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Characteristics of Advanced LUNG CANCER at the tIme of Diagnosis in a Large Italian Cohor

Demographic, Clinical, Histological and Molecular Characteristics of Advanced LUNG CANCER at the tIme of Diagnosis in a Large Italian Cohort, an Observational Cohort Study: Lung Cancer ID Study

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06076005
Acronym
LUNG-CANCER
Enrollment
1000
Registered
2023-10-10
Start date
2023-11-01
Completion date
2026-08-31
Last updated
2025-09-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Lung Cancer Stage IV

Brief summary

The distribution of demographic, clinical, radiological, pathological and molecular characteristics of lung cancer at the time of diagnosis, as well as preferential association between elements of those domains, have not been specifically studied in Italy. The aim of the present project is to assess, in a systematic fashion, the demographic, clinical, radiological, pathological and molecular characteristics of advanced lung cancer at the time of diagnosis in a large Italian cohort of consecutive patients referred to two tertiary referral centers.

Interventions

OTHERAdvanced lung cancer patients' group

Evaluation of the demographic, clinical, histological and molecular characteristics of advanced lung cancer at the time of Diagnosis

Sponsors

Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum

Inclusion criteria

* Age \>18 years * Suspicion of lung cancer based on imaging (CT and/or PET/CT) * Indication to a biopsy for diagnosis, staging and/or molecular profiling

Exclusion criteria

* Inability or unwillingness to provide a written informed consent * ECOG performance status (\>3) which makes a tissue diagnosis unfeasible * ASA 4 status * TNM Stage I-III

Design outcomes

Primary

MeasureTime frameDescription
Distribution of histologic subtypes24 monthsThe investigators will assess the prevalence of histologic subtypes in patients with advanced lung cancer

Secondary

MeasureTime frameDescription
Distribution of histologic subtypes according to clinical and radiological characteristics24 monthsThe investigators will assess the prevalence of different histologic subtypes according to clinical and imaging characteristics
Molecular profiling24 monthsPrevalence of individual molecular markers in patients with advanced non-squamous non-small cell lung cancer histology
Time to diagnosis24 monthsTime lag between onset of symptoms (if any) and invasive testing

Countries

Italy

Contacts

Primary ContactRocco Trisolini, MD
rocco.trisolini@policlinicogemelli.it0630154163

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026