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Clinical Trials/NCT04323579
NCT04323579UnknownNot Applicable

Validation of Multiparametric Models and Circulating and Imaging Biomarkers to Improve Lung Cancer EARLY Detection.

Istituto Clinico Humanitas1 site in 1 country2,000 target enrollmentStarted: July 1, 2018Last updated:
Conditions

Trial Snapshot

Phase
Not Applicable
Sponsor
Enrollment
2,000
Locations
1
Primary Endpoint
Validation of the role of a bio-radiomic protocol as complementary tool to assist early detection of lung cancer by LDCT

Study Overview

Brief Summary

CLEARLY will focus on validation of a multifactorial "bio-radiomic" protocol for early diagnosis of lung cancer that combines circulating biomarkers and radiomic analysis. It will (a) assess the role of molecular and cellular biomarkers (exosomes, protein signatures, circulating tumor cells - CTCs, microRNA) and radiomic signature, as complementary to assist early detection of lung cancer by low dose computed tomography-LDCT, using bioinformatics techniques; (b) assess the prognostic role of CTCs including the role of cells epithelial mesenchymal transition (EMT) and (c) standardize a method for genomic analysis of CTCs for early detection of treatment resistance.

Study Design

Study Type
Observational
Observational Model
Case Control
Time Perspective
Prospective

Eligibility Criteria

Ages
55 Years to — (Adult, Older Adult)
Sex
All
Accepts Healthy Volunteers
Yes

Inclusion Criteria

  • Age ≥ 55 years old and exposure to smoking more than 30 packs-year; which corresponds to 6-year risk of lung cancer, calculated according to the plco score (≥ 2%).
  • Smoker or former smoker Former smokers must have ceased smoking within the 15 years prior to enrollment in the study.
  • Absence of symptoms of lung cancer such as worsening of cough, hoarseness, hemoptysis and weight loss.

Exclusion Criteria

  • Previous diagnosis of lung cancer.
  • Positive extrapulmonary cancer history in the last 5 years (excluding in situ tumors or skin epidermoid tumor).
  • Performing a chest CT scan in the last 18 months.
  • Severe lung or extrapulmonary diseases that may preclude or invalidate appropriate therapy in case of diagnosis of malignant pulmonary neoplasia.

Outcomes

Primary Outcomes

Validation of the role of a bio-radiomic protocol as complementary tool to assist early detection of lung cancer by LDCT

Time Frame: 01 July 2018 - 01 July 2021

CTC analysis will be performed using fresh plasma samples. Blood collection will be obtained for each lung cancer patient before and after surgery and once for controls. 45- and 16-miRNA signatures will be analyzed on plasma samples of the retrospective cohort (150 lung cancer patients and 120 matched controls). We will perform the exosome antigens analysis in the retrospective cohort. We will validate the 8-protein signature in the retrospective cohort. We will validate the radiomic signature on CT images, and further validation will be performed on CT images of the prospective cohorts collected and 70 screened individuals of the retrospective cohort. We will integrate results of biomarkers and radiomic data and will build a multiparametric risk model to improve early detection of lung cancer. The final predictive model will be then applied to the cohorts analysed and integrated with LDCT results to evaluate the improvement in diagnostic accuracy.

Secondary Outcomes

  • Correlation of CTC spread to angiogenesis.(01 July 2018 - 01 July 2021)
  • Assessment of epithelial mesenchymal transition (EMT) in CTC as a hallmark of poor prognosis.(01 July 2018 - 01 July 2021)
  • Standardise a method for genomic analysis from isolated CTCs for the early detection of resistance to treatments(01 July 2018 - 01 July 2021)

Investigators

Sponsor
Istituto Clinico Humanitas
Sponsor Class
Other
Responsible Party
Sponsor

Study Sites (1)

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