Abstract
329 Background: Clinical implementation of genome sequencing is recently prevailing in the treatment for cancer. We have launched an in-house clinical sequencing system to perform exhaustive targeted exome sequencing for patients with all types of cancer, as an outpatient service. We have analyzed the clinical utility of this system for patients with gastrointestinal cancer to elucidate real world evidence. Methods: Genomic DNA was extracted from tumor tissues and peripheral blood sera of 86 patients with different types of gastrointestinal cancer, from April 2016 to April 2017. The top five types of primary cancer were colorectal (34%), pancreas (28%), stomach (13%), biliary tract (12%), and esophagus (8%). We performed a targeted amplicon exome sequencing for 160 cancer-related genes. The sequencing data was analyzed using an original bioinformatics pipeline within three days, and we identified cancer-specific somatic gene alterations such as SNV (Single Nucleotide Variation), Ins (Insertion)/Del (Deletion), and CNV (Copy Number Variation). The primary endpoints were the detection rates of potential actionable and druggable genes. The secondary endpoints were the detection rates of incidental germline variants and the period from initial visit to elucidation of the results to the patients. Results: Actionable and druggable gene alterations were detected in 97% (83/86) and 65% (56/86) of the subjects, respectively. Actionable gene alterations were frequently detected in TP53 (64/86), KRAS (38/86), APC (25/86), ARID1A (11/86), and FBXW7 (10/86). Druggable gene alterations were detected in ARID1A (11/86), and FBXW7 (10/86), BRAF (7/86), BRCA1/2 (6/86), and EGFR (4/86). Incidental germline variants were detected only in 6% (5/86) of all the patients. The median period of examination was 30 days (10-78 days). Seven out of the 86 patients (8%) were treated with therapeutic agents, based on the results of our clinical sequencing. Conclusions: Our clinical sequencing system provided a large number of cancer patients with clinically valuable genomic information available in selecting anticancer drugs within about a month.
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