181 related articles for article (PubMed ID: 36238156)
1. Identification of core genes as potential biomarkers for predicting progression and prognosis in glioblastoma.
Zeng J; Hua S; Liu J; Mungur R; He Y; Feng J
Front Genet; 2022; 13():928407. PubMed ID: 36238156
[No Abstract] [Full Text] [Related]
2. ZWINT: A potential therapeutic biomarker in patients with glioblastoma correlates with cell proliferation and invasion.
Yang L; Han N; Zhang X; Zhou Y; Chen R; Zhang M
Oncol Rep; 2020 Jun; 43(6):1831-1844. PubMed ID: 32323832
[TBL] [Abstract][Full Text] [Related]
3. Identification of novel prognostic targets in glioblastoma using bioinformatics analysis.
Yin X; Wu Q; Hao Z; Chen L
Biomed Eng Online; 2022 Apr; 21(1):26. PubMed ID: 35436915
[TBL] [Abstract][Full Text] [Related]
4. Bioinformatical Analysis of Gene Expression Omnibus Database Associates TAF7/CCNB1, TAF7/CCNA2, and GTF2E2/CDC20 Pathways with Glioblastoma Development and Prognosis.
Yang L; Zeng W; Sun H; Huang F; Yang C; Cai X; Lu Y; Zeng J; Yang K
World Neurosurg; 2020 Jun; 138():e492-e514. PubMed ID: 32147549
[TBL] [Abstract][Full Text] [Related]
5. Bioinformatics analysis of potential core genes for glioblastoma.
Zhang Y; Yang X; Zhu XL; Hao JQ; Bai H; Xiao YC; Wang ZZ; Hao CY; Duan HB
Biosci Rep; 2020 Jul; 40(7):. PubMed ID: 32667033
[TBL] [Abstract][Full Text] [Related]
6. Prediction and analysis of hub genes between glioblastoma and low-grade glioma using bioinformatics analysis.
Xu B
Medicine (Baltimore); 2021 Jan; 100(3):e23513. PubMed ID: 33545929
[TBL] [Abstract][Full Text] [Related]
7. Non-negative matrix factorization and differential expression analyses identify hub genes linked to progression and prognosis of glioblastoma multiforme.
Akçay S; Güven E; Afzal M; Kazmi I
Gene; 2022 May; 824():146395. PubMed ID: 35283227
[TBL] [Abstract][Full Text] [Related]
8. Construction of Potential Glioblastoma Multiforme-Related miRNA-mRNA Regulatory Network.
Lou W; Ding B; Xu L; Fan W
Front Mol Neurosci; 2019; 12():66. PubMed ID: 30971889
[No Abstract] [Full Text] [Related]
9. Identification of Five Genes as a Potential Biomarker for Predicting Progress and Prognosis in Adrenocortical Carcinoma.
Xiao H; Xu D; Chen P; Zeng G; Wang X; Zhang X
J Cancer; 2018; 9(23):4484-4495. PubMed ID: 30519354
[TBL] [Abstract][Full Text] [Related]
10. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
[TBL] [Abstract][Full Text] [Related]
11. Identification of hub genes associated with bladder cancer using bioinformatic analyses.
Zheng W; Zhao Y; Wang T; Zhao X; Tan Z
Transl Cancer Res; 2022 May; 11(5):1330-1343. PubMed ID: 35706790
[TBL] [Abstract][Full Text] [Related]
12. Identification of Driver Genes and Key Pathways of Glioblastoma Shows JNJ-7706621 as a Novel Antiglioblastoma Drug.
Zhong S; Wu B; Dong X; Han Y; Jiang S; Zhang Y; Bai Y; Luo SX; Chen Y; Zhang H; Zhao G
World Neurosurg; 2018 Jan; 109():e329-e342. PubMed ID: 28989042
[TBL] [Abstract][Full Text] [Related]
13. Identification of potential crucial genes and molecular mechanisms in glioblastoma multiforme by bioinformatics analysis.
Chen X; Pan Y; Yan M; Bao G; Sun X
Mol Med Rep; 2020 Aug; 22(2):859-869. PubMed ID: 32467990
[TBL] [Abstract][Full Text] [Related]
14. [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]
15. Gene regulation network analysis reveals core genes associated with survival in glioblastoma multiforme.
Jiang L; Zhong M; Chen T; Zhu X; Yang H; Lv K
J Cell Mol Med; 2020 Sep; 24(17):10075-10087. PubMed ID: 32696617
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Identification of Potential Biomarkers in Glioblastoma through Bioinformatic Analysis and Evaluating Their Prognostic Value.
Zhou Y; Yang L; Zhang X; Chen R; Chen X; Tang W; Zhang M
Biomed Res Int; 2019; 2019():6581576. PubMed ID: 31119182
[TBL] [Abstract][Full Text] [Related]
18. Screening the Significant Hub Genes by Comparing Tumor Cells, Normoxic and Hypoxic Glioblastoma Stem-like Cell Lines Using Co-Expression Analysis in Glioblastoma.
Güven E; Afzal M; Kazmi I
Genes (Basel); 2022 Mar; 13(3):. PubMed ID: 35328072
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Identification of prognostic risk factors for pancreatic cancer using bioinformatics analysis.
Jin D; Jiao Y; Ji J; Jiang W; Ni W; Wu Y; Ni R; Lu C; Qu L; Ni H; Liu J; Xu W; Xiao M
PeerJ; 2020; 8():e9301. PubMed ID: 32587798
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
