Prospective prediction of clinical drug response in high-grade gliomas using an ex vivo 3D cell culture assay. Issue 1 (7th May 2021)
- Record Type:
- Journal Article
- Title:
- Prospective prediction of clinical drug response in high-grade gliomas using an ex vivo 3D cell culture assay. Issue 1 (7th May 2021)
- Main Title:
- Prospective prediction of clinical drug response in high-grade gliomas using an ex vivo 3D cell culture assay
- Authors:
- Shuford, Stephen
Lipinski, Lindsay
Abad, Ajay
Smith, Ashley M
Rayner, Melissa
O'Donnell, Lauren
Stuart, Jeremy
Mechtler, Laszlo L
Fabiano, Andrew J
Edenfield, Jeff
Kanos, Charles
Gardner, Stephen
Hodge, Philip
Lynn, Michael
Butowski, Nicholas A
Han, Seunggu J
Redjal, Navid
Crosswell, Howland E
Vibat, Cecile Rose T
Holmes, Lillia
Gevaert, Matthew
Fenstermaker, Robert A
DesRochers, Teresa M - Abstract:
- Abstract: Background: Clinical outcomes in high-grade glioma (HGG) have remained relatively unchanged over the last 3 decades with only modest increases in overall survival. Despite the validation of biomarkers to classify treatment response, most newly diagnosed (ND) patients receive the same treatment regimen. This study aimed to determine whether a prospective functional assay that provides a direct, live tumor cell-based drug response prediction specific for each patient could accurately predict clinical drug response prior to treatment. Methods: A modified 3D cell culture assay was validated to establish baseline parameters including drug concentrations, timing, and reproducibility. Live tumor tissue from HGG patients were tested in the assay to establish response parameters. Clinical correlation was determined between prospective ex vivo response and clinical response in ND HGG patients enrolled in 3D-PREDICT (ClinicalTrials.gov Identifier: NCT03561207). Clinical case studies were examined for relapsed HGG patients enrolled on 3D-PREDICT, prospectively assayed for ex vivo drug response, and monitored for follow-up. Results: Absent biomarker stratification, the test accurately predicted clinical response/nonresponse to temozolomide in 17/20 (85%, P = .007) ND patients within 7 days of their surgery, prior to treatment initiation. Test-predicted responders had a median overall survival post-surgery of 11.6 months compared to 5.9 months for test-predicted nonresponders (Abstract: Background: Clinical outcomes in high-grade glioma (HGG) have remained relatively unchanged over the last 3 decades with only modest increases in overall survival. Despite the validation of biomarkers to classify treatment response, most newly diagnosed (ND) patients receive the same treatment regimen. This study aimed to determine whether a prospective functional assay that provides a direct, live tumor cell-based drug response prediction specific for each patient could accurately predict clinical drug response prior to treatment. Methods: A modified 3D cell culture assay was validated to establish baseline parameters including drug concentrations, timing, and reproducibility. Live tumor tissue from HGG patients were tested in the assay to establish response parameters. Clinical correlation was determined between prospective ex vivo response and clinical response in ND HGG patients enrolled in 3D-PREDICT (ClinicalTrials.gov Identifier: NCT03561207). Clinical case studies were examined for relapsed HGG patients enrolled on 3D-PREDICT, prospectively assayed for ex vivo drug response, and monitored for follow-up. Results: Absent biomarker stratification, the test accurately predicted clinical response/nonresponse to temozolomide in 17/20 (85%, P = .007) ND patients within 7 days of their surgery, prior to treatment initiation. Test-predicted responders had a median overall survival post-surgery of 11.6 months compared to 5.9 months for test-predicted nonresponders ( P = .0376). Case studies provided examples of the clinical utility of the assay predictions and their impact upon treatment decisions resulting in positive clinical outcomes. Conclusion: This study both validates the developed assay analytically and clinically and provides case studies of its implementation in clinical practice. … (more)
- Is Part Of:
- Neuro-oncology advances. Volume 3:Issue 1(2021)
- Journal:
- Neuro-oncology advances
- Issue:
- Volume 3:Issue 1(2021)
- Issue Display:
- Volume 3, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 3
- Issue:
- 1
- Issue Sort Value:
- 2021-0003-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-05-07
- Subjects:
- drug response prediction -- 3D culture -- ex vivo -- glioblastoma -- glioma
616.99481 - Journal URLs:
- https://academic.oup.com/noa ↗
http://www.oxfordjournals.org/ ↗ - DOI:
- 10.1093/noajnl/vdab065 ↗
- Languages:
- English
- ISSNs:
- 2632-2498
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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- 25195.xml