Incidence and Characterization of Drivers Oncogenes in the Population With Lung Cancer Afferents to the Cancer Institute in Aviano (IN.ON.D.) (INOND)

December 21, 2023 updated by: Centro di Riferimento Oncologico - Aviano

Incidence and Characterization of Drivers Oncogenes in the Population With Lung Cancer Afferents to the Cancer Institute in Aviano (IN.ON.D)

According to an analysis by Memorial Sloan Kettering Cancer Center patients who receive a target therapy having an oncogenic driver mutation live longer than those who do not receive it. In addition to that, therapies guided by analysis on mutations identified in ct-DNA had a favorable impact, allowing longer survival. All this suggests that the presence of a therapeutically targetable oncogene (oncogene addicted) allows target therapy, resulting in a longer life expectancy. The main objective of this study is to evaluate the frequency of patients with oncogene addiction in a consecutive series of patients with NSCLC afferent to the CRO. Oncogene addiction is defined as being carriers of one of the mutations among EGFR, ALK, RET, KRAS, BRAF, Her2, ROS1, MET or other mutations that become therapeutic targets under investigation.

Study Overview

Status

Not yet recruiting

Detailed Description

According to an analysis by Memorial Sloan Kettering Cancer Center patients who receive a target therapy having an oncogenic driver mutation live longer than those who do not receive it. In addition to that, therapies guided by analysis on mutations identified in ct-DNA had a favorable impact, allowing longer survival. All this suggests that the presence of a therapeutically targetable oncogene (oncogene addicted) allows target therapy, resulting in a longer life expectancy. The main objective of this study is to evaluate the frequency of patients with oncogene addiction in a consecutive series of patients with NSCLC afferent to the CRO. Oncogene addiction is defined as being carriers of one of the mutations among EGFR, ALK, RET, KRAS, BRAF, Her2, ROS1, MET or other mutations that become therapeutic targets under investigation.

Study Type

Observational

Enrollment (Estimated)

700

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Pordenone
      • Aviano, Pordenone, Italy, 33081
        • Centro di Riferimento Oncologico (CRO) di Aviano - IRCCS
        • Contact:
        • Principal Investigator:
          • Alessandro Del Conte, MD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

The population consists of patients with NSCLC who are afferent to the CRO. All patients who give their consent to participate in the study.

Description

Inclusion Criteria:

  • First visit or first admission to CRO occurred in the period from September 2023 to September 2028
  • Diagnosis of NSCLC any stage

Exclusion Criteria:

- Diagnosis of tumor not of certain lung origin (uncertain origin)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
To evaluate the frequency of patients with oncogene addiction in a consecutive series of patients afferent to the CRO with NSCLC.
Time Frame: up to 15 years
Frequency of patients carriers of one of the mutations among EGFR, ALK, RET, KRAS, BRAF, Her2, ROS1, MET
up to 15 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Frequency of mutations according to tumor histotype (squamous and nonsquamous)
Time Frame: up to 15 years
Frequency of selected mutations according to tumor histotype (squamous and nonsquamous)
up to 15 years
Evaluate trend of mutations over time
Time Frame: up to 15 years
Frequency of patient carrying one target mutation in each study year
up to 15 years
Compare PFS in new patients with and without oncogene addiction
Time Frame: up to 15 years
Difference in PFS probability between patients with and without oncogene addiction (carrier of a targetable mutation). PFS will be defined as the time between enrollment in the study (first visit) and progression or death from any cause, whichever happens first, or the end of the study
up to 15 years
Compare OS in new patients with and without oncogene addiction
Time Frame: up to 15 years
Difference in OS probability between patients with and without oncogene addiction (carrier of a targetable mutation). OS will be defined as time between enrollment in the study (first visit) and death from any cause or the end of the study
up to 15 years
Assess OS in different mutation types, stratifying by histotype
Time Frame: up to 15 years
Describe OS probability in different mutation types, stratifying by histotype. OS will be defined as time between enrollment in the study (first visit) and death from any cause or the end of the study
up to 15 years
Assess PFS in different mutation types, stratifying by histotype
Time Frame: up to 15 years
Describe PFS probability in different mutation types, stratifying by histotype. PFS will be defined as the time between enrollment in the study (first visit) and progression or death from any cause, whichever happens first, or the end of the study
up to 15 years
Assess the frequency of different types of molecular alterations and possible new target alterations
Time Frame: up to 15 years
Frequency of different types of targetable molecular alterations, including possible new target alterations emerging during study period
up to 15 years

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Assess the feasibility of developing Neural Language Processing (NLP) algorithms for the extraction of structured data from unstructured texts and verify the reliability of the results
Time Frame: up to 15 years
Key information to identify in the unstructured text will be defined and frequency of correct identification will be reported
up to 15 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Alessandro Del Conte, MD, Centro di Riferimento Oncologico di Aviano (CRO) - IRCCS
  • Study Director: Alessandra Bearz, MD, Centro di Riferimento Oncologico di Aviano (CRO) - IRCCS

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

January 2, 2024

Primary Completion (Estimated)

January 2, 2039

Study Completion (Estimated)

December 30, 2039

Study Registration Dates

First Submitted

December 11, 2023

First Submitted That Met QC Criteria

December 21, 2023

First Posted (Actual)

December 22, 2023

Study Record Updates

Last Update Posted (Actual)

December 22, 2023

Last Update Submitted That Met QC Criteria

December 21, 2023

Last Verified

December 1, 2023

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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