Predicting outcomes of pre-surgery treatment for non-small cell lung cancer
Official title: A Study on Multimodal Data Prediction of Outcome to Neoadjuvant Therapy in NSCLC
Run by Tongji Hospital · NCT07388771 · Data updated 2026-11-12
This project will try to use clinical, imaging, and molecular data to predict which patients with non-small cell lung cancer will respond to neoadjuvant chemo‑immunotherapy before surgery.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 500 (estimated) |
| Sponsor | Tongji Hospital Academic / other |
| Drugs / interventions | immunotherapy |
| Locations | 2 sites (Wuhan, Hubei and 1 other locations) |
| Status | Recruiting |
| Started | December 1, 2025 |
| Main results expected | October 2026 |
| Study ends | October 2026 |
| Registry record updated | March 19, 2026 |
| Trial ID | NCT07388771 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults with pathologically confirmed non‑small cell lung cancer who are planned to receive neoadjuvant chemo‑immunotherapy followed by surgical resection and do not have distant metastases or other primary tumors are ideal candidates.
✕Probably not a fit
Patients with recurrent or metastatic lung cancer or with other concurrent primary tumors are excluded and would not be expected to benefit from the model.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study will enroll patients with pathologically confirmed NSCLC who receive neoadjuvant chemo‑immunotherapy followed by surgical resection at two tertiary hospitals in China. Investigators will collect clinical information, imaging, pathological response data, and available molecular markers to build a multimodal predictive model. Machine learning methods will be used to train the model on part of the cohort and validate performance on held‑out and external center cases when available. The aim is to produce a tool that forecasts pathological response to neoadjuvant therapy and can inform preoperative decision making.
Why it matters
Potential benefit: If successful, the model could help doctors identify which patients are likely to benefit from neoadjuvant chemo‑immunotherapy and personalize preoperative treatment plans.
How similar studies have gone: Previous radiomics and genomic studies have shown promise in predicting response to neoadjuvant therapy in NSCLC, but fully integrated multimodal prediction models remain emerging and need broader validation.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. pathologically diagnosed non-small cell lung cancer 2. The treatment plan is:receiving neoadjuvant chemo-immunotherapy during the study period, followed by surgical resection Exclusion Criteria: 1. recurrent or metastatic lung cancer; 2. patients with other primary tumors
Where it's running
-
Tongji hospital
Wuhan, Hubei, China Recruiting -
Sir Run Run Shaw Hospital
Hangzhou, Zhejiang, China Recruiting
Study contacts
- Study coordinator: Minghao Hu
- Email: huminghao2010@126.com
- Phone: 8613396366466
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.