Background: PanNENs represent 1-2% of all pancreatic neoplasms. The genomic landscape derived from PanNEN tumor tissue has been described previously. There are little data detailing the frequency of genetic alterations identified in cfDNA in an advanced PanNEN population, the plasma-tissue concordance of detected alterations, and the clinical utility of cfDNA. Methods: Patients (pts) with metastatic PanNENs underwent collection of cfDNA for NGS using the MSK-IMPACT 505 gene assay between March 2017 and April 2020. Matched tissue based NGS with the FDA authorized MSK-IMPACT gene assay was completed when tumor tissue was available. For some pts, plasma and tumor tissue were sequenced at multiple time points. Clinical actionability of sequence variants was annotated by OncoKB. Clinicopathologic characteristics were extracted, and data are herein reported. Results: 25 unique pts with metastatic PanNENs had 32 plasma samples analyzed. The majority had well differentiated (22/25; 88%), intermediate grade disease (13/25; 52%). 6 (24%) pts had well differentiated high grade disease and 3 (12%) had poorly differentiated neuroendocrine carcinomas. After extraction, median cfDNA yield per sample was 23.98ng (range: 3.2 to 500.1). Mutations were detected in 21(66%) of 32 samples (10 pre systemic therapy, 10 at progression, 12 post response to therapy or while stable on therapy). The most frequently mutated genes occurring in >10% of patients were DAXX (28%), TSC2 (24%), MEN1 (24%), ARID1B (20%), ARID1A (12%) and ATRX (12%). 23 (92%) pts underwent tumor tissue sequencing with MSK-IMPACT with a median time of 6.9 (range: 0.5-33.4) months between tissue collection and time of plasma analysis. NGS of cfDNA identified the most common mutations observed in tumor tissue for: DAXX (5/6; 83%), TSC2 (3/6; 50%), MEN1 (5/12; 42%), ARID1A (3/5; 60%) and ATRX (3/6; 50%). In 21/23 (91%) paired samples, additional mutations not seen in tissue were detected in plasma and included TSC2, TP53, EGFR, VHL, and BRCA2. Potentially actionable mutations were identified in sequenced cfDNA in 8/25 (32%) patients including 4 TSC2 mutations (level 3b), 1 ATM mutation (level 3b), 2 ARID1A mutations (level 4) and 1 KRAS mutation (level 4). One patient who was treated with larotrectinib for an ETV6:NTRK3 fusion detected on tumor sequencing ultimately developed resistance with a NRTK3 G623R alteration identified through sequencing of cfDNA at radiographic disease progression. Conclusions: NGS of cfDNA in metastatic PanNENs, across the spectrum of WHO-defined tumor grade/differentiation, revealed tumor-associated genetic alterations in 66% of plasma samples. Clonal evolution, actionable alterations, and resistance mechanisms can be detected through circulating cfDNA genotyping and may serve as a powerful tool to better understand disease biology of a disease that often changes over time and through therapy.