752 related articles for article (PubMed ID: 29658607)
21. Identification of potential hub genes related to the progression and prognosis of hepatocellular carcinoma through integrated bioinformatics analysis.
Song X; Du R; Gui H; Zhou M; Zhong W; Mao C; Ma J
Oncol Rep; 2020 Jan; 43(1):133-146. PubMed ID: 31746405
[TBL] [Abstract][Full Text] [Related]
22. Bioinformatics analysis of different candidate genes involved in hepatocellular carcinoma induced by HepG2 cells or tumor cells of patients.
Zhang X; Yin S; Ma K
J Int Med Res; 2020 Jun; 48(6):300060520932112. PubMed ID: 32567431
[TBL] [Abstract][Full Text] [Related]
23. Aberrant expression of cell cycle and material metabolism related genes contributes to hepatocellular carcinoma occurrence.
Yan H; Li Z; Shen Q; Wang Q; Tian J; Jiang Q; Gao L
Pathol Res Pract; 2017 Apr; 213(4):316-321. PubMed ID: 28238542
[TBL] [Abstract][Full Text] [Related]
24. Transcriptome profile and its partly verification of human hepatocellular carcinoma cells exposed to Yuzhizi () seed extract.
Xiaoyan F; Mingzhe LI; Long C; Chao L; Wenli LU; Zhiqiang P; Dongwei J; Peike P; Zhaoqin F; Xiaomei L
J Tradit Chin Med; 2022 Dec; 42(6):922-931. PubMed ID: 36378050
[TBL] [Abstract][Full Text] [Related]
25. Identification of Multiple Hub Genes and Pathways in Hepatocellular Carcinoma: A Bioinformatics Analysis.
Liu J; Han F; Ding J; Liang X; Liu J; Huang D; Zhang C
Biomed Res Int; 2021; 2021():8849415. PubMed ID: 34337056
[TBL] [Abstract][Full Text] [Related]
26. Identification of Hepatocellular Carcinoma-Related Potential Genes and Pathways Through Bioinformatic-Based Analyses.
Wan Z; Zhang X; Luo Y; Zhao B
Genet Test Mol Biomarkers; 2019 Nov; 23(11):766-777. PubMed ID: 31633428
[No Abstract] [Full Text] [Related]
27. Bioinformatics identification of crucial genes and pathways associated with hepatocellular carcinoma.
Gao X; Wang X; Zhang S
Biosci Rep; 2018 Dec; 38(6):. PubMed ID: 30341252
[TBL] [Abstract][Full Text] [Related]
28. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
[TBL] [Abstract][Full Text] [Related]
29. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
30. Bioinformatics analysis of gene expression profiles in hepatocellular carcinoma.
Shangguan H; Tan SY; Zhang JR
Eur Rev Med Pharmacol Sci; 2015; 19(11):2054-61. PubMed ID: 26125269
[TBL] [Abstract][Full Text] [Related]
31. Examining the key genes and pathways in hepatocellular carcinoma development from hepatitis B virus‑positive cirrhosis.
Chen QF; Xia JG; Li W; Shen LJ; Huang T; Wu P
Mol Med Rep; 2018 Dec; 18(6):4940-4950. PubMed ID: 30272310
[TBL] [Abstract][Full Text] [Related]
32. Screening and identification of key biomarkers in hepatocellular carcinoma: Evidence from bioinformatic analysis.
Li L; Lei Q; Zhang S; Kong L; Qin B
Oncol Rep; 2017 Nov; 38(5):2607-2618. PubMed ID: 28901457
[TBL] [Abstract][Full Text] [Related]
33. CUL4B, NEDD4, and UGT1As involve in the TGF-β signalling in hepatocellular carcinoma.
Qu Z; Li D; Xu H; Zhang R; Li B; Sun C; Dong W; Zhang Y
Ann Hepatol; 2016; 15(4):568-76. PubMed ID: 27236156
[TBL] [Abstract][Full Text] [Related]
34. Analysis of potential key genes in very early hepatocellular carcinoma.
Wu M; Liu Z; Li X; Zhang A; Lin D; Li N
World J Surg Oncol; 2019 May; 17(1):77. PubMed ID: 31043166
[TBL] [Abstract][Full Text] [Related]
35. Identifying hub genes and dysregulated pathways in hepatocellular carcinoma.
Jin B; Wang W; Du G; Huang GZ; Han LT; Tang ZY; Fan DG; Li J; Zhang SZ
Eur Rev Med Pharmacol Sci; 2015 Feb; 19(4):592-601. PubMed ID: 25753876
[TBL] [Abstract][Full Text] [Related]
36. Identification of Potential Key Genes for Hepatitis B Virus-Associated Hepatocellular Carcinoma by Bioinformatics Analysis.
Chen Z; Chen J; Huang X; Wu Y; Huang K; Xu W; Xie L; Zhang X; Liu H
J Comput Biol; 2019 May; 26(5):485-494. PubMed ID: 30864827
[No Abstract] [Full Text] [Related]
37. Identification of Hub Genes and Analysis of Prognostic Values in Hepatocellular Carcinoma by Bioinformatics Analysis.
Xu L; Tong T; Wang Z; Qiang Y; Ma F; Ma X
Am J Med Sci; 2020 Apr; 359(4):226-234. PubMed ID: 32200915
[TBL] [Abstract][Full Text] [Related]
38. Identification of Potential Hub Genes Related to Diagnosis and Prognosis of Hepatitis B Virus-Related Hepatocellular Carcinoma via Integrated Bioinformatics Analysis.
Tang Y; Zhang Y; Hu X
Biomed Res Int; 2020; 2020():4251761. PubMed ID: 33376723
[TBL] [Abstract][Full Text] [Related]
39. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
[TBL] [Abstract][Full Text] [Related]
40. CDK1, CCNB1, CDC20, BUB1, MAD2L1, MCM3, BUB1B, MCM2, and RFC4 May Be Potential Therapeutic Targets for Hepatocellular Carcinoma Using Integrated Bioinformatic Analysis.
Yang WX; Pan YY; You CG
Biomed Res Int; 2019; 2019():1245072. PubMed ID: 31737652
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]