Development of Clinical and Biological Database on Bronchial Cancer

Not Applicable

Not yet recruiting

• Conditions: Lung Cancer; Bronchial Cancer
• Interventions: Biological: Blood and tissue sampling

• Registration Number: NCT07085429
• Lead Sponsor: Institut du Cancer de Montpellier - Val d'Aurelle

Brief Summary

A Clinical and Biological Database will provide to the scientific community a collection of blood and tissues with clinical data to improve knowledge about cancer and help to develope new cancer treatments. This database is specific to bronchial cancer.

Detailed Description

Lung cancer is the leading cause of cancer-related mortality and the third most commonly diagnosed cancer. In France in 2018, it accounted for 46,363 new cases and 33,117 deaths. The overall 5-year survival rate across all stages and sexes is 20%.

Diagnosis is most often made at the metastatic stage, which significantly worsens the prognosis. Since 2020, the standard treatment for such cases has been the administration of intravenous chemo-immunotherapy, in the absence of a molecular alteration that allows for access to an oral targeted therapy. Immunotherapy and targeted therapies have considerably improved the prognosis for some patients, but the vast majority experience therapeutic resistance, either early or delayed.

The prognostic and predictive mechanisms of treatment response are poorly understood and vary greatly between histological and molecular subtypes. It is therefore crucial to gain a better understanding of these mechanisms in order to ultimately identify new therapeutic avenues to improve patient outcomes.

The first step in this process is to establish a tissue and blood biobank from patients with bronchial carcinoma (both small-cell and non-small-cell) treated at our center.

The Clinical Biological DataBase (BCB) is a tool:

* for research in analytical and public health epidemiology, biological research and for the development of data useful for clinical research and therapeutic trials;

* to help scientists understand and explain phenomena ranging from the interaction of molecules to the whole metabolism of the organism in normal and pathological situations;

* to identify potential strategies for prevention, diagnosis, management and analysis of cancer subtypes.

Study Timeline

• Status Verified: 2025-07
• Study First Submitted: 2025-07-02
• Study First Submitted QC: 2025-07-17
• Last Update Submitted: 2025-07-17
• Study First Posted: 2025-07-25
• Last Update Posted: 2025-07-25
• Study Start: 2025-09-01
• Primary Completion: 2030-09
• Study Completion: 2040-09-01

Recruitment & Eligibility

• Status: NOT_YET_RECRUITING
• Sex: All
• Target Recruitment: 750

Inclusion Criteria

• Male or female patient aged over 18 years,
• Histologically or cytologically confirmed bronchial cancer,
• Treatment-naïve patient for the current cancer,
• Patient who has provided informed, written, and explicit consent,
• Patient affiliated with the French national health insurance system.

Exclusion Criteria

• Patient with a WHO performance status ≥ 3,
• Pregnant and/or breastfeeding woman,
• Patient with a history of other cancers within the 5 years preceding inclusion,
• Patient for whom regular follow-up is considered impossible due to psychological, familial, social, or geographic reasons,
• Patient under legal protection (guardianship, curatorship, or judicial protection).

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: SINGLE_GROUP

Arm && Interventions

Group	Intervention	Description
Bronchial cancer	Blood and tissue sampling	Additionnal samples from routine care of different natures (blood, tumor tissue ans healthy tissue) and standardized clinical data will be entered into a database.

Primary Outcome Measures

Name	Time	Method
Proportion of patients who consent to participate in the study	through study completion : an average of 1 year	the proportion of patients who consent to participate in the study among the screened patients

Trial Locations

Locations (1)

Centre Regional de Lutte Contre le Cancer - Centre Val d'Aurelle; 🇫🇷 Montpellier, France