These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
508 related articles for article (PubMed ID: 32194783)
1. The Identification of Key Gene Expression Signature and Biological Pathways in Metastatic Renal Cell Carcinoma. Bao L; Zhao Y; Liu C; Cao Q; Huang Y; Chen K; Song Z J Cancer; 2020; 11(7):1712-1726. PubMed ID: 32194783 [No Abstract] [Full Text] [Related]
2. The Identification of Potential Biomarkers and Biological Pathways in Prostate Cancer. Song Z; Huang Y; Zhao Y; Ruan H; Yang H; Cao Q; Liu D; Zhang X; Chen K J Cancer; 2019; 10(6):1398-1408. PubMed ID: 31031850 [No Abstract] [Full Text] [Related]
3. 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]
4. The screening of pivotal gene expression signatures and biomarkers in renal carcinoma. Ruan H; Li S; Tong J; Cao Q; Song Z; Wang K; Huang Y; Bao L; Chen X; Yang H; Chen K; Zhang X J Cancer; 2019; 10(25):6384-6394. PubMed ID: 31772671 [TBL] [Abstract][Full Text] [Related]
5. Prediction and analysis of novel key genes ITGAX, LAPTM5, SERPINE1 in clear cell renal cell carcinoma through bioinformatics analysis. Sui Y; Lu K; Fu L PeerJ; 2021; 9():e11272. PubMed ID: 33976979 [TBL] [Abstract][Full Text] [Related]
6. Bioinformatics analysis of C3 and CXCR4 demonstrates their potential as prognostic biomarkers in clear cell renal cell carcinoma (ccRCC). Quan J; Bai Y; Yang Y; Han EL; Bai H; Zhang Q; Zhang D BMC Cancer; 2021 Jul; 21(1):814. PubMed ID: 34266404 [TBL] [Abstract][Full Text] [Related]
7. Identification of CXCL10 as a Prognostic Biomarker for Clear Cell Renal Cell Carcinoma. Qu G; Wang H; Yan H; Liu G; Wu M Front Oncol; 2022; 12():857619. PubMed ID: 35296026 [TBL] [Abstract][Full Text] [Related]
8. Identification of Core Genes Involved in the Metastasis of Clear Cell Renal Cell Carcinoma. Peng R; Wang Y; Mao L; Fang F; Guan H Cancer Manag Res; 2020; 12():13437-13449. PubMed ID: 33408516 [TBL] [Abstract][Full Text] [Related]
9. Identification of Metastasis-Associated Biomarkers in Synovial Sarcoma Using Bioinformatics Analysis. Song Y; Liu X; Wang F; Wang X; Cheng G; Peng C Front Genet; 2020; 11():530892. PubMed ID: 33061942 [TBL] [Abstract][Full Text] [Related]
10. Identification of hub genes associated with outcome of clear cell renal cell carcinoma. Li R; Wang L; Wang X; Geng RX; Li N; Liu XH Oncol Lett; 2020 Apr; 19(4):2846-2860. PubMed ID: 32218839 [TBL] [Abstract][Full Text] [Related]
11. Identification of EGFR as a Novel Key Gene in Clear Cell Renal Cell Carcinoma (ccRCC) through Bioinformatics Analysis and Meta-Analysis. Wang S; Yu ZH; Chai KQ Biomed Res Int; 2019; 2019():6480865. PubMed ID: 30895194 [TBL] [Abstract][Full Text] [Related]
12. Co-expression network analysis identified six hub genes in association with progression and prognosis in human clear cell renal cell carcinoma (ccRCC). Yuan L; Chen L; Qian K; Qian G; Wu CL; Wang X; Xiao Y Genom Data; 2017 Dec; 14():132-140. PubMed ID: 29159069 [TBL] [Abstract][Full Text] [Related]
13. Integration of bioinformatics analysis to identify possible hub genes and important pathways associated with clear cell renal cell carcinoma. Kumar A; Yadav RP; Chatterjee S; Das M; Pal DK Urologia; 2024 May; 91(2):261-269. PubMed ID: 38159064 [TBL] [Abstract][Full Text] [Related]
14. 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]
15. Identification of key genes involved in the metastasis of clear cell renal cell carcinoma. Wei W; Lv Y; Gan Z; Zhang Y; Han X; Xu Z Oncol Lett; 2019 May; 17(5):4321-4328. PubMed ID: 30988807 [TBL] [Abstract][Full Text] [Related]
16. Comprehensive analysis and identification of key genes and signaling pathways in the occurrence and metastasis of cutaneous melanoma. Dai H; Guo L; Lin M; Cheng Z; Li J; Tang J; Huan X; Huang Y; Xu K PeerJ; 2020; 8():e10265. PubMed ID: 33240619 [TBL] [Abstract][Full Text] [Related]
17. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis. Li F; Guo P; Dong K; Guo P; Wang H; Lv X J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342 [No Abstract] [Full Text] [Related]
18. Identification of Yang H; Wang Y; Zhang Z; Li H Front Genet; 2020; 11():905. PubMed ID: 32973873 [TBL] [Abstract][Full Text] [Related]
19. Bioinformatics analysis and verification of gene targets for renal clear cell carcinoma. Li F; Jin Y; Pei X; Guo P; Dong K; Wang H; Chen Y; Guo P; Meng LB; Wang Z Comput Biol Chem; 2021 Jun; 92():107453. PubMed ID: 33636636 [TBL] [Abstract][Full Text] [Related]
20. Identification of differentially expressed genes, associated functional terms pathways, and candidate diagnostic biomarkers in inflammatory bowel diseases by bioinformatics analysis. Cheng C; Hua J; Tan J; Qian W; Zhang L; Hou X Exp Ther Med; 2019 Jul; 18(1):278-288. PubMed ID: 31258663 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]