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Prediction of Outcome to Neoadjuvant Therapy in Non-small Cell Lung Cancer(NSCLC)

A Study on Multimodal Data Prediction of Outcome to Neoadjuvant Therapy in NSCLC

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07388771
Enrollment
500
Registered
2026-02-05
Start date
2025-12-01
Completion date
2026-10-01
Last updated
2026-03-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Neoadjuvant Therapy, NSCLC

Brief summary

This observational study aims to construct and validate the performance of a multimodal predictive model in forecasting the outcomes of neoadjuvant therapy in patients with NSCLC. The core research question is: Can a multi-model approach predict outcomes of neoadjuvant therapy for non-small cell lung cancer and provide clinical recommendations?

Interventions

None listed

Sponsors

Qian Chu
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frame
pathologic responsePerioperative

Secondary

MeasureTime frameDescription
EFSOne year after the treatment endedevent free survival

Countries

China

Contacts

CONTACTMinghao Hu
huminghao2010@126.com8613396366466

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 20, 2026