Literature DB >> 32799114

Construction of an immune-related gene signature for prediction of prognosis in patients with cervical cancer.

Jie Mei1, Yan Xing2, Jinru Lv3, Dingyi Gu1, Jiadong Pan1, Yan Zhang4, Jinhui Liu5.   

Abstract

Cervical cancer (CeCa) is becoming an intractable public health issue worldwide. Emerging evidence uncovers that the tumor progression and prognosis of patients with CeCa are tightly associated with the abundance of tumor-infiltrating immune cells. In the current study, the abundance of tumor-infiltrating immune cells in CeCa samples was assessed by using the ssGSEA, thereby generating two immune-related groups according to the immune status. A 4-gene prognostic signature (RIPOR2, DAAM2, SORBS1, and CXCL8) was next established based on the grouping and its predictive capability was validated by multiple analyses. The TIMER database was used to evaluate the association between 4 hub gene expression and immune cell infiltration. Immunophenoscore (IPS) was used to assess response to immune checkpoint inhibitors in CeCa samples. As the results, a novel grouping strategy based on immune cell infiltration was developed and validated. Based on the grouping, a 4-gene signature was identified to be an independent prognostic indicator for overall survival (OS) in CeCa patients. Among the 4 hub genes, RIPOR2 and CXCL8 expression were significantly correlated with immune cell infiltration. Besides, higher immune checkpoints expression and IPS scores were found in the 4-gene signature low-risk group, suggesting a more immunoactive status that tended to respond to immune checkpoint inhibitors. To sum up, a novel immune-related signature is established to predict CeCa patients' prognosis and also associated with response to immune checkpoint inhibitors, which might be a promising prognostic stratification strategy and innovate therapeutic management.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cervical cancer; Immune checkpoint inhibitor response; Immune signature; Prognosis; Risk score

Mesh:

Substances:

Year:  2020        PMID: 32799114     DOI: 10.1016/j.intimp.2020.106882

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


  15 in total

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Authors:  Xiaozeng Lin; Yan Gu; Yingying Su; Ying Dong; Pierre Major; Anil Kapoor; Damu Tang
Journal:  Cancers (Basel)       Date:  2022-06-05       Impact factor: 6.575

3.  Development and Validation of an Immune-Related Prognostic Signature in Cervical Cancer.

Authors:  Rongjia Su; Chengwen Jin; Hualei Bu; Jiangdong Xiang; Lina Zhou; Chengjuan Jin
Journal:  Front Oncol       Date:  2022-05-16       Impact factor: 5.738

4.  Multi-Omics Approaches Identify Necroptosis‑Related Prognostic Signature and Associated Regulatory Axis in Cervical Cancer.

Authors:  JuanMei Zhan; Fenfang Yang; Cenhong Ge; Xiaojia Yu
Journal:  Int J Gen Med       Date:  2022-05-13

5.  Development and Validation of a Prognostic Classifier Based on Lipid Metabolism-Related Genes for Breast Cancer.

Authors:  Nan Wang; Yuanting Gu; Lin Li; Jiangrui Chi; Xinwei Liu; Youyi Xiong; Chaochao Zhong
Journal:  J Inflamm Res       Date:  2022-06-14

6.  Identification of a Six-Gene Signature for Predicting the Overall Survival of Cervical Cancer Patients.

Authors:  Xiao Huo; Xiaoshuang Zhou; Peng Peng; Mei Yu; Ying Zhang; Jiaxin Yang; Dongyan Cao; Hengzi Sun; Keng Shen
Journal:  Onco Targets Ther       Date:  2021-02-05       Impact factor: 4.147

7.  Effective Prediction of Prostate Cancer Recurrence through the IQGAP1 Network.

Authors:  Yan Gu; Xiaozeng Lin; Anil Kapoor; Taosha Li; Pierre Major; Damu Tang
Journal:  Cancers (Basel)       Date:  2021-01-23       Impact factor: 6.639

8.  Establishing a Prognostic Signature Based on Epithelial-Mesenchymal Transition-Related Genes for Endometrial Cancer Patients.

Authors:  Jinhui Liu; Guoliang Cui; Shuning Shen; Feng Gao; Hongjun Zhu; Yinghua Xu
Journal:  Front Immunol       Date:  2022-01-14       Impact factor: 7.561

Review 9.  Formins in Human Disease.

Authors:  Leticia Labat-de-Hoz; Miguel A Alonso
Journal:  Cells       Date:  2021-09-27       Impact factor: 6.600

10.  Aryl hydrocarbon receptor is a prognostic biomarker and is correlated with immune responses in cervical cancer.

Authors:  Jiasui Wang; Yilidana Mijiti; Yalin Chen; Zaoling Liu
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

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