Identification of GSN and LAMC2 as Key Prognostic Genes of Bladder Cancer by Integrated Bioinformatics Analysis
Open Access
Abstract
Bladder cancer is a common malignancy with mechanisms of pathogenesis and progression. This study aimed to identify the prognostic hub genes, which are the central modulators to regulate the progression and proliferation in the specific subtype of bladder cancer. The identification of the candidate hub gene was performed by weighted gene co-expression network analysis to construct a free-scale gene co-expression network. The gene expression profile of GSE97768 from the Gene Expression Omnibus database was used. The association between prognosis and hub gene was evaluated by The Cancer Genome Atlas database. Four gene-expression modules were significantly related to bladder cancer disease: the red module (human adenocarcinoma lymph node metastasis), the darkturquioise module (grade 2 carcinoma), the lightgreen module (grade 3 carcinoma), and the royalblue module (transitional cell carcinoma lymphatic metastasis). Based on betweenness centrality and survival analysis, we identified laminin subunit gamma-2 (LAMC2) in the grade 2 carcinoma, gelsolin (GSN) in the grade 3 carcinoma, and homeodomain-interacting protein kinase 2 (HIPK2) in the transitional cell carcinoma lymphatic metastasis. Subsequently, the protein levels of LAMC2 and GSN were respectively down-regulated and up-regulated in tumor tissue with the Human Protein Atlas (HPA) database. Our results suggested that LAMC2 and GSN are the central modulators to transfer information in the specific subtype of the disease.Keywords
Funding Information
- Ministry of Science and Technology, Taiwan (MOST 108-2320-B-039-042)
- China Medical University and Asia University (CMU108-ASIA-04)
This publication has 69 references indexed in Scilit:
- SurvExpress: An Online Biomarker Validation Tool and Database for Cancer Gene Expression Data Using Survival AnalysisPLOS ONE, 2013
- A Tumor Suppressor Complex with GAP Activity for the Rag GTPases That Signal Amino Acid Sufficiency to mTORC1Science, 2013
- ExPASy: SIB bioinformatics resource portalNucleic Acids Research, 2012
- The cBio Cancer Genomics Portal: An Open Platform for Exploring Multidimensional Cancer Genomics DataCancer Discovery, 2012
- Roles for Growth Factors in Cancer ProgressionPhysiology, 2010
- The cancer genomeNature, 2009
- Profiling Bladder Cancer Organ Site-Specific Metastasis Identifies LAMC2 as a Novel Biomarker of Hematogenous DisseminationThe American Journal of Pathology, 2009
- WGCNA: an R package for weighted correlation network analysisBMC Bioinformatics, 2008
- Analysis of oncogenic signaling networks in glioblastoma identifies ASPM as a molecular targetProceedings of the National Academy of Sciences, 2006
- Gene Expression Profiling Predicts Survival in Conventional Renal Cell CarcinomaPLOS Medicine, 2005