Clinical trial Recruiting at 2 sites Observational Ages 18 and up

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.

More NSCLC trials

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment500 (estimated)
SponsorTongji Hospital
Academic / other
Drugs / interventionsimmunotherapy
Locations2 sites (Wuhan, Hubei and 1 other locations)
StatusRecruiting
StartedDecember 1, 2025
Main results expectedOctober 2026
Study endsOctober 2026
Registry record updatedMarch 19, 2026
Trial IDNCT07388771 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

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.