203 related articles for article (PubMed ID: 31001331)
1. Transcriptome Analysis Revealed a Highly Connected Gene Module Associated With Cirrhosis to Hepatocellular Carcinoma Development.
Shan S; Chen W; Jia JD
Front Genet; 2019; 10():305. PubMed ID: 31001331
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Transcriptome analysis revealed CENPF associated with glioma prognosis.
Zhang M; Zhang Q; Bai J; Zhao Z; Zhang J
Math Biosci Eng; 2021 Mar; 18(3):2077-2096. PubMed ID: 33892537
[TBL] [Abstract][Full Text] [Related]
4. [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]
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. Screening of the Key Genes for the Progression of Liver Cirrhosis to Hepatocellular Carcinoma Based on Bioinformatics.
Chen Y; Qian H; He X; Zhang J; Xue S; Wu Y; Chen J; Wu X; Zhang S
J Oncol; 2022; 2022():2515513. PubMed ID: 36199789
[TBL] [Abstract][Full Text] [Related]
7. CCNB2, NUSAP1 and TK1 are associated with the prognosis and progression of hepatocellular carcinoma, as revealed by co-expression analysis.
Liu L; Chen A; Chen S; Song W; Yao Q; Wang P; Zhou S
Exp Ther Med; 2020 Apr; 19(4):2679-2689. PubMed ID: 32256749
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. CCNB2, CDC20, AURKA, TOP2A, MELK, NCAPG, KIF20A, UBE2C, PRC1, and ASPM May Be Potential Therapeutic Targets for Hepatocellular Carcinoma Using Integrated Bioinformatic Analysis.
Yang Z; Wu X; Li J; Zheng Q; Niu J; Li S
Int J Gen Med; 2021; 14():10185-10194. PubMed ID: 34992437
[TBL] [Abstract][Full Text] [Related]
11. Microarray analysis for the identification of specific proteins and functional modules involved in the process of hepatocellular carcinoma originating from cirrhotic liver.
Fan W; Ye G
Mol Med Rep; 2018 Apr; 17(4):5619-5626. PubMed ID: 29436633
[TBL] [Abstract][Full Text] [Related]
12. The role of differentially expressed genes and immune cell infiltration in the progression of nonalcoholic steatohepatitis (NASH) to hepatocellular carcinoma (HCC): a new exploration based on bioinformatics analysis.
Liu Y; Yu X; Wang Y; Wu J; Feng B; Li M
Nucleosides Nucleotides Nucleic Acids; 2024 Feb; ():1-16. PubMed ID: 38319987
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Proteo-genomic characterization of cirrhosis-associated liver cancers reveals potential subtypes and therapeutic targets.
Gao YF; Liu YQ; Zhang H; Zhang MY
Clin Transl Oncol; 2024 May; ():. PubMed ID: 38806996
[TBL] [Abstract][Full Text] [Related]
15. Identification of molecular target genes and key pathways in hepatocellular carcinoma by bioinformatics analysis.
Zhou L; Du Y; Kong L; Zhang X; Chen Q
Onco Targets Ther; 2018; 11():1861-1869. PubMed ID: 29670361
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Multiple microarray analyses identify key genes associated with the development of Non-Small Cell Lung Cancer from Chronic Obstructive Pulmonary Disease.
Zhang L; Chen J; Yang H; Pan C; Li H; Luo Y; Cheng T
J Cancer; 2021; 12(4):996-1010. PubMed ID: 33442399
[No Abstract] [Full Text] [Related]
18. Critical genes of hepatocellular carcinoma revealed by network and module analysis of RNA-seq data.
Yang MR; Zhang Y; Wu XX; Chen W
Eur Rev Med Pharmacol Sci; 2016 Oct; 20(20):4248-4256. PubMed ID: 27831650
[TBL] [Abstract][Full Text] [Related]
19.
Sun Y; Zhang Z
Genet Test Mol Biomarkers; 2020 May; 24(5):296-308. PubMed ID: 32384023
[No Abstract] [Full Text] [Related]
20. 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]
[Next] [New Search]