Molecular Tumor Board as a Clinical Tool for Converting Molecular Data Into Real-World Patient Care

Andrea Vingiani, Luca Agnelli, Matteo Duca, Daniele Lorenzini, Silvia Damian, Claudia Proto, Monica Niger, Federico Nichetti, Elena Tamborini, Federica Perrone, Alberta Piccolo, Siranoush Manoukian, Jacopo Azzollini, Marta Brambilla, Elena Colombo, Salvatore Lopez, Claudio Vernieri, Francesca Marra, Elena Conca, Adele BusicoIolanda Capone, Fabio Bozzi, Marta Angelini, Andrea Devecchi, Rebecca Salvatori, Valentina De Micheli, Anna Baggi, Silvia Pasini, Claudio Jommi, Vito Ladisa, Giovanni Apolone, Filippo De Braud, Giancarlo Pruneri

Risultato della ricerca: Contributo su rivistaArticolo in rivistapeer review

Abstract

PURPOSE The investigation of multiple molecular targets with next-generation sequencing (NGS) has entered clinical practice in oncology, yielding to a paradigm shift from the histology-centric approach to the mutational model for personalized treatment. Accordingly, most of the drugs recently approved in oncology are coupled to specific biomarkers. One potential tool for implementing the mutational model of precision oncology in daily practice is represented by the Molecular Tumor Board (MTB), a multidisciplinary team whereby molecular pathologists, biologists, bioinformaticians, geneticists, medical oncologists, and pharmacists cooperate to generate, interpret, and match molecular data with personalized treatments. PATIENTS AND METHODS Since May 2020, the institutional MTB set at Fondazione IRCCS Istituto Nazionale Tumori of Milan met weekly via teleconference to discuss molecular data and potential therapeutic options for patients with advanced/metastatic solid tumors. RESULTS Up to October 2021, among 1,996 patients evaluated, we identified >10,000 variants, 43.2% of which were functionally relevant (pathogenic or likely pathogenic). On the basis of functionally relevant variants, 711 patients (35.6%) were potentially eligible to targeted therapy according to European Society of Medical Oncology Scale for Clinical Actionability of Molecular Targets tiers, and 9.4% received a personalized treatment. Overall, larger NGS panels (containing >50 genes) significantly outperformed small panels (up to 50 genes) in detecting actionable gene targets across different tumor types. CONCLUSION Our real-world data provide evidence that MTB is a valuable tool for matching NGS data with targeted treatments, eventually implementing precision oncology in clinical practice.

Lingua originaleInglese
RivistaJCO Precision Oncology
Volume7
DOI
Stato di pubblicazionePubblicato - 2023

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