Abstract

316 Background: PDAC needs validated diagnostic biomarkers for early detection and predictive markers for outcome. As 95% of PDACs harbor KRAS mutations (mKRAS), circulating tumor DNA (ctDNA) has potential utility in PDAC. We assessed the ability to detect and correlate mKRAS in a metastatic PDAC cohort from Memorial Sloan Kettering Cancer Center. Methods: 10 mL of whole blood was collected. cfDNA was extracted with QIAmp or QIAsymphony DNA extraction kits (Qiagen, Valencia, CA). Directed (KRAS G12D, G12R, G12V, Q61H) or multiplex (G12A, G12C, G12D, G12R, G12S, G12V, G13D) digital droplet PCR (ddPCR) was performed with Raindrop Plus (Raindance Technologies, Billerica, MA) or QX200 (BioRad, Hercules, CA) ddPCR systems. Number and size of liver, lung and lymph node metastases, peritoneal disease (mild, moderate, severe), ascites (trace, small, large) and bone mets (Y/N) were assessed by CT scan. Results: See table. 21 (55%) had detectable ctDNA (ctDNA(+)) with mean mutant allele fraction of 4.5% (0.015-36.8). ctDNA (+) vs (-) PFS and OS from collection were 6.9 and 8.4 months vs. 9.9 and 10.5 (p=0.89 for both). CA19-9, PFS and OS did not correlate with ctDNA tertile (p=0.15, 0.54 & 0.50). On treatment and disease activity were not associated with ctDNA status (p= 0.20 & 0.60). Number and size of liver mets were associated with ctDNA (+) (p=0.006 & 0.007). Conclusions: ctDNA KRAS detection was measurable in metastatic disease with rates consistent with other PDAC reports. Median PFS, OS were lower in ctDNA (+) group but not statistically significant in this diverse cohort. Number and size of liver metastases were significantly higher in ctDNA (+). Future study should focus on practice changing applications with standardized collection, intra-patient comparisons and role of liver disease burden. We have initiated studies to evaluate plasma KRAS prior to and during treatment to address its value as a predictive assay and explore factors affecting ctDNA detection. [Table: see text]

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