Diagnostic and predictive utility of peritoneal tumor DNA in gastroesophageal cancer: A prospective multicenter study.
Abstract
4101 Background: Gastric and gastroesophageal cancers (G/GEC) commonly spread to the peritoneum. Accurate peritoneal staging is critical for guiding intent and therapy, however staging PET, CT and peritoneal cytology have low sensitivity for peritoneal micro-metastases. Whilst circulating tumor DNA (ctDNA) poorly correlates with peritoneal disease, tumor DNA from the peritoneum (ptDNA) may identify early peritoneal metastases missed by conventional staging. We developed a tumor-informed whole-genome sequencing (WGS) platform to detect ptDNA and evaluated its accuracy in diagnosing peritoneal metastases and predicting survival in curative-intent G/GEC. Methods: This Australian multicenter prospective cohort study enrolled patients receiving curative-intent treatment for G/GEC (upfront surgery, perioperative FLOT or neoadjuvant CROSS/nivolumab). Tumor biopsies, blood, and peritoneal lavage fluid were collected at staging laparoscopy, and at surgery for those receiving neoadjuvant therapy. Tumor-informed WGS was used to identify ctDNA and ptDNA, which were correlated with disease free survival (DFS), peritoneal recurrence free survival (pRFS), non-peritoneal recurrence free survival (npRFS), and overall survival (OS) using multivariate Cox regression. The diagnostic utility of ptDNA for peritoneal metastases was evaluated by comparing true-negative patients ( > 2 years disease-free post-surgery alone) with an independently enrolled cohort of true-positive patients (macroscopic/cytology-positive peritoneal disease). Results: ptDNA was detected in 28 (30.4%) of 92 consecutive non-metastatic patients (59 with and 33 without neoadjuvant therapy). ptDNA-positivity significantly correlated with advanced cT and (y)pT stage. At a median follow-up of 17 months, there were 12 (13.0%) peritoneal and 10 (10.9%) non-peritoneal recurrences. ptDNA-positivity independently predicted poorer pRFS (HR 26.74, 95%CI 3.94-181.66), DFS (HR 4.51, 95%CI 1.77-11.47) and OS (HR 6.65, 95%CI 1.72-25.76), but not npRFS (HR 0.87, 95%CI 0.16-4.78). Importantly, 9 (60%) patients converted from ptDNA-positive to ptDNA-negative post-neoadjuvant treatment. Patients who remained ptDNA-positive had significantly worse pRFS (3/6 recurrences, HR 45.4, 95%CI 3.5-595.2) than those who were ptDNA-negative (0/25 recurrences). The diagnostic accuracy of ptDNA was validated in 10 true negative and 12 true positive patients. In this cohort, ptDNA achieved 100% sensitivity, specificity, positive and negative predictive values (95%CI 75.8-100%) for detecting peritoneal metastases. ctDNA data will be presented at the meeting. Conclusions: Tumor-informed WGS-based ptDNA accurately diagnoses peritoneal disease and predicts peritoneal recurrence post curative-intent treatment, informing its potential to personalize clinical management using intraperitoneal therapies.
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (19)
David Liu
Department of Chemistry and Biochemistry, The Ohio State University, 100 W. 18th Avenue, Columbus, Ohio 43210, United States
Yuxuan Wang
Zexi Allan
Jeanne Tie
Division of Personalized Oncology, Walter and Eliza Hall Institute of Medical Research
Margaret Lee
WEHI, Eastern Health, Western Health, Parkville, Australia
Darren Wong
Austin Health, Heidelberg, VIC, Australia
Niall C. Tebbutt
Brendan Desmond
Austin Health, Heidelberg, VIC, Australia
Krinal Mori
Benjamin Keong
Austin Health, Heidelberg, VIC, Australia
Sarah A. Martin
Monash Health, Clayton, VIC, Australia
Geraldine Ooi
David I. Watson
Hillary S. Sloane
Haystack Oncology, Baltimore, MD
Chetan Bettegowda
Nickolas Papadopoulos
Department of Oncology, the Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine
Kenneth W. Kinzler
Department of Oncology, the Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine
Bert Vogelstein
Department of Oncology, the Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine
Nicholas Clemons
Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Australia