At a glance
ClinicalIndex Comparison Record- ✓Age 18 years or older
- ✓ECOG performance status 0, 1, or 2
- ✓Histologically confirmed stage IIIB/C-IV NSCLC
- ✓Retrospective cohort: prior immunotherapy (including Durvalumab maintenance allowed)
- ✕Retrospective cohort: insufficient minimal treatment information data
- ✕Prospective cohort: prior treatment for advanced disease
- ✕Unable to comply with study procedures including QoL questionnaires
Standardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.
NCT05537922N/ARecruitingUpdate OverdueUpdated 41mo ago · Completion was 9mo agoI3LUNG: Integrative Science, Intelligent Data Platform for Individualized LUNG Cancer Care With Immunotherapy
In Brief
An observational study for Non Small Cell Lung Cancer and 3 related conditions. Currently recruiting, targeting 2,200 participants across 4 sites in 4 countries.
Signals
Detailed Summary
I3LUNG is an international project aiming to develop a medical device to predict immunotherapy efficacy for NSCLC patients using the integration of multisource data (real word and multi-omics data). This objective will be reached through a retrospective - setting up a transnational platform of available data from 2000 patients - and a prospective - multi-omics prospective data collection in 200 NSCLS patients - study phase. The retrospective cohort will be used to perform a preliminary knowledge extraction phase and to build a retrospective predictive model for IO (R-Model), that will be used in the prospective study phase to create a first version of the PDSS tool, an AI-based tool to provide an easy and ready-to-use access to predictive models, increasing care appropriateness, reducing the negative impacts of prolonged and toxic treatments on wellbeing and healthcare costs. The prospective part of the project includes the collection and the analysis of multi-OMICs data from a multicentric prospective cohort of about 200 patients. This cohort will be used to validate the results obtained from the retrospective model through the creation of a new model (P-Model), which will be used to create the final PDSS tool.