Literature DB >> 33912448

Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis.

Jie Jiang1, Chong Liu1, Guoyong Xu1, Tuo Liang1, Chaojie Yu1, Shian Liao1, Zide Zhang1, Zhaojun Lu1, Zequn Wang1, Jiarui Chen1, Tianyou Chen1, Hao Li1, Xinli Zhan1.   

Abstract

INTRODUCTION: This study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.
MATERIALS AND METHODS: Gene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene's protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.
RESULTS: A total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.
CONCLUSION: FOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction.
Copyright © 2021 Jiang, Liu, Xu, Liang, Yu, Liao, Zhang, Lu, Wang, Chen, Chen, Li and Zhan.

Entities:  

Keywords:  biomarker; differential expression gene analysis; immunohistochemistry; melanoma; predict prognosis; weighted gene co-expression network analysis

Year:  2021        PMID: 33912448      PMCID: PMC8072149          DOI: 10.3389/fonc.2021.621430

Source DB:  PubMed          Journal:  Front Oncol        ISSN: 2234-943X            Impact factor:   6.244


  42 in total

Review 1.  Melanoma: epidemiology, risk factors, pathogenesis, diagnosis and classification.

Authors:  Marco Rastrelli; Saveria Tropea; Carlo Riccardo Rossi; Mauro Alaibac
Journal:  In Vivo       Date:  2014 Nov-Dec       Impact factor: 2.155

2.  FOXM1 promotes the warburg effect and pancreatic cancer progression via transactivation of LDHA expression.

Authors:  Jiujie Cui; Min Shi; Dacheng Xie; Daoyan Wei; Zhiliang Jia; Shaojiang Zheng; Yong Gao; Suyun Huang; Keping Xie
Journal:  Clin Cancer Res       Date:  2014-03-14       Impact factor: 12.531

Review 3.  Introduction to the Gene Expression Analysis.

Authors:  Ignacio San Segundo-Val; Catalina S Sanz-Lozano
Journal:  Methods Mol Biol       Date:  2016

4.  limma powers differential expression analyses for RNA-sequencing and microarray studies.

Authors:  Matthew E Ritchie; Belinda Phipson; Di Wu; Yifang Hu; Charity W Law; Wei Shi; Gordon K Smyth
Journal:  Nucleic Acids Res       Date:  2015-01-20       Impact factor: 16.971

Review 5.  Transcriptional regulation and its misregulation in disease.

Authors:  Tong Ihn Lee; Richard A Young
Journal:  Cell       Date:  2013-03-14       Impact factor: 41.582

6.  Identification of Coding and Long Noncoding RNAs Differentially Expressed in Tumors and Preferentially Expressed in Healthy Tissues.

Authors:  Juan P Unfried; Guillermo Serrano; Beatriz Suárez; Paloma Sangro; Valeria Ferretti; Celia Prior; Loreto Boix; Jordi Bruix; Bruno Sangro; Víctor Segura; Puri Fortes
Journal:  Cancer Res       Date:  2019-08-06       Impact factor: 12.701

7.  Kinesin family member 20A is a novel melanoma-associated antigen.

Authors:  Junji Yamashita; Satoshi Fukushima; Masatoshi Jinnin; Noritoshi Honda; Katunari Makino; Keisuke Sakai; Shinichi Masuguchi; Yuji Inoue; Hironobu Ihn
Journal:  Acta Derm Venereol       Date:  2012-11       Impact factor: 4.437

8.  FOXM1 expression is significantly associated with chemotherapy resistance and adverse prognosis in non-serous epithelial ovarian cancer patients.

Authors:  Renata A Tassi; Paola Todeschini; Eric R Siegel; Stefano Calza; Paolo Cappella; Laura Ardighieri; Moris Cadei; Mattia Bugatti; Chiara Romani; Elisabetta Bandiera; Laura Zanotti; Laura Tassone; Donatella Guarino; Concetta Santonocito; Ettore D Capoluongo; Luca Beltrame; Eugenio Erba; Sergio Marchini; Maurizio D'Incalci; Carla Donzelli; Alessandro D Santin; Sergio Pecorelli; Enrico Sartori; Eliana Bignotti; Franco Odicino; Antonella Ravaggi
Journal:  J Exp Clin Cancer Res       Date:  2017-05-08

9.  Epigenetically modulated FOXM1 suppresses dendritic cell maturation in pancreatic cancer and colon cancer.

Authors:  Zhongshi Zhou; Hongdan Chen; Rui Xie; Hongjie Wang; Senlin Li; Qianqian Xu; Na Xu; Qi Cheng; Ying Qian; Rongrong Huang; Zekun Shao; Ming Xiang
Journal:  Mol Oncol       Date:  2019-02-15       Impact factor: 6.603

10.  A lncRNA-SWI/SNF complex crosstalk controls transcriptional activation at specific promoter regions.

Authors:  Elena Grossi; Ivan Raimondi; Enrique Goñi; Jovanna González; Francesco P Marchese; Vicente Chapaprieta; José I Martín-Subero; Shuling Guo; Maite Huarte
Journal:  Nat Commun       Date:  2020-02-18       Impact factor: 14.919

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  5 in total

Review 1.  Bioinformatic and Machine Learning Applications in Melanoma Risk Assessment and Prognosis: A Literature Review.

Authors:  Emily Z Ma; Karl M Hoegler; Albert E Zhou
Journal:  Genes (Basel)       Date:  2021-10-30       Impact factor: 4.096

2.  Comprehensive Analysis of Alteration Landscape and Its Clinical Significance of Mitochondrial Energy Metabolism Pathway-Related Genes in Lung Cancers.

Authors:  Zhen Ye; Huanhuan Zhang; Fanhua Kong; Jing Lan; Shuying Yi; Wenshuang Jia; Shu Zheng; Yuna Guo; Xianquan Zhan
Journal:  Oxid Med Cell Longev       Date:  2021-12-20       Impact factor: 6.543

3.  Dysregulation of SAA1, TUBA8 and Monocytes Are Key Factors in Ankylosing Spondylitis With Femoral Head Necrosis.

Authors:  Jie Jiang; Xinli Zhan; Tuo Liang; Liyi Chen; Shengsheng Huang; Xuhua Sun; Wenyong Jiang; Jiarui Chen; Tianyou Chen; Hao Li; Yuanlin Yao; Shaofeng Wu; Jichong Zhu; Chong Liu
Journal:  Front Immunol       Date:  2022-01-18       Impact factor: 7.561

4.  Novel Prognostic Biomarkers in Gastric Cancer: CGB5, MKNK2, and PAPPA2.

Authors:  Min Qin; Zhihai Liang; Heping Qin; Yifang Huo; Qing Wu; Huiying Yang; Guodu Tang
Journal:  Front Oncol       Date:  2021-06-15       Impact factor: 6.244

5.  A seven-gene signature and the C-C motif chemokine receptor family genes are the sarcoma-related immune genes.

Authors:  Jiarui Chen; Tuo Liang; Jiemei Cen; Jie Jiang; Shixin Pan; Shengsheng Huang; Liyi Chen; Xuhua Sun; Hao Li; Tianyou Chen; Wei Liang; Shian Liao; Chaojie Yu; Yuanlin Yao; Zhen Ye; Wuhua Chen; Hao Guo; Xinli Zhan; Chong Liu
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

  5 in total

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