109 related articles for article (PubMed ID: 34797290)
1. DDX10 and BYSL as the potential targets of chondrosarcoma and glioma.
Quan X; Zhao C; Gao Z; Zhang Y; Zhao R; Wang J; Zhang Q
Medicine (Baltimore); 2021 Nov; 100(46):e27669. PubMed ID: 34797290
[TBL] [Abstract][Full Text] [Related]
2. BYSL contributes to tumor growth by cooperating with the mTORC2 complex in gliomas.
Gao S; Sha Z; Zhou J; Wu Y; Song Y; Li C; Liu X; Zhang T; Yu R
Cancer Biol Med; 2021 Feb; 18(1):88-104. PubMed ID: 33628587
[TBL] [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. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
[TBL] [Abstract][Full Text] [Related]
5. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
6. DDX10 overexpression predicts worse prognosis in osteosarcoma and its deletion prohibits cell activities modulated by MAPK pathway.
Shi JH; Hao YJ
Biochem Biophys Res Commun; 2019 Mar; 510(4):525-529. PubMed ID: 30738579
[TBL] [Abstract][Full Text] [Related]
7. Identification of Hub Gene GRIN1 Correlated with Histological Grade and Prognosis of Glioma by Weighted Gene Coexpression Network Analysis.
Yang A; Wang X; Hu Y; Shang C; Hong Y
Biomed Res Int; 2021; 2021():4542995. PubMed ID: 34840971
[TBL] [Abstract][Full Text] [Related]
8. Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gastric cancer.
Wu Q; Zhang B; Wang Z; Hu X; Sun Y; Xu R; Chen X; Wang Q; Ju F; Ren S; Zhang C; Qi F; Ma Q; Xue Q; Zhou YL
Pathol Res Pract; 2019 May; 215(5):1038-1048. PubMed ID: 30975489
[TBL] [Abstract][Full Text] [Related]
9. Identification of Potential Genetic Biomarkers and Target Genes of Peri-Implantitis Using Bioinformatics Tools.
Zhang X; Wang Z; Hu L; Shen X; Liu C
Biomed Res Int; 2021; 2021():1759214. PubMed ID: 34931168
[TBL] [Abstract][Full Text] [Related]
10. DDX10 promotes the proliferation and metastasis of colorectal cancer cells via splicing RPL35.
Zhou X; Liu Z; He T; Zhang C; Jiang M; Jin Y; Wu Z; Gu C; Zhang W; Yang X
Cancer Cell Int; 2022 Feb; 22(1):58. PubMed ID: 35109823
[TBL] [Abstract][Full Text] [Related]
11. Identification of novel genes associated with a poor prognosis in pancreatic ductal adenocarcinoma via a bioinformatics analysis.
Zhou J; Hui X; Mao Y; Fan L
Biosci Rep; 2019 Aug; 39(8):. PubMed ID: 31311829
[TBL] [Abstract][Full Text] [Related]
12. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.
Li T; Gao X; Han L; Yu J; Li H
World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304
[TBL] [Abstract][Full Text] [Related]
13. Microarray data analysis to identify crucial genes regulated by CEBPB in human SNB19 glioma cells.
Du C; Pan P; Jiang Y; Zhang Q; Bao J; Liu C
World J Surg Oncol; 2016 Oct; 14(1):258. PubMed ID: 27716259
[TBL] [Abstract][Full Text] [Related]
14. Effects of the NUP98-DDX10 oncogene on primary human CD34+ cells: role of a conserved helicase motif.
Yassin ER; Abdul-Nabi AM; Takeda A; Yaseen NR
Leukemia; 2010 May; 24(5):1001-11. PubMed ID: 20339440
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. [Bioinformatics Analysis of Core Genes and Key Pathways in Myelodysplastic Syndrome].
Wang Y; Wang YS; Hu NB; Teng GS; Zhou Y; Bai J
Zhongguo Shi Yan Xue Ye Xue Za Zhi; 2022 Jun; 30(3):804-812. PubMed ID: 35680809
[TBL] [Abstract][Full Text] [Related]
17. Prognostic Markers Identification in Glioma by Gene Expression Profile Analysis.
Hu G; Wang R; Wei B; Wang L; Yang Q; Kong D; Du C
J Comput Biol; 2020 Jan; 27(1):81-90. PubMed ID: 31433208
[TBL] [Abstract][Full Text] [Related]
18. Identification of hub genes and pathways in adrenocortical carcinoma by integrated bioinformatic analysis.
Guo J; Gu Y; Ma X; Zhang L; Li H; Yan Z; Han Y; Xie L; Guo X
J Cell Mol Med; 2020 Apr; 24(8):4428-4438. PubMed ID: 32147961
[TBL] [Abstract][Full Text] [Related]
19. Identification of Hub Genes in Duchenne Muscular Dystrophy: Evidence from Bioinformatic Analysis.
Zhang R; Lv L; Ban W; Dang X; Zhang C
J Comput Biol; 2020 Jan; 27(1):1-8. PubMed ID: 31390219
[TBL] [Abstract][Full Text] [Related]
20. Integrated microarray analysis to identify potential biomarkers and therapeutic targets in dilated cardiomyopathy.
Zhang H; Huo J; Jiang W; Shan Q
Mol Med Rep; 2020 Aug; 22(2):915-925. PubMed ID: 32626989
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]