Building a national network for lung cancer treatment in Italy
Official title: APOLLO 11, Consortium of Italian Centers Involved in Treatment of Patients With Lung Cancer Treated With Innovative Therapies: Real World Data and Translational Reaserch
Run by Fondazione IRCCS Istituto Nazionale dei Tumori, Milano · NCT05550961 · Data updated 2026-11-12
This study is trying to create a nationwide network in Italy to gather information and improve treatments for advanced lung cancer patients using new therapies like immunotherapy.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 1200 (estimated) |
| Sponsor | Fondazione IRCCS Istituto Nazionale dei Tumori, Milano Academic / other |
| Drugs / interventions | chemotherapy, immunotherapy |
| Locations | 1 site (Milan) |
| Status | Recruiting |
| Started | October 1, 2022 |
| Main results expected | October 1, 2027 |
| Study ends | October 1, 2032 |
| Registry record updated | October 23, 2023 |
| Trial ID | NCT05550961 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are adults aged 18 and older with histologically or cytologically confirmed lung cancer who are receiving or have received innovative therapies.
✕Probably not a fit
Patients who have only undergone local treatments or standard chemotherapy, or those taking unapproved antineoplastic therapies, may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
The APOLLO 11 initiative aims to establish a comprehensive network across approximately 48 Italian centers to collect real-world data and conduct translational research on lung cancer. This project focuses on advanced lung cancer patients receiving innovative therapies, including immunotherapy and targeted treatments. By creating a decentralized national database and a virtual biobank, the study seeks to enhance the understanding of prognostic and predictive biomarkers, particularly in the context of immunotherapy. The integration of artificial intelligence will facilitate the development of algorithms for personalized treatment predictions.
Why it matters
Potential benefit: If successful, this initiative could significantly improve treatment outcomes for lung cancer patients by identifying effective biomarkers and optimizing therapy selection.
How similar studies have gone: Other studies utilizing real-world data and translational research in lung cancer have shown promise, indicating that this approach could yield valuable insights.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Provision of signed and dated written informed consent, when applicable, by the patient or legally acceptable representative prior to any mandatory study-specific procedures, sampling, and analyses; 2. Patients must be ≥18 years of age at the time of signing the informed consent; 3. Histologically or cytologically confirmed lung cancer (NSCLC or SCLC) at any stage (I-IV) candidate to receive or already treated with innovative therapies (ICIs, target therapies and next generation therapies). Exclusion Criteria: 1. Patients who are or will be taking other unapproved antineoplastic therapies concurrently are not eligible. 2. Patients who have not received an oncological systemic innovative therapy at any setting 3. Patients received only local treatments (e.g., only surgery, or only radiotherapy) 4. Patients who received only standard chemotherapy are excluded. 5. Patients who received treatment therapies before 2010 are excluded.
Where it's running
-
Fondazione IRCCS Istituto Nazionale dei Tumori
Milan, Italy Recruiting
Study contacts
- Principal investigator: Carlo Genova — IRCCS Ospedale Policlinico San Martino, Genova
- Study coordinator: Arsela Prelaj, M.D.
- Email: arsela.prelaj@istitutotumori.mi.it
- Phone: +390223903647
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.