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Items: 1 to 20 of 109

1.

Identifying a Novel Biomarker TOP2A of Clear Cell Renal Cell Carcinoma (ccRCC) Associated with Smoking by Co-Expression Network Analysis.

Xiong Y, Yuan L, Chen L, Zhu Y, Zhang S, Liu X, Xiao Y, Wang X.

J Cancer. 2018 Oct 10;9(21):3912-3922. doi: 10.7150/jca.25900. eCollection 2018.

2.

Co-expression network analysis identified six hub genes in association with progression and prognosis in human clear cell renal cell carcinoma (ccRCC).

Yuan L, Chen L, Qian K, Qian G, Wu CL, Wang X, Xiao Y.

Genom Data. 2017 Nov 4;14:132-140. doi: 10.1016/j.gdata.2017.10.006. eCollection 2017 Dec.

3.

ACAT1 and Metabolism-Related Pathways Are Essential for the Progression of Clear Cell Renal Cell Carcinoma (ccRCC), as Determined by Co-expression Network Analysis.

Chen L, Peng T, Luo Y, Zhou F, Wang G, Qian K, Xiao Y, Wang X.

Front Oncol. 2019 Oct 9;9:957. doi: 10.3389/fonc.2019.00957. eCollection 2019.

4.

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 18;11(16):6029-6052. doi: 10.18632/aging.102161. Epub 2019 Aug 18.

5.

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 Feb 12;14(3):266-279. doi: 10.7150/ijbs.23574. eCollection 2018.

6.

Identification of Biomarkers Associated With Pathological Stage and Prognosis of Clear Cell Renal Cell Carcinoma by Co-expression Network Analysis.

Chen L, Yuan L, Qian K, Qian G, Zhu Y, Wu CL, Dan HC, Xiao Y, Wang X.

Front Physiol. 2018 Apr 18;9:399. doi: 10.3389/fphys.2018.00399. eCollection 2018.

7.

Three novel hub genes and their clinical significance in clear cell renal cell carcinoma.

Xiao H, Chen P, Zeng G, Xu D, Wang X, Zhang X.

J Cancer. 2019 Nov 1;10(27):6779-6791. doi: 10.7150/jca.35223. eCollection 2019.

8.

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. doi: 10.1016/j.biopha.2019.109264. Epub 2019 Aug 4.

9.

Co-expression network analysis identified FCER1G in association with progression and prognosis in human clear cell renal cell carcinoma.

Chen L, Yuan L, Wang Y, Wang G, Zhu Y, Cao R, Qian G, Xie C, Liu X, Xiao Y, Wang X.

Int J Biol Sci. 2017 Nov 1;13(11):1361-1372. doi: 10.7150/ijbs.21657. eCollection 2017.

10.

Fifteen hub genes associated with progression and prognosis of clear cell renal cell carcinoma identified by coexpression analysis.

Wang Y, Chen L, Wang G, Cheng S, Qian K, Liu X, Wu CL, Xiao Y, Wang X.

J Cell Physiol. 2019 Jul;234(7):10225-10237. doi: 10.1002/jcp.27692. Epub 2018 Nov 11.

PMID:
30417363
11.

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 Nov 26;7:e8096. doi: 10.7717/peerj.8096. eCollection 2019.

12.

Overexpression of Topoisomerase 2-Alpha Confers a Poor Prognosis in Pancreatic Adenocarcinoma Identified by Co-Expression Analysis.

Zhou Z, Liu S, Zhang M, Zhou R, Liu J, Chang Y, Zhao Q.

Dig Dis Sci. 2017 Oct;62(10):2790-2800. doi: 10.1007/s10620-017-4718-4. Epub 2017 Aug 16.

PMID:
28815403
13.

Bioinformatic identification of key genes and analysis of prognostic values in clear cell renal cell carcinoma.

Luo T, Chen X, Zeng S, Guan B, Hu B, Meng Y, Liu F, Wong T, Lu Y, Yun C, Hocher B, Yin L.

Oncol Lett. 2018 Aug;16(2):1747-1757. doi: 10.3892/ol.2018.8842. Epub 2018 May 30.

14.

Gene expression analysis in clear cell renal cell carcinoma using gene set enrichment analysis for biostatistical management.

Maruschke M, Reuter D, Koczan D, Hakenberg OW, Thiesen HJ.

BJU Int. 2011 Jul;108(2 Pt 2):E29-35. doi: 10.1111/j.1464-410X.2010.09794.x. Epub 2011 Mar 16.

15.

LncRNA SNHG3 promotes clear cell renal cell carcinoma proliferation and migration by upregulating TOP2A.

Zhang C, Qu Y, Xiao H, Xiao W, Liu J, Gao Y, Li M, Liu J.

Exp Cell Res. 2019 Nov 1;384(1):111595. doi: 10.1016/j.yexcr.2019.111595. Epub 2019 Sep 7.

PMID:
31505165
16.

Co-expression network analysis identified CDH11 in association with progression and prognosis in gastric cancer.

Chen PF, Wang F, Nie JY, Feng JR, Liu J, Zhou R, Wang HL, Zhao Q.

Onco Targets Ther. 2018 Oct 2;11:6425-6436. doi: 10.2147/OTT.S176511. eCollection 2018.

17.

A novel correlation between ATP5A1 gene expression and progression of human clear cell renal cell carcinoma identified by co‑expression analysis.

Yuan L, Chen L, Qian K, Wang G, Lu M, Qian G, Cao X, Jiang W, Xiao Y, Wang X.

Oncol Rep. 2018 Feb;39(2):525-536. doi: 10.3892/or.2017.6132. Epub 2017 Dec 4.

18.

A TOP2A-derived cancer panel drives cancer progression in papillary renal cell carcinoma.

Ye M, He Z, Dai W, Li Z, Chen X, Liu J.

Oncol Lett. 2018 Oct;16(4):4169-4178. doi: 10.3892/ol.2018.9179. Epub 2018 Jul 19.

19.

PPARα gene is a diagnostic and prognostic biomarker in clear cell renal cell carcinoma by integrated bioinformatics analysis.

Luo Y, Chen L, Wang G, Qian G, Liu X, Xiao Y, Wang X, Qian K.

J Cancer. 2019 May 22;10(10):2319-2331. doi: 10.7150/jca.29178. eCollection 2019.

20.

Co-expression Network Analysis of Biomarkers for Adrenocortical Carcinoma.

Yuan L, Qian G, Chen L, Wu CL, Dan HC, Xiao Y, Wang X.

Front Genet. 2018 Aug 15;9:328. doi: 10.3389/fgene.2018.00328. eCollection 2018.

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