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CLEARLY

Validation of multiparametric models and Circulating and imaging biomarkers to improve Lung cancer EARLY detection.

JTC 2016 Finished

Validation of multiparametric models and Circulating and imaging biomarkers to improve Lung cancer EARLY detection.

Project information

Acronym CLEARLY
Call JTC 2016
Joint Call (JTC 2016)
Duration 36 months
Coordinator GIULIA VERONESI
Institution IRCCS, Istituto Clinico Humanitas - Humanitas Mirasole SPA
Coordinator country IT
Cancer type Lung

Abstract

Lung cancer is an aggressive disease with a high fatality rate; early diagnosis through screening is therefore paramount. Current strategies relying on Low-Dose Computed Tomography (LDCT), still show certain false positives rates, thus effective and validated methods to assist LDCT for early detection and to increase treatment efficacy are strongly needed to reduce mortality. Recently, non-invasive approaches based on biomarkers were proposed as promising for early detection and for informing on acquired cancer mutations involved in resistance to chemotherapy. However, translation into preventive and clinical care is yet unfulfilled due to insufficient validation.
CLEARLY will focus on validation of a multifactorial "bio-radiomic" protocol for early diagnosis of lung cancer that combines circulating biomarkers and radiomic analysis. We will (a) assess the role of molecular and cellular biomarkers (exosomes, protein signatures, CTCs, microRNA) and radiomic signature, as complementary to assist early detection of lung cancer by 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.
In a 2 years prospective study we will enrol, 150 lung tumor patients from Italy and Poland, 120 matched high-risk controls and additional 30 stage IV patients, collect biological samples and LDCTs, and evaluate biomarkers in blood and radiomic features in LDCTs. Radiomic signatures will be further validated in an independent screening dataset from NELSON study. Statistical methods will validate the combined signatures. The available sample size is calculated to allow a statistical power sufficient to identify predictive biomarker signatures with a p-value < 0.05.
Clinical endpoints are: to increase accuracy of lung cancer screening to facilitate large-scale implementation and improve target treatments of patients with advanced lung cancer.
Translational endpoints are: to validate effective biomarkers and radiomics signature for lung cancer early detection, to refine liquid biopsy using CTC for advanced cancer.
We expect that the study will produce and validate a bio-radiomic protocol for lung cancer screening, will characterize the genetic features of CTCs and exosomal protein antigens and explore their theranostic potential. These results, achieved by a transnational team of internationally recognized high-profile scientists, will accelerate the undertaking of lung cancer screening programs in Europe. The proposed biomarkers and methods could increase the ratio of screening positive cancer diagnosis, facilitate selection of screening candidates and help development of molecularly targeted drugs to stop lung cancer progression.

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Countries involved

5
DE FR IT NL PL

Funding organisations

6

Consortium partners

7 participants
Role Participant Organisation City Country
Coordinator DR. GIULIA VERONESI IRCCS, Istituto Clinico Humanitas - Humanitas Mirasole SPA Rozzano (Milan) IT
Partner PROF. THOMAS DANDEKAR University of Würzburg D-97074 Würzburg DE
Partner PROF. PATRIZIA PATERLINI University Paris Descartes 75993 PARIS CEDEX 14 FR
Partner DR. Fabrizio Bianchi Fondazione Casa Sollievo della Sofferenza - IRCCS San Giovanni Rotondo (FG) IT
Partner PROF. HARRY DE KONING Erasmus MC, University Medical Center Rotterdam 3015 CN Rotterdam NL
Partner PROF. PHILIPPE LAMBIN Maastricht University 6229 ET Maastricht NL
Partner Prof. WITOLD RZYMAN Medical University of Gdansk Gdansk 80-214 PL