A process to reanalyze clinical DNA sequencing data for biomarker matching in the Lung-MAP Master Protocol.
Joel W NealKatherine MinichielloRyan C BrennickRichard S P HuangMatthew C HiemenzCornel AmlerJyoti PatelRoy S HerbstKaren L ReckampHossein BorghaeiLouise HighleymanMary W RedmanLincoln W PasquinaDavid E KozonoPublished in: The oncologist (2024)
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.
Keyphrases
- clinical trial
- electronic health record
- end stage renal disease
- ejection fraction
- newly diagnosed
- big data
- randomized controlled trial
- prognostic factors
- copy number
- machine learning
- physical activity
- single cell
- palliative care
- phase ii
- dna methylation
- open label
- squamous cell carcinoma
- data analysis
- cell free
- high density
- phase iii
- papillary thyroid
- pain management
- patient reported