357 related articles for article (PubMed ID: 30816528)
1. The underlying molecular mechanism and potential drugs for treatment in papillary renal cell carcinoma: A study based on TCGA and Cmap datasets.
Pang JS; Li ZK; Lin P; Wang XD; Chen G; Yan HB; Li SH
Oncol Rep; 2019 Apr; 41(4):2089-2102. PubMed ID: 30816528
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Bioinformatics Study Identified EGF as a Crucial Gene in Papillary Renal Cell Cancer.
Qu G; Wang H; Tang C; Yang G; Xu Y
Dis Markers; 2022; 2022():4761803. PubMed ID: 35655917
[TBL] [Abstract][Full Text] [Related]
5. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Identification of potential drugs for diffuse large b-cell lymphoma based on bioinformatics and Connectivity Map database.
Luo B; Gu YY; Wang XD; Chen G; Peng ZG
Pathol Res Pract; 2018 Nov; 214(11):1854-1867. PubMed ID: 30244948
[TBL] [Abstract][Full Text] [Related]
8. Identification of 4-genes model in papillary renal cell tumor microenvironment based on comprehensive analysis.
Luo L; Zhou H; Su H
BMC Cancer; 2021 May; 21(1):553. PubMed ID: 33993869
[TBL] [Abstract][Full Text] [Related]
9. Identification of potential biomarkers associated with immune infiltration in papillary renal cell carcinoma.
Deng R; Li J; Zhao H; Zou Z; Man J; Cao J; Yang L
J Clin Lab Anal; 2021 Nov; 35(11):e24022. PubMed ID: 34606125
[TBL] [Abstract][Full Text] [Related]
10. Correlating Transcriptional Networks to Papillary Renal Cell Carcinoma Survival: A Large-Scale Coexpression Analysis and Clinical Validation.
Feng X; Zhang M; Meng J; Wang Y; Liu Y; Liang C; Fan S
Oncol Res; 2020 May; 28(3):285-297. PubMed ID: 31948514
[TBL] [Abstract][Full Text] [Related]
11. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
[TBL] [Abstract][Full Text] [Related]
12. Three-gene risk model in papillary renal cell carcinoma: a robust likelihood-based survival analysis.
Wang Y; Yan K; Lin J; Wang J; Zheng Z; Li X; Hua Z; Bu Y; Shi J; Sun S; Li X; Liu Y; Bi J
Aging (Albany NY); 2020 Nov; 12(21):21854-21873. PubMed ID: 33154194
[TBL] [Abstract][Full Text] [Related]
13. Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gastric cancer.
Wu Q; Zhang B; Wang Z; Hu X; Sun Y; Xu R; Chen X; Wang Q; Ju F; Ren S; Zhang C; Qi F; Ma Q; Xue Q; Zhou YL
Pathol Res Pract; 2019 May; 215(5):1038-1048. PubMed ID: 30975489
[TBL] [Abstract][Full Text] [Related]
14. Papillary renal cell carcinoma: a clinicopathological and whole-genome exon sequencing study.
Liu K; Ren Y; Pang L; Qi Y; Jia W; Tao L; Hu Z; Zhao J; Zhang H; Li L; Yue H; Han J; Liang W; Hu J; Zou H; Yuan X; Li F
Int J Clin Exp Pathol; 2015; 8(7):8311-35. PubMed ID: 26339402
[TBL] [Abstract][Full Text] [Related]
15. Integrated Phenotypic/Genotypic Analysis of Papillary Renal Cell Carcinoma Subtypes: Identification of Prognostic Markers, Cancer-related Pathways, and Implications for Therapy.
Saleeb RM; Plant P; Tawedrous E; Krizova A; Brimo F; Evans AJ; Wala SJ; Bartlett J; Ding Q; Boles D; Rotando F; Farag M; Yousef GM
Eur Urol Focus; 2018 Sep; 4(5):740-748. PubMed ID: 28753789
[TBL] [Abstract][Full Text] [Related]
16. Identification of key genes and associated pathways in KIT/PDGFRA wild‑type gastrointestinal stromal tumors through bioinformatics analysis.
Wang WJ; Li HT; Yu JP; Li YM; Han XP; Chen P; Yu WW; Chen WK; Jiao ZY; Liu HB
Mol Med Rep; 2018 Nov; 18(5):4499-4515. PubMed ID: 30221743
[TBL] [Abstract][Full Text] [Related]
17. The promising novel biomarkers and candidate small molecule drugs in kidney renal clear cell carcinoma: Evidence from bioinformatics analysis of high-throughput data.
Zhang B; Wu Q; Wang Z; Xu R; Hu X; Sun Y; Wang Q; Ju F; Ren S; Zhang C; Qin L; Ma Q; Zhou YL
Mol Genet Genomic Med; 2019 May; 7(5):e607. PubMed ID: 30793530
[TBL] [Abstract][Full Text] [Related]
18. A network-based predictive gene expression signature for recurrence risks in stage II colorectal cancer.
Yang WJ; Wang HB; Wang WD; Bai PY; Lu HX; Sun CH; Liu ZS; Guan DK; Yang GW; Zhang GL
Cancer Med; 2020 Jan; 9(1):179-193. PubMed ID: 31724326
[TBL] [Abstract][Full Text] [Related]
19. Integrated Bioinformatics Analysis Identifies Hub Genes Associated with the Pathogenesis and Prognosis of Esophageal Squamous Cell Carcinoma.
Zhang H; Zhong J; Tu Y; Liu B; Chen Z; Luo Y; Tang Y; Xiao F; Zhong J
Biomed Res Int; 2019; 2019():2615921. PubMed ID: 31950035
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
