DNA repair capacity in multiple pathways predicts chemoresistance in glioblastoma multiforme
Name
znagel_cancerres_preprint.pdf
Size
640.76 KB
Format
Adobe PDF
Checksum (MD5)
4be7471dcce0ede7517b83744814b0a7
Author(s)
Kitange, Gaspar J.
Gupta, Shiv K.
Sarkaria, Jann N.
Nagel, Zachary D.
Joughin, Brian Alan
Chaim, Isaac Alexander
Mazzucato, Patrizia
Lauffenburger, Douglas A
Samson, Leona D
Date Issued
October 2016
Journal
Cancer Research
Publisher
American Association for Cancer Research (AACR)
Citation
Nagel, 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).
Version
Author's final manuscript
Abstract
Cancer 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.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Koch Institute for Integrative Cancer Research at MIT
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
http://dx.doi.org/10.1158/0008-5472.CAN-16-1151
