Validation of multiparametric models and Circulating and imaging biomarkers to improve Lung cancer EARLY detection.
Project information
Abstract
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
5Funding organisations
6Consortium 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 |