Immunogenomic Identification for Predicting the Prognosis of Cervical Cancer Patients.


Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
28 Feb 2021
Historique:
received: 03 02 2021
revised: 22 02 2021
accepted: 24 02 2021
entrez: 6 3 2021
pubmed: 7 3 2021
medline: 13 5 2021
Statut: epublish

Résumé

Cervical cancer is primarily caused by the infection of high-risk human papillomavirus (hrHPV). Moreover, tumor immune microenvironment plays a significant role in the tumorigenesis of cervical cancer. Therefore, it is necessary to comprehensively identify predictive biomarkers from immunogenomics associated with cervical cancer prognosis. The Cancer Genome Atlas (TCGA) public database has stored abundant sequencing or microarray data, and clinical data, offering a feasible and reliable approach for this study. In the present study, gene profile and clinical data were downloaded from TCGA, and the Immunology Database and Analysis Portal (ImmPort) database. Wilcoxon-test was used to compare the difference in gene expression. Univariate analysis was adopted to identify immune-related genes (IRGs) and transcription factors (TFs) correlated with survival. A prognostic prediction model was established by multivariate cox analysis. The regulatory network was constructed and visualized by correlation analysis and Cytoscape, respectively. Gene functional enrichment analysis was performed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). A total of 204 differentially expressed IRGs were identified, and 22 of them were significantly associated with the survival of cervical cancer. These 22 IRGs were actively involved in the JAK-STAT pathway. A prognostic model based on 10 IRGs (

Identifiants

pubmed: 33671013
pii: ijms22052442
doi: 10.3390/ijms22052442
pmc: PMC7957482
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : China Scholarship Council
ID : Qun Wang

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Auteurs

Qun Wang (Q)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, 80377 Munich, Germany.

Aurelia Vattai (A)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, 80377 Munich, Germany.

Theresa Vilsmaier (T)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, 80377 Munich, Germany.

Till Kaltofen (T)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, 80377 Munich, Germany.

Alexander Steger (A)

Klinik für Innere Medizin I, Technische Universität München, 80333 Munich, Germany.

Doris Mayr (D)

Department of Pathology, LMU Munich, 80377 Munich, Germany.

Sven Mahner (S)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, 80377 Munich, Germany.

Udo Jeschke (U)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, 80377 Munich, Germany.
Department of Obstetrics and Gynaecology, University Hospital Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany.

Helene Hildegard Heidegger (H)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, 80377 Munich, Germany.

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