A 25 Immune-Related Gene Pair Signature Predicts Overall Survival in Cervical Cancer. (April 2022)
- Record Type:
- Journal Article
- Title:
- A 25 Immune-Related Gene Pair Signature Predicts Overall Survival in Cervical Cancer. (April 2022)
- Main Title:
- A 25 Immune-Related Gene Pair Signature Predicts Overall Survival in Cervical Cancer
- Authors:
- Chen, Huaqiu
Xie, Huanyu
Wang, Pengyu
Yan, Shanquan
Zhang, Yuanyuan
Wang, Guangming - Abstract:
- 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.
- Is Part Of:
- Cancer informatics. Volume 21(2022)
- Journal:
- Cancer informatics
- Issue:
- Volume 21(2022)
- Issue Display:
- Volume 21, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 21
- Issue:
- 2022
- Issue Sort Value:
- 2022-0021-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-04
- Subjects:
- Cervical cancer -- immune cell infiltration -- prognostic signature -- immune-related gene pairs -- overall survival -- prognosis -- prognostic signature
Bioinformatics -- Periodicals
Biology -- Data processing -- Periodicals
Cancer -- Periodicals
Cancer -- Research -- Periodicals
Computational biology -- Periodicals
570.285 - Journal URLs:
- http://insights.sagepub.com/journal.php?journal_id=10&tab=volume ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/11769351221090921 ↗
- Languages:
- English
- ISSNs:
- 1176-9351
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24221.xml