Lung Cancer
Conditions
Brief summary
We will identify plasma proteomics biomarkers for early diagnosis of lung cancer.
Detailed description
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.
Interventions
OTHERPlasma 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 .
Sponsors
Second Affiliated Hospital, School of Medicine, Zhejiang University
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
Yes
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Plasma proteomic biomarkers | 1 month after surgery | Plasma proteomic biomarkers for detection of lung cancer |
| Model or classifier performance | 1 month after surgery | Artificial intelligent (AI) assisted proteomics classifier will be developed for early diagnosis of lung cancer; and model or classifier performance including AUC, sensitivity, specificity, and accuracy |
Countries
China
Outcome results
None listed