Development of a methylation-based, tissue-agnostic 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 Cruz-Correa (The University of Puerto Rico, Medical Sciences Campus, and Pan-American Center for Oncology Trials, San Juan, 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

266 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. Here, we discuss the design of a test for tissue-agnostic 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 independently trained classifier was assessed in a cohort of 247 patients enrolled in the Bespoke CRC trial (NCT04264702). These patients had MRD results available using a tumor-informed circulating tumor DNA (ctDNA) assay (Signatera), of whom 163 were persistently MRD-negative without clinical progression and 84 had MRD-positive results. Tissue-agnostic MRD results were compared to the tumor-informed results by calculating the percent positive agreement (PPA). Additionally, the differentially methylated allele fraction (DMAF) from the tissue-agnostic test was compared with variant allele frequencies (VAFs) from the tumor-informed test. Results: In the Bespoke CRC clinical cohort (72% non-Hispanic White, 54% male, mean age 61.4±12.3 years), 71 (28%) patients had stage II CRC, and 147 (60%) had stage III CRC. Overall, PPA was 86% (95% CI: 70-100%) and specificity was 97% (95% CI: 93-100%). When categorizing based on tumor-informed MRD VAF levels, PPA was 97% for VAF >0.2%, 100% for VAF 0.1-0.2%, 89% for VAF 0.04-0.1%, and 68% for VAF <0.04%. The DMAFs strongly correlated with the VAFs from the tumor-informed test and the correlation was independent of disease stage, histology, age, and sex. Conclusions: This is the first study of its kind demonstrating high concordance between a tissue-agnostic MRD test and a clinically validated tumor-informed ctDNA assay. These findings demonstrate that in cases where tissue is not available or of inadequate quality, a methylation-based tissue-agnostic assay may serve as a potential alternative for MRD detection.

Article Details

Volume / Issue Vol. 43, Issue 4_suppl
Published February 01, 2025
Pages 266-266
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 Cruz-Correa

The University of Puerto Rico, Medical Sciences Campus, and Pan-American Center for Oncology Trials, San Juan, 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