295 related articles for article (PubMed ID: 32623384)
1. Identification of genes in hepatocellular carcinoma induced by non-alcoholic fatty liver disease.
Cai C; Song X; Yu C
Cancer Biomark; 2020; 29(1):69-78. PubMed ID: 32623384
[TBL] [Abstract][Full Text] [Related]
2. Bioinformatics analysis reveals novel core genes associated with nonalcoholic fatty liver disease and nonalcoholic steatohepatitis.
Feng G; Li XP; Niu CY; Liu ML; Yan QQ; Fan LP; Li Y; Zhang KL; Gao J; Qian MR; He N; Mi M
Gene; 2020 Jun; 742():144549. PubMed ID: 32184169
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
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. 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]
7. Identification of 5 Hub Genes Related to the Early Diagnosis, Tumour Stage, and Poor Outcomes of Hepatitis B Virus-Related Hepatocellular Carcinoma by Bioinformatics Analysis.
Qiang R; Zhao Z; Tang L; Wang Q; Wang Y; Huang Q
Comput Math Methods Med; 2021; 2021():9991255. PubMed ID: 34603487
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. 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]
11. CDK1-PLK1/SGOL2/ANLN pathway mediating abnormal cell division in cell cycle may be a critical process in hepatocellular carcinoma.
Li L; Huang K; Zhao H; Chen B; Ye Q; Yue J
Cell Cycle; 2020 May; 19(10):1236-1252. PubMed ID: 32275843
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Integrated Transcriptomic Analysis Revealed Hub Genes and Pathways Involved in Sorafenib Resistance in Hepatocellular Carcinoma.
Jiang X; Zhang W; Li L; Xie S
Pathol Oncol Res; 2021; 27():1609985. PubMed ID: 34737677
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Identification of MAD2L1 as a Potential Biomarker in Hepatocellular Carcinoma via Comprehensive Bioinformatics Analysis.
Chen Q; Yang S; Zhang Y; Li B; Xu H; Zuo S
Biomed Res Int; 2022; 2022():9868022. PubMed ID: 35132379
[TBL] [Abstract][Full Text] [Related]
16. Insights into the etiology-associated gene regulatory networks in hepatocellular carcinoma from The Cancer Genome Atlas.
Seshachalam VP; Sekar K; Hui KM
J Gastroenterol Hepatol; 2018 Dec; 33(12):2037-2047. PubMed ID: 29672926
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. Microarray Data Mining and Preliminary Bioinformatics Analysis of Hepatitis D Virus-Associated Hepatocellular Carcinoma.
Yu Z; Ma X; Zhang W; Chang X; An L; Niu M; Chen Y; Sun C; Yang Y
Biomed Res Int; 2021; 2021():1093702. PubMed ID: 33564675
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
