147 related articles for article (PubMed ID: 32214060)
1. RNA-Sequencing, Connectivity Mapping, and Molecular Docking to Investigate Ligand-Protein Binding for Potential Drug Candidates for the Treatment of Wilms Tumor.
Luo JY; Yan SB; Chen G; Chen P; Liang SW; Xu QQ; Gu JH; Huang ZG; Qin LT; Lu HP; Mo WJ; Luo YG; Chen JB
Med Sci Monit; 2020 Mar; 26():e920725. PubMed ID: 32214060
[TBL] [Abstract][Full Text] [Related]
2. [Identification of key genes in Wilms tumor based on high-throughput RNA sequencing and their impacts on prognosis and immune responses].
Gao Z; Lin J; Hong P; Hu Z; Dong J; Shi Q; Tian X; Liu F; Wei G
Nan Fang Yi Ke Da Xue Xue Bao; 2024 Apr; 44(4):727-738. PubMed ID: 38708507
[TBL] [Abstract][Full Text] [Related]
3. Novel drug candidates for treating esophageal carcinoma: A study on differentially expressed genes, using connectivity mapping and molecular docking.
Chen YT; Xie JY; Sun Q; Mo WJ
Int J Oncol; 2019 Jan; 54(1):152-166. PubMed ID: 30387840
[TBL] [Abstract][Full Text] [Related]
4. A novel model incorporating chromatin regulatory factors for risk stratification, prognosis prediction, and characterization of the microenvironment in Wilms tumor.
Zhao X; Chu X; Song L; Tang W
J Gene Med; 2024 Jan; 26(1):e3574. PubMed ID: 37578081
[TBL] [Abstract][Full Text] [Related]
5. Weighted gene co‑expression network analysis for identifying hub genes in association with prognosis in Wilms tumor.
Wang X; Song P; Huang C; Yuan N; Zhao X; Xu C
Mol Med Rep; 2019 Mar; 19(3):2041-2050. PubMed ID: 30664180
[TBL] [Abstract][Full Text] [Related]
6. The underlying molecular mechanism and potential drugs for treatment in papillary renal cell carcinoma: A study based on TCGA and Cmap datasets.
Pang JS; Li ZK; Lin P; Wang XD; Chen G; Yan HB; Li SH
Oncol Rep; 2019 Apr; 41(4):2089-2102. PubMed ID: 30816528
[TBL] [Abstract][Full Text] [Related]
7. Potential Five-MicroRNA Signature Model for the Prediction of Prognosis in Patients with Wilms Tumor.
Gong Y; Zou B; Chen J; Ding L; Li P; Chen J; Chen J; Zhang B; Li J
Med Sci Monit; 2019 Jul; 25():5435-5444. PubMed ID: 31328722
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Identification of prostate cancer hub genes and therapeutic agents using bioinformatics approach.
Fang E; Zhang X; Wang Q; Wang D
Cancer Biomark; 2017 Dec; 20(4):553-561. PubMed ID: 28800317
[TBL] [Abstract][Full Text] [Related]
10. MiR-155-5p exerts tumor-suppressing functions in Wilms tumor by targeting IGF2 via the PI3K signaling pathway.
Luo X; Dong J; He X; Shen L; Long C; Liu F; Liu X; Lin T; He D; Wei G
Biomed Pharmacother; 2020 May; 125():109880. PubMed ID: 32004974
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Identification of target gene and prognostic evaluation for lung adenocarcinoma using gene expression meta-analysis, network analysis and neural network algorithms.
Selvaraj G; Kaliamurthi S; Kaushik AC; Khan A; Wei YK; Cho WC; Gu K; Wei DQ
J Biomed Inform; 2018 Oct; 86():120-134. PubMed ID: 30195659
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Analysis of genes associated with prognosis of lung adenocarcinoma based on GEO and TCGA databases.
Yu Y; Tian X
Medicine (Baltimore); 2020 May; 99(19):e20183. PubMed ID: 32384511
[TBL] [Abstract][Full Text] [Related]
15. Identification of Prognostic Biomarker Signatures and Candidate Drugs in Colorectal Cancer: Insights from Systems Biology Analysis.
Rahman MR; Islam T; Gov E; Turanli B; Gulfidan G; Shahjaman M; Banu NA; Mollah MNH; Arga KY; Moni MA
Medicina (Kaunas); 2019 Jan; 55(1):. PubMed ID: 30658502
[TBL] [Abstract][Full Text] [Related]
16. Identification of CXCL13 as a potential biomarker in clear cell renal cell carcinoma via comprehensive bioinformatics analysis.
Xu T; Ruan H; Song Z; Cao Q; Wang K; Bao L; Liu D; Tong J; Yang H; Chen K; Zhang X
Biomed Pharmacother; 2019 Oct; 118():109264. PubMed ID: 31390578
[TBL] [Abstract][Full Text] [Related]
17. Identification of Differentially Expressed Genes (DEGs) Relevant to Prognosis of Ovarian Cancer by Use of Integrated Bioinformatics Analysis and Validation by Immunohistochemistry Assay.
Zhang L; Sun L; Zhang B; Chen L
Med Sci Monit; 2019 Dec; 25():9902-9912. PubMed ID: 31871312
[TBL] [Abstract][Full Text] [Related]
18. Competitive endogenous RNA (ceRNA) regulation network of lncRNAs, miRNAs, and mRNAs in Wilms tumour.
Tang F; Lu Z; Wang J; Li Z; Wu W; Duan H; He Z
BMC Med Genomics; 2019 Dec; 12(1):194. PubMed ID: 31842887
[TBL] [Abstract][Full Text] [Related]
19. Identification of potential drugs for diffuse large b-cell lymphoma based on bioinformatics and Connectivity Map database.
Luo B; Gu YY; Wang XD; Chen G; Peng ZG
Pathol Res Pract; 2018 Nov; 214(11):1854-1867. PubMed ID: 30244948
[TBL] [Abstract][Full Text] [Related]
20. Survival analysis of genome-wide profiles coupled with Connectivity Map database mining to identify potential therapeutic targets for cholangiocarcinoma.
Lin P; Zhong XZ; Wang XD; Li JJ; Zhao RQ; He Y; Jiang YQ; Huang XW; Chen G; He Y; Yang H
Oncol Rep; 2018 Dec; 40(6):3189-3198. PubMed ID: 30272356
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
