Circulating Tumor DNA Sequencing Analysis of Gastroesophageal Adenocarcinoma

Steven B. Maron(Memorial Sloan Kettering Cancer Center), Leah M. Chase(University of Chicago Medical Center), Samantha Lomnicki(University of Chicago Medical Center), Sara Kochanny(University of Chicago Medical Center), Kelly L. Moore(University of Chicago Medical Center), Smita S. Joshi(University of Chicago Medical Center), Stacie Landron(University of Chicago Medical Center), Julie Johnson(University of Chicago Medical Center), Lesli A. Kiedrowski(Samsung Medical Center), Rebecca J. Nagy(Samsung Medical Center), Richard B. Lanman(Samsung Medical Center), Seung Tae Kim(Samsung Medical Center), Jeeyun Lee(Samsung Medical Center), Daniel V.T. Catenacci(University of Chicago Medical Center)
Clinical Cancer Research
August 19, 2019
Cited by 226Open Access
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Abstract

Abstract Purpose: Gastroesophageal adenocarcinoma (GEA) has a poor prognosis and few therapeutic options. Utilizing a 73-gene plasma-based next-generation sequencing (NGS) cell-free circulating tumor DNA (ctDNA-NGS) test, we sought to evaluate the role of ctDNA-NGS in guiding clinical decision-making in GEA. Experimental Design: We evaluated a large cohort (n = 2,140 tests; 1,630 patients) of ctDNA-NGS results (including 369 clinically annotated patients). Patients were assessed for genomic alteration (GA) distribution and correlation with clinicopathologic characteristics and outcomes. Results: Treatment history, tumor site, and disease burden dictated tumor-DNA shedding and consequent ctDNA-NGS maximum somatic variant allele frequency. Patients with locally advanced disease having detectable ctDNA postoperatively experienced inferior median disease-free survival (P = 0.03). The genomic landscape was similar but not identical to tissue-NGS, reflecting temporospatial molecular heterogeneity, with some targetable GAs identified at higher frequency via ctDNA-NGS compared with previous primary tumor-NGS cohorts. Patients with known microsatellite instability-high (MSI-High) tumors were robustly detected with ctDNA-NGS. Predictive biomarker assessment was optimized by incorporating tissue-NGS and ctDNA-NGS assessment in a complementary manner. HER2 inhibition demonstrated a profound survival benefit in HER2-amplified patients by ctDNA-NGS and/or tissue-NGS (median overall survival, 26.3 vs. 7.4 months; P = 0.002), as did EGFR inhibition in EGFR-amplified patients (median overall survival, 21.1 vs. 14.4 months; P = 0.01). Conclusions: ctDNA-NGS characterized GEA molecular heterogeneity and rendered important prognostic and predictive information, complementary to tissue-NGS. See related commentary by Frankell and Smyth, p. 6893


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