Plasma Proteomic Biomarkers for Early Diagnosis of Lung Cancer

NCT ID: NCT05742204

Last Updated: 2025-05-15

Study Results

Results pending

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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Recruitment Status

ACTIVE_NOT_RECRUITING

Total Enrollment

3700 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-02-01

Study Completion Date

2032-10-31

Brief Summary

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We will identify plasma proteomics biomarkers for early diagnosis of lung cancer.

Detailed Description

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We will use TMT-based proteomics approaches to analyze more than 2000 proteins in plasma samples from lung cancer patients and controls. Artificial intelligent (AI) assisted proteomics classifier will be developed for early diagnosis of lung cancer.

Conditions

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Lung Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Lung cancer group

Patients age over 18, with confirmed diagnosis of lung cancer.

Plasma protein biomarker analysis

Intervention Type OTHER

Plasma samples from lung cancer patients were collected at the time of their diagnosis, prior to the initiation of treatment.We will use TMT-based proteomics approaches to analyze more than 2000 proteins in plasma samples from lung cancer patients .

Control group

Non-cancer patients including healthy volunteers, chronic inflammatory airway diseases such as chronic obstructive airway disease, asthma, and bronchiectasis, etc.

Plasma protein biomarker analysis

Intervention Type OTHER

Plasma samples of control subjects were collected.

Interventions

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Plasma protein biomarker analysis

Plasma samples from lung cancer patients were collected at the time of their diagnosis, prior to the initiation of treatment.We will use TMT-based proteomics approaches to analyze more than 2000 proteins in plasma samples from lung cancer patients .

Intervention Type OTHER

Plasma protein biomarker analysis

Plasma samples of control subjects were collected.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* CT screening results showed that the size of pulmonary nodules was more than 5mm
* No treatment related to pulmonary nodules/lung cancer (including surgery, chemotherapy, radiotherapy, targeted therapy, immunotherapy, interventional therapy, etc.)
* Complete clinical and imaging data
* Chest CT/ low-dose spiral CT reports can be provided in the last 3 months
* Voluntarily sign informed consent

Exclusion Criteria

* There is a history of tumor
* Clinically uncontrolled active infections, such as acute pneumonia, tuberculosis, etc.
* Received any treatment related to pulmonary nodules, such as antibiotics and hormones, in the past 4 weeks
* Complicated with other tumors and serious diseases of the heart, liver, kidney, brain, blood and other systems
* Participated in other clinical trials within the last 3 months
* Combined with liver and kidney insufficiency, hypoproteinemia and other diseases affecting protein content
* You are pregnant or breastfeeding
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Second Affiliated Hospital, School of Medicine, Zhejiang University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Weilin Wang

Role: STUDY_CHAIR

2nd Affiliated Hospital, School of Medicine, Zhejiang University

Locations

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2nd Affiliated Hospital, School of Medicine, Zhejiang University

Hangzhou, China, China

Site Status

Countries

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China

Other Identifiers

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2022-1109

Identifier Type: -

Identifier Source: org_study_id

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