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Cross-validation of survival associated biomarkers in gastric cancer using transcriptomic data of 1,065 patients
Oncotarget · 2016 · Vol. 7(31) · pp. 49322–49333
András Szász(HUN-REN Research Centre for Natural Sciences)András Lánczky(HUN-REN Research Centre for Natural Sciences)Ádám Nagy(HUN-REN Research Centre for Natural Sciences)Susann Förster(Max Delbrück Center)Kim Hark(National Cancer Institute)Jeffrey E. Green(National Cancer Institute)Alex Boussioutas(University of Melbourne)Rita A. Busuttil(University of Melbourne)András Szabó(Semmelweis University)Balázs Győrffy✉(Semmelweis University)
Abstract
The major advantage of our analysis is that we evaluated all genes in the same set of patients thereby making direct comparison of the markers feasible. The best performing genes include BIRC5, CASP3, CTNNB1, TIMP-1, MMP-2, SIRT, and VEGF.
RNA modifications and cancerGastric Cancer Management and OutcomesCholangiocarcinoma and Gallbladder Cancer StudiesMedicineInternal medicineCancerHazard ratioOncologyBiomarkerDatabaseBiologyConfidence interval
MeSH terms
SurvivinFemaleHumansMaleStomach NeoplasmsBiomarkers, TumorGene Expression Regulation, NeoplasticProportional Hazards ModelsTreatment OutcomeTissue Inhibitor of Metalloproteinase-1Oligonucleotide Array Sequence AnalysisMatrix Metalloproteinase 2Gene Expression ProfilingVascular Endothelial Growth Factor AInhibitor of Apoptosis Proteins
Funding
- Hungarian Scientific Research Fund
- Magyar Tudományos Akadémia
Citations
1,061
FWCI
73.45
field-weighted impact
References
51
Percentile
100%
vs. same field & year
Citations per year
References
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The Lancet · 2010 · 7,196 citations
Online Survival Analysis Software to Assess the Prognostic Value of Biomarkers Using Transcriptomic Data in Non-Small-Cell Lung Cancer
PLoS ONE · 2013 · 1,850 citations
HER2 in gastric cancer: a new prognostic factor and a novel therapeutic target
Annals of Oncology · 2008 · 1,169 citations
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