Journal
INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES
Volume 16, Issue 5, Pages 869-881Publisher
IVYSPRING INT PUBL
DOI: 10.7150/ijbs.38846
Keywords
cholangiocarcinoma; Gene Expression Omnibus database; least absolute shrinkage and selection operator model; mRNA signature; recurrence-free survival
Categories
Funding
- National Key Sci-Tech Special Project of China [2018ZX10723204006-004]
- National Natural Science Foundation of China [81873582, 81670562, 81670598, 31870905, 31671453]
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Cholangiocarcinoma (CCA) is an epithelial cancer and has high death and recurrence rates, current methods cannot satisfy the need for predicting cancer relapse effectively. So, we aimed at conducting a multi-mRNA signature to improve the relapse prediction of CCA. We analyzed mRNA expression profiling in large CCA cohorts from the Gene Expression Omnibus (GEO) database (GSE76297, GSE32879, GSE26566, GSE31370, and GSE45001) and The Cancer Genome Atlas (TCGA) database. The Least absolute shrinkage and selection operator (LASSO) regression model was used to establish a 7-mRNA-based signature that was significantly related to the recurrence-free survival (RFS) in two test series. Based on the 7-mRNA signature, the cohort TCGA patients could be divided into high-risk or low-risk subgroups with significantly different RFS [p < 0.001, hazard ratio (HR): 48.886, 95% confidence interval (CI): 6.226-3.837E+02]. Simultaneously, the prognostic value of the 7-mRNA signature was confirmed in clinical samples of Ren Ji hospital (p < 0.001, HR: 4.558, 95% CI: 1.829-1 1.357). Further analysis including multivariable and sub-group analyses revealed that the 7-mRNA signature was an independent prognostic value for recurrence of patients with CCA. In conclusion, our results might provide an efficient tool for relapse prediction and were beneficial to individualized management for CCA patients.
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