Literature DB >> 32080971

Development and validation of autophagy-related-gene biomarker and nomogram for predicting the survival of cutaneous melanoma.

Qi Wan1, Lin Jin1, Yaru Su1, Ying Liu1, Chaoyang Li1, Zhichong Wang1.   

Abstract

Autophagy plays a critical role in cutaneous melanoma, but the prognostic research of differentially expressed autophagy-related genes (DEARGs) in melanoma is lacking. Therefore, autophagy-related gene expression data of 630 melanoma patients were obtained from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas database. The DEARGs were identified by "limma" package in R software. Best survival analysis and the least absolute shrinkage and selection operator method were performed to identify a robust 7-DEARG signature as well as construct nomogram associated with the clinical characteristics and validation in internal and external sets. This 7-DEARG signature could be regarded as an independent prognostic signature in clinical setting, and nomogram may supply a more simple and accurate prediction for the prognosis of melanoma. Moreover, 5 cancer hallmarks and 18 potential compounds are commonly enriched in high-risk expression phenotype. Thus, our finding provides new clinical evidences for the accurate diagnosis and identifies a potential prognostic autophagy-related marker for the treatment of melanoma.
© 2020 International Union of Biochemistry and Molecular Biology.

Entities:  

Keywords:  differentially expressed autophagy-related genes; melanoma; nomogram; prognostic biomarker

Year:  2020        PMID: 32080971     DOI: 10.1002/iub.2258

Source DB:  PubMed          Journal:  IUBMB Life        ISSN: 1521-6543            Impact factor:   3.885


  4 in total

1.  Bioinformatics analysis based on ferroptosis-related lncRNAs: construction of a clinical prognostic model for nasopharyngeal carcinoma and correlation analysis.

Authors:  Zuwen Dai; Yi Zhong
Journal:  Transl Cancer Res       Date:  2022-06       Impact factor: 0.496

2.  Construction of autophagy prognostic signature and analysis of prospective molecular mechanisms in skin cutaneous melanoma patients.

Authors:  Shian Liao; Juliang He; Chong Liu; Zide Zhang; Hongyu Liao; Zuowei Liao; Chaojie Yu; Jian Guan; Hao Mo; Zhenchao Yuan; Tuo Liang; Zhaojun Lu; Guoyong Xu; Zequn Wang; Jiarui Chen; Jie Jiang; Xinli Zhan
Journal:  Medicine (Baltimore)       Date:  2021-06-04       Impact factor: 1.817

Review 3.  Non-Apoptotic Cell Death Signaling Pathways in Melanoma.

Authors:  Mariusz L Hartman
Journal:  Int J Mol Sci       Date:  2020-04-23       Impact factor: 5.923

4.  A Nomogram Combining a Four-Gene Biomarker and Clinical Factors for Predicting Survival of Melanoma.

Authors:  Chuan Zhang; Dan Dang; Yuqian Wang; Xianling Cong
Journal:  Front Oncol       Date:  2021-04-01       Impact factor: 6.244

  4 in total

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