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dc.contributor.authorKitange, Gaspar J.
dc.contributor.authorGupta, Shiv K.
dc.contributor.authorSarkaria, Jann N.
dc.contributor.authorNagel, Zachary D.
dc.contributor.authorJoughin, Brian Alan
dc.contributor.authorChaim, Isaac Alexander
dc.contributor.authorMazzucato, Patrizia
dc.contributor.authorLauffenburger, Douglas A
dc.contributor.authorSamson, Leona D
dc.date.accessioned2016-11-03T15:03:23Z
dc.date.available2016-11-03T15:03:23Z
dc.date.issued2016-10
dc.date.submitted2016-09
dc.identifier.issn0008-5472
dc.identifier.issn1538-7445
dc.identifier.urihttp://hdl.handle.net/1721.1/105169
dc.description.abstractCancer cells can resist the effects of DNA-damaging therapeutic agents via utilization of DNA repair pathways, suggesting that DNA repair capacity (DRC) measurements in cancer cells could be used to identify patients most likely to respond to treatment. However, the limitations of available technologies have so far precluded adoption of this approach in the clinic. We recently developed fluorescence-based multiplexed host cell reactivation (FM-HCR) assays to measure DRC in multiple pathways. Here we apply a mathematical model that uses DRC in multiple pathways to predict cellular resistance to killing by DNA-damaging agents. This model, developed using FM-HCR and drug sensitivity measurements in 24 human lymphoblastoid cell lines, was applied to a panel of 12 patient-derived xenograft (PDX) models of glioblastoma (GBM) to predict GBM response to treatment with the chemotherapeutic DNA damaging agent temozolomide (TMZ). This work showed that, in addition to changes in O6-methylguanine DNA methyltransferase (MGMT) activity, small changes in mismatch repair (MMR), nucleotide excision repair (NER), and homologous recombination (HR) capacity contributed to acquired TMZ resistance in PDX models, and lead to reduced relative survival prolongation following TMZ treatment of orthotopic mouse models in vivo. Our data indicate that measuring the combined status of MMR, HR, NER, and MGMT provided a more robust prediction of TMZ resistance than assessments of MGMT activity alone.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (DP1-ES022576)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (U54-CA112967)en_US
dc.language.isoen_US
dc.publisherAmerican Association for Cancer Research (AACR)en_US
dc.relation.isversionofhttp://dx.doi.org.ezproxy.canberra.edu.au/10.1158/0008-5472.CAN-16-1151en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceJoughinen_US
dc.titleDNA repair capacity in multiple pathways predicts chemoresistance in glioblastoma multiformeen_US
dc.typeArticleen_US
dc.identifier.citationNagel, Zachary D., Gaspar J. Kitange, Shiv K. Gupta, Brian A. Joughin, Isaac A. Chaim, Patrizia Mazzucato, Douglas A. Lauffenburger, Jann N. Sarkaria, and Leona D. Samson. “DNA Repair Capacity in Multiple Pathways Predicts Chemoresistance in Glioblastoma Multiforme.” Cancer Research (October 28, 2016).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.contributor.approverSamson, Leona Den_US
dc.contributor.mitauthorNagel, Zachary D.
dc.contributor.mitauthorJoughin, Brian Alan
dc.contributor.mitauthorChaim, Isaac Alexander
dc.contributor.mitauthorMazzucato, Patrizia
dc.contributor.mitauthorLauffenburger, Douglas A
dc.contributor.mitauthorSamson, Leona D
dc.relation.journalCancer Researchen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsNagel, Zachary D.; Kitange, Gaspar J.; Gupta, Shiv K.; Joughin, Brian A.; Chaim, Isaac A.; Mazzucato, Patrizia; Lauffenburger, Douglas A.; Sarkaria, Jann N.; Samson, Leona D.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-1787-046X
dc.identifier.orcidhttps://orcid.org/0000-0002-7112-1454
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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