Detection of Lung Cancer by Plasma Lipids (ELAID)
Detection of Early-stage Lung Cancer Using Machine Learning and Plasma Metabolomics
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
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Beijing
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Beijing, Beijing, China, 100044
- Peking University People's Hospital
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- pulmonary nodules or opacity
- plan to receive surgery
Exclusion Criteria:
- history of other malignancies
- received anti-cancer treatment (chemotherapy, radiotherapy, targeted therapy, etc.) before surgery
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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Participants received surgery
Patients who underwent surgery at the Department of Thoracic Surgery of Peaking University People's Hospital, Jiangsu Cancer Hospital, and Beijing Haidian Hospital were enrolled with the following criteria: 1) pathologically confirmed lung cancer; 2) no history of other malignancies; 3) no anti-cancer treatment (chemotherapy, radiotherapy, targeted therapy, etc.) before surgery.
Plasma samples were collected before surgery and plasma lipids were detected by mass spectrometry.
Pathological diagnosis and clinical characteristics of enrolled participants were retrieved.
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Plasma lipids were detected by an Ultimate 3000 ultra-high-performance liquid chromatography (UHPLC) system coupled with Q-Exactive MS (Thermo Scientific) .
Then a detection model was built based on plasma lipids using machine learning algorithm.
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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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Plasma Lipids
Time Frame: All samples were detected together after participants recruitment and sample collection. All samples were detected within 18 months from sample collection.
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A detection model based on 9 lipids were developed, including 3 lysophosphatidylcholines, 5 phosphatidylcholines, and a triglyceride.
The 9 lipids were detected by targeted metabolomics by mass spectrometry.
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All samples were detected together after participants recruitment and sample collection. All samples were detected within 18 months from sample collection.
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
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 (ACTUAL)
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
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 2018PHB233-01
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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