277 related articles for article (PubMed ID: 28393247)
1. Bioinformatics analysis of gene expression alterations in microRNA‑122 knockout mice with hepatocellular carcinoma.
He B; He Y; Shi W; Gong S; Chen X; Xiao J; Gu J; Ding W; Wang Y
Mol Med Rep; 2017 Jun; 15(6):3681-3689. PubMed ID: 28393247
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.
Mou T; Zhu D; Wei X; Li T; Zheng D; Pu J; Guo Z; Wu Z
World J Surg Oncol; 2017 Mar; 15(1):63. PubMed ID: 28302149
[TBL] [Abstract][Full Text] [Related]
4. Molecular mechanisms of pathogenesis in hepatocellular carcinoma revealed by RNA‑sequencing.
Liu Y; Yang Z; Du F; Yang Q; Hou J; Yan X; Geng Y; Zhao Y; Wang H
Mol Med Rep; 2017 Nov; 16(5):6674-6682. PubMed ID: 28901494
[TBL] [Abstract][Full Text] [Related]
5. Microarray analysis reveals gene and microRNA signatures in diabetic kidney disease.
Cui C; Cui Y; Fu Y; Ma S; Zhang S
Mol Med Rep; 2018 Feb; 17(2):2161-2168. PubMed ID: 29207157
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. 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]
9. 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]
10. 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]
11. Identification and characterization of sexual dimorphism‑linked gene expression profile in hepatocellular carcinoma.
Wu Y; Yao N; Feng Y; Tian Z; Yang Y; Zhao Y
Oncol Rep; 2019 Sep; 42(3):937-952. PubMed ID: 31322260
[TBL] [Abstract][Full Text] [Related]
12. Potential role of microRNA‑223‑3p in the tumorigenesis of hepatocellular carcinoma: A comprehensive study based on data mining and bioinformatics.
Zhang R; Zhang LJ; Yang ML; Huang LS; Chen G; Feng ZB
Mol Med Rep; 2018 Feb; 17(2):2211-2228. PubMed ID: 29207133
[TBL] [Abstract][Full Text] [Related]
13. Identification of key genes and construction of microRNA-mRNA regulatory networks in multiple myeloma by integrated multiple GEO datasets using bioinformatics analysis.
Gao H; Wang H; Yang W
Int J Hematol; 2017 Jul; 106(1):99-107. PubMed ID: 28316065
[TBL] [Abstract][Full Text] [Related]
14. Molecule mechanisms of Ganoderma lucidum treated hepatocellular carcinoma based on the transcriptional profiles and miRNA-target network.
Tang C; Zhao R; Ni H; Zhao K; He Y; Fang S; Chen Q
Biomed Pharmacother; 2020 May; 125():110028. PubMed ID: 32106374
[TBL] [Abstract][Full Text] [Related]
15. Bioinformatics approach to predict target genes for dysregulated microRNAs in hepatocellular carcinoma: study on a chemically-induced HCC mouse model.
Del Vecchio F; Gallo F; Di Marco A; Mastroiaco V; Caianiello P; Zazzeroni F; Alesse E; Tessitore A
BMC Bioinformatics; 2015 Dec; 16():408. PubMed ID: 26652480
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Analysis of NFKB2‑mediated regulation of mechanisms underlying the development of Hodgkin's lymphoma.
Zhang Y; Tong L; Chen S; Wu W; Wang L
Mol Med Rep; 2018 Jun; 17(6):8129-8136. PubMed ID: 29693141
[TBL] [Abstract][Full Text] [Related]
19. Diagnostic significance and potential function of miR-338-5p in hepatocellular carcinoma: A bioinformatics study with microarray and RNA sequencing data.
Liang L; Gao L; Zou XP; Huang ML; Chen G; Li JJ; Cai XY
Mol Med Rep; 2018 Feb; 17(2):2297-2312. PubMed ID: 29207053
[TBL] [Abstract][Full Text] [Related]
20. Screening for genes, transcription factors and miRNAs associated with the myogenic and osteogenic differentiation of human adipose tissue-derived stem cells.
Quan L; Wang Y; Liang J; Qiu T; Wang H; Zhang Y; Zhang Y; Hui Q; Tao K
Int J Mol Med; 2016 Dec; 38(6):1839-1849. PubMed ID: 27779643
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
