281 related articles for article (PubMed ID: 32712616)
21. Machine Learning Gene Signature to Metastatic ccRCC Based on ceRNA Network.
Farias E; Terrematte P; Stransky B
Int J Mol Sci; 2024 Apr; 25(8):. PubMed ID: 38673800
[TBL] [Abstract][Full Text] [Related]
22. Identification of potential key genes and key pathways related to clear cell renal cell carcinoma through bioinformatics analysis.
Zhai W; Lu H; Dong S; Fang J; Yu Z
Acta Biochim Biophys Sin (Shanghai); 2020 Aug; 52(8):853-863. PubMed ID: 32556097
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. Co-expression Network Analysis Identifies Fourteen Hub Genes Associated with Prognosis in Clear Cell Renal Cell Carcinoma.
Chen JY; Sun Y; Qiao N; Ge YY; Li JH; Lin Y; Yao SL
Curr Med Sci; 2020 Aug; 40(4):773-785. PubMed ID: 32862390
[TBL] [Abstract][Full Text] [Related]
25. Personalized discovery of altered pathways in clear cell renal cell carcinoma using accumulated normal sample data.
Wang X; Ding M; Yang Y; Feng Y; Shi Z; Qiu F; Zhu M
J BUON; 2016; 21(2):390-8. PubMed ID: 27273949
[TBL] [Abstract][Full Text] [Related]
26. Microarray data analysis on gene and miRNA expression to identify biomarkers in non-small cell lung cancer.
Jin X; Guan Y; Zhang Z; Wang H
BMC Cancer; 2020 Apr; 20(1):329. PubMed ID: 32299382
[TBL] [Abstract][Full Text] [Related]
27. miR-19a correlates with poor prognosis of clear cell renal cell carcinoma patients via promoting cell proliferation and suppressing PTEN/SMAD4 expression.
Ma Q; Peng Z; Wang L; Li Y; Wang K; Zheng J; Liang Z; Liu T
Int J Oncol; 2016 Dec; 49(6):2589-2599. PubMed ID: 27779660
[TBL] [Abstract][Full Text] [Related]
28. Clear Cell Renal Cell Carcinoma: A Comprehensive in silico Study in Searching for Therapeutic Targets.
Naghdibadi M; Momeni M; Yavari P; Gholaminejad A; Roointan A
Kidney Blood Press Res; 2023; 48(1):135-150. PubMed ID: 36854280
[TBL] [Abstract][Full Text] [Related]
29. MicroRNA expression profiling of Xp11 renal cell carcinoma.
Marchionni L; Hayashi M; Guida E; Ooki A; Munari E; Jabboure FJ; Dinalankara W; Raza A; Netto GJ; Hoque MO; Argani P
Hum Pathol; 2017 Sep; 67():18-29. PubMed ID: 28411178
[TBL] [Abstract][Full Text] [Related]
30. Identification of 9 key genes and small molecule drugs in clear cell renal cell carcinoma.
Luo Y; Shen D; Chen L; Wang G; Liu X; Qian K; Xiao Y; Wang X; Ju L
Aging (Albany NY); 2019 Aug; 11(16):6029-6052. PubMed ID: 31422942
[TBL] [Abstract][Full Text] [Related]
31. Integrated microRNA and mRNA Signature Associated with the Transition from the Locally Confined to the Metastasized Clear Cell Renal Cell Carcinoma Exemplified by miR-146-5p.
Wotschofsky Z; Gummlich L; Liep J; Stephan C; Kilic E; Jung K; Billaud JN; Meyer HA
PLoS One; 2016; 11(2):e0148746. PubMed ID: 26859141
[TBL] [Abstract][Full Text] [Related]
32. Exploring the miRNA-mRNA regulatory network in clear cell renal cell carcinomas by next-generation sequencing expression profiles.
Müller S; Nowak K
Biomed Res Int; 2014; 2014():948408. PubMed ID: 24977165
[TBL] [Abstract][Full Text] [Related]
33. miRNA-target network reveals miR-124as a key miRNA contributing to clear cell renal cell carcinoma aggressive behaviour by targeting CAV1 and FLOT1.
Butz H; Szabó PM; Khella HW; Nofech-Mozes R; Patocs A; Yousef GM
Oncotarget; 2015 May; 6(14):12543-57. PubMed ID: 26002553
[TBL] [Abstract][Full Text] [Related]
34. Integrated analysis of microRNA and gene expression profiles reveals a functional regulatory module associated with liver fibrosis.
Chen W; Zhao W; Yang A; Xu A; Wang H; Cong M; Liu T; Wang P; You H
Gene; 2017 Dec; 636():87-95. PubMed ID: 28919164
[TBL] [Abstract][Full Text] [Related]
35. Screening, identification and validation of CCND1 and PECAM1/CD31 for predicting prognosis in renal cell carcinoma patients.
Yang JF; Shi SN; Xu WH; Qiu YH; Zheng JZ; Yu K; Song XY; Li F; Wang Y; Wang R; Qu YY; Zhang HL; Zhou XQ
Aging (Albany NY); 2019 Dec; 11(24):12057-12079. PubMed ID: 31850854
[TBL] [Abstract][Full Text] [Related]
36. Identification of key genes and pathways in human clear cell renal cell carcinoma (ccRCC) by co-expression analysis.
Yuan L; Zeng G; Chen L; Wang G; Wang X; Cao X; Lu M; Liu X; Qian G; Xiao Y; Wang X
Int J Biol Sci; 2018; 14(3):266-279. PubMed ID: 29559845
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. miR-141 is a key regulator of renal cell carcinoma proliferation and metastasis by controlling EphA2 expression.
Chen X; Wang X; Ruan A; Han W; Zhao Y; Lu X; Xiao P; Shi H; Wang R; Chen L; Chen S; Du Q; Yang H; Zhang X
Clin Cancer Res; 2014 May; 20(10):2617-30. PubMed ID: 24647573
[TBL] [Abstract][Full Text] [Related]
39. Integrated genomic analysis identifies clinically relevant subtypes of renal clear cell carcinoma.
Wu P; Liu JL; Pei SM; Wu CP; Yang K; Wang SP; Wu S
BMC Cancer; 2018 Mar; 18(1):287. PubMed ID: 29534679
[TBL] [Abstract][Full Text] [Related]
40. Identification and Verification of Biomarker in Clear Cell Renal Cell Carcinoma via Bioinformatics and Neural Network Model.
Liu B; Xiao Y; Li H; Zhang AL; Meng LB; Feng L; Zhao ZH; Ni XC; Fan B; Zhang XY; Zhao SB; Liu YB
Biomed Res Int; 2020; 2020():6954793. PubMed ID: 32626756
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]