Non-Invasive Postoperative Recurrence Monitoring After Neoadjuvant Immunotherapy in Lung Cancer

Summary

This project aims to innovatively integrate multi-omics data, including plasma metabolomics, radiomics, and cfDNA multi-level information, combined with survival data (e.g., RFS), to establish a novel multidimensional approach for noninvasive postoperative recurrence monitoring in lung cancer using artificial intelligence algorithms. The goal is to develop a new noninvasive recurrence monitoring system for lung cancer.

Eligibility

Inclusion Criteria:

1. Signed written informed consent.
2. Male or female, aged ≥ 18 and \< 85 years.
3. Radical resection performed, pathologic stage IB-IIIA (8th TNM) non-small-cell lung cancer.
4. Tumor tissue and blood samples obtainable at all protocol-specified time-points.
5. No pure ground-glass nodule on imaging.
6. Completed standard neoadjuvant immunotherapy combined with platinum-based chemotherapy.

Exclusion Criteria:

1. Postoperative pathology shows other than NSCLC, including but not limited to benign lesions, small-cell carcinoma, metastasis, or indeterminate/inadequate histology.
2. Insufficient or poor-quality blood or tissue samples.
3. Pure ground-glass nodule on imaging.
4. History of any malignancy within the past 5 years.
5. Contraindication to surgery preventing radical resection.
6. Non-radical (R2) resection.
7. Pathologic stage IIIB-N3, IIIC, or IV on paraffin sections.
8. Refusal or withdrawal of informed consent.
9. Any condition deemed unsuitable by the investigator (e.g., perioperative blood transfusion, severe psychiatric disorder precluding follow-up).

Conditions6

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