488 related articles for article (PubMed ID: 32198063)
21. Seven-senescence-associated gene signature predicts overall survival for Asian patients with hepatocellular carcinoma.
Xiang XH; Yang L; Zhang X; Ma XH; Miao RC; Gu JX; Fu YN; Yao Q; Zhang JY; Liu C; Lin T; Qu K
World J Gastroenterol; 2019 Apr; 25(14):1715-1728. PubMed ID: 31011256
[TBL] [Abstract][Full Text] [Related]
22. Bioinformatics Analysis of Prognostic Tumor Microenvironment-Related Genes in the Tumor Microenvironment of Hepatocellular Carcinoma.
Tian Z; Wang Z; Chen Y; Qu S; Liu C; Chen F; Ma L; Zhu J
Med Sci Monit; 2020 Mar; 26():e922159. PubMed ID: 32231177
[TBL] [Abstract][Full Text] [Related]
23. Development of a macrophages-related 4-gene signature and nomogram for the overall survival prediction of hepatocellular carcinoma based on WGCNA and LASSO algorithm.
Yang Z; Zi Q; Xu K; Wang C; Chi Q
Int Immunopharmacol; 2021 Jan; 90():107238. PubMed ID: 33316739
[TBL] [Abstract][Full Text] [Related]
24. Weighted correlation gene network analysis reveals a new stemness index-related survival model for prognostic prediction in hepatocellular carcinoma.
Zhang Q; Wang J; Liu M; Zhu Q; Li Q; Xie C; Han C; Wang Y; Gao M; Liu J
Aging (Albany NY); 2020 Jul; 12(13):13502-13517. PubMed ID: 32644941
[TBL] [Abstract][Full Text] [Related]
25. Identification of Potential Biomarkers From Hepatocellular Carcinoma With MT1 Deletion.
Zhang R; Huang M; Wang H; Wu S; Yao J; Ge Y; Lu Y; Hu Q
Pathol Oncol Res; 2021; 27():597527. PubMed ID: 34257549
[No Abstract] [Full Text] [Related]
26. Identification and validation of a potent multi-mRNA signature for the prediction of early relapse in hepatocellular carcinoma.
Cai J; Tong Y; Huang L; Xia L; Guo H; Wu H; Kong X; Xia Q
Carcinogenesis; 2019 Jul; 40(7):840-852. PubMed ID: 31059567
[TBL] [Abstract][Full Text] [Related]
27. The significance of m6A RNA methylation regulators in predicting the prognosis and clinical course of HBV-related hepatocellular carcinoma.
Fang Q; Chen H
Mol Med; 2020 Jun; 26(1):60. PubMed ID: 32552682
[TBL] [Abstract][Full Text] [Related]
28. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis.
Shen S; Kong J; Qiu Y; Yang X; Wang W; Yan L
J Cell Biochem; 2019 Jun; 120(6):10069-10081. PubMed ID: 30525236
[TBL] [Abstract][Full Text] [Related]
29. Exploration and validation of a novel prognostic signature based on comprehensive bioinformatics analysis in hepatocellular carcinoma.
Wang X; Qiao J; Wang R
Biosci Rep; 2020 Nov; 40(11):. PubMed ID: 33111935
[TBL] [Abstract][Full Text] [Related]
30. Development and validation of a novel pseudogene pair-based prognostic signature for prediction of overall survival in patients with hepatocellular carcinoma.
Du Y; Gao Y
BMC Cancer; 2020 Sep; 20(1):887. PubMed ID: 32938429
[TBL] [Abstract][Full Text] [Related]
31. Development and validation of an RNA binding protein-associated prognostic model for hepatocellular carcinoma.
Wang M; Huang S; Chen Z; Han Z; Li K; Chen C; Wu G; Zhao Y
BMC Cancer; 2020 Nov; 20(1):1136. PubMed ID: 33228611
[TBL] [Abstract][Full Text] [Related]
32. Identification and validation of ADME genes as prognosis and therapy markers for hepatocellular carcinoma patients.
Wang J; Han K; Zhang C; Chen X; Li Y; Zhu L; Luo T
Biosci Rep; 2021 May; 41(5):. PubMed ID: 33988674
[TBL] [Abstract][Full Text] [Related]
33. A novel seven-lncRNA signature for prognosis prediction in hepatocellular carcinoma.
Yan J; Zhou C; Guo K; Li Q; Wang Z
J Cell Biochem; 2019 Jan; 120(1):213-223. PubMed ID: 30206981
[TBL] [Abstract][Full Text] [Related]
34. Screening and identification of angiogenesis-related genes as potential novel prognostic biomarkers of hepatocellular carcinoma through bioinformatics analysis.
Zhen Z; Shen Z; Hu Y; Sun P
Aging (Albany NY); 2021 Jul; 13(13):17707-17733. PubMed ID: 34252885
[TBL] [Abstract][Full Text] [Related]
35. Identification of a six-gene signature predicting overall survival for hepatocellular carcinoma.
Liu GM; Zeng HD; Zhang CY; Xu JW
Cancer Cell Int; 2019; 19():138. PubMed ID: 31139015
[TBL] [Abstract][Full Text] [Related]
36. Prediction of Poor Prognosis of HCC by Early Warning Model for Co-Expression of miRNA and mRNA Based on Bioinformatics Analysis.
Su ZJ; Lin CC; Pan JH; Zhang JH; Han T; Pan Q
Technol Cancer Res Treat; 2020; 19():1533033820959353. PubMed ID: 33089765
[TBL] [Abstract][Full Text] [Related]
37. Bioinformatic Analysis to Identify a Multi-mRNA Signature for the Prediction of Metastasis in Hepatocellular Carcinoma.
Liu L; Wang B; Han Q; Zhen C; Li J; Qu X; Wang F; Kong X; Zheng L
DNA Cell Biol; 2020 Nov; 39(11):2028-2039. PubMed ID: 33147069
[TBL] [Abstract][Full Text] [Related]
38. Transcriptomic Analysis and Novel Gene Pair-Based Signatures for Hepatitis B-Related Hepatocellular Carcinoma.
Mo S; Song B; Wang Y
Crit Rev Eukaryot Gene Expr; 2021; 31(6):37-53. PubMed ID: 34936291
[TBL] [Abstract][Full Text] [Related]
39. Cytochrome P450 family members are associated with fast-growing hepatocellular carcinoma and patient survival: An integrated analysis of gene expression profiles.
Liu ZZ; Yan LN; Dong CN; Ma N; Yuan MN; Zhou J; Gao P
Saudi J Gastroenterol; 2019; 25(3):167-175. PubMed ID: 30971588
[TBL] [Abstract][Full Text] [Related]
40. Promising key genes associated with tumor microenvironments and prognosis of hepatocellular carcinoma.
Pan L; Fang J; Chen MY; Zhai ST; Zhang B; Jiang ZY; Juengpanich S; Wang YF; Cai XJ
World J Gastroenterol; 2020 Feb; 26(8):789-803. PubMed ID: 32148377
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
