Application of Methylation Markers in Early Detection and MRD Monitoring of Lung Cancer
NCT ID: NCT07257458
Last Updated: 2025-12-02
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
30 participants
OBSERVATIONAL
2025-04-02
2028-06-30
Brief Summary
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Stage I-IV NSCLC patients undergoing surgical resection were enrolled. Peripheral blood was collected longitudinally for circulating tumor DNA (ctDNA) methylation testing: preoperatively, postoperatively at 3 days, 1, 3, 6, 9, 12, 18, and 24 months, and upon radiographic recurrence. The dynamic changes in SHOX2/PTGER4 methylation levels and conventional tumor marker positivity rates were analyzed.
Comprehensive statistical analyses were performed: Correlation between methylation levels and radiographic findings was assessed using Pearson/Spearman tests; predictive accuracy for recurrence was evaluated via ROC curve analysis; patients were stratified into methylation-based risk groups; survival differences were compared using Kaplan-Meier curves with log-rank testing; independent predictive value was determined through multivariate Cox regression adjusting for clinicopathological confounders. Final efficacy assessment integrated ctDNA positivity timing, disease-free survival (DFS), and overall survival (OS) metrics.
This prospective biomarker study seeks to validate a novel epigenetic approach for postoperative management, potentially establishing ctDNA methylation monitoring as a standardized tool for MRD detection and recurrence risk stratification in resected NSCLC.
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Detailed Description
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Current MRD detection primarily analyzes mutations in circulating tumor DNA (ctDNA). However, high inter-patient mutational heterogeneity poses challenges for designing compact, broadly effective detection panels. The Tumor-informed approach, which designs patient-specific panels, is limited by its dependency on tumor tissue samples. In contrast, DNA methylation biomarkers for MRD analysis do not require prior knowledge of tumor-specific mutations. Their sensitivity is independent of high-frequency mutation burden, changes occur early in tumorigenesis, and they exhibit tissue and cancer type specificity. Furthermore, DNA methylation shows consistency across numerous genomic regions, enabling detection via multiple CpG sites.
The "Expert Consensus on Tumor DNA Methylation Biomarker Testing and Clinical Application (April 2024)" states that variations in DNA methylation levels are closely associated with tumor prognosis and can be used for MRD assessment and recurrence monitoring. Mounting evidence supports this: A 2023 BMC Medicine study of 195 NSCLC patients found that individualized methylation-based MRD monitoring signaled recurrence earlier than mutation-based monitoring. A 2023 JAMA Oncology study demonstrated that detecting ctDNA methylation of five genes could predict colorectal cancer recurrence up to 20 months earlier than imaging, with significantly higher recurrence risk in patients positive for ctDNA one month post-surgery (HR=17.5). Another prospective study (NCT00958737) in 805 colorectal cancer patients confirmed a significantly higher 2-year disease-free survival rate in the ctDNA methylation-negative group (82% vs 64%).
This study aims to investigate the role of plasma SHOX2 and PTGER4 gene methylation levels in monitoring MRD and evaluating efficacy in NSCLC patients post-surgery. The study will enroll patients with histopathologically/clinically diagnosed stage I-IV NSCLC undergoing surgical resection. Peripheral blood will be collected at multiple timepoints: pre-treatment, and post-treatment at 3 days, 1 month, 3 months, 6 months, 9 months, 12 months, 18 months, 24 months, and upon recurrence for ctDNA methylation analysis.
Statistical analyses will include: Assessing the correlation between methylation levels and radiological metrics using Pearson or Spearman coefficients; Evaluating the predictive power for recurrence using Receiver Operating Characteristic (ROC) curves; Stratifying patients into high-risk and low-risk groups based on methylation results; Plotting recurrence-free survival curves using the Kaplan-Meier method and comparing groups with the Log-rank test; Assessing the independent predictive value of SHOX2 and PTGER4 methylation for recurrence risk using multivariate Cox regression analysis, adjusting for confounders like age, gender, and tumor stage; Finally, evaluating individualized therapeutic efficacy based on the timing of ctDNA positivity, Disease-Free Survival (DFS), and Overall Survival (OS). The goal is to provide a scientific basis for predicting recurrence risk and guiding treatment decisions.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Surgical treatment group
Patients treated with conventional surgical operations
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Age 18-85 years old.
* Lung cancer patients who are determined by clinicians to be eligible for surgical treatment.
* ECOG score ≤ 2, with an expected survival period of ≥ 6 months, and having signed the informed consent form.
* The subjects should have clear case information, including age, gender, and clinical diagnosis, etc.
Exclusion Criteria
* Those with severe heart, lung or vascular diseases that make them unable to tolerate surgery.
* Pregnant or lactating women.
* Patients who may be unable to complete follow-up during the study, as well as other factors that the researcher deems inappropriate for participation in the study.
* Incomplete clinical or follow-up information.
18 Years
85 Years
ALL
No
Sponsors
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Beijing Haidian Hospital
OTHER
Responsible Party
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Yuqing Huang
Director
Principal Investigators
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Yuqing Huang
Role: PRINCIPAL_INVESTIGATOR
Beijing Haidian Hospital
Locations
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Beijing Haidian Hospital
Beijing, Beijing Municipality, China
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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M202535
Identifier Type: -
Identifier Source: org_study_id
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