170 related articles for article (PubMed ID: 33434215)
1. Identification of biomarkers and construction of a microRNA‑mRNA regulatory network for clear cell renal cell carcinoma using integrated bioinformatics analysis.
Han M; Yan H; Yang K; Fan B; Liu P; Yang H
PLoS One; 2021; 16(1):e0244394. PubMed ID: 33434215
[TBL] [Abstract][Full Text] [Related]
2. Construct a circRNA/miRNA/mRNA regulatory network to explore potential pathogenesis and therapy options of clear cell renal cell carcinoma.
Bai S; Wu Y; Yan Y; Shao S; Zhang J; Liu J; Hui B; Liu R; Ma H; Zhang X; Ren J
Sci Rep; 2020 Aug; 10(1):13659. PubMed ID: 32788609
[TBL] [Abstract][Full Text] [Related]
3. Construction of circRNA-based ceRNA network to reveal the role of circRNAs in the progression and prognosis of metastatic clear cell renal cell carcinoma.
Wei X; Dong Y; Chen X; Ren X; Li G; Wang Y; Wang Y; Zhang T; Wang S; Qin C; Song N
Aging (Albany NY); 2020 Nov; 12(23):24184-24207. PubMed ID: 33223511
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Integrated Analysis of Three Publicly Available Gene Expression Profiles Identified Genes and Pathways Associated with Clear Cell Renal Cell Carcinoma.
Han Y; Wang L; Wang Y
Med Sci Monit; 2020 Jul; 26():e919965. PubMed ID: 32712616
[TBL] [Abstract][Full Text] [Related]
6. MicroRNA Expression Profiling in Clear Cell Renal Cell Carcinoma: Identification and Functional Validation of Key miRNAs.
He H; Wang L; Zhou W; Zhang Z; Wang L; Xu S; Wang D; Dong J; Tang C; Tang H; Yi X; Ge J
PLoS One; 2015; 10(5):e0125672. PubMed ID: 25938468
[TBL] [Abstract][Full Text] [Related]
7. Bioinformatics Analysis Identifies the Estrogen Receptor 1 (ESR1) Gene and hsa-miR-26a-5p as Potential Prognostic Biomarkers in Patients with Intrahepatic Cholangiocarcinoma.
Qin X; Song Y
Med Sci Monit; 2020 May; 26():e921815. PubMed ID: 32435051
[TBL] [Abstract][Full Text] [Related]
8. Screening and identification of key biomarkers of papillary renal cell carcinoma by bioinformatic analysis.
Xu Y; Kong D; Li Z; Qian L; Li J; Zou C
PLoS One; 2021; 16(8):e0254868. PubMed ID: 34358255
[TBL] [Abstract][Full Text] [Related]
9. Determination of the key ccRCC-related molecules from monolayer network to three-layer network.
Wu Y; Ding Y; Wang J; Wang X
Cancer Genet; 2021 Aug; 256-257():40-47. PubMed ID: 33887693
[TBL] [Abstract][Full Text] [Related]
10. An Integrated Data Analysis of mRNA, miRNA and Signaling Pathways in Pancreatic Cancer.
Sohrabi E; Rezaie E; Heiat M; Sefidi-Heris Y
Biochem Genet; 2021 Oct; 59(5):1326-1358. PubMed ID: 33813720
[TBL] [Abstract][Full Text] [Related]
11. Identification of invasion-metastasis-associated microRNAs in hepatocellular carcinoma based on bioinformatic analysis and experimental validation.
Lou W; Chen J; Ding B; Chen D; Zheng H; Jiang D; Xu L; Bao C; Cao G; Fan W
J Transl Med; 2018 Sep; 16(1):266. PubMed ID: 30268144
[TBL] [Abstract][Full Text] [Related]
12. Biomarker identification in clear cell renal cell carcinoma based on miRNA-seq and digital gene expression-seq data.
Guan L; Tan J; Li H; Jin X
Gene; 2018 Mar; 647():205-212. PubMed ID: 29253611
[TBL] [Abstract][Full Text] [Related]
13. Identification of key genes and signalling pathways in clear cell renal cell carcinoma: An integrated bioinformatics approach.
S V; Balasubramanian S; Perumal E; Santhakumar K
Cancer Biomark; 2024; 40(1):111-123. PubMed ID: 38427469
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Systematic analysis of alternative splicing signature unveils prognostic predictor for kidney renal clear cell carcinoma.
Song J; Liu YD; Su J; Yuan D; Sun F; Zhu J
J Cell Physiol; 2019 Dec; 234(12):22753-22764. PubMed ID: 31140607
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. 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]
20. Integrative analysis of protein-coding and non-coding RNAs identifies clinically relevant subtypes of clear cell renal cell carcinoma.
Li Z; Chen Y; Hu S; Zhang J; Wu J; Ren W; Shao N; Ying X
Oncotarget; 2016 Dec; 7(50):82671-82685. PubMed ID: 27705920
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]