Benign/Malignant Pulmonary Nodule Classification Based on High-throughput Whole-genome Methylation Sequencing(GM-seq)
Development a Pulmonary Nodules Diagnosis Classification Model for Benign/Malignant of Bronchoscopic Biopsy Specimens Based on High-throughput Whole-genome Methylation Sequencing(GM-seq)
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Wei Zhou, Doctor
- Phone Number: 13911295918
- Email: zhouwei3090@bjhmoh.cn
Study Locations
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Beijing Municipality
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Beijing, Beijing Municipality, China, 100730
- Beijing Hospital
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Beijing, Beijing Municipality, China, 100028
- Emergency General Hospital
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Male or female, 20-75 year-old with pulmonary nodules 1-3cm in diameter confirmed by chest CT;
- The nodules are single or multiple, suspected to be malignant, and have the indication of surgical resection;
- Patient accept imaging evaluation without advanced lung tumors and metastases;
- The location of the nodule in the lung is within the reach of lung biopsy under bronchoscope;
- provide the collected clinical data needed by the research;
- Patients have the ability to follow the planned schedule and actively cooperate to return to the hospital for regular clinical visits.
Exclusion criteria:
- Unwilling to accept the invasive examination and treatment of this study;
- Contraindication of tracheoscopy;
- Consider that the pulmonary nodules are metastatic tumors or unresectable advanced lung cancer;
- Those who cannot tolerate resection of pulmonary nodules;
- Accompanied by other malignant tumors;
- In the judgment of the researcher, the patient also suffers from other serious diseases that may affect the accuracy of the test;
- Those who cannot accept the use of contrast-enhanced magnetic resonance imaging (MRI) or contrast-enhanced computed tomography (CT);
- Any other illness, social / psychological problems, etc. are judged by the researcher to be unsuitable for participating in this study.
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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[Training set, N=80] Benign/Malignant Pulmonary Nodule
This is a prospective training-set cohort study.
A stratified case-cohort design will be used to select patients with malignant pulmonary nodules and patients with benign pulmonary nodules for analysis.
All participants will receive chest CT or low-dose computed tomography (LD-CT) scanning and detection of serum tumor markers, and receive Whole-genome methylation sequencing at baseline.
GM-seq will perform methylation analysis to build a prediction model for benign and malignant classification.
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A Whole-genome Methylation detection method, which can analyze the genome-wide, single base resolution methylation of tissue / blood samples, and is used to develop a benign and malignant classification model for Pulmonary Nodule.
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[Verification set, N=40] Benign/Malignant Pulmonary Nodule
This is a prospective validation-set cohort study.
A stratified case-cohort design was used to select patients with malignant pulmonary nodules and patients with benign pulmonary nodules for analysis.
All participants will verify the benign and malignant differentiation model based on GM-seq methylation analysis, and compare the results with histopathological benign and malignant results, so as to develop a clinical benign and malignant differentiation model.
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A Whole-genome Methylation detection method, which can analyze the genome-wide, single base resolution methylation of tissue / blood samples, and is used to develop a benign and malignant classification model for Pulmonary Nodule.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Area under the receiver operating characteristic curve (ROC)
Time Frame: 2 years
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Area under curve (AUC) of GM-seq data in discriminating malignant nodules from benign nodules.
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2 years
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Study Chair: Wei Zhou, Doctor, Beijing Hospital
- Study Director: Yunzhi Zhou, Doctor, Emergency General Hospital
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- GM-Lung diagnosis
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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