For all nine patients, WGS was used to compare their germline DNA from white blood cells (the DNA an individual is born with) to the DNA from their tumor cells. For six of these patients, researchers also used WTS to sequence their total RNA isolated from the tumor, and compare that to total RNA from non-patient controls.
"Based on our findings, we found it was feasible to perform these advanced NGS technologies for patients in a clinical trial situation," said Dr. Daniel Von Hoff, TGen Distinguished Professor and Physician In Chief; Chief Scientific Officer for the Virginia G. Piper Cancer Center Clinical Trials; and one of the senior authors of the study.
In addition to identifying as many genomic changes as possible, a secondary objective of this pilot study was to develop a workflow process from tumor biopsy to treatment.
"This process must occur in a short enough timeframe in order for patient to benefit from this additional information in developing a treatment plan," the study said.
Some of the challenges include: NGS reporting delays, communication of results to out-of-state participants and their treating oncologists, and chain of custody handling from fresh biopsy samples for CLIA (Clinical Laboratory Improvement Amendments) target validation.
The study also showed that WGS and WTS both have advantages, and that newer technological strategies may capture the best of both.
"With improved efficiencies that decrease the time to get NGS results and at reasonable costs, we can envision how NGS might be applied more globally to advanced cancer patients," said Dr. John Carpten, TGen Deputy Director and also a senior author of the study. "Even during the relatively short time that this study was enrolling,
|Contact: Steve Yozwiak|
The Translational Genomics Research Institute