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RecruitingNCT05550961Updated Oct 23, 2023

APOLLO 11, Consortium of Italian Centers Involved in Treatment of Patients With Lung Cancer Treated With Innovative Therapies: Real World Data and Translational Reaserch

An observational study in NSCLC, Cancer and Lung Cancer, sponsored by Fondazione IRCCS Istituto Nazionale dei Tumori, Milano. Recruiting at 1 site in Italy. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2023-10-23.

Sponsored by Fondazione IRCCS Istituto Nazionale dei Tumori, Milano · Observational

From the registry’s dates

  • Started Oct 2022; still recruiting 4 years later.
Study type
Observational
Model
Cohort
Time perspective
Other
Enrollment
1,200
Ages
18 Years and older
Sex
All
01

Study summary

APOLLO 11 main aim is to build a strong Italian long-lasting lung cancer network (in around 48 Italian centres) on real world data and translational research by creating a decentralized long-term national database (settle locally in each centre) and a "virtual" multilevel biobank in each centre. Besides, APOLLO 11 will take advantage of the translational research joint effort with the credo "unity is strength".

Read the detailed description

With the advent of several innovative therapies ("target" therapies, immunotherapy (IO) and/or next generation therapies), the identification of prognostic/predictive and/or resistance biomarkers represents the main goals of translational research in advanced lung cancer (aLC). In particular, with the arrival of IO the treatment landscape of advanced Non-Small Cell Lung Cancer (NSCLC) patients (pts), have radically changed prolonging significantly the overall survival (OS). The role of Programmed Death Ligand 1 (PD-L1) remains undefined and to date no other biomarker are used to select patients for IO. Artificial Intelligence (AI) frameworks, which synthesize and correlate information from different data sources, is a potentially highly efficient instrument to construct algorithms reinforcing the individualized prediction.

APOLLO 11 main aim is to build a strong Italian long-lasting lung cancer network (in around 48 Italian centres) on real world data and translational research by creating a decentralized long-term national database and a "virtual" multilevel biobank. This will allow to avoid worthless dispersion of single institution data, which often remaine unused and inconclusive due to limited number of patients and low statistical power. Besides, APOLLO 11 will take advantage of the translational research joint effort with the credo "unity is strength". The multilevel structure is designed also for smallest centres of give them possibility to contribute to biobank looking at their internal facilities.

APOLLO 11 have the goal to establish the consortium by fully activating at least 20 of the 48 involved centres able to collect data within the database and to guarantee the activation ready for at least 10 biobanks able to collect samples (tumour tissue, blood, stool and urine). Moreover, the key scientific aim of the project is to provide answers about aNSCLC pts treated with IO. In particular, try to find a "software" biomarker able to better predict IO selection compare to standard of care single biomarker (e.g., PD-L1, TMB) using artificial intelligence/machine/deep learning (AI/DL/ML) methodologies. Real world (demographic, histology, PD-L1, molecular, treatment and outcomes information etc), radiomics and where available (from previous researches) multiomic data from all the activated centres will be collected. Furthermore, single-cell RNA sequencing (scRNA seq) analysis will be carry out. Finally, AI/ML/DL will be used to integrate the multisource data, analyse them and develop predictive algorithms of IO efficacy in NSCLC pts. Explainable trustworthy AI (XAI) methodology will be used in order to better understand black box for explaining clinical and biological insight.

02

Conditions studied

  • NSCLC
  • Cancer
  • Lung Cancer
  • Adenocarcinoma of Lung
  • Squamous Cell Lung Cancer

Keywords

  • #NSCLC
  • #Immunotherapy
  • #Targeted Therapy
  • #Artificial Intelligence
03

In context

Neoplasms

9,610 studies on the registry are indexed under Neoplasms; 2,508 are open to participants now.

This study's planned enrollment of 1,200 is above the median of 202 across 1,742 observational studies indexed under Neoplasms.

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Lead sponsor

Fondazione IRCCS Istituto Nazionale dei Tumori, Milano is the lead sponsor of 172 studies on the registry; 50 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Probability sample

Study population

Patients with NSCLC treated with innovative therapies in different Italian Centers will be enrolled in retrospective and prospective cohorts.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

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

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.
05

Study design

Observational model
Cohort
Time perspective
Other
Enrollment
1,200 participants (estimated)
Patient registry
No

Groups and cohorts

  • Retrospective Cohort

    About 1000 patients with NSCLC pre-treated with innovative therapy (e.g. immunotherapy, targeted therapy) will be included.

  • Prospective Cohort

    About 200 patients with NSCLC planned to start an innovative therapy (e.g. immunotherapy, targeted therapy) will be included.

06

What researchers measure

Primary outcomes

  1. Response Rate

    Prediction of response to innovative therapies in NSCLC patients

    Time frame: About 8 weeks (first radiological evaluation)

  2. Progression-Free Survival

    Prediction of Progression-Free Survival in NSCLC patients treated with innovative therapies

    Time frame: From data of enrollment until the date of first documented progression or date of death from any cause, whichever come first, assessed up to 120 months

  3. Overall Survival

    Prediction of Overall Survival in NSCLC patients treated with innovative therapies

    Time frame: From data of enrollment until the date of death from any cause, assessed up to 120 months

07

Study locations

1 of 1 sites recruiting
  • Fondazione IRCCS Istituto Nazionale dei Tumori
    Milan, Italy
    • Arsela Prelaj, MD · Contact
    Recruiting
08

References and documents

Study documents

  • Study protocol · May 22, 2022

Documents are hosted by the registry — open the source record to download them.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Oct 23, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05550961
Collaborators
Politecnico di Milano, Ospedale Policlinico San Martino, Insieme per i Pazienti di Oncologia Polmonare Onlus (IPOP), ASST Grande Ospedale Metropolitano Niguarda, University of Campania Luigi Vanvitelli, Azienda Ospedaliera dei Colli, Fondazione IRCCS Policlinico San Matteo di Pavia, Azienda Ospedaliera S. Maria della Misericordia, Azienda Ospedaliera "Sant'Andrea", Azienda Ospedaliero Universitaria, Santa Maria della Misericordia di Udine, Italy, IRCCS Sacro Cuore Don Calabria di Negrar, Azienda Ospedaliero, Universitaria Ospedali Riuniti, Istituto Clinico Humanitas, Azienda Unità Sanitaria Locale della Romagna, Istituti Ospitalieri di Cremona
Responsible party
Arsela Prelaj (Principal Investigator, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano) — Principal investigator
First posted
Sep 22, 2022
Start date
Oct 1, 2022
Primary completion
Oct 1, 2027 (estimated)
Completion
Oct 1, 2032 (estimated)
Last update
Oct 23, 2023

Study contacts

Arsela Prelaj, M.D.
Contact
arsela.prelaj@istitutotumori.mi.it
+390223903647
Carlo Genova
principal investigator · IRCCS Ospedale Policlinico San Martino, Genova
Diego Signorelli
principal investigator · ASST Grande Ospedale Metropolitano Niguarda, Milano
Carminia Maria Della Corte
principal investigator · Azienda Ospedaliera Universitaria - Università degli Studi della Campania "Luigi Vanvitelli", Napoli
Giuseppe Viscardi
principal investigator · Ospedale Monaldi, Azienda Ospedaliera Dei Colli, Monaldi, Napoli
Giulia Galli
principal investigator · Fondazione IRCCS Policlinico San Matteo di Pavia
Giulio Metro
principal investigator · Azienda Ospedaliera Santa Maria della Misercordia, Perugia
Raffaele Giusti
principal investigator · Azienda Ospedaliera Univesitaria S. Andrea, Roma
Marianna Macerelli
principal investigator · Azienda Ospedaliero-Universitaria Santa Maria Della Misericordia, Udine
Alessandro Inno
principal investigator · IRCCS Ospedale sacro Cuore Don Calabria NEGRAR
Rossana Berardi
principal investigator · A.O. universitaria Ospedali Riuniti di Ancona
Luca Toschi
principal investigator · Fondazione IRCCS Istituto clinico Humanitas
Michela Spreafico
principal investigator · Azienda Unità Sanitaria Locale della Romagna
Nicoletta Nanni
principal investigator · ASST Ospedale Cremona

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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