Defining the Comprehensive Genomic Landscapes of Pancreatic Ductal Adenocarcinoma Using Real-World Endoscopic Aspiration Samples

利用真实世界的内镜抽吸样本定义胰腺导管腺癌的全面基因组图谱

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作者:Alexander Semaan # ,Vincent Bernard # ,Jaewon J Lee # ,Justin W Wong ,Jonathan Huang ,Daniel B Swartzlander ,Bret M Stephens ,Maria E Monberg ,Brian R Weston ,Manoop S Bhutani ,Kyle Chang ,Paul A Scheet ,Anirban Maitra ,Yasminka A Jakubek ,Paola A Guerrero

Abstract

Purpose: Most patients with pancreatic ductal adenocarcinoma (PDAC) present with surgically unresectable cancer. As a result, endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) is the most common biospecimen source available for diagnosis in treatment-naïve patients. Unfortunately, these limited samples are often not considered adequate for genomic analysis, precluding the opportunity for enrollment on precision medicine trials. Experimental design: Applying an epithelial cell adhesion molecule (EpCAM)-enrichment strategy, we show the feasibility of using real-world EUS-FNA for in-depth, molecular-barcoded, whole-exome sequencing (WES) and somatic copy-number alteration (SCNA) analysis in 23 patients with PDAC. Results: Potentially actionable mutations were identified in >20% of patients. Further, an increased mutational burden and higher aneuploidy in WES data were associated with an adverse prognosis. To identify predictive biomarkers for first-line chemotherapy, we developed an SCNA-based complexity score that was associated with response to platinum-based regimens in this cohort. Conclusions: Collectively, these results emphasize the feasibility of real-world cytology samples for in-depth genomic characterization of PDAC and show the prognostic potential of SCNA for PDAC diagnosis.

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