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Somatic copy number alteration and fragmentation analysis in circulating tumor DNA for cancer screening and treatment monitoring in colorectal cancer patients

ABSTRACT: Background: Analysis of circulating free DNA (cfDNA) is a promising tool for personalized management of colorectal cancer (CRC) patients. Untargeted cfDNA analysis using whole-genome sequencing (WGS) does not need a priori knowledge of the patientÃ‚Â´s mutation profile. Methods: Here we established LIquid biopsy Fragmentation, Epigenetic signature and Copy Number Alteration analysis (LIFE-CNA) using WGS with ~6x coverage for detection of circulating tumor DNA (ctDNA) in CRC patients as a marker for CRC detection and monitoring. Results: We describe the analytical validity and a clinical proof-of-concept of LIFE-CNA using a total of 259 plasma samples collected from 50 patients with stage I-IV CRC and 61 healthy controls. To reliably distinguish CRC patients from healthy controls, we determined cutoffs for the detection of ctDNA based on global and regional cfDNA fragmentation patterns, transcriptionally active chromatin sites, and SCNAs. We further combined global and regional fragmentation pattern into a machine learning classifier to accurately predict ctDNA for cancer detection. By following individual patients throughout their course of disease, we show that LIFE-CNA enables the reliable prediction of response or resistance to treatment up to 3.5 months before commonly used CEA. Conclusion: In summary, we developed and validated a sensitive and cost-effective method for untargeted ctDNA detection at diagnosis as well as for treatment monitoring of all CRC patients based on genetic as well as non-genetic tumor-specific cfDNA features. Thus, once sensitivity and specificity have been externally validated, LIFE-CNA has the potential to be implemented into clinical practice. To the best of our knowledge, this is the first study to consider multiple genetic and non-genetic cfDNA features in combination with ML classifiers and to evaluate their potential in both cancer detection and treatment monitoring.

PROVIDER: EGAS00001006490 | EGA |

REPOSITORIES: EGA

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Project description:Colorectal cancer (CRC) is one of the most common gastrointestinal tumors. According to the latest cancer report, the incidence and mortality rates of CRC are both ranked top 5 among malignant tumors worldwide and continue to rise. Patients who receive treatment in the early stage (stage I) have a 5-year survival rate of approximately 90%. However, for high-risk stage II and III colorectal cancer patients, the 5-year survival rate is only 40%-70%, and almost half of the patients experience postoperative recurrence and metastasis. Circulating tumor DNA (ctDNA) is a small fraction of total cell-free DNA (cfDNA) in peripheral blood circulation, carrying tumor-specific genetic and epigenetic information. It can usually be detected in the serum or plasma of tumor patients in peripheral blood. Studies have shown that methylation detection of plasma ctDNA can be used for predicting the efficacy and prognosis of tumor postoperatively, as well as for dynamic monitoring. Current methods for monitoring CRC recurrence include testing for carcinoembryonic antigen (CEA) in blood and periodic computed tomography (CT) scans. However, due to the low sensitivity of CEA and the radiation and cost limitations of CT examination, the disease status of postoperative CRC patients cannot be well-monitored. ctDNA is a promising biomarker for monitoring the recurrence and metastasis of CRC. Research results have shown that ctDNA can be detected in all subjects before surgery, and the changes in ctDNA levels are related to the extent of surgical resection. The detection of ctDNA after surgery generally indicates recurrence within one year. ctDNA may be a more reliable and sensitive indicator than the current standard biomarker CEA, providing a window for early intervention. This multicenter, prospective, and randomized controlled cohort study uses a single-tube methylation-specific quantitative PCR (mqMSP) detection, which detects 10 different methylation markers and can quantitatively analyze plasma samples containing tumor DNA as low as 0.05%. This study will use the ctDNA methylation detection technology to conduct quantitative detection of ctDNA methylation in the plasma of enrolled patients, hoping to predict the recurrence and metastasis risk of patients at an earlier stage through ctDNA changes, and to explore the value of ctDNA detection in guiding postoperative follow-up for high-risk stage II and III CRC.

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Somatic copy number alteration and fragmentation analysis in circulating tumor DNA for cancer screening and treatment monitoring in colorectal cancer patients

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