Application of Methylation Markers in Early Detection and MRD Monitoring of Lung Cancer

November 20, 2025 updated by: Yuqing Huang, Beijing Haidian Hospital

This study aims to evaluate the utility of combined plasma SHOX2 and PTGER4 gene methylation analysis as a dynamic biomarker for monitoring minimal residual disease (MRD) and predicting recurrence in postoperative non-small cell lung cancer (NSCLC) patients. The primary objective is to determine whether serial methylation assessment can guide personalized adjuvant therapy decisions by identifying high-risk individuals, thereby potentially reducing overtreatment or undertreatment.

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.

Study Overview

Status

Recruiting

Conditions

Detailed Description

Lung cancer has the highest global incidence and mortality among all malignancies. As a high-incidence country, China reported approximately 1.0606 million new cases and 733,300 deaths in 2022, accounting for 22.0% and 28.5% of all malignant tumors, respectively. While early surgery is the primary curative approach, the risk of postoperative recurrence is substantial, with 5-year recurrence rates of 19% for stage IA, 30% for stage IB, and 48.6% for stage II NSCLC. The 3-year recurrence rate for stage III patients is as high as 52%. Crucially, even when imaging confirms a "tumor-free status" (R0 resection), hidden minimal residual disease (MRD) often leads to recurrence.

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.

Study Type

Observational

Enrollment (Estimated)

30

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • Beijing Municipality
      • Beijing, Beijing Municipality, China, 100080
        • Recruiting
        • Beijing Haidian Hospital
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients with non-small cell lung cancer (NSCLC) diagnosed by histopathology/ clinical diagnosis and scheduled for surgical treatment were selected, with ages ranging from 18 to 85 years old. All enrolled patients had peripheral blood drawn within one week before treatment, and at 3 days, 1 month, 3 months, 6 months, 12 months, 18 months and 24 months after treatment for the detection of SHOX2/PTGER4 methylation in plasma cell-free DNA DNA (cfDNA)

Description

Inclusion Criteria:

  • Diagnosed with non-small cell lung cancer (NSCLC) by histopathology/clinical diagnosis.
  • 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:

  • Patients with a history of other malignant tumors or autoimmune diseases.
  • 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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Surgical treatment group
Patients treated with conventional surgical operations

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The median lead time of SHOX2/PTGER4 methylation compared with traditional methods (tumor markers, imaging) for prediction.
Time Frame: Through study completion, an average of 2 years.

Measure time point of outcome: Preoperatively, 3 days, 1 month, 3 months, 6 months, 12 months, 18 months and 24 months postoperatively, and at the time of recurrence.

Measure method: SHOX2/PTGER4 Methylation Detection Kit (PCR Fluorescence Method).

Through study completion, an average of 2 years.
Disease-free survival: Differences in DFS based on methylation status after treatment.
Time Frame: Through study completion, an average of 2 years.

Measure time point of outcome: Preoperatively, 3 days, 1 month, 3 months, 6 months, 12 months, 18 months and 24 months postoperatively, and at the time of recurrence.

Measure method: Kaplan-Meier method.

Through study completion, an average of 2 years.
Dynamic concentration changes: The relative change rate of methylation levels before and after treatment and during recurrence.
Time Frame: Through study completion, an average of 2 years.

Measure time point of outcome: Preoperatively, 3 days, 1 month, 3 months, 6 months, 12 months, 18 months and 24 months postoperatively, and at the time of recurrence.

Measure method: SHOX2/PTGER4 Methylation Detection Kit (PCR Fluorescence Method).

Through study completion, an average of 2 years.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The rate of methylation "turning negative" after treatment
Time Frame: Through study completion, an average of 2 years.

Measure time point of outcome: Preoperatively, 3 days, 1 month, 3 months, 6 months, 12 months, 18 months and 24 months postoperatively, and at the time of recurrence.

Measure method: SHOX2/PTGER4 Methylation Detection Kit (PCR Fluorescence Method).

Through study completion, an average of 2 years.
Forecast performance
Time Frame: Through study completion, an average of 2 years.

Measure time point of outcome: Preoperatively, 3 days, 1 month, 3 months, 6 months, 12 months, 18 months and 24 months postoperatively, and at the time of recurrence.

Measure method: Receiver Operating Characteristic Curve.

Through study completion, an average of 2 years.
The relationship between methylation status and overall survival.
Time Frame: Through study completion, an average of 2 years.

Measure time point of outcome: Preoperatively, 3 days, 1 month, 3 months, 6 months, 12 months, 18 months and 24 months postoperatively, and at the time of recurrence.

Measure method: Multivariate Cox regression, Log-rank test.

Through study completion, an average of 2 years.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Yuqing Huang, Beijing Haidian Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 2, 2025

Primary Completion (Estimated)

June 30, 2028

Study Completion (Estimated)

June 30, 2028

Study Registration Dates

First Submitted

November 17, 2025

First Submitted That Met QC Criteria

November 20, 2025

First Posted (Actual)

December 2, 2025

Study Record Updates

Last Update Posted (Actual)

December 2, 2025

Last Update Submitted That Met QC Criteria

November 20, 2025

Last Verified

November 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Lung Cancer (NSCLC)

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