Abstract B020: Early detection of colorectal cancer using micronuclei DNA

Abstract Background: Current development in stool- and cell-free DNA (cfDNA)-based technologies have demonstrated promising potentials in colorectal cancer (CRC) diagnosis. However, the early detection of CRC and advanced adenomas (AA) remains a challenge. Micronuclei (MN) are hallmarks of genomic instabilities. Elevated levels of MN+ erythrocytes have been studied in genotoxicity testing and cancer diagnosis. We utilized previously developed methods to isolate and sequence MN-DNA from erythrocytes in 1-2 mL peripheral blood, revealing significant differences between patients and healthy donors (WO2021/228246 A1). Here, we established an independent cohort to further evaluate the value of MN-DNA in identifying CRC and AA. Methods: We enrolled 1251 samples with complete colonoscopy reports, comprising 360 CRC patients, 330 AA patients, and 561 non-cancer individuals. We collected 1-2 mL of peripheral blood from each enrolled individual, and the MN-DNA was isolated and performed on whole genome sequencing. We used 80% of these samples for the CRC- and AA-associated MN-DNA features identification and model development, while the remaining 20% were designated as the test set to evaluate the model performance and determine the cutoff. Based on the specificity and sensitivity in the test set, we launched a prospective observational case-control clinical trial (NCT05875584), which was used as an independent cohort to validate the model and to perform a comparative analysis with quantitative fecal immunochemical test (qFIT). A total of 598 samples were enrolled in this study (585 were available, including 299 HDs, 206 AAs, and 80 CRCs). Results: The predictive CRC model built on MN-DNA features achieved an AUC of 96% and the detection of AAachieved an AUC of 88% in the independent cohort. Comparing MN-DNA with qFIT, the overall sensitivity was generally consistent (90% vs. 88%), with MN-DNA achieving 91% sensitivity in early-stage (stage I) CRC, significantly higher than 68% in qFIT. Additionally, MN-DNA showed superior sensitivity in detecting AA (70% vs. 18%), with comparable specificity (90% vs. 96%). Conclusions: Our results demonstrate that MN-DNA within erythrocytes from 1-2ml peripheral blood enables accurate detection of AA and early-stage CRC. Research sponsor: Timing Biotech. Citation Format: Xingyun Yao, Haobo Sun, Yurong Jiao, Chengcheng Liu, Xiangxing Kong, Honghao Liang, Fei Meng, Jun Li, Kefeng Ding, Xiaofei Gao. Early detection of colorectal cancer using micronuclei DNA [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Functional and Genomic Precision Medicine in Cancer: Different Perspectives, Common Goals; 2025 Mar 11-13; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2025;85(5 Suppl):Abstract nr B020.

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Journal
Cancer Research
Published
2025-03-11
DOI
https://doi.org/10.1158/1538-7445.genfunc25-b020
Primary Topic
Cancer Genomics and Diagnostics
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article

Abstract B020: Early detection of colorectal cancer using micronuclei DNA

Yurong Jiao, Xingyun Yao, Xiaofei Gao, Kefeng Ding et al.
Cancer Research
Cancer Genomics and Diagnostics
article

Abstract B020: Early detection of colorectal cancer using micronuclei DNA

Yurong Jiao, Xingyun Yao, Xiaofei Gao, Kefeng Ding, Chengcheng Liu, Honghao Liang, Haobo Sun, Xiangxing Kong, Fei Meng, Jun Li
article en

Abstract

Abstract Background: Current development in stool- and cell-free DNA (cfDNA)-based technologies have demonstrated promising potentials in colorectal cancer (CRC) diagnosis. However, the early detection of CRC and advanced adenomas (AA) remains a challenge. Micronuclei (MN) are hallmarks of genomic instabilities. Elevated levels of MN+ erythrocytes have been studied in genotoxicity testing and cancer diagnosis. We utilized previously developed methods to isolate and sequence MN-DNA from erythrocytes in 1-2 mL peripheral blood, revealing significant differences between patients and healthy donors (WO2021/228246 A1). Here, we established an independent cohort to further evaluate the value of MN-DNA in identifying CRC and AA. Methods: We enrolled 1251 samples with complete colonoscopy reports, comprising 360 CRC patients, 330 AA patients, and 561 non-cancer individuals. We collected 1-2 mL of peripheral blood from each enrolled individual, and the MN-DNA was isolated and performed on whole genome sequencing. We used 80% of these samples for the CRC- and AA-associated MN-DNA features identification and model development, while the remaining 20% were designated as the test set to evaluate the model performance and determine the cutoff. Based on the specificity and sensitivity in the test set, we launched a prospective observational case-control clinical trial (NCT05875584), which was used as an independent cohort to validate the model and to perform a comparative analysis with quantitative fecal immunochemical test (qFIT). A total of 598 samples were enrolled in this study (585 were available, including 299 HDs, 206 AAs, and 80 CRCs). Results: The predictive CRC model built on MN-DNA features achieved an AUC of 96% and the detection of AAachieved an AUC of 88% in the independent cohort. Comparing MN-DNA with qFIT, the overall sensitivity was generally consistent (90% vs. 88%), with MN-DNA achieving 91% sensitivity in early-stage (stage I) CRC, significantly higher than 68% in qFIT. Additionally, MN-DNA showed superior sensitivity in detecting AA (70% vs. 18%), with comparable specificity (90% vs. 96%). Conclusions: Our results demonstrate that MN-DNA within erythrocytes from 1-2ml peripheral blood enables accurate detection of AA and early-stage CRC. Research sponsor: Timing Biotech. Citation Format: Xingyun Yao, Haobo Sun, Yurong Jiao, Chengcheng Liu, Xiangxing Kong, Honghao Liang, Fei Meng, Jun Li, Kefeng Ding, Xiaofei Gao. Early detection of colorectal cancer using micronuclei DNA [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Functional and Genomic Precision Medicine in Cancer: Different Perspectives, Common Goals; 2025 Mar 11-13; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2025;85(5 Suppl):Abstract nr B020.

Cancer ResearchVol. 85(5_Supplement)
Westlake University (CN), Second Affiliated Hospital of Zhejiang University (CN)
Openalex Percentile: Top 95%
Cancer Genomics and Diagnostics
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