Adenocarcinoma of Lung
Conditions
Keywords
Subsolid nodule, Invasive evolution
Brief summary
Current clinical follow-up frequency and treatment timing for pulmonary subsolid nodules (SSNs) rely mostly on whether the nodules grow, which may not accurately reflect the pathological status, and may lead to unnecessary follow-ups. This study aims to use multi-omics techniques to dynamically observe the growth and invasiveness evolution process of SSNs and uncover its invasiveness mechanism. Radiological characteristics of SSNs in different invasiveness stages were also analyzed and summarized by analyzing preoperative CT. This can overcome the bottleneck of invasiveness assessment in the growth process of SSN and provide scientific evidence for the scientific management and clinical treatment timing choice of SSN patients, thus facilitating the rational allocation of medical resources and prolonging the expected survival of national health.
Detailed description
This prospective observational cohort study aims to recruit 120 patients with subsolid nodules (SSNs) and 100 healthy volunteers. Enroll 120 patients with SSNs planned for surgery and 100 healthy volunteers. Sequence blood and tissue samples from patients and compare the relevance of biomarkers between the two. Use blood from healthy volunteers as blank controls. Additionally, analyzes radiological characteristics of SSNs at different invasive stages using preoperative CT.
Interventions
DIAGNOSTIC_TESTMass spectrometry-based proteomics
Detecting genomic and proteomic information
Sponsors
Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Inclusion criteria
Patients with SSNs 1. Newly diagnosed patients with persistent SSNs confirmed by thin-section chest CT examination 2. Patient areilling to undergo surgery 3. Voluntarily sign a written informed consent form Healthy Volunteers 1. Healthy volunteers aged 18-50 years, regardless of gender. 2. No lung nodules detected on chest thin-section CT. 3. No history of cancer. 4. Voluntary sign a written informed consent form.
Exclusion criteria
Patients with SSNs 1. Surgical contraindications 2. Inability to cooperate with CT/MR examination to obtain high-quality images 3. History of malignant tumors 4. Previous targeted, immune, or ablation therapy 5. Postoperative pathology of non-lung adenocarcinoma disease spectrum 6. Other situations deemed unsuitable for participation in this study by the researchers Healthy Volunteers 1. Drug abuse 2. HIV infection or AIDS 3. History of syphilis, gonorrhea, or other infectious diseases 4. Hepatitis B or C virus carrier
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Accuracy of subsolid nodule invasive diagnosis | Through study completion, an average of 1 year. | The efficacy of screening features for SSN invasiveness was compared to pathological diagnosis, using metrics such as sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). |
Countries
China
Contacts
Primary ContactLi Zhang, Doctor
Backup ContactMeng Li, Doctor
Outcome results
None listed