dejun Zeng; Guangyu Yao; Cheng Zhan; Hong Fan
Journal:  Front Cell Dev Biol       Date:  2021-12-06

3.  Identification and Validation of a Proliferation-Associated Score Model Predicting Survival in Lung Adenocarcinomas.

Authors:  Yunyi Bian; Qihai Sui; Guoshu Bi; Yuansheng Zheng; Mengnan Zhao; Guangyu Yao; Liang Xue; Yi Zhang; Hong Fan
Journal:  Dis Markers       Date:  2021-10-21       Impact factor: 3.434

  3 in total

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