Prognostic value of ctDNA monitoring in patients with resectable pancreatic ductal adenocarcinoma during surveillance.

E Elishama Kanu (Department of Surgery, Duke University Medical Center, Durham, NC) A Austin M. Eckhoff (Duke University, Durham, NC) A Ash Fletcher (Department of Surgery, Duke University Medical Center, Durham, NC) E Ethan Agritelley (Department of Surgery, Duke University Medical Center, Durham, NC) J Julia Button (Department of Surgery, Duke University Medical Center, Durham, NC) J Jiayin Matthew Bao (Department of Surgery, Duke University Medical Center, Durham, NC) M Michael M. Khayat (Natera, Inc., Austin, TX) E Erik Anthony Spickard (Natera, Inc., Austin, TX) A Arkarachai Fungtammasan (Natera, Inc., Austin, TX) R Rama S. Madhurapantula (Natera, Inc., Austin, TX) S Shruti Sharma V Vasily N. Aushev R Robert William Lentz (Natera, Inc., Austin, TX) M Minetta C. Liu D Daniel Nussbaum (Department of Surgery, Duke University Medical Center, Durham, NC) P Peter J. Allen (Division of Surgical Oncology Department of Surgery Duke University Medical Center Durham North Carolina USA)

Abstract

778 Background: Pancreatic ductal adenocarcinoma (PDAC) has a high recurrence rate, with up to 80% of patients experiencing disease recurrence within two years of surgical resection. Standard postoperative monitoring with imaging and serum tumor markers has significant limitations. Here, we evaluated the prognostic value of longitudinal circulating tumor (ct)DNA assessment in an updated cohort of patients with resected PDAC, representing a larger sample size and longer clinical follow-up during post-treatment surveillance. Methods: We retrospectively analyzed 292 banked plasma samples from 43 patients with localized PDAC who underwent surgical resection +/- neoadjuvant and/or adjuvant chemotherapy. Longitudinally collected blood samples during surveillance (from post-definitive treatment to the end of follow-up/recurrence) were used for ctDNA analysis using the personalized, tumor-informed 16-plex PCR-NGS assay (Signatera RUO, Natera, Inc.). The association of ctDNA status with recurrence-free survival (RFS) was evaluated using the Kaplan-Meier method, and comparisons were accomplished using log-rank tests. A multivariable Cox proportional hazards model was used to identify the most significant prognostic factor associated with RFS. Results: Among the 43 patients included in this analysis, 37% (16) had stage I, 30% (13) had stage II, and 33% (14) had stage III disease. The median patient age was 69 years (range: 51-86), and the median follow-up was 25 months (range: 1-52). The median plasma volume was 4.5 mL (range: 0.6-6.8), with ~half of the patient samples with <2 mL of plasma. 32.6% (14/43) received neoadjuvant chemotherapy (NAC) and 62.8% (27/43) received adjuvant chemotherapy (ACT). During follow-up, 72% (31/43) of patients relapsed, 68% (21/31) of whom tested ctDNA-positive at one or more time points post-surgery. In the surveillance window, 32% (10/31) of patients were positive for ctDNA, all of whom relapsed. ctDNA-positivity in the surveillance window was associated with significantly inferior RFS (HR: 16.1, 95% CI: 3.79-68.17, P=0.0002). Upon adjusting for other clinicopathological factors (stage and surgical margin), the multivariate analysis confirmed ctDNA-positivity during surveillance to be the most significant prognostic factor associated with RFS (HR: 8.4, 95%CI: 2.84–24.8, P<0.001). Conclusions: Despite the low sample quality in this cohort, ctDNA showed prognostic value, demonstrating the clinical utility of longitudinal ctDNA monitoring during surveillance.

Article Details

Volume / Issue Vol. 44, Issue 2_suppl
Published January 10, 2026
Pages 778-778
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (16)

E

Elishama Kanu

Department of Surgery, Duke University Medical Center, Durham, NC

A

Austin M. Eckhoff

Duke University, Durham, NC

A

Ash Fletcher

Department of Surgery, Duke University Medical Center, Durham, NC

E

Ethan Agritelley

Department of Surgery, Duke University Medical Center, Durham, NC

J

Julia Button

Department of Surgery, Duke University Medical Center, Durham, NC

J

Jiayin Matthew Bao

Department of Surgery, Duke University Medical Center, Durham, NC

M

Michael M. Khayat

Natera, Inc., Austin, TX

E

Erik Anthony Spickard

Natera, Inc., Austin, TX

A

Arkarachai Fungtammasan

Natera, Inc., Austin, TX

R

Rama S. Madhurapantula

Natera, Inc., Austin, TX

S

Shruti Sharma

V

Vasily N. Aushev

R

Robert William Lentz

Natera, Inc., Austin, TX

M

Minetta C. Liu

D

Daniel Nussbaum

Department of Surgery, Duke University Medical Center, Durham, NC

P

Peter J. Allen

Division of Surgical Oncology Department of Surgery Duke University Medical Center Durham North Carolina USA