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The biomarkers ATLAS: An audit on 1100 non-small cell lung cancer from an Italian knowledge-based database

Authors :
Malapelle, U
Passiglia, F
Pepe, F
Pisapia, P
Lucia Reale, M
Cortinovis, D
Fraggetta, F
Galetta, D
Garbo, E
Graziano, P
Pagni, F
Pasello, G
Piovano, P
Pilotto, S
Tiseo, M
Genova, C
Righi, L
Troncone, G
Novello, S
Malapelle, Umberto
Passiglia, Francesco
Pepe, Francesco
Pisapia, Pasquale
Lucia Reale, Maria
Cortinovis, Diego
Fraggetta, Filippo
Galetta, Domenico
Garbo, Edoardo
Graziano, Paolo
Pagni, Fabio
Pasello, Giulia
Piovano, Pierluigi
Pilotto, Sara
Tiseo, Marcello
Genova, Carlo
Righi, Luisella
Troncone, Giancarlo
Novello, Silvia
Malapelle, U
Passiglia, F
Pepe, F
Pisapia, P
Lucia Reale, M
Cortinovis, D
Fraggetta, F
Galetta, D
Garbo, E
Graziano, P
Pagni, F
Pasello, G
Piovano, P
Pilotto, S
Tiseo, M
Genova, C
Righi, L
Troncone, G
Novello, S
Malapelle, Umberto
Passiglia, Francesco
Pepe, Francesco
Pisapia, Pasquale
Lucia Reale, Maria
Cortinovis, Diego
Fraggetta, Filippo
Galetta, Domenico
Garbo, Edoardo
Graziano, Paolo
Pagni, Fabio
Pasello, Giulia
Piovano, Pierluigi
Pilotto, Sara
Tiseo, Marcello
Genova, Carlo
Righi, Luisella
Troncone, Giancarlo
Novello, Silvia
Publication Year :
2024

Abstract

Aims: To date, precision medicine has revolutionized the clinical management of Non-Small Cell Lung Cancer (NSCLC). International societies approved a rapidly improved mandatory testing biomarkers panel for the clinical stratification of NSCLC patients, but harmonized procedures are required to optimize the diagnostic workflow. In this context a knowledge-based database (Biomarkers ATLAS, https://biomarkersatlas.com/) was developed by a supervising group of expert pathologists and thoracic oncologists collecting updated clinical and molecular records from about 80 referral Italian institutions. Here, we audit molecular and clinical data from n = 1100 NSCLC patients collected from January 2019 to December 2020. Methods: Clinical and molecular records from NSCLC patients were retrospectively collected from the two coordinating institutions (University of Turin and University of Naples). Molecular biomarkers (KRAS, EGFR, BRAF, ROS1, ALK, RET, NTRK, MET) and clinical data (sex, age, histological type, smoker status, PD-L1 expression, therapy) were collected and harmonized. Results: Clinical and molecular data from 1100 (n = 552 mutated and n = 548 wild-type) NSCLC patients were systematized and annotated in the ATLAS knowledge-database. Molecular records from biomarkers testing were matched with main patients’ clinical variables. Conclusions: Biomarkers ATLAS (https://biomarkersatlas.com/) represents a unique, easily managing, and reliable diagnostic tool aiming to integrate clinical records with molecular alterations of NSCLC patients in the real-word Italian scenario.

Details

Database :
OAIster
Notes :
STAMPA, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1434547174
Document Type :
Electronic Resource