2023 World Conference on Lung Cancer (Posters)-EP06.03. Atlas: Italian Knowledge Based Database for Biomarkers Analysis In NSCLC Patients

Pdf Summary

The Italian Knowledge Based Database for Biomarkers Analysis in NSCLC Patients, known as ATLAS, is a database system developed to integrate pathological, molecular, and clinical data from real-world national series of lung cancer patients. The database aims to support healthcare personnel involved in molecular analysis of actionable biomarkers in non-small cell lung cancer (NSCLC) patients. The database visualizes molecular data matched with five different clinical categories to improve the representation of real-world data.<br /><br />The study collected and annotated a total of 1082 molecular records from NSCLC patients, including wild-type and actionable molecular alterations, from January 2019 to December 2020. The molecular records included mutations in genes such as EGFR, KRAS, BRAF, ALK, RET, ROS1, NTRK, and MET exon 14 skipping. The database also analyzed four clinical categories, including age, smoking status, histological type, and therapy, in conjunction with molecular results.<br /><br />The results showed that most of the patients were male and between the ages of 60-80 years. Adenocarcinoma was the most common histological type, followed by squamous cell carcinoma and not otherwise specified (NOS). Some patients were never smokers, while others were current or former smokers. The database also recorded the patients' treatment, including target therapy, chemotherapy, immunotherapy, and chemo-immunotherapy.<br /><br />The Biomarkers Atlas will continue to annotate real-world data from a total of 23 Italian institutions throughout 2023. Each mutation reported in the database is connected to references in PubMed and clinicaltrials.gov. The database aims to provide a comprehensive and up-to-date resource for healthcare professionals involved in the treatment and management of NSCLC patients based on their molecular profiles.

Asset Subtitle

Umberto Malapelle

Meta Tag

Speaker Umberto Malapelle

Topic Pathology & Biomarkers: Genetic Biomarkers

Keywords

ATLAS

lung cancer

molecular alterations

NSCLC patients

real-world data

histological type

target therapy

chemotherapy

immunotherapy

molecular profiles