To Conduct Multi-omics Integrated Studies in Peripheral Blood, Such as Fragment Omics, Metabolomics and Epigenetics, and Establish Non-invasive Dynamic Follow-up Monitoring Programs During Perioperative and Postoperative Periods (Observational Study)
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Lung Neoplasms, Neoadjuvant Therapy, Immunotherapy, Minimal Residual Disease. Basic parameters: 18 years — 85 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
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.
Detailed description
This project is a prospective observational study designed to comprehensively integrate plasma metabolomic, radiomic, and epigenomic data to develop a predictive model for postoperative recurrence risk in lung cancer. The study will retrospectively enroll 200 patients who underwent radical surgery after neoadjuvant therapy, and prospectively enroll 100 additional post-radical-surgery lung cancer patients who received neoadjuvant treatment as a validation cohort. Peripheral blood samples will be collected at multiple timepoints for metabolomic profiling. Unsupervised clustering, random forest algorithms, and Wilcoxon tests will be applied to identify recurrence-related features and construct a recurrence prediction model.Additionally, using preoperative and first postoperative follow-up CT imaging data, a deep learning-based 3D ResNet will be employed to generate radiomic recurrence risk scores for each patient. Plasma cfDNA will undergo low-pass whole-genome sequencing and methylation analysis to extract multi-dimensional recurrence-associated features. Finally, the study will innovatively utilize the DeepProg deep learning framework to integrate radiomic, cfDNA, and plasma metabolomic data into a non-invasive multi-omics model. Combined with survival data, this model will predict recurrence risk, ultimately achieving high-accuracy stratification of patients' postoperative recurrence probability.
Primary outcome measures
- Two-year recurrence-free survival rate [Time frame: Time from curative surgery to confirmation of clinical progression (recurrence or metastasis) within two years]
Secondary outcome measures (2)
- Overall survival [Time frame: Time from curative surgery to confirmation of death (any cause)，assessed up to 60 months.]
- Timely diagnosis rate by the novel MRD monitoring technique [Time frame: two years]
Eligibility criteria
Inclusion criteria
- Signed written informed consent.
- Male or female, aged ≥ 18 and < 85 years.
- Radical resection performed, pathologic stage IB-IIIA (8th TNM) non-small-cell lung cancer.
- Tumor tissue and blood samples obtainable at all protocol-specified time-points.
- No pure ground-glass nodule on imaging.
- Completed standard neoadjuvant immunotherapy combined with platinum-based chemotherapy.
Exclusion criteria
- Postoperative pathology shows other than NSCLC, including but not limited to benign lesions, small-cell carcinoma, metastasis, or indeterminate/inadequate histology.
- Insufficient or poor-quality blood or tissue samples.
- Pure ground-glass nodule on imaging.
- History of any malignancy within the past 5 years.
- Contraindication to surgery preventing radical resection.
- Non-radical (R2) resection.
- Pathologic stage IIIB-N3, IIIC, or IV on paraffin sections.
- Refusal or withdrawal of informed consent.
- Any condition deemed unsuitable by the investigator (e.g., perioperative blood transfusion, severe psychiatric disorder precluding follow-up).
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Cohort
Study locations
China · 1 center
- Peking University People's Hospital — Beijing
Identifiers
NCT: NCT07291921 · BRWEP2024W034080204-1