Performance of a blood-based screening test for the early detection of colorectal cancer.

232 Background: While the clinical benefit of highly sensitive screening tools for colorectal cancer (CRC) has been established, adherence rates remain low. The convenience and familiarity of blood-based testing may reduce disease burden through greater access and compliance to regular and recommended asymptomatic screening. We report on preliminary findings from a minimally invasive blood-based early cancer detection (ECD) screening test for CRC. Methods: Plasma samples from healthy individuals and CRC patients sourced from biobanks were included. A targeted panel composed of differentially methylated genomic regions was developed. Using an independent cohort of plasma samples, a machine-learning model was trained to classify patient samples into cancer-free and CRC based on observed differential methylation patterns in circulating cell-free DNA (cfDNA). The assay performance was calculated based on concordance with clinical diagnosis (CRC, cancer-free). Results: The test set included 440 individuals: 127 with a confirmed CRC diagnosis (47% stage I/II, mean age 65±12 years, male 46%) and 313 without cancer (mean age 56±10 years, male 41%). Overall sensitivity was 95% (95% CI: 88-100%), and specificity was 91% (95% CI: 84-98%). Among patients with stage I disease, sensitivity was 92% overall, and 88% in screen-detected individuals. Sensitivity was 100% (n=14/14) in microsatellite-high tumors and 95% (n=107/113) in microsatellite-stable tumors. Multivariate analysis demonstrated associations between methylation signal and tumor size, cancer stage, and sex. Compared with a tumor-informed, variant-based circulating tumor DNA (ctDNA) test (Signatera), we observed a PPA (positive percent agreement) of 100%. Moreover, the differentially methylated allele fraction (DMAF) across target regions strongly correlated with variant allele frequencies (VAFs) from the tumor-informed test (Spearman’s correlation coefficient, 0.85). Conclusions: Using epigenetic markers specific for CRC, we developed a sensitive and specific blood-based test to detect cfDNA from early-stage and asymptomatic disease. The methylation signal strongly correlated with ctDNA VAFs from a clinically validated tumor-informed test and increased with cancer stage and disease burden. This test could serve as a means to increase patient adherence rates for CRC screening, thereby improving patient outcomes.

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Publication Details

Journal
Journal of Clinical Oncology
Published
2025-01-27
DOI
https://doi.org/10.1200/jco.2025.43.4_suppl.232
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
Field-Weighted Citation Impact
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article

Performance of a blood-based screening test for the early detection of colorectal cancer.

Nathan L. Liang, Ilker Tunc, Matthew Rabinowitz, Jayashree Joshi et al.
Journal of Clinical Oncology
Colorectal Cancer Screening and Detection
article

Performance of a blood-based screening test for the early detection of colorectal cancer.

Nathan L. Liang, Ilker Tunc, Matthew Rabinowitz, Jayashree Joshi, Trupti Kawli, Yoshiaki Nakamura, Adham Jurdi, Preethi Srinivasan, Takayuki Yoshino, Alexey Aleshin, Prashanthi Natarajan, Misagh Kordi, Wen‐Ching Chan, Ehsan Haghshenas, Boris A. Gutman, Joshua Babiarz, Hsiao‐Yun Huang, Johannes G. Reiter, Tzu‐Chun Chen, Bree Mitchell
article en

Abstract

232 Background: While the clinical benefit of highly sensitive screening tools for colorectal cancer (CRC) has been established, adherence rates remain low. The convenience and familiarity of blood-based testing may reduce disease burden through greater access and compliance to regular and recommended asymptomatic screening. We report on preliminary findings from a minimally invasive blood-based early cancer detection (ECD) screening test for CRC. Methods: Plasma samples from healthy individuals and CRC patients sourced from biobanks were included. A targeted panel composed of differentially methylated genomic regions was developed. Using an independent cohort of plasma samples, a machine-learning model was trained to classify patient samples into cancer-free and CRC based on observed differential methylation patterns in circulating cell-free DNA (cfDNA). The assay performance was calculated based on concordance with clinical diagnosis (CRC, cancer-free). Results: The test set included 440 individuals: 127 with a confirmed CRC diagnosis (47% stage I/II, mean age 65±12 years, male 46%) and 313 without cancer (mean age 56±10 years, male 41%). Overall sensitivity was 95% (95% CI: 88-100%), and specificity was 91% (95% CI: 84-98%). Among patients with stage I disease, sensitivity was 92% overall, and 88% in screen-detected individuals. Sensitivity was 100% (n=14/14) in microsatellite-high tumors and 95% (n=107/113) in microsatellite-stable tumors. Multivariate analysis demonstrated associations between methylation signal and tumor size, cancer stage, and sex. Compared with a tumor-informed, variant-based circulating tumor DNA (ctDNA) test (Signatera), we observed a PPA (positive percent agreement) of 100%. Moreover, the differentially methylated allele fraction (DMAF) across target regions strongly correlated with variant allele frequencies (VAFs) from the tumor-informed test (Spearman’s correlation coefficient, 0.85). Conclusions: Using epigenetic markers specific for CRC, we developed a sensitive and specific blood-based test to detect cfDNA from early-stage and asymptomatic disease. The methylation signal strongly correlated with ctDNA VAFs from a clinically validated tumor-informed test and increased with cancer stage and disease burden. This test could serve as a means to increase patient adherence rates for CRC screening, thereby improving patient outcomes.

Journal of Clinical OncologyVol. 43(4_suppl)
Natera (United States) (US), National Cancer Center Hospital East (JP)
Openalex Percentile: Top 98%
Colorectal Cancer Screening and Detection
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