I3LUNG: Integrative Science, Intelligent Data Platform for Individualized LUNG Cancer Care With Immunotherapy
Part of paid clinical trials in Chicago, Illinois.
- Sponsor
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano
- Study ID
- NCT05537922
- Status
- Recruiting
Conditions
- Lung Adenocarcinoma
- Lung Cancer Metastatic
- Lung Cancer, Nonsmall Cell
- Non Small Cell Lung Cancer
Eligibility Criteria
- Sex
- ALL
- Age
- 18 Years - N/A
- Healthy Volunteers
- Not accepted
Study Details
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.
Key Dates
- Start date
- Oct 1, 2022
- Status verified
- Jan 2023
- Primary completion
- Oct 1, 2025
- Completion
- Oct 1, 2027
Study Design
- Enrollment
- 2,200 participants (estimated)
Arms
- Arm: Retrospective CohortThis cohort includes the analysis of a multicentric retrospective cohort of more than 2,000 patients. This cohort will be used to perform a preliminary knowledge extraction phase and to build a retrospective predictive model for IO (R-Model). All available clinical data will be collected. Also, CT and PET scans will be collected and a first radiomic signature.
- Arm: Prospective CohortThe prospective part of the project includes the collection and the analysis of multi-OMICs data from a multicentric prospective cohort of about 200 patients.
Primary Outcome Measure
Response Rate [ Time Frame: 8 weeks (i.e. first radiological evaluation) ]
Central Contacts
- Arsela Prelaj, MD+39 022390 3647
Locations (1)
| Facility | City | State | ZIP | Site coordinators |
|---|---|---|---|---|
| University of Chicago | Chicago | Illinois | 60637 | Marina Garassino |
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