A process to reanalyze clinical DNA sequencing data for biomarker matching in the Lung-MAP Master Protocol

Author:

Neal Joel W1,Minichiello Katherine23,Brennick Ryan4ORCID,Huang Richard S P5ORCID,Hiemenz Matthew C6ORCID,Amler Cornel4,Patel Jyoti7,Herbst Roy8ORCID,Reckamp Karen L9ORCID,Borghaei Hossein10ORCID,Highleyman Louise2,Redman Mary W211ORCID,Pasquina Lincoln W5ORCID,Kozono David E12ORCID

Affiliation:

1. Department of Medicine, Stanford Cancer Institute, Division of Oncology, Stanford University, Palo Alto , CA , United States

2. SWOG Statistics and Data Management Center , Seattle, WA , United States

3. Public Health Sciences Division, Fred Hutchinson Cancer Center , Seattle, WA , United States

4. Clinical Operations, Foundation Medicine, Inc. , Cambridge, MA , United States

5. Clinical Development, Foundation Medicine, Inc. , Cambridge, MA , United State

6. Pathology, Foundation Medicine, Inc. , Cambridge, MA , United States

7. Northwestern University-Feinberg School of Medicine , Chicago, IL , United States

8. Yale Comprehensive Cancer Center , New Haven, CT , United States

9. Department of Medicine, Cedars-Sinai Medical Center , Los Angeles, CA , United States

10. Department of Hematology/Oncology, Fox Chase Cancer Center , Philadelphia, PA , United States

11. Clinical Research Division, Fred Hutchison Cancer Center Seattle WA , United States

12. Department of Radiation Oncology, Dana-Farber Cancer Institute , Boston, MA , United States

Abstract

Abstract For cancer clinical trials that require central confirmation of tumor genomic profiling, exhaustion of tissue from standard-of-care testing may prevent enrollment. For Lung-MAP, a master protocol that requires results from a defined centralized clinical trial assay to assign patients to a therapeutic substudy, we developed a process to repurpose existing commercial vendor raw genomic data for eligibility: genomic data reanalysis (GDR). Molecular results for substudy assignment were successfully generated for 369 of the first 374 patients (98.7%) using GDR for Lung-MAP, with a median time from request to result of 9 days. During the same period, 691 of 791 (87.4%) tissue samples received successfully yielded results, in a median of 14 days beyond sample acquisition. GDR is a scalable bioinformatic pipeline that expedites reanalysis of existing data for clinical trials in which validated integral biomarker testing is required for participation.

Publisher

Oxford University Press (OUP)

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