Development of a methylation-based, tissue-free test for the detection of molecular residual disease by circulating tumor DNA.

J John Paul Y.C. Shen (Department of Gastrointestinal (GI) Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX) J Johannes Reiter (Natera, Inc., Austin, TX) J Joshua Babiarz (Natera, Inc., Austin, TX) P Preethi Srinivasan F Fei Lu (Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy) E Ehsan Haghshenas (Natera, Inc., Austin, TX) T Tzu-Chun Chen (Natera, Inc., Austin, TX) N Nathan Liang (UPMC, Pittsburgh, Pennsylvania, United States) J Jayashree Joshi (Natera, Inc., Austin, TX) H Hsiao-Yun Huang (Natera, Inc., Austin, TX) L Liliana Cerna (Natera, Inc., Austin, TX) S Spenser Alexander (Natera, Inc., Austin, TX) B Boris Gutman (Natera, Inc., Austin, TX) G Garima Kushwaha (Natera, Inc., Austin, TX) V Vasily N. Aushev M Marcia Roxana Cruz-Correa (University of Puerto Rico, School of Medicine, and Pan American Center for Oncology Trials, San Juan, PR, Puerto Rico) M Matthew Rabinowitz (MyOme, Inc, Menlo Park, California, United States) T Trupti Kawli (Natera, Inc., Austin, TX) A Alexey Aleshin (Natera, Inc., Austin, TX) S Stacey A. Cohen (Fred Hutch Cancer Center, University of Washington, Seattle, WA)

Abstract

3048 Background: Clinical validation studies support tumor-informed molecular residual disease (MRD) as a prognostic biomarker for disease recurrence across multiple solid tumor types. However, these tests are not always feasible due to the occasional lack of tumor tissue for next-generation sequencing. Here, we discuss the design of a test for tissue-free (tf)MRD detection and its application to a cohort of patients with colorectal cancer (CRC). Methods: A targeted panel composed of differentially methylated regions was developed. A machine-learning model was trained on differential methylation patterns in order to classify plasma samples as MRD-positive or MRD-negative. Performance of the trained classifier was assessed in an independent cohort of 246 patients enrolled in the Bespoke CRC trial (NCT04264702). These patients had MRD results available using a tumor-informed circulating tumor DNA (ctDNA) assay (SignateraTM), of whom 163 were persistently MRD-negative without clinical progression, and 83 had MRD-positive results. Tissue-free MRD results were compared to the tumor-informed results by calculating the percent positive agreement (PPA) and negative percent agreement (NPA). Clinical outcomes (recurrence-free survival [RFS]) were evaluated based on tfMRD results in all patients and stratified based on whether the patient received adjuvant chemotherapy (ACT). Results: In this clinical cohort from Bespoke CRC (72% non-Hispanic White, 54% male, mean age 61.4±12.3 years), 71 (28%) patients had stage II CRC, and 146 (59%) had stage III CRC. Overall, PPA was 86% (95% CI: 77-93%) and NPA was 98% (95% CI: 95-100%). Patients with tfMRD-positive status showed inferior RFS compared to tfMRD-negative patients (p < 0.001). Significant benefit from ACT was observed among tfMRD-positive (p < 0.001) but not among tfMRD-negative patients (p = 0.19). For patients who did not receive ACT in this cohort, we observed 100% PPV and 100% specificity. Conclusions: This is the first study of its kind demonstrating a high concordance between a tfMRD test and a clinically validated tumor-informed ctDNA assay. Similar to recently reported data using a tumor-informed ctDNA assay, patients with tfMRD-positive results appeared to derive benefit from ACT treatment. These findings demonstrate that in cases where tissue is not available or of inadequate quality, a methylation-based tissue-free assay may serve as a potential alternative for MRD detection.

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
Pages 3048-3048
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (20)

J

John Paul Y.C. Shen

Department of Gastrointestinal (GI) Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX

J

Johannes Reiter

Natera, Inc., Austin, TX

J

Joshua Babiarz

Natera, Inc., Austin, TX

P

Preethi Srinivasan

F

Fei Lu

Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy

E

Ehsan Haghshenas

Natera, Inc., Austin, TX

T

Tzu-Chun Chen

Natera, Inc., Austin, TX

N

Nathan Liang

UPMC, Pittsburgh, Pennsylvania, United States

J

Jayashree Joshi

Natera, Inc., Austin, TX

H

Hsiao-Yun Huang

Natera, Inc., Austin, TX

L

Liliana Cerna

Natera, Inc., Austin, TX

S

Spenser Alexander

Natera, Inc., Austin, TX

B

Boris Gutman

Natera, Inc., Austin, TX

G

Garima Kushwaha

Natera, Inc., Austin, TX

V

Vasily N. Aushev

M

Marcia Roxana Cruz-Correa

University of Puerto Rico, School of Medicine, and Pan American Center for Oncology Trials, San Juan, PR, Puerto Rico

M

Matthew Rabinowitz

MyOme, Inc, Menlo Park, California, United States

T

Trupti Kawli

Natera, Inc., Austin, TX

A

Alexey Aleshin

Natera, Inc., Austin, TX

S

Stacey A. Cohen

Fred Hutch Cancer Center, University of Washington, Seattle, WA