Efficacy of Re-challenge With Immune-Checkpoints Inhibitors in Advanced Non-Small-Cell Lung Cancer Patients: a Retrospective Observational Study
NCT ID: NCT04069663
Last Updated: 2020-03-30
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
144 participants
OBSERVATIONAL
2019-01-22
2019-10-15
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Experiences w/ & Attitudes Towards Immune Chckpt Inhibitors in NSCLC Patients Single Center Survey Based Study
NCT07339254
A Study Evaluating the Efficacy and the Safety of First-line Chemotherapy Combined With the Therapeutic Vaccine Named TG4010 and Nivolumab in Patients With Advanced Non-squamous Non-Small Cell Lung Cancer (NSCLC)
NCT03353675
Cohort of Patients With NSCLC Treated With Nivolumab Under the ATU Program
NCT02933346
Clinical Outcomes of Patients With Resectable Non-Small Cell Lung Cancer Receiving Neoadjuvant Nivolumab Plus Chemotherapy in France
NCT06735781
A Study of Nivolumab in Participants With Locally Advanced or Metastatic (Stage IIIB-IV) Non-Small Cell Lung Cancer (NSCLC) With Squamous and Non-Squamous Histology After Prior Chemotherapy Treated in Real World Settings in Greece and Cyprus
NCT05034926
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
To date, no studies have reported the clinical benefit of ICP re-challenge in patients with advanced NSCLC. The effectiveness and tolerance of the re-challenge strategy with the same or another ICP remains therefore a major issue.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
RETROSPECTIVE
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
No interventional study
Retrospective data analysis
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Advanced disease (stage III-IV) according to the TNM 7th /8th edition classification at the beginning of first ICP
* Patients must have received at least two lines of ICP during their history of disease
* Patients with EGFR mutation and/or ALK translocation must have received all specific target agents regularly reimbursed (during the reporting period) prior to the first PCI
Exclusion Criteria
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Bristol-Myers Squibb
INDUSTRY
University Hospital, Grenoble
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Elisa Gobinni, MD
Role: STUDY_DIRECTOR
University Hospital, Grenoble
Matteo Giaj Levra, pHD
Role: PRINCIPAL_INVESTIGATOR
University Hospital, Grenoble
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
University Hosipital, Grenoble
La Tronche, Isère, France
Countries
Review the countries where the study has at least one active or historical site.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
38RC19.005
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.