Liquid Biopsy Using Methylation Sequencing for Lung Cancer

February 5, 2022 updated by: Sang-Won Um, Samsung Medical Center

Clinical Utility of Circulating Tumor DNA Methylation in the Diagnosis of Primary Lung Cancer

This study aims to investigate the utility of circulating tumor DNA (ctDNA) methylation sequencing in the diagnosis of primary lung cancer.

Study Overview

Detailed Description

Plasma sample of patients with and without lung cancer will be collected and analyzed using methylation-sensitive enzyme sequencing method. Diagnostic performance of ctDNA methylation sequencing will be compared with that of tumor markers (CEA, Cyfra 21-1, and NSE) combined.

Study Type

Observational

Enrollment (Actual)

280

Contacts and Locations

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

Study Locations

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

15 years to 85 years (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

  • Lung cancer

    1. Pathologically proven lung cancer
    2. Clinically suspected lung cancer on chest CT scan

      1. nodule, mass, pulmonary infiltrate, or consolidation
      2. size : diameter at least 1 cm
      3. CT attenuation of solid or part-solid
      4. planned to follow-up, biopsy, or surgical resection
  • Benign pulmonary disease

    1. COPD : post bronchodilator FEV1/FVC < 0.7 and FEV1 pred < 80%
    2. ILD : either histologic or clinical diagnosis
    3. Pneumonia : community or hospital acquired
    4. Bronchiectasis : chest CT diagnosis
    5. NTM : at least 2 isolation of pathogen from sputum
    6. Pulmonary vascular disease : embolism, pulmonary hypertension, arteriovenous malformation

Description

Inclusion Criteria:

  • Lung cancer group

    1. Pathologically proven lung cancer
    2. Clinically suspected lung cancer on chest CT scan
  • Benign pulmonary disease group

    • Chronic obstructive pulmonary disease, interstitial lung disease, pneumonia, bronchiectasis, non-tuberculous mycobacterial lung disease, pulmonary vascular disease

Exclusion Criteria:

  • Patients with previous history of lung cancer
  • Patients who have been diagnosed with other malignancy within 5 years
  • Unstable vital status
  • Active pulmonary tuberculosis
  • Infection with hepatitis B virus (HBV), hepatitis C virus (HCV), or human immunodeficiency virus (HIV)

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

  • Observational Models: Cohort
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Lung cancer
Whole blood (21mL) collection through venipuncture. Analysis of tumor markers and ctDNA methylation sequencing.
Benign pulmonary disease
Whole blood (21mL) collection through venipuncture. Analysis of tumor markers and ctDNA methylation sequencing.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diagnostic sensitivity of ctDNA methylation sequencing
Time Frame: 2 year
Using pathologic diagnosis of lung cancer as gold standard, diagnostic sensitivity of ctDNA methylation will be compared with that of tumor markers.
2 year
Diagnostic specificity of ctDNA methylation sequencing
Time Frame: 2 year
Using pathologic diagnosis of lung cancer as gold standard, diagnostic specificity of ctDNA methylation will be compared with that of tumor markers.
2 year

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diagnostic accuracy of ctDNA methylation sequencing
Time Frame: 2 year
Using pathologic diagnosis of lung cancer as gold standard, diagnostic accuracy of ctDNA methylation will be compared with that of tumor markers.
2 year
Positive predictive value of ctDNA methylation sequencing
Time Frame: 2 year
Using pathologic diagnosis of lung cancer as gold standard, positive predictive value of ctDNA methylation will be compared with that of tumor markers.
2 year
Negative predictive value of ctDNA methylation sequencing
Time Frame: 2 year
Using pathologic diagnosis of lung cancer as gold standard, negative predictive value of ctDNA methylation will be compared with that of tumor markers.
2 year

Collaborators and Investigators

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

Collaborators

Investigators

  • Principal Investigator: Sang-Won Um, MD, PhD, Samsung Medical Center

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)

February 3, 2020

Primary Completion (Actual)

January 31, 2022

Study Completion (Actual)

January 31, 2022

Study Registration Dates

First Submitted

January 31, 2020

First Submitted That Met QC Criteria

January 31, 2020

First Posted (Actual)

February 5, 2020

Study Record Updates

Last Update Posted (Actual)

February 8, 2022

Last Update Submitted That Met QC Criteria

February 5, 2022

Last Verified

February 1, 2022

More Information

Terms related to this study

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.

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