Ecteinascidin synthetic analogues: a new class of selective inhibitors of transcription, exerting immunogenic cell death in refractory malignant pleural mesothelioma.

Background: Malignant pleural mesothelioma (MPM) is a highly chemo-refractory and immune-evasive tumor that presents a median overall survival of 12-14 months when treated with chemotherapy and immunotherapy. New anti-tumor therapies as well as the concomitant reactivation of immune destruction are urgently needed to treat patients with this tumor. The aim of this work is to investigate the potential effect of ecteinascidin derivatives as lurbinectedin as new first-line treatment option in MPM, alone and in combination with immunotherapy.

Actionable non-small cell lung cancer mutation identification by comprehensive genomic profiling for clinical trial enrollment: the European Program for the ROutine testing of Patients with Advanced lung cancer (EPROPA).

Background: To reduce the gap about the relevant heterogeneity of molecular testing and cancer care across Europe, Women Against Lung Cancer in Europe (WALCE) promoted the European Program for ROutine testing of Patients with Advanced lung cancer (EPROPA) and provided a free-of-charge molecular profiling platform for non-small cell lung cancer sample characterization with the aim of increasing the detection of targetable drivers and improving patients' access to clinical trials.

Methods: From January 2021 to December 2023, 20 centres located at 5 different European countries (Greece, Slovenia, Romania, Albania and Italy) joined EPROPA, with 555 advanced NSCLC patients registered into the program. Anonymized patients' clinical-pathological data were shared through the EPROPA web platform and tissue samples were collected to the Molecular Pathology Unit of the Reference Center (University of Turin) for molecular analyses.

Comprehensive analysis of supervised learning methods for electrical source imaging.

Electroencephalography source imaging (ESI) is an ill-posed inverse problem: an additional constraint is needed to find a unique solution. The choice of this constraint, or prior, remains a challenge for most ESI methods. This work explores the application of supervised learning methods for spatio-temporal ESI, where the relationship between measurements and sources is learned directly from the data.

Active surveillance in patients with extra-abdominal desmoid-type fibromatosis: a pooled analysis of three prospective observational studies.

Purpose: Three prospective observational studies (Italy, the Netherlands, France) on active surveillance (AS) in patients with extra-abdominal desmoid-type fibromatosis (DTF) support AS as a frontline approach. Identifying prognostic factors for the failure of AS will help determine the strategy. The aim of this study was to investigate the prognostic impact of clinical and molecular variables in a larger series.