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• W2322661886 abstract "Objective: To determine the feasibility of genotyping pancreatic tumors via fine needle aspirates (FNAs). Background: FNA is a common method of diagnosis for pancreatic cancer, yet it has traditionally been considered inadequate for molecular studies due to the limited quantity of DNA derived from FNA specimens and tumor heterogeneity. Methods: In vitro mixing studies were performed to deduce the minimum cellularity needed for genetic analysis. DNA from both simulated FNAs and clinical FNAs was sequenced. Mutational concordance was determined between simulated FNAs and that of the resected specimen. Results: Limiting dilution studies indicated that mutations present at allele frequencies as low as 0.12% are detectable. Comparison of simulated FNAs and matched tumor tissue exhibited a concordance frequency of 100% for all driver genes present. In FNAs obtained from 17 patients with unresectable disease, we identified at least 1 driver gene mutation in all patients including actionable somatic mutations in ATM and MTOR. The constellation of mutations identified in these patients was different than that reported for resectable pancreatic cancers, implying a biologic basis for presentation with locally advanced pancreatic cancer. Conclusions: FNA sequencing is feasible and subsets of patients may harbor actionable mutations that could potentially impact therapy. Moreover, preoperative FNA sequencing has the potential to influence the timing of surgery relative to systemic therapy. FNA sequencing opens the door to clinical trials in which patients undergo neoadjuvant or a surgery-first approach based on their tumor genetics with the goal of utilizing cancer genomics in the clinical management of pancreatic cancer." @default.
• W2322661886 created "2016-06-24" @default.
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• W2322661886 date "2016-01-01" @default.
• W2322661886 modified "2023-10-11" @default.
• W2322661886 title "Reliable Detection of Somatic Mutations in Fine Needle Aspirates of Pancreatic Cancer With Next-generation Sequencing" @default.
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• W2322661886 doi "https://doi.org/10.1097/sla.0000000000001156" @default.
• W2322661886 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4662640" @default.
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• W2322661886 hasPublicationYear "2016" @default.
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