Francesca Rita Ogliari
Milan, 20132, Italy
Location status: Recruiting
NCT Number: NCT06788366
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).
Interested in participating?
Request Info18 year and older
All sexes
Observational
Milan, 20132, Italy
Location status: Recruiting
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
First-line regimen according to clinical practice
First-line regimen according to clinical practice
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
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
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)
Contact information is provided by the study sponsor or research team.
Clinical Trial Center OSR
CONTACT
Francesca Rita Ogliari, MD
CONTACT
IRCCS San Raffaele
Other
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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