Literature DB >> 32795900

A prognostic signature based on immune-related genes for cervical squamous cell carcinoma and endocervical adenocarcinoma.

Jinhui Liu1, Zhipeng Wu2, Yichun Wang3, Sipei Nie1, Rui Sun1, Jing Yang1, Wenjun Cheng4.   

Abstract

Cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) is the fourth commonest female malignancy worldwide. CESC progresses in immune-microenvironment mainly composed of infiltrating immune and stromal cells. Here, we performed an integrated analysis incorporating the expression profiles from the Cancer Genome Atlas (TCGA) database and scores of immune and stromal cells calculated by Estimation of Stromal and Immune cells in Malignant Tumours using Expression data (ESTIMATE) algorithm. A two-gene signature (CD1C and CD6 genes) was established to predict the prognosis of CESC. Based on this signature, patients were divided into the high- and low-risk groups, and this signature showed good prognostic performance according to the results of Kaplan-Meier analysis and receiver operating characteristic (ROC) analysis in train set and two validation sets. A nomogram was built for evaluating the clinical applicability of this signature. In addition, based on Tumor Immune Estimation Resource (TIMER) database, 2 hub genes showed negative correlations with tumor purity and positive correlations with infiltrating levels of immune filtrating cells. What's more, we propose new treatment strategies for the two prognostic subtypes. Low- risk patients were found presenting with a higher level of immune checkpoint molecules and showing higher immunogenicity in immunophenoscore (IPS) analysis, which indicated a better response for immunotherapy. Meanwhile, estimated by Genomics of Drug Sensitivity in Cancer (GDSC) database, the high-risk patients showed sensitive responses to five chemotherapy drugs. Finally, 10 candidate small-molecule drugs for CESC were defined. In summary, the CD1C-CD6 signature can accurately predict the prognosis of CESC.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CESC; ESTIMATE algorithm; Immune microenvironment; Prognosis; TCGA

Mesh:

Substances:

Year:  2020        PMID: 32795900     DOI: 10.1016/j.intimp.2020.106884

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


  12 in total

1.  Multi-Omics Data Analyses Construct a Six Immune-Related Genes Prognostic Model for Cervical Cancer in Tumor Microenvironment.

Authors:  Fangfang Xu; Jiacheng Shen; Shaohua Xu
Journal:  Front Genet       Date:  2021-05-24       Impact factor: 4.599

2.  An Innovative Immune Score-Based Prognostic Nomogram for Patients with Cervical Cancer.

Authors:  Xingling Qi; Yipeng Fu; Meng Zhang; Chong Lu; Yumeng Wang; Jing Peng; Guiling Li
Journal:  Biomed Res Int       Date:  2020-11-07       Impact factor: 3.411

3.  Tumor purity as a prognosis and immunotherapy relevant feature in cervical cancer.

Authors:  Yali Deng; Zewen Song; Li Huang; Zhenni Guo; Binghua Tong; Meiqing Sun; Jin Zhao; Huina Zhang; Zhen Zhang; Guoyin Li
Journal:  Aging (Albany NY)       Date:  2021-11-29       Impact factor: 5.682

4.  Development of a Novel Immune Infiltration-Based Gene Signature to Predict Prognosis and Immunotherapy Response of Patients With Cervical Cancer.

Authors:  Sihui Yu; Xi Li; Jiawen Zhang; Sufang Wu
Journal:  Front Immunol       Date:  2021-09-03       Impact factor: 7.561

5.  Characterization of Interplay Between Autophagy and Ferroptosis and Their Synergistical Roles on Manipulating Immunological Tumor Microenvironment in Squamous Cell Carcinomas.

Authors:  Lijie Chen; Xing Niu; Xue Qiao; Sai Liu; Hongmei Ma; Xueqing Shi; Xuemei He; Ming Zhong
Journal:  Front Immunol       Date:  2022-02-04       Impact factor: 7.561

6.  Bioinformatics Screening of Potential Biomarkers from mRNA Expression Profiles to Discover Drug Targets and Agents for Cervical Cancer.

Authors:  Md Selim Reza; Md Harun-Or-Roshid; Md Ariful Islam; Md Alim Hossen; Md Tofazzal Hossain; Shengzhong Feng; Wenhui Xi; Md Nurul Haque Mollah; Yanjie Wei
Journal:  Int J Mol Sci       Date:  2022-04-02       Impact factor: 5.923

7.  Six-lncRNA Immune Prognostic Signature for Cervical Cancer.

Authors:  Qian Chen; Lang Hu; Dongping Huang; Kaihua Chen; Xiaoqiang Qiu; Bingqing Qiu
Journal:  Front Genet       Date:  2020-10-14       Impact factor: 4.599

8.  An Immune-Gene-Based Classifier Predicts Prognosis in Patients With Cervical Squamous Cell Carcinoma.

Authors:  Huixia Yang; Xiaoyan Han; Zengping Hao
Journal:  Front Mol Biosci       Date:  2021-07-05

9.  Autophagy characteristics and establishment of autophagy prognostic models in lung adenocarcinoma and lung squamous cell carcinoma.

Authors:  Zhubei Chen; Hui Xiong; Hao Shen; Qingsheng You
Journal:  PLoS One       Date:  2022-03-25       Impact factor: 3.240

10.  MiRNA based tumor mutation burden diagnostic and prognostic prediction models for endometrial cancer.

Authors:  Nan Lu; Jinhui Liu; Chengjian Ji; Yichun Wang; Zhipeng Wu; Shuning Yuan; Yan Xing; Feiyang Diao
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

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