Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 100

1.

Flux balance analysis predicts essential genes in clear cell renal cell carcinoma metabolism.

Gatto F, Miess H, Schulze A, Nielsen J.

Sci Rep. 2015 Jun 4;5:10738. doi: 10.1038/srep10738.

2.

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.

3.

Deregulation of energetic metabolism in the clear cell renal cell carcinoma: A multiple pathway analysis based on microarray profiling.

Soltysova A, Breza J, Takacova M, Feruszova J, Hudecova S, Novotna B, Rozborilova E, Pastorekova S, Kadasi L, Krizanova O.

Int J Oncol. 2015 Jul;47(1):287-95. doi: 10.3892/ijo.2015.3014. Epub 2015 May 19.

PMID:
25998032
4.

Expression of pre-selected TMEMs with predicted ER localization as potential classifiers of ccRCC tumors.

Wrzesiński T, Szelag M, Cieślikowski WA, Ida A, Giles R, Zodro E, Szumska J, Poźniak J, Kwias Z, Bluyssen HA, Wesoly J.

BMC Cancer. 2015 Jul 14;15:518. doi: 10.1186/s12885-015-1530-4.

5.

An integrated analysis of cancer genes in clear cell renal cell carcinoma.

Li J, Guo L, Ai Z.

Future Oncol. 2017 Apr;13(8):715-725. doi: 10.2217/fon-2016-0473. Epub 2017 Feb 24.

PMID:
28266251
6.

Abnormal gene expression profile reveals the common key signatures associated with clear cell renal cell carcinoma: a meta-analysis.

Zhang HJ, Sun ZQ, Qian WQ, Sheng L.

Genet Mol Res. 2015 Mar 27;14(1):2216-24. doi: 10.4238/2015.March.27.7.

7.

Overexpression of FABP7 promotes cell growth and predicts poor prognosis of clear cell renal cell carcinoma.

Zhou J, Deng Z, Chen Y, Gao Y, Wu D, Zhu G, Li L, Song W, Wang X, Wu K, He D.

Urol Oncol. 2015 Mar;33(3):113.e9-17. doi: 10.1016/j.urolonc.2014.08.001. Epub 2014 Sep 2.

PMID:
25192834
8.

Integrated profiling of microRNAs and mRNAs: microRNAs located on Xq27.3 associate with clear cell renal cell carcinoma.

Zhou L, Chen J, Li Z, Li X, Hu X, Huang Y, Zhao X, Liang C, Wang Y, Sun L, Shi M, Xu X, Shen F, Chen M, Han Z, Peng Z, Zhai Q, Chen J, Zhang Z, Yang R, Ye J, Guan Z, Yang H, Gui Y, Wang J, Cai Z, Zhang X.

PLoS One. 2010 Dec 30;5(12):e15224. doi: 10.1371/journal.pone.0015224.

9.

MYC pathway is activated in clear cell renal cell carcinoma and essential for proliferation of clear cell renal cell carcinoma cells.

Tang SW, Chang WH, Su YC, Chen YC, Lai YH, Wu PT, Hsu CI, Lin WC, Lai MK, Lin JY.

Cancer Lett. 2009 Jan 8;273(1):35-43. doi: 10.1016/j.canlet.2008.07.038. Epub 2008 Sep 21.

PMID:
18809243
10.

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 Mar-Apr;21(2):390-8.

PMID:
27273949
11.

Clear cell renal cell carcinoma associated microRNA expression signatures identified by an integrated bioinformatics analysis.

Chen J, Zhang D, Zhang W, Tang Y, Yan W, Guo L, Shen B.

J Transl Med. 2013 Jul 10;11:169. doi: 10.1186/1479-5876-11-169.

12.

Chromosome 3p loss of heterozygosity is associated with a unique metabolic network in clear cell renal carcinoma.

Gatto F, Nookaew I, Nielsen J.

Proc Natl Acad Sci U S A. 2014 Mar 4;111(9):E866-75. doi: 10.1073/pnas.1319196111. Epub 2014 Feb 18.

13.

A computational method using differential gene expression to predict altered metabolism of multicellular organisms.

Zhu L, Zheng H, Hu X, Xu Y.

Mol Biosyst. 2017 Oct 24;13(11):2418-2427. doi: 10.1039/c7mb00462a.

PMID:
28972214
14.

High expression of long non-coding RNA SPRY4-IT1 predicts poor prognosis of clear cell renal cell carcinoma.

Zhang HM, Yang FQ, Yan Y, Che JP, Zheng JH.

Int J Clin Exp Pathol. 2014 Aug 15;7(9):5801-9. eCollection 2014.

15.

Distinct von Hippel-Lindau gene and hypoxia-regulated alterations in gene and protein expression patterns of renal cell carcinoma and their effects on metabolism.

Leisz S, Schulz K, Erb S, Oefner P, Dettmer K, Mougiakakos D, Wang E, Marincola FM, Stehle F, Seliger B.

Oncotarget. 2015 May 10;6(13):11395-406.

16.
17.

Tissue-wide expression profiling using cDNA subtraction and microarrays to identify tumor-specific genes.

Amatschek S, Koenig U, Auer H, Steinlein P, Pacher M, Gruenfelder A, Dekan G, Vogl S, Kubista E, Heider KH, Stratowa C, Schreiber M, Sommergruber W.

Cancer Res. 2004 Feb 1;64(3):844-56.

18.

Genome-wide microRNA expression analysis of clear cell renal cell carcinoma by next generation deep sequencing.

Osanto S, Qin Y, Buermans HP, Berkers J, Lerut E, Goeman JJ, van Poppel H.

PLoS One. 2012;7(6):e38298. doi: 10.1371/journal.pone.0038298. Epub 2012 Jun 20.

19.

Integrated molecular analysis of clear-cell renal cell carcinoma.

Sato Y, Yoshizato T, Shiraishi Y, Maekawa S, Okuno Y, Kamura T, Shimamura T, Sato-Otsubo A, Nagae G, Suzuki H, Nagata Y, Yoshida K, Kon A, Suzuki Y, Chiba K, Tanaka H, Niida A, Fujimoto A, Tsunoda T, Morikawa T, Maeda D, Kume H, Sugano S, Fukayama M, Aburatani H, Sanada M, Miyano S, Homma Y, Ogawa S.

Nat Genet. 2013 Aug;45(8):860-7. doi: 10.1038/ng.2699. Epub 2013 Jun 24.

PMID:
23797736
20.

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 May 4;10(5):e0125672. doi: 10.1371/journal.pone.0125672. eCollection 2015.

Supplemental Content

Support Center