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Items: 1 to 20 of 106

1.

Systematically characterizing and prioritizing chemosensitivity related gene based on Gene Ontology and protein interaction network.

Chen X, Jiang W, Wang Q, Huang T, Wang P, Li Y, Chen X, Lv Y, Li X.

BMC Med Genomics. 2012 Oct 2;5:43. doi: 10.1186/1755-8794-5-43.

2.

Network-based inference framework for identifying cancer genes from gene expression data.

Yang B, Zhang J, Yin Y, Zhang Y.

Biomed Res Int. 2013;2013:401649. doi: 10.1155/2013/401649. Epub 2013 Sep 1.

3.

Prediction of drug efficacy for cancer treatment based on comparative analysis of chemosensitivity and gene expression data.

Wan P, Li Q, Larsen JE, Eklund AC, Parlesak A, Rigina O, Nielsen SJ, Björkling F, Jónsdóttir SÓ.

Bioorg Med Chem. 2012 Jan 1;20(1):167-76. doi: 10.1016/j.bmc.2011.11.019. Epub 2011 Nov 22.

PMID:
22154557
4.

Resistance gene expression determines the in vitro chemosensitivity of non-small cell lung cancer (NSCLC).

Glaysher S, Yiannakis D, Gabriel FG, Johnson P, Polak ME, Knight LA, Goldthorpe Z, Peregrin K, Gyi M, Modi P, Rahamim J, Smith ME, Amer K, Addis B, Poole M, Narayanan A, Gulliford TJ, Andreotti PE, Cree IA.

BMC Cancer. 2009 Aug 27;9:300. doi: 10.1186/1471-2407-9-300.

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.

In-silico drug screening and potential target identification for hepatocellular carcinoma using Support Vector Machines based on drug screening result.

Yang WL, Lee YE, Chen MH, Chao KM, Huang CY.

Gene. 2013 Apr 10;518(1):201-8. doi: 10.1016/j.gene.2012.11.030. Epub 2012 Dec 6.

PMID:
23220021
7.

Distinct genes related to drug response identified in ER positive and ER negative breast cancer cell lines.

Shen K, Rice SD, Gingrich DA, Wang D, Mi Z, Tian C, Ding Z, Brower SL, Ervin PR Jr, Gabrin MJ, Tseng G, Song N.

PLoS One. 2012;7(7):e40900. doi: 10.1371/journal.pone.0040900. Epub 2012 Jul 16.

8.

Identification of lung-cancer-related genes with the shortest path approach in a protein-protein interaction network.

Li BQ, You J, Chen L, Zhang J, Zhang N, Li HP, Huang T, Kong XY, Cai YD.

Biomed Res Int. 2013;2013:267375. doi: 10.1155/2013/267375. Epub 2013 May 22.

9.

Predicting cancer drug response by proteomic profiling.

Ma Y, Ding Z, Qian Y, Shi X, Castranova V, Harner EJ, Guo L.

Clin Cancer Res. 2006 Aug 1;12(15):4583-9.

10.

Relevance network between chemosensitivity and transcriptome in human hepatoma cells.

Moriyama M, Hoshida Y, Otsuka M, Nishimura S, Kato N, Goto T, Taniguchi H, Shiratori Y, Seki N, Omata M.

Mol Cancer Ther. 2003 Feb;2(2):199-205.

11.

Linking the growth inhibition response from the National Cancer Institute's anticancer screen to gene expression levels and other molecular target data.

Wallqvist A, Rabow AA, Shoemaker RH, Sausville EA, Covell DG.

Bioinformatics. 2003 Nov 22;19(17):2212-24.

PMID:
14630650
12.

In vitro pharmacogenomic database and chemosensitivity predictive genes in gastric cancer.

Jung JJ, Jeung HC, Chung HC, Lee JO, Kim TS, Kim YT, Noh SH, Rha SY.

Genomics. 2009 Jan;93(1):52-61. doi: 10.1016/j.ygeno.2008.08.002. Epub 2008 Oct 22.

13.

Gene signatures developed from patient tumor explants grown in nude mice to predict tumor response to 11 cytotoxic drugs.

Fiebig HH, Schüler J, Bausch N, Hofmann M, Metz T, Korrat A.

Cancer Genomics Proteomics. 2007 May-Jun;4(3):197-209.

14.

[Predicting clinical chemo-sensitivity of primary ovarian cancer using adenosine triphosphate-tumor chemosensitivity assay combined with detection of drug resistance genes].

Zhao D, Zhang W, Li XG, Wang XB, Zhang LF, Li M, Li YF, Tian HM, Song PP, Liu J, Chang QY, Wu LY.

Zhonghua Fu Chan Ke Za Zhi. 2011 Mar;46(3):193-8. Chinese.

PMID:
21575453
15.

Integrating protein-protein interaction networks with gene-gene co-expression networks improves gene signatures for classifying breast cancer metastasis.

van den Akker EB, Verbruggen B, Heijmans BT, Beekman M, Kok JN, Slagboom PE, Reinders MJ.

J Integr Bioinform. 2011 Dec 16;8(2):188. doi: 10.2390/biecoll-jib-2011-188.

PMID:
22180387
16.

C²Maps: a network pharmacology database with comprehensive disease-gene-drug connectivity relationships.

Huang H, Wu X, Pandey R, Li J, Zhao G, Ibrahim S, Chen JY.

BMC Genomics. 2012;13 Suppl 6:S17. doi: 10.1186/1471-2164-13-S6-S17. Epub 2012 Oct 26.

17.

Cell line derived multi-gene predictor of pathologic response to neoadjuvant chemotherapy in breast cancer: a validation study on US Oncology 02-103 clinical trial.

Shen K, Qi Y, Song N, Tian C, Rice SD, Gabrin MJ, Brower SL, Symmans WF, O'Shaughnessy JA, Holmes FA, Asmar L, Pusztai L.

BMC Med Genomics. 2012 Nov 16;5:51. doi: 10.1186/1755-8794-5-51.

18.
19.

Prioritizing cancer-related genes with aberrant methylation based on a weighted protein-protein interaction network.

Liu H, Su J, Li J, Liu H, Lv J, Li B, Qiao H, Zhang Y.

BMC Syst Biol. 2011 Oct 11;5:158. doi: 10.1186/1752-0509-5-158.

20.

An integrative approach to inferring biologically meaningful gene modules.

Cho JH, Wang K, Galas DJ.

BMC Syst Biol. 2011 Jul 26;5:117. doi: 10.1186/1752-0509-5-117.

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