Open AccessA 25 Immune-Related Gene Pair Signature Predicts Overall Survival in Cervical Cancer
Author(s) -
Huaqiu Chen,
Huanyu Xie,
Pengyu Wang,
Shanquan Yan,
Yuanyuan Zhang,
Guang Ming Wang
Publication year - 2022
Publication title -
cancer informatics.
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.606
H-Index - 31
ISSN - 1176-9351
DOI - 10.1177/11769351221090921
Subject(s) - cervical cancer , oncology , proportional hazards model , medicine , gene signature , multivariate statistics , immune system , univariate , immunotherapy , gene , multivariate analysis , cancer , bioinformatics , biology , immunology , gene expression , genetics , statistics , mathematics
Mounting evidence suggests that the tumor microenvironment plays an important role in the occurrence and development of cancer, with immune system dysfunction being closely related to malignant cancers. We aimed to screen immune-related genes (IRGs) to generate an IRG pair (IRGP)-based prognostic signature for cervical cancer (CC). Datasets were obtained from The Cancer Genome Atlas and Gene Expression Omnibus databases and used as training and validation cohorts, respectively. Using the ImmPort database, IRGs in control and CC samples were compared, and differentially expressed genes were identified to construct an IRGP prognostic signature. Based on this analysis, 25 IRGPs were identified as important factors for the prognosis of CC. Univariate and multivariate Cox regression analyses further showed that the IRGP signature was an independent prognostic factor of overall survival. In summary, we successfully constructed an IRGP prognostic signature of CC, providing insights into immunotherapy for CC.