Literature DB >> 32620623

Novel Prognostic Factor for Uveal Melanoma: Bioinformatics Analysis of Three Independent Cohorts.

Suji Choi1, Mihyang Ha1, Jung Sub Lee2, Hye Jin Heo3, Ga Hyun Kim3, Sae-Ock Oh3, Jae Jung Lee4, Tae Sik Goh5, Yun Hak Kim6,7.   

Abstract

BACKGROUND/AIM: Because 50% of uveal melanoma metastasize within 10 years of diagnosis, there is urgent need for accurate prognostic factors.
MATERIALS AND METHODS: To identify genes that can act as prognostic factors in uveal melanoma, we performed survival analyses using three independent cohorts. Using log-rank test and univariate cox regression, genes which could stratify the prognosis in all cohorts simultaneously depending on their expression levels were selected as novel biomarkers. Hub genes were obtained by analyzing the interaction and relationship between the selected genes using String and Cytoscape. Additionally, prognostic power was calculated by using C-indices and AUC.
RESULTS: A total of 37 oncogene-like and 14 tumor suppressor-like genes were selected. Protein-protein analysis revealed that NDUFB9, NDUFV2, CYC1 among oncogene-like genes, CTNNB1 among tumor suppressor-like genes were found to be hub genes and core biomarkers in uveal melanoma.
CONCLUSION: NDUFB9, NDUFV2, CYC1 and CTNNB1 genes may act as prognostic factors in uveal melanoma. Copyright
© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  Gene Expression Omnibus; The Cancer Genome Atlas; Uveal melanoma; bioinformatics; prognosis

Year:  2020        PMID: 32620623     DOI: 10.21873/anticanres.14373

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  5 in total

1.  A Novel 8-Gene Prognostic Signature for Survival Prediction of Uveal Melanoma.

Authors:  Zhongjun Tang; Kebo Cai
Journal:  Anal Cell Pathol (Amst)       Date:  2021-08-14       Impact factor: 2.916

Review 2.  Prognostic Biomarkers in Uveal Melanoma: The Status Quo, Recent Advances and Future Directions.

Authors:  Nuno Jorge Lamas; Arnaud Martel; Sacha Nahon-Estève; Samantha Goffinet; Adam Macocco; Corine Bertolotto; Sandra Lassalle; Paul Hofman
Journal:  Cancers (Basel)       Date:  2021-12-25       Impact factor: 6.639

3.  Proteomics analysis: inhibiting the expression of P62 protein by chloroquine combined with dacarbazine can reduce the malignant progression of uveal melanoma.

Authors:  Xifeng Fei; Xiangtong Xie; Ruwei Qin; Anqi Wang; Xuan Meng; Fei Sun; Yifan Zhao; Dongyi Jiang; Hanchun Chen; Qiang Huang; Xiaoyan Ji; Zhimin Wang
Journal:  BMC Cancer       Date:  2022-04-14       Impact factor: 4.430

4.  Mitochondrial-Related Transcriptome Feature Correlates with Prognosis, Vascular Invasion, Tumor Microenvironment, and Treatment Response in Hepatocellular Carcinoma.

Authors:  Yizhou Wang; Feihong Song; Xiaofeng Zhang; Cheng Yang
Journal:  Oxid Med Cell Longev       Date:  2022-04-30       Impact factor: 7.310

5.  Genome-Wide Association Study Identifies Multiple Susceptibility Loci for Malignant Neoplasms of the Brain in Taiwan.

Authors:  Jang-Chun Lin; Yi-Chieh Wu; Fu-Chi Yang; Jo-Ting Tsai; David Yc Huang; Wei-Hsiu Liu
Journal:  J Pers Med       Date:  2022-07-18
  5 in total

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