Overexpression Correlates with Poor Prognosis and Immune Infiltrates in Ovarian Cancer

Overview

Journal Int J Gen Med

Publisher Dove Medical Press

Specialty General Medicine

Date 2022 Feb 28

PMID 35221714

Authors

Jiayan Lou

Lingjia Wei

He Wang

Affiliations

Soon will be listed here.

Abstract

Introduction: Ovarian cancer (OV) is a common malignancy affecting women globally; recognizing useful biomarkers has been one of the key priorities. Since was reported to be relevant to tumor progression in a variety of cancers, but rarely in ovarian cancer, we explored the roles of in OV.

Methods: RNA sequencing data from TCGA and GEO were utilized to analyze the expression of and related differentially expressed genes (DEGs) in ovarian cancer. We performed GO, GSEA and immune cell infiltration analysis on -associated DEGs. Correlation of methylation levels and its mRNA expression was analyzed by cBioPortal and UCSC Xena databases. To assess the prognostic impact of , Kaplan-Meier plot analysis and Cox regression analysis were performed; ROC curves and nomogram were also plotted.

Results: Compared to normal tissues, was highly expressed in ovarian cancer. The methylation level of negatively correlated with the expression. Moreover, high expression of was correlated with poor prognosis in OV patients and associated with immune infiltrates.

Conclusion: High expression could be a promising biomarker for poor outcomes in OV and correlated with tumor immune cells infiltration. The findings might help illuminate the function of in tumorigenesis and lay a foundation for further research.

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References

Uhlen M, Fagerberg L, Hallstrom B, Lindskog C, Oksvold P, Mardinoglu A . Proteomics. Tissue-based map of the human proteome. Science. 2015; 347(6220):1260419. DOI: 10.1126/science.1260419. View

Li T, Fan J, Wang B, Traugh N, Chen Q, Liu J . TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells. Cancer Res. 2017; 77(21):e108-e110. PMC: 6042652. DOI: 10.1158/0008-5472.CAN-17-0307. View

Nacarelli T, Fukumoto T, Zundell J, Fatkhutdinov N, Jean S, Cadungog M . NAMPT Inhibition Suppresses Cancer Stem-like Cells Associated with Therapy-Induced Senescence in Ovarian Cancer. Cancer Res. 2019; 80(4):890-900. PMC: 7024650. DOI: 10.1158/0008-5472.CAN-19-2830. View

Love M, Huber W, Anders S . Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014; 15(12):550. PMC: 4302049. DOI: 10.1186/s13059-014-0550-8. View

Goldman M, Craft B, Hastie M, Repecka K, McDade F, Kamath A . Visualizing and interpreting cancer genomics data via the Xena platform. Nat Biotechnol. 2020; 38(6):675-678. PMC: 7386072. DOI: 10.1038/s41587-020-0546-8. View

Caren H, Djos A, Nethander M, Sjoberg R, Kogner P, Enstrom C . Identification of epigenetically regulated genes that predict patient outcome in neuroblastoma. BMC Cancer. 2011; 11:66. PMC: 3045360. DOI: 10.1186/1471-2407-11-66. View

Xiao L, Peng Z, Zhu A, Xue R, Lu R, Mi J . Inhibition of RUNX1 promotes cisplatin-induced apoptosis in ovarian cancer cells. Biochem Pharmacol. 2020; 180:114116. DOI: 10.1016/j.bcp.2020.114116. View

Wu L, Ling Z, Wang H, Wang X, Gui J . Upregulation of Promotes Cell Proliferation, Migration, and Predicts Poor Prognosis in Ovarian Cancer Through Regulating Epithelial-Mesenchymal Transformation. Cancer Biother Radiopharm. 2019; 34(10):642-649. DOI: 10.1089/cbr.2019.2824. View

Anderson N, Simon M . The tumor microenvironment. Curr Biol. 2020; 30(16):R921-R925. PMC: 8194051. DOI: 10.1016/j.cub.2020.06.081. View

10.

He M, Liu S, Gallolu Kankanamalage S, Borromeo M, Girard L, Gazdar A . The Epithelial Sodium Channel (αENaC) Is a Downstream Therapeutic Target of ASCL1 in Pulmonary Neuroendocrine Tumors. Transl Oncol. 2018; 11(2):292-299. PMC: 5884185. DOI: 10.1016/j.tranon.2018.01.004. View

11.

Hanzelmann S, Castelo R, Guinney J . GSVA: gene set variation analysis for microarray and RNA-seq data. BMC Bioinformatics. 2013; 14:7. PMC: 3618321. DOI: 10.1186/1471-2105-14-7. View

12.

Ding W, Chen G, Shi T . Integrative analysis identifies potential DNA methylation biomarkers for pan-cancer diagnosis and prognosis. Epigenetics. 2019; 14(1):67-80. PMC: 6380428. DOI: 10.1080/15592294.2019.1568178. View

13.

Pesce S, Greppi M, Tabellini G, Rampinelli F, Parolini S, Olive D . Identification of a subset of human natural killer cells expressing high levels of programmed death 1: A phenotypic and functional characterization. J Allergy Clin Immunol. 2016; 139(1):335-346.e3. DOI: 10.1016/j.jaci.2016.04.025. View

14.

Bray F, Ferlay J, Soerjomataram I, Siegel R, Torre L, Jemal A . Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018; 68(6):394-424. DOI: 10.3322/caac.21492. View

15.

Jiang Y, Wang C, Zhou S . Targeting tumor microenvironment in ovarian cancer: Premise and promise. Biochim Biophys Acta Rev Cancer. 2020; 1873(2):188361. DOI: 10.1016/j.bbcan.2020.188361. View

16.

Zhang X, Su Y, Wu X, Xiao R, Wu Y, Yang B . Integrative analysis of the common genetic characteristics in ovarian cancer stem cells sorted by multiple approaches. J Ovarian Res. 2020; 13(1):116. PMC: 7519480. DOI: 10.1186/s13048-020-00715-7. View

17.

Mariotti F, Petrini S, Ingegnere T, Tumino N, Besi F, Scordamaglia F . PD-1 in human NK cells: evidence of cytoplasmic mRNA and protein expression. Oncoimmunology. 2019; 8(3):1557030. PMC: 6350684. DOI: 10.1080/2162402X.2018.1557030. View

18.

Hinshaw D, Shevde L . The Tumor Microenvironment Innately Modulates Cancer Progression. Cancer Res. 2019; 79(18):4557-4566. PMC: 6744958. DOI: 10.1158/0008-5472.CAN-18-3962. View

19.

Natanzon Y, Goode E, Cunningham J . Epigenetics in ovarian cancer. Semin Cancer Biol. 2017; 51:160-169. PMC: 5976557. DOI: 10.1016/j.semcancer.2017.08.003. View

20.

Tang Z, Li C, Kang B, Gao G, Li C, Zhang Z . GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses. Nucleic Acids Res. 2017; 45(W1):W98-W102. PMC: 5570223. DOI: 10.1093/nar/gkx247. View