DRES-12. QUANTIFYING INDIVIDUALIZED ABT-414 SENSITIVITY AND BLOOD-BRAIN BARRIER PENETRANCE FROM SERIAL IMAGING OF PATIENT-DERIVED XENOGRAFTS MODELS OF GLIOBLASTOMA. (11th November 2019)
- Record Type:
- Journal Article
- Title:
- DRES-12. QUANTIFYING INDIVIDUALIZED ABT-414 SENSITIVITY AND BLOOD-BRAIN BARRIER PENETRANCE FROM SERIAL IMAGING OF PATIENT-DERIVED XENOGRAFTS MODELS OF GLIOBLASTOMA. (11th November 2019)
- Main Title:
- DRES-12. QUANTIFYING INDIVIDUALIZED ABT-414 SENSITIVITY AND BLOOD-BRAIN BARRIER PENETRANCE FROM SERIAL IMAGING OF PATIENT-DERIVED XENOGRAFTS MODELS OF GLIOBLASTOMA
- Authors:
- Urcuyo, Javier
Christine Massey, Susan
Marin, Bianca-Maria
Sarkaria, Jann
Swanson, Kristin - Abstract:
- Abstract: INTRODUCTION: Glioblastoma (GBM) is an aggressive primary brain tumor, known for its poor prognosis. Due to its diffuse invasiveness into normal-appearing brain, localized treatments such as surgical resection and radiotherapy are typically supplemented with chemotherapy. However, to reach invading tumor cells, such antineoplastic drugs must cross the blood-brain barrier (BBB). That is, while angiogenesis induces BBB breakdown in dense tumor regions, the BBB remains rather intact for invading GBM cells. As a result, it is unclear whether BBB-impermeable drugs are delivered at a sufficient level to be effective. METHODS: In order to study heterogeneity in BBB breakdown, experiments were conducted using both flank and intracranial patient-derived xenografts (PDXs) treated with the EGFR-targeted monoclonal antibody drug conjugate, depatuxizumab mafodotin (ABT-414). Time-series bioluminescence imaging (BLI) data was used to develop a differential equation model of tumor growth for three PDX cell lines. Data from untreated PDXs, both in flank and intracranially, were used to parameterize tumor proliferation rates. Flank PDX data were used to parameterize individual sensitivity to ABT-414, whereas intracranial PDX data were used to determine the proportion of drug exposed to the tumor. RESULTS: Each PDX line differed in response to the study drug ABT-414. As expected, such heterogeneous responses can primarily be attributed to differences in both drug sensitivity and theAbstract: INTRODUCTION: Glioblastoma (GBM) is an aggressive primary brain tumor, known for its poor prognosis. Due to its diffuse invasiveness into normal-appearing brain, localized treatments such as surgical resection and radiotherapy are typically supplemented with chemotherapy. However, to reach invading tumor cells, such antineoplastic drugs must cross the blood-brain barrier (BBB). That is, while angiogenesis induces BBB breakdown in dense tumor regions, the BBB remains rather intact for invading GBM cells. As a result, it is unclear whether BBB-impermeable drugs are delivered at a sufficient level to be effective. METHODS: In order to study heterogeneity in BBB breakdown, experiments were conducted using both flank and intracranial patient-derived xenografts (PDXs) treated with the EGFR-targeted monoclonal antibody drug conjugate, depatuxizumab mafodotin (ABT-414). Time-series bioluminescence imaging (BLI) data was used to develop a differential equation model of tumor growth for three PDX cell lines. Data from untreated PDXs, both in flank and intracranially, were used to parameterize tumor proliferation rates. Flank PDX data were used to parameterize individual sensitivity to ABT-414, whereas intracranial PDX data were used to determine the proportion of drug exposed to the tumor. RESULTS: Each PDX line differed in response to the study drug ABT-414. As expected, such heterogeneous responses can primarily be attributed to differences in both drug sensitivity and the proportion of drug that reached the tumor. Notably, the estimated proportion of drug that reached the tumor was highest in the PDX line with the longest survival times, despite also having higher estimates of resistance. This suggests that PDXs with greater overall BBB breakdown may respond better to this agent. CONCLUSIONS: Although more cell lines are needed to validate our approach, parameterizing this model for PDXs gives valuable insight into the extent of BBB breakdown in patient GBMs and may aid in determining optimal therapies for individual patients. … (more)
- Is Part Of:
- Neuro-oncology. Volume 21(2019)Supplement 6
- Journal:
- Neuro-oncology
- Issue:
- Volume 21(2019)Supplement 6
- Issue Display:
- Volume 21, Issue 6 (2019)
- Year:
- 2019
- Volume:
- 21
- Issue:
- 6
- Issue Sort Value:
- 2019-0021-0006-0000
- Page Start:
- vi73
- Page End:
- vi74
- Publication Date:
- 2019-11-11
- Subjects:
- Brain Neoplasms -- Periodicals
Brain -- Tumors -- Periodicals
Brain -- Cancer -- Periodicals
Nervous system -- Cancer -- Periodicals
616.99481 - Journal URLs:
- http://neuro-oncology.dukejournals.org/ ↗
http://neuro-oncology.oxfordjournals.org/ ↗
http://www.oxfordjournals.org/content?genre=journal&issn=1522-8517 ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/neuonc/noz175.299 ↗
- Languages:
- English
- ISSNs:
- 1522-8517
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6081.288000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12975.xml