286 related articles for article (PubMed ID: 32420151)
1. Identification of significant genes with prognostic influence in clear cell renal cell carcinoma via bioinformatics analysis.
Zhang F; Wu P; Wang Y; Zhang M; Wang X; Wang T; Li S; Wei D
Transl Androl Urol; 2020 Apr; 9(2):452-461. PubMed ID: 32420151
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. Identification of Prognostic Related Hub Genes in Clear-Cell Renal Cell Carcinoma
Jiang P; Sun TT; Chen CW; Huang RS; Zhong ZM; Lou XJ; Liu G; Wang L; Zuo RH
Chin Med Sci J; 2021 Jun; 36(2):127-134. PubMed ID: 34231461
[TBL] [Abstract][Full Text] [Related]
6. Identification of TYROBP and FCER1G as Key Genes with Prognostic Value in Clear Cell Renal Cell Carcinoma by Bioinformatics Analysis.
Wang L; Lin Y; Yuan Y; Liu F; Sun K
Biochem Genet; 2021 Oct; 59(5):1278-1294. PubMed ID: 33786672
[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. Integrated bioinformatics analysis to identify the key gene associated with metastatic clear cell renal cell carcinoma.
Miao S; Song J; Liu Q; Lai J; Wang H; Ran L
Med Oncol; 2022 Jun; 39(9):128. PubMed ID: 35716215
[TBL] [Abstract][Full Text] [Related]
9. Identification of significant genes as prognostic markers and potential tumor suppressors in lung adenocarcinoma via bioinformatical analysis.
Lu M; Fan X; Liao W; Li Y; Ma L; Yuan M; Gu R; Wei Z; Wang C; Zhang H
BMC Cancer; 2021 May; 21(1):616. PubMed ID: 34039311
[TBL] [Abstract][Full Text] [Related]
10. Identification of biomarkers and potential molecular mechanisms of clear cell renal cell carcinoma.
Wu F; Wu S; Gou X
Neoplasma; 2018; 65(2):242-252. PubMed ID: 29534586
[TBL] [Abstract][Full Text] [Related]
11. Ceruloplasmin overexpression is associated with oncogenic pathways and poorer survival rates in clear-cell renal cell carcinoma.
Zhang Y; Chen Z; Chen JG; Chen XF; Gu DH; Liu ZM; Gao YD; Zheng B
FEBS Open Bio; 2021 Nov; 11(11):2988-3004. PubMed ID: 34449964
[TBL] [Abstract][Full Text] [Related]
12. Expression of gasdermin D in clear cell renal cell carcinoma and its effect on its biological function.
Zhang J; Wang Y; Ma J; Aimudula A
Front Oncol; 2023; 13():1163714. PubMed ID: 37483501
[TBL] [Abstract][Full Text] [Related]
13. Identification of ATP6V0A4 as a potential biomarker in renal cell carcinoma using integrated bioinformatics analysis.
Xu J; Jiang J; Yin C; Wang Y; Shi B
Oncol Lett; 2023 Sep; 26(3):366. PubMed ID: 37559594
[TBL] [Abstract][Full Text] [Related]
14. Bioinformatic analysis identifying FGF1 gene as a new prognostic indicator in clear cell Renal Cell Carcinoma.
Zhang X; Wang Z; Zeng Z; Shen N; Wang B; Zhang Y; Shen H; Lu W; Wei R; Ma W; Wang C
Cancer Cell Int; 2021 Apr; 21(1):222. PubMed ID: 33865387
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Identification of biomarkers of clear cell renal cell carcinoma by bioinformatics analysis.
Zhang N; Chen W; Gan Z; Abudurexiti A; Hu X; Sang W
Medicine (Baltimore); 2020 May; 99(21):e20470. PubMed ID: 32481352
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. 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]
20. Identification of potential pathogenic biomarkers in clear cell renal cell carcinoma.
Wang Z; Zhang Z; Zhang C; Xu Y
Oncol Lett; 2018 Jun; 15(6):8491-8499. PubMed ID: 29805586
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]