190 related articles for article (PubMed ID: 36959648)
21. 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]
22. A Novel Cuprotosis-Related Gene FDX1 Signature for Overall Survival Prediction in Clear Cell Renal Cell Carcinoma Patients.
Zhang WT; Gong YM; Zhang CY; Pan JS; Huang T; Li YX
Biomed Res Int; 2022; 2022():9196540. PubMed ID: 36105937
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. Deciphering Immune-Associated Genes to Predict Survival in Clear Cell Renal Cell Cancer.
Hu D; Zhou M; Zhu X
Biomed Res Int; 2019; 2019():2506843. PubMed ID: 31886185
[TBL] [Abstract][Full Text] [Related]
25. Identification and validation of novel prognostic markers in Renal Cell Carcinoma.
Rabjerg M
Dan Med J; 2017 Oct; 64(10):. PubMed ID: 28975890
[TBL] [Abstract][Full Text] [Related]
26. Low expression of ferritinophagy-related NCOA4 gene in relation to unfavorable outcome and defective immune cells infiltration in clear cell renal carcinoma.
Mou Y; Wu J; Zhang Y; Abdihamid O; Duan C; Li B
BMC Cancer; 2021 Jan; 21(1):18. PubMed ID: 33402128
[TBL] [Abstract][Full Text] [Related]
27. Data mining combines bioinformatics discover immunoinfiltration-related gene SERPINE1 as a biomarker for diagnosis and prognosis of stomach adenocarcinoma.
Zhai Y; Liu X; Huang Z; Zhang J; Stalin A; Tan Y; Zhang F; Chen M; Shi R; Huang J; Wu C; Wu Z; Lu S; You L; Wu J
Sci Rep; 2023 Jan; 13(1):1373. PubMed ID: 36697459
[TBL] [Abstract][Full Text] [Related]
28. Identification and validation of
Li L; Li F; Xu Z; Li L; Hu H; Li Y; Yu S; Wang M; Gao L
Front Pharmacol; 2023; 14():1213891. PubMed ID: 37680718
[No Abstract] [Full Text] [Related]
29. Identification of Prognostic Biomarkers for Clear Cell Renal Cell Carcinoma (ccRCC) by Transcriptomics.
Zhang S; Xu X; Wang Y; Zhu Y; Wang J; Wang H; Guo J
Ann Clin Lab Sci; 2021 Sep; 51(5):597-608. PubMed ID: 34686501
[TBL] [Abstract][Full Text] [Related]
30.
Lin W; Chen X; Chen T; Liu J; Ye Y; Chen L; Qiu X; Chia-Hsien Cheng J; Zhang L; Wu J; Qiu S
DNA Cell Biol; 2020 Jun; 39(6):1000-1011. PubMed ID: 32282241
[TBL] [Abstract][Full Text] [Related]
31. Identification of candidate biomarker
Lv Q; Xiao W; Xiong Z; Shi J; Miao D; Meng X; Yuan H; Yang H; Zhang X
Front Biosci (Landmark Ed); 2021 Nov; 26(11):1176-1190. PubMed ID: 34856762
[No Abstract] [Full Text] [Related]
32. Identification of biomarkers related to CD8
Lin J; Yu M; Xu X; Wang Y; Xing H; An J; Yang J; Tang C; Sun D; Zhu Y
Aging (Albany NY); 2020 Feb; 12(4):3694-3712. PubMed ID: 32081834
[TBL] [Abstract][Full Text] [Related]
33. Prediction of overall survival based upon a new ferroptosis-related gene signature in patients with clear cell renal cell carcinoma.
Sun Z; Li T; Xiao C; Zou S; Zhang M; Zhang Q; Wang Z; Zhan H; Wang H
World J Surg Oncol; 2022 Apr; 20(1):120. PubMed ID: 35422048
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. 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]
36. Exploring the mechanism of clear cell renal cell carcinoma metastasis and key genes based on multi-tool joint analysis.
Yang H; Li W; Lv Y; Fan Q; Mao X; Long T; Xie L; Dong C; Yang R; Zhang H
Gene; 2019 Dec; 720():144103. PubMed ID: 31491435
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. Bioinformatic analysis identifies potentially key differentially expressed genes in oncogenesis and progression of clear cell renal cell carcinoma.
Zhang H; Zou J; Yin Y; Zhang B; Hu Y; Wang J; Mu H
PeerJ; 2019; 7():e8096. PubMed ID: 31788359
[TBL] [Abstract][Full Text] [Related]
39. Upregulated GSDMB in Clear Cell Renal Cell Carcinoma Is Associated with Immune Infiltrates and Poor Prognosis.
Cui Y; Zhou Z; Chai Y; Zhang Y
J Immunol Res; 2021; 2021():7753553. PubMed ID: 34957313
[TBL] [Abstract][Full Text] [Related]
40. High expression levels of DEF6 predicts a poor prognosis for patients with clear cell renal cell carcinoma.
Zhu ZP; Lin LR; Lv TD; Xu CR; Cai TY; Lin J
Oncol Rep; 2020 Nov; 44(5):2056-2066. PubMed ID: 33000227
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]