File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Molecular signatures of in vitro drug response in lung cancer

TitleMolecular signatures of in vitro drug response in lung cancer
Authors
KeywordsMedical sciences
Oncology
Issue Date2013
PublisherAmerican Association for Cancer Research. The Journal's web site is located at http://cancerres.aacrjournals.org/
Citation
The 104th Annual Meeting of the American Association for Cancer Research (AACR 2013), Washington DC., 6-10 April 2013. In Cancer Research, 2013, v. 73 n. 8, suppl. 1, abstract no. 5589 How to Cite?
AbstractWe are developing in vitro drug response signatures based on profiling of mRNA (Illumina WG6-V3 arrays), DNA mutation (COSMIC and deep sequencing), DNA copy number (Illumina Human1M-Duov3 SNP array) and DNA methylation (Illumina HumanMethylation450) from lung cancer cell lines to predict which drugs a patient's tumor is most likely to respond to. We have generated drug response phenotypes (MTS colorimetric assays) for 25 standard, targeted, and new chemotherapy agents and combinations for 100 ...
DescriptionPoster Presentations - Molecular Classification of Tumors and Novel Biomarkers: abstract no. 5589
This journal suppl. entitled : Proceedings: AACR 104th Annual Meeting 2013 ...
Persistent Identifierhttp://hdl.handle.net/10722/204278
ISSN
2015 Impact Factor: 8.556
2015 SCImago Journal Rankings: 5.372
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorGirard, Len_US
dc.contributor.authorPeyton, Men_US
dc.contributor.authorWistuba, Ien_US
dc.contributor.authorXie, Yen_US
dc.contributor.authorGreer, Ren_US
dc.contributor.authorSuraoka, MBen_US
dc.contributor.authorBehrens, Cen_US
dc.contributor.authorXiao, Gen_US
dc.contributor.authorHeymach, Jen_US
dc.contributor.authorWheeler, DAen_US
dc.contributor.authorDavis, CFen_US
dc.contributor.authorHuffman, Ken_US
dc.contributor.authorShames, DSen_US
dc.contributor.authorCoombes, KRen_US
dc.contributor.authorGazdar, AFen_US
dc.contributor.authorLam, DCLen_US
dc.contributor.authorBeer, DGen_US
dc.contributor.authorMinna, JDen_US
dc.date.accessioned2014-09-19T21:43:14Z-
dc.date.available2014-09-19T21:43:14Z-
dc.date.issued2013en_US
dc.identifier.citationThe 104th Annual Meeting of the American Association for Cancer Research (AACR 2013), Washington DC., 6-10 April 2013. In Cancer Research, 2013, v. 73 n. 8, suppl. 1, abstract no. 5589en_US
dc.identifier.issn0008-5472-
dc.identifier.urihttp://hdl.handle.net/10722/204278-
dc.descriptionPoster Presentations - Molecular Classification of Tumors and Novel Biomarkers: abstract no. 5589-
dc.descriptionThis journal suppl. entitled : Proceedings: AACR 104th Annual Meeting 2013 ...-
dc.description.abstractWe are developing in vitro drug response signatures based on profiling of mRNA (Illumina WG6-V3 arrays), DNA mutation (COSMIC and deep sequencing), DNA copy number (Illumina Human1M-Duov3 SNP array) and DNA methylation (Illumina HumanMethylation450) from lung cancer cell lines to predict which drugs a patient's tumor is most likely to respond to. We have generated drug response phenotypes (MTS colorimetric assays) for 25 standard, targeted, and new chemotherapy agents and combinations for 100 ...-
dc.languageengen_US
dc.publisherAmerican Association for Cancer Research. The Journal's web site is located at http://cancerres.aacrjournals.org/-
dc.relation.ispartofCancer Researchen_US
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectMedical sciences-
dc.subjectOncology-
dc.titleMolecular signatures of in vitro drug response in lung canceren_US
dc.typeConference_Paperen_US
dc.identifier.emailLam, DCL: dcllam@hku.hken_US
dc.identifier.authorityLam, DCL=rp01345en_US
dc.description.naturepostprint-
dc.identifier.doi10.1158/1538-7445.AM2013-5589-
dc.identifier.hkuros237762en_US
dc.identifier.volume73-
dc.identifier.issue8, suppl. 1-
dc.identifier.isiWOS:000331220606067-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 141020-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats