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.
The biomarkers ATLAS: An audit on 1100 non-small cell lung cancer from an Italian knowledge-based database / Malapelle, Umberto; Passiglia, Francesco; Pepe, Francesco; Pisapia, Pasquale; Lucia Reale, Maria; Cortinovis, Diego; Fragetta, 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. - In: LUNG CANCER. - ISSN 0169-5002. - (2024). [10.1016/j.lungcan.2024.107787]
The biomarkers ATLAS: An audit on 1100 non-small cell lung cancer from an Italian knowledge-based database
Paolo Graziano;
2024
Abstract
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.File | Dimensione | Formato | |
---|---|---|---|
The biomarkers ATLAS Lung Cancer 2024.pdf
solo gestori archivio
Note: Malapelle_The Biomarkers ATLAS_2024
Tipologia:
Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
2.34 MB
Formato
Adobe PDF
|
2.34 MB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.