ArticlePloS one2015
A Seven-microRNA Expression Signature Predicts Survival in Hepatocellular Carcinoma.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.
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Who cites it
40 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prognostic Value of microRNA-9 in Various Cancers: a Meta-analysis.Pathology oncology research : POR · 2017Pooled it
- Pooled it
- Assessment of circulating levels of microRNA-326, microRNA-424, and microRNA-511 as biomarkers for hepatocellular carcinoma in Egyptians.World journal of hepatology · 2022Article
- Application of miRNA Biomarkers in Predicting Overall Survival Outcomes for Lung Adenocarcinoma.BioMed research international · 2022Article
- Evaluating the Effect of Lenvatinib on Sorafenib-Resistant Hepatocellular Carcinoma Cells.International journal of molecular sciences · 2021Article
- miR-3677-5p promotes the proliferation, migration and invasion of hepatocellular carcinoma cells and is associated with prognosis.Experimental and therapeutic medicine · 2021Article
- Identification of the miRNA signature associated with survival in patients with ovarian cancer.Aging · 2021Article
- Prognosis Value of microRNA-3677-3p in Lung Adenocarcinoma and Its Regulatory Effect on Tumor Progression.Cancer management and research · 2021Article
- Regulation of hepatic microRNAs in response to early stage Echinococcus multilocularis egg infection in C57BL/6 mice.PLoS neglected tropical diseases · 2020Article
- Article
- Targeting of TLE3 by miR-3677 in human breast cancer promotes cell proliferation, migration and invasion.Oncology letters · 2020Article
- Article
- An Integrating Immune-Related Signature to Improve Prognosis of Hepatocellular Carcinoma.Computational and mathematical methods in medicine · 2020Article
- A novel miR-0308-3p revealed by miRNA-seq of HBV-positive hepatocellular carcinoma suppresses cell proliferation and promotes G1/S arrest by targeting double CDK6/Cyclin D1 genes.Cell & bioscience · 2020Article
- MicroRNAs in Animal Models of HCC.Cancers · 2019Review
- Development and validation of a new tumor-based gene signature predicting prognosis of HBV/HCV-included resected hepatocellular carcinoma patients.Journal of translational medicine · 2019Article
- Modulation of the IL-6-Signaling Pathway in Liver Cells by miRNAs Targeting gp130, JAK1, and/or STAT3.Molecular therapy. Nucleic acids · 2019Article
- miR-663a inhibits tumor growth and invasion by regulating TGF-β1 in hepatocellular carcinoma.BMC cancer · 2018Article
- MicroRNAs as biomarkers for the progression and prognosis of colon carcinoma.International journal of molecular medicine · 2018Article
- Identification of potential prognostic microRNA biomarkers for predicting survival in patients with hepatocellular carcinoma.Cancer management and research · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatocellular carcinoma (HCC) is the fifth common cancer. The differential expression of microRNAs (miRNAs) has been associated with the prognosis of various cancers. However, limited information is available regarding genome-wide miRNA expression profiles in HCC to generate a tumor-specific miRNA signature of prognostic values. In this study, the miRNA profiles in 327 HCC patients, including 327 tumor and 43 adjacent non-tumor tissues, from The Cancer Genome Atlas (TCGA) Liver hepatocellular carcinoma (LIHC) were analyzed. The associations of the differentially expressed miRNAs with patient survival and other clinical characteristics were examined with t-test and Cox proportional regression model. Finally, a tumor-specific miRNA signature was generated and examined with Kaplan-Meier survival, univariate\multivariate Cox regression analyses and KEGG pathway analysis. Results showed that a total of 207 miRNAs were found differentially expressed between tumor and adjacent non-tumor HCC tissues. 78 of them were also discriminatively expressed with gender, race, tumor grade and AJCC tumor stage. Seven miRNAs were significantly associated with survival (P value <0.001). Among the seven significant miRNAs, six (hsa-mir-326, hsa-mir-3677, hsa-mir-511-1, hsa-mir-511-2, hsa-mir-9-1, and hsa-mir-9-2) were negatively associated with overall survival (OS), while the remaining one (hsa-mir-30d) was positively correlated. A tumor-specific 7-miRNAs signature was generated and validated as an independent prognostic predictor. Collectively, we have identified and validated an independent prognostic model based on the expression of seven miRNAs, which can be used to assess patients' survival. Additional work is needed to translate our model into clinical practice.
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