AI-HOPE Lung Cancer: Building a Predictive Tool for Metastatic Lung Cancer
The goal of our project is building a predictive response algorithm for patients with metastatic lung cancer, exploiting an artificial intelligence platform. It will collect patient information from all areas (clinical, laboratory, radiological, pathological) and analyse them, understanding connections and correlations, both at baseline and at pre-specified timepoints. It would lead to the development of a reliable and constantly evolving predictive score, able to continuously re-weight the importance of each variable as new data come in.
Since the greatest clinical need is identifying non-responders to immunotherapy and chemo-immunotherapy combination (30% of all treated patients), these two populations are defined as the starting cohorts (Cohort A, immunotherapy alone, Cohort B, chemo-immunotherapy combinations).
For each cohort, three main questions are to be answered:
Q1) Early progressors (defined as progressive disease or death within three months of treatment or at first radiological restaging) Q2) Toxicity (with a special focus on severe toxicities G≥3) Q3) Long survivors (defined as patients reaching an overall survival of at least 1.5x median overall survival in registrative trials)
The early identification of non-responders, high-risk patients (or on the other hand, long survivors) would help their healthcare planning, providing individualised follow-up strategies or prompting their inclusion in alternative treatments (eg clinical trials).
For all cohorts, first data entry will be retrospective and second data entry will be prospective (as validation set).
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Francesca Rita Ogliari, MD
- Phone Number: 0039 02 2643 2643
- Email: oncologia.medica@hsr.it
Study Contact Backup
- Name: Clinical Trial Center OSR
- Email: ctc.trialmanagement@hsr.it
Study Locations
-
-
-
Milan, Italy, 20132
- Recruiting
- Francesca Rita Ogliari
-
Contact:
- Francesca Rita Ogliari
- Email: oncologia.medica@hsr.it
-
Principal Investigator:
- Francesca Rita Ogliari
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion criteria:
- Patients with histological or cytological diagnosis of NSCLC
- Stage IV according to investigator's staging procedures (or any locally advanced tumour not feasible for local radical treatment)
- Treatment with at least 1 cycle of mono-immunotherapy or chemo-immunotherapy (as per clinical practice)
- Availability of follow-up
Exclusion criteria:
- Patients with other thoracic tumours non-NSCLC (i.e. SCLC)
- Stage other than IV or feasible for radical treatment upfront
- Treatment within clinical trials (with combination regimens different from the aforementioned combinations)
- Lost to follow-up
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Mono-immunotherapy
Patients with NSCLC stage IV treated with immunotherapy alone as first-line treatment
|
First-line regimen according to clinical practice
|
|
Chemo-immunotherapy
Patients with NSCLC stage IV treated with chemo-immunotherapy as first-line treatment
|
First-line regimen according to clinical practice
First-line regimen according to clinical practice
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Early progressive disease
Time Frame: From date of enrolment until the date of first documented disease progression or death, whichever comes first, assessed within 8 to 12 weeks from first-line treatment start
|
Number of patients experiencing progressive disease (PD) as best response to first-line treatment
|
From date of enrolment until the date of first documented disease progression or death, whichever comes first, assessed within 8 to 12 weeks from first-line treatment start
|
|
Lung toxicity
Time Frame: From date of enrolment until the date of first documented immune-related pneumonitis of G3 or more, assessed up to 96 months
|
Number of patients experiencing immune-related pneumonitis of G3 or more
|
From date of enrolment until the date of first documented immune-related pneumonitis of G3 or more, assessed up to 96 months
|
|
Long survivors
Time Frame: At a 3-year cut-off
|
Numbero of patients experiencing an overall survival (time from treatment initiation to death) longer than 3 years (1.5x median overall survival from clinical trials)
|
At a 3-year cut-off
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- AI-HOPE
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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