ArticleWorld journal of gastroenterology2018
Integrated genomic analysis for prediction of survival for patients with liver cancer using The Cancer Genome Atlas.
Article in World journal of gastroenterology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Genome-wide interrogation of structural variation reveals novel African-specific prostate cancer oncogenic drivers.Genome medicine · 2022Article
- Low adipocyte hepatocellular carcinoma is associated with aggressive cancer biology and with worse survival.American journal of cancer research · 2022Article
- Small Nucleolar RNA Host Gene 1 (SNHG1) and Chromosome 2 Open Reading Frame 48 (C2orf48) as Potential Prognostic Signatures for Liver Cancer by Constructing Regulatory Networks.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
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Authors and funding
7 authors.
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Abstract
aimTo evaluate the prognostic power of different molecular data in liver cancer.
methodsCox regression screen and least absolute shrinkage and selection operator were performed to select significant prognostic variables. Then the concordance index was calculated to evaluate the prognostic power. For the combination data, based on the clinical cox model, molecular features that better fit the model were combined to calculate the concordance index. Prognostic models were built based on the arithmetic summation of the significant variables. Kaplan-Meier survival curve and log-rank test were performed to compare the survival difference. Then a heatmap was constructed and gene set enrichment analysis was performed for pathway analysis.
resultsThe mRNA data were the most informative prognostic variables in all kinds of omics data in liver cancer, with the highest concordance index (C-index) of 0.61. For the copy number variation, methylation and miRNA data, the combination of molecular data with clinical data could significantly boost the prediction accuracy of the molecular data alone (
conclusionIn all kinds of omics data in liver cancer, the mRNA data might be the most informative prognostic variable. The combination of clinical data with molecular data might be the future direction for cancer prognosis and prediction.
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