Digital tEchnology For Lung Cancer Treatment

The aim of the DEFLeCT project (Digital tEchnology For Lung Cancer Treatment) is to generate a technological platform for precision medicine in order to set predictive personalised algorithms for patient diagnosis and therapy. All resectable patients having histologically confirmed stage IB-IIIA non-small cell lung cancer(NSCLC) will be enrolled in the PROMOLE study, a related and ongoing observational prospective clinical study, for tissue sampling. A large biobank of lung cancer samples and the corresponding healthy tissues and biological components (ie, blood, stools, etc.) with complete clinical, pathological and molecular information will be collected. The project will lay the basis of a knowledge hub and qualified technology aimed not only at answering the medical and scientific community's questions, but also meant to be useful to individual patients by predicting the response to adjuvant and second-line drugs in case of relapse of the disease.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 1 Publication

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001010838	DEFLeCT metadata: 1) A table containing the mutational profile for all human genes across the cohort of the 81 PROMOLE lung cancer samples. 2) A table containing the expression levels for all human genes across the cohort of the 81 PROMOLE lung cancer samples. 3) A table containing the clinical, histology data and follow-ups of the cohort of 81 PROMOLE lung cancer patients.		1

Publications	Citations
Consensus clustering methodology to improve molecular stratification of non-small cell lung cancer. Manganaro L, Bianco S, Bironzo P, Cipollini F, Colombi D, Corà D, Corti G, Doronzo G, Errico L, Falco P, Gandolfi L, Guerrera F, Monica V, Novello S, Papotti M, Parab S, Pittaro A, Primo L, Righi L, Sabbatini G, Sandri A, Vattakunnel S, Bussolino F, Scagliotti GV. Sci Rep 13: 2023 7759	3