The Molecular Analysis for Therapy Choice (NCI-MATCH) Trial: Lessons for Genomic Trial Design. (10th January 2020)
- Record Type:
- Journal Article
- Title:
- The Molecular Analysis for Therapy Choice (NCI-MATCH) Trial: Lessons for Genomic Trial Design. (10th January 2020)
- Main Title:
- The Molecular Analysis for Therapy Choice (NCI-MATCH) Trial: Lessons for Genomic Trial Design
- Authors:
- Flaherty, Keith T
Gray, Robert
Chen, Alice
Li, Shuli
Patton, David
Hamilton, Stanley R
Williams, Paul M
Mitchell, Edith P
Iafrate, A John
Sklar, Jeffrey
Harris, Lyndsay N
McShane, Lisa M
Rubinstein, Larry V
Sims, David J
Routbort, Mark
Coffey, Brent
Fu, Tony
Zwiebel, James A
Little, Richard F
Marinucci, Donna
Catalano, Robert
Magnan, Rick
Kibbe, Warren
Weil, Carol
Tricoli, James V
Alexander, Brian
Kumar, Shaji
Schwartz, Gary K
Meric-Bernstam, Funda
Lih, Chih-Jian
McCaskill-Stevens, Worta
Caimi, Paolo
Takebe, Naoko
Datta, Vivekananda
Arteaga, Carlos L
Abrams, Jeffrey S
Comis, Robert
O'Dwyer, Peter J
Conley, Barbara A
… (more) - Abstract:
- Abstract: Background: The proportion of tumors of various histologies that may respond to drugs targeted to molecular alterations is unknown. NCI-MATCH, a collaboration between ECOG-ACRIN Cancer Research Group and the National Cancer Institute, was initiated to find efficacy signals by matching patients with refractory malignancies to treatment targeted to potential tumor molecular drivers regardless of cancer histology. Methods: Trial development required assumptions about molecular target prevalence, accrual rates, treatment eligibility, and enrollment rates as well as consideration of logistical requirements. Central tumor profiling was performed with an investigational next-generation DNA–targeted sequencing assay of alterations in 143 genes, and protein expression of protein expression of phosphatase and tensin homolog, mutL homolog 1, mutS homolog 2, and RB transcriptional corepressor 1. Treatments were allocated with a validated computational platform (MATCHBOX). A preplanned interim analysis evaluated assumptions and feasibility in this novel trial. Results: At interim analysis, accrual was robust, tumor biopsies were safe (<1% severe events), and profiling success was 87.3%. Actionable molecular alteration frequency met expectations, but assignment and enrollment lagged due to histology exclusions and mismatch of resources to demand. To address this lag, we revised estimates of mutation frequencies, increased screening sample size, added treatments, and improvedAbstract: Background: The proportion of tumors of various histologies that may respond to drugs targeted to molecular alterations is unknown. NCI-MATCH, a collaboration between ECOG-ACRIN Cancer Research Group and the National Cancer Institute, was initiated to find efficacy signals by matching patients with refractory malignancies to treatment targeted to potential tumor molecular drivers regardless of cancer histology. Methods: Trial development required assumptions about molecular target prevalence, accrual rates, treatment eligibility, and enrollment rates as well as consideration of logistical requirements. Central tumor profiling was performed with an investigational next-generation DNA–targeted sequencing assay of alterations in 143 genes, and protein expression of protein expression of phosphatase and tensin homolog, mutL homolog 1, mutS homolog 2, and RB transcriptional corepressor 1. Treatments were allocated with a validated computational platform (MATCHBOX). A preplanned interim analysis evaluated assumptions and feasibility in this novel trial. Results: At interim analysis, accrual was robust, tumor biopsies were safe (<1% severe events), and profiling success was 87.3%. Actionable molecular alteration frequency met expectations, but assignment and enrollment lagged due to histology exclusions and mismatch of resources to demand. To address this lag, we revised estimates of mutation frequencies, increased screening sample size, added treatments, and improved assay throughput and efficiency (93.9% completion and 14-day turnaround). Conclusions: The experiences in the design and implementation of the NCI-MATCH trial suggest that profiling from fresh tumor biopsies and assigning treatment can be performed efficiently in a large national network trial. The success of such trials necessitates a broad screening approach and many treatment options easily accessible to patients. … (more)
- Is Part Of:
- Journal of the National Cancer Institute. Volume 112:Number 10(2020)
- Journal:
- Journal of the National Cancer Institute
- Issue:
- Volume 112:Number 10(2020)
- Issue Display:
- Volume 112, Issue 10 (2020)
- Year:
- 2020
- Volume:
- 112
- Issue:
- 10
- Issue Sort Value:
- 2020-0112-0010-0000
- Page Start:
- 1021
- Page End:
- 1029
- Publication Date:
- 2020-01-10
- Subjects:
- Cancer -- Periodicals
Cancer -- Research -- Periodicals
616.994 - Journal URLs:
- https://jnci.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/jnci/djz245 ↗
- Languages:
- English
- ISSNs:
- 0027-8874
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4830.000000
British Library DSC - BLDSS-3PM
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