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Items: 1 to 20 of 96

1.

Cell line modeling for systems medicine in cancers (review).

Kim N, He N, Yoon S.

Int J Oncol. 2014 Feb;44(2):371-6. doi: 10.3892/ijo.2013.2202. Epub 2013 Dec 2. Review.

2.

Systematic analysis of genotype-specific drug responses in cancer.

Kim N, He N, Kim C, Zhang F, Lu Y, Yu Q, Stemke-Hale K, Greshock J, Wooster R, Yoon S, Mills GB.

Int J Cancer. 2012 Nov 15;131(10):2456-64. doi: 10.1002/ijc.27529. Epub 2012 Mar 29.

3.

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.

Barretina J, Caponigro G, Stransky N, Venkatesan K, Margolin AA, Kim S, Wilson CJ, Lehár J, Kryukov GV, Sonkin D, Reddy A, Liu M, Murray L, Berger MF, Monahan JE, Morais P, Meltzer J, Korejwa A, Jané-Valbuena J, Mapa FA, Thibault J, Bric-Furlong E, Raman P, Shipway A, Engels IH, Cheng J, Yu GK, Yu J, Aspesi P Jr, de Silva M, Jagtap K, Jones MD, Wang L, Hatton C, Palescandolo E, Gupta S, Mahan S, Sougnez C, Onofrio RC, Liefeld T, MacConaill L, Winckler W, Reich M, Li N, Mesirov JP, Gabriel SB, Getz G, Ardlie K, Chan V, Myer VE, Weber BL, Porter J, Warmuth M, Finan P, Harris JL, Meyerson M, Golub TR, Morrissey MP, Sellers WR, Schlegel R, Garraway LA.

Nature. 2012 Mar 28;483(7391):603-7. doi: 10.1038/nature11003. Erratum in: Nature. 2012 Dec 13;492(7428):290.

4.

Cell line-based platforms to evaluate the therapeutic efficacy of candidate anticancer agents.

Sharma SV, Haber DA, Settleman J.

Nat Rev Cancer. 2010 Apr;10(4):241-53. doi: 10.1038/nrc2820. Epub 2010 Mar 19. Review.

PMID:
20300105
5.

An integrated database of chemosensitivity to 55 anticancer drugs and gene expression profiles of 39 human cancer cell lines.

Dan S, Tsunoda T, Kitahara O, Yanagawa R, Zembutsu H, Katagiri T, Yamazaki K, Nakamura Y, Yamori T.

Cancer Res. 2002 Feb 15;62(4):1139-47.

6.

Molecular classification and drug response prediction in cancer.

Creighton CJ.

Curr Drug Targets. 2012 Nov;13(12):1488-94. Review.

PMID:
22974392
7.

Panel of human cancer cell lines provides valuable database for drug discovery and bioinformatics.

Yamori T.

Cancer Chemother Pharmacol. 2003 Jul;52 Suppl 1:S74-9. Epub 2003 Jun 18. Review.

PMID:
12819939
8.

Target inhibition networks: predicting selective combinations of druggable targets to block cancer survival pathways.

Tang J, Karhinen L, Xu T, Szwajda A, Yadav B, Wennerberg K, Aittokallio T.

PLoS Comput Biol. 2013;9(9):e1003226. doi: 10.1371/journal.pcbi.1003226. Epub 2013 Sep 12.

9.

Generation of a predictive melphalan resistance index by drug screen of B-cell cancer cell lines.

Boegsted M, Holst JM, Fogd K, Falgreen S, Sørensen S, Schmitz A, Bukh A, Johnsen HE, Nyegaard M, Dybkaer K.

PLoS One. 2011 Apr 29;6(4):e19322. doi: 10.1371/journal.pone.0019322.

10.

Identification of genotype-correlated sensitivity to selective kinase inhibitors by using high-throughput tumor cell line profiling.

McDermott U, Sharma SV, Dowell L, Greninger P, Montagut C, Lamb J, Archibald H, Raudales R, Tam A, Lee D, Rothenberg SM, Supko JG, Sordella R, Ulkus LE, Iafrate AJ, Maheswaran S, Njauw CN, Tsao H, Drew L, Hanke JH, Ma XJ, Erlander MG, Gray NS, Haber DA, Settleman J.

Proc Natl Acad Sci U S A. 2007 Dec 11;104(50):19936-41. Epub 2007 Dec 6.

11.

Identification of molecular determinants of tumor sensitivity and resistance to anticancer drugs.

Quintieri L, Fantin M, Vizler C.

Adv Exp Med Biol. 2007;593:95-104. Review.

PMID:
17265720
12.

Molecular target class is predictive of in vitro response profile.

Greshock J, Bachman KE, Degenhardt YY, Jing J, Wen YH, Eastman S, McNeil E, Moy C, Wegrzyn R, Auger K, Hardwicke MA, Wooster R.

Cancer Res. 2010 May 1;70(9):3677-86. doi: 10.1158/0008-5472.CAN-09-3788. Epub 2010 Apr 20.

13.

Personalised medicine for cancer: from drug development into clinical practice.

Jain KK.

Expert Opin Pharmacother. 2005 Aug;6(9):1463-76. Review.

PMID:
16086635
14.

Anti-cancer natural product library from traditional chinese medicine.

Konkimalla VB, Efferth T.

Comb Chem High Throughput Screen. 2008 Jan;11(1):7-15.

PMID:
18220539
15.

Comparison and validation of genomic predictors for anticancer drug sensitivity.

Papillon-Cavanagh S, De Jay N, Hachem N, Olsen C, Bontempi G, Aerts HJ, Quackenbush J, Haibe-Kains B.

J Am Med Inform Assoc. 2013 Jul-Aug;20(4):597-602. doi: 10.1136/amiajnl-2012-001442. Epub 2013 Jan 26.

16.

Anticancer drug clustering in lung cancer based on gene expression profiles and sensitivity database.

Gemma A, Li C, Sugiyama Y, Matsuda K, Seike Y, Kosaihira S, Minegishi Y, Noro R, Nara M, Seike M, Yoshimura A, Shionoya A, Kawakami A, Ogawa N, Uesaka H, Kudoh S.

BMC Cancer. 2006 Jun 30;6:174.

17.

[Gene expression profiling for prediction of response to chemotherapy].

Shimoji T, Miki Y, Nagasaki K.

Gan To Kagaku Ryoho. 2006 Jan;33(1):1-5. Review. Japanese.

PMID:
16410689
18.

Discovery of drug mode of action and drug repositioning from transcriptional responses.

Iorio F, Bosotti R, Scacheri E, Belcastro V, Mithbaokar P, Ferriero R, Murino L, Tagliaferri R, Brunetti-Pierri N, Isacchi A, di Bernardo D.

Proc Natl Acad Sci U S A. 2010 Aug 17;107(33):14621-6. doi: 10.1073/pnas.1000138107. Epub 2010 Aug 2.

19.

Exploiting genetic complexity in cancer to improve therapeutic strategies.

Garnett MJ, McDermott U.

Drug Discov Today. 2012 Mar;17(5-6):188-93. doi: 10.1016/j.drudis.2012.01.025. Epub 2012 Feb 8.

20.

Molecular profiling of breast cancer: transcriptomic studies and beyond.

Culhane AC, Howlin J.

Cell Mol Life Sci. 2007 Dec;64(24):3185-200. Review.

PMID:
17957338
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