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

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.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Oncology
Published
2025-05-28
DOI
https://doi.org/10.1200/jco.2025.43.16_suppl.3048
Citations
1
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.94
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Nathan L. Liang, Matthew Rabinowitz, John Paul Shen, Jayashree Joshi et al.
1 citations
Journal of Clinical Oncology
Cancer Genomics and Diagnostics
0.94
article

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

Nathan L. Liang, Matthew Rabinowitz, John Paul Shen, Jayashree Joshi, Trupti Kawli, Vasily N. Aushev, Preethi Srinivasan, Seema Alexander, Stacey A. Cohen, Garima Kushwaha, Marcia Cruz‐Correa, Fei Lu, Ehsan Haghshenas, Boris A. Gutman, Joshua Babiarz, Hsiao‐Yun Huang, Johannes G. Reiter, Tzu‐Chun Chen, Alexey Aleshin, Liliana Cerna
article en
1 citations

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.

Journal of Clinical OncologyVol. 43(16_suppl)
The University of Texas MD Anderson Cancer Center (US), University of Puerto Rico, Medical Sciences Campus (PR), University of Washington (US), Fred Hutch Cancer Center (US), Natera (United States) (US)
Openalex Percentile: Top 24%
Cancer Genomics and Diagnostics
0.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.