367 related articles for article (PubMed ID: 32000807)
1. Bioinformatics-based screening of key genes for transformation of liver cirrhosis to hepatocellular carcinoma.
Jiang CH; Yuan X; Li JF; Xie YF; Zhang AZ; Wang XL; Yang L; Liu CX; Liang WH; Pang LJ; Zou H; Cui XB; Shen XH; Qi Y; Jiang JF; Gu WY; Li F; Hu JM
J Transl Med; 2020 Jan; 18(1):40. PubMed ID: 32000807
[TBL] [Abstract][Full Text] [Related]
2. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Identification of key genes and pathways in hepatocellular carcinoma: A preliminary bioinformatics analysis.
Wu M; Liu Z; Zhang A; Li N
Medicine (Baltimore); 2019 Feb; 98(5):e14287. PubMed ID: 30702595
[TBL] [Abstract][Full Text] [Related]
5. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
Gene; 2019 May; 698():9-18. PubMed ID: 30825595
[TBL] [Abstract][Full Text] [Related]
6. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
[No Abstract] [Full Text] [Related]
7. Bioinformatics analysis of key genes and pathways for hepatocellular carcinoma transformed from cirrhosis.
He B; Yin J; Gong S; Gu J; Xiao J; Shi W; Ding W; He Y
Medicine (Baltimore); 2017 Jun; 96(25):e6938. PubMed ID: 28640074
[TBL] [Abstract][Full Text] [Related]
8. Integrated Bioinformatics Analysis for the Screening of Hub Genes and Therapeutic Drugs in Hepatocellular Carcinoma.
Su Q; Li W; Zhang X; Wu R; Zheng K; Zhou T; Dong Y; He Y; Wang D; Ran J
Curr Pharm Biotechnol; 2023; 24(8):1035-1058. PubMed ID: 35762549
[TBL] [Abstract][Full Text] [Related]
9. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
[TBL] [Abstract][Full Text] [Related]
10. [Screening core genes and cyclin B2 as a potential diagnosis, treatment and prognostic biomarker of hepatocellular carcinoma based on bioinformatics analysis].
Yang SY; Ren H; Li CF; Tang H
Zhonghua Gan Zang Bing Za Zhi; 2020 Sep; 28(9):773-783. PubMed ID: 33053978
[No Abstract] [Full Text] [Related]
11. Bioinformatics analysis of key biomarkers and potential molecular mechanisms in hepatocellular carcinoma induced by hepatitis B virus.
Li Z; Xu J; Cui H; Song J; Chen J; Wei J
Medicine (Baltimore); 2020 May; 99(20):e20302. PubMed ID: 32443377
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. 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]
16. 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]
17. [CDK1, CCNB1 and NDC80 are associated with prognosis and progression of hepatitis B virus-associated hepatocellular carcinoma: a bioinformatic analysis].
Li Y; Wu D; Wei C; Yang X; Zhou S
Nan Fang Yi Ke Da Xue Xue Bao; 2021 Oct; 41(10):1509-1518. PubMed ID: 34755666
[TBL] [Abstract][Full Text] [Related]
18. [Bioinformatics analysis of core differentially expressed genes in hepatitis B virus-related hepatocellular carcinoma].
Yu Y; Cheng J; Mei CZ; Dai YZ
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2022 Nov; 34(5):507-513. PubMed ID: 36464255
[TBL] [Abstract][Full Text] [Related]
19. Identification of potential hub genes associated with the pathogenesis and prognosis of hepatocellular carcinoma via integrated bioinformatics analysis.
Meng Z; Wu J; Liu X; Zhou W; Ni M; Liu S; Guo S; Jia S; Zhang J
J Int Med Res; 2020 Jul; 48(7):300060520910019. PubMed ID: 32722976
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
