187 related articles for article (PubMed ID: 34468893)
1. Transcription factors linked to the molecular signatures in the development of hepatocellular carcinoma on a cirrhotic background.
Motalebzadeh J; Eskandari E
Med Oncol; 2021 Sep; 38(10):121. PubMed ID: 34468893
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. 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]
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. 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]
8. 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]
9. Integrative analysis identifies key mRNA biomarkers for diagnosis, prognosis, and therapeutic targets of HCV-associated hepatocellular carcinoma.
Zhang Y; Tang Y; Guo C; Li G
Aging (Albany NY); 2021 May; 13(9):12865-12895. PubMed ID: 33946043
[TBL] [Abstract][Full Text] [Related]
10. Identification of potential miRNA-mRNA regulatory network contributing to pathogenesis of HBV-related HCC.
Lou W; Liu J; Ding B; Chen D; Xu L; Ding J; Jiang D; Zhou L; Zheng S; Fan W
J Transl Med; 2019 Jan; 17(1):7. PubMed ID: 30602391
[TBL] [Abstract][Full Text] [Related]
11. Bioinformatic analysis reveals CYP2C9 as a potential prognostic marker for HCC and liver cancer cell lines suitable for its mechanism study.
Shuaichen L; Guangyi W
Cell Mol Biol (Noisy-le-grand); 2018 May; 64(7):70-74. PubMed ID: 29974848
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Prediction and analysis of weighted genes in hepatocellular carcinoma using bioinformatics analysis.
Zhang Q; Sun S; Zhu C; Zheng Y; Cai Q; Liang X; Xie H; Zhou J
Mol Med Rep; 2019 Apr; 19(4):2479-2488. PubMed ID: 30720105
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Construction of liver hepatocellular carcinoma-specific lncRNA-miRNA-mRNA network based on bioinformatics analysis.
Wang R; Hu X; Liu X; Bai L; Gu J; Li Q
PLoS One; 2021; 16(4):e0249881. PubMed ID: 33861762
[TBL] [Abstract][Full Text] [Related]
17. Key signaling pathways, genes and transcription factors associated with hepatocellular carcinoma.
Wang J; Tian Y; Chen H; Li H; Zheng S
Mol Med Rep; 2018 Jun; 17(6):8153-8160. PubMed ID: 29658607
[TBL] [Abstract][Full Text] [Related]
18. Comprehensive analyses of competing endogenous RNA networks reveal potential biomarkers for predicting hepatocellular carcinoma recurrence.
Yan P; Huang Z; Mou T; Luo Y; Liu Y; Zhou B; Cao Z; Wu Z
BMC Cancer; 2021 Apr; 21(1):436. PubMed ID: 33879119
[TBL] [Abstract][Full Text] [Related]
19. Identification and validation of EPHX2 as a prognostic biomarker in hepatocellular carcinoma.
Zhan K; Bai Y; Liao S; Chen H; Kuang L; Luo Q; Lv L; Qiu L; Mei Z
Mol Med Rep; 2021 Sep; 24(3):. PubMed ID: 34278494
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
