https://hdl.handle.net/10807/95494 2026-06-03T10:29:17Z 2026-06-03T10:29:17Z https://hdl.handle.net/10807/337297 2026-06-02T00:48:38Z 2025-01-01T00:00:00Z

Titolo: Il cibo e gli Emiri (notizia sulla B.IN.G. ritrovata in Qatar) Autori: Pregnolato, Simone Abstract: The Bibliothèque Internationale de Gastronomie of Lugano (B.IN.G.), formerly owned by the financier Orazio Bagnasco, had effectively vanished from record after his death in 1999. Extensive research conducted within the AtLiTeG Project has now revealed that the collection survives intact and is housed within the gastronomic holdings of the Library of the Museum of Islamic Art (MIA) in Doha, which acquired it in 2014 through the patronage of Sheikha Al Mayassa bint Hamad Al-Thani. This acquisition represents a major milestone for the study of Italian culinary history, culture, and language. The collection restores to scholars an extraordinary resource, remarkable both for its size – over 4,000 early volumes, manuscripts and printed books, in twelve different languages – and for its chronological range, spanning from the Middle Ages to the late 19th century. It also provides crucial material for the lexicographic reconstruction of Italian food terminology in the medieval and early modern periods. The article traces the process through which the world’s largest private library of early gastronomic texts was identified in Qatar, examines the scope of the collection and the (partial) catalogue published by Bagnasco in 1994, and situates the rediscovery within a broader historical context that seeks to illuminate the circumstances and climate in which the B.IN.G. was assembled. In conclusion, particular attention is devoted to two Italo-Romance manuscripts belonging to the “Twelve companions” tradition, formerly preserved at the B.IN.G. and now rediscovered at the MIA.

2025-01-01T00:00:00Z https://hdl.handle.net/10807/336911 2026-05-28T19:32:29Z 2025-01-01T00:00:00Z

Titolo: Prediction of germline BRCA 1/2 genes pathogenetic variants from ultrasound images of healthy ovaries: Radiogenomics as an innovative tool to prevent BRCA-related cancers (PROBE II) Autori: Nero C.; Ciccarone F.; Boldrini L.; Baldassarri G.; Tran H. E.; Giudice M. T.; Sillano F.; Camarda F.; Paris I.; Minucci A.; De Bonis M.; Mozzetta I.; Pasciuto T.; Giannarelli D.; Valentini V.; Testa A. C.; Sala E.; Scambia G. Abstract: e17561Background: BRCA 1/2 genes mutation identification enables women to opt for effective risk-reducing surgeries. Current indications for BRCA testing based on clinical-criteria/family-history based a priori BRCA probability thresholds are ineffective as most of the carriers remain undiagnosed. We already showed the feasibility of performing a radiomic analysis of ultrasound images of normal ovaries to predict BRCA 1/2 genes status, with performances on the testing set reasonably encouraging. Moreover, we performed a cost-effective analysis showing that combining clinical criteria with the radiogenomic model would have a massive effect after only one generation in detecting carriers in the general population with only a small cost increment. The present study aims at improving the preprocessing and modelling pipeline on a larger dataset and at validating the predictive model prospectively in a multicenter study. In this abstract we will present preliminary results from the retrospective phase. Methods: We conducted a retrospective multicenter observational study aimed at collecting ultrasound images of healthy ovaries with known BRCA status. Patients referring to participating center from January until December 2023 fulfilling the following selection criteria: 1. Availability of gBRCA1/2 test results; 2. Transvaginal ultrasound performed providing at least one picture of one healthy ovary. Healthy ovaries were manually segmented on ultrasound images. Image preprocessing steps were performed for speckle noise reduction, intensities normalization and calipers’ correction. Radiomic features were extracted from the segmented ovaries and the cohort was divided into training (70%) and validation (30%) sets. Radiomics features were selected with Recursive Feature Elimination (RFE) on the training set and used for the classification of BRCA status using different Machine Learning classifiers. The performances were evaluated considering area under the receiver operating characteristics curve (AUC). Results: 481 patients (282 BRCA-mutated and 199 wild-type) were analysed. 12 statistical and textural radiomics features were selected and used for classification. The Random-Forest radiomics model shows the best performance with an AUC of 0.74 in the validation set. Conclusions: The information on BRCA carrier status may allow in the future to benefit from the reduction in the number of cancer cases and related economic savings deriving from avoiding cost of genetic testing screening-based proposed. Testing one generation with radiogenomics screening could help reducing the burden of BRCA-related cancers and provide anamnestic information for subsequent generations. Future work will integrate the radiomics predictions with age and familiarity implementing a clinical-radiomics model. Clinical trial information: NCT05769517.

2025-01-01T00:00:00Z https://hdl.handle.net/10807/336897 2026-05-28T19:34:57Z 2025-01-01T00:00:00Z

Titolo: Decoding tumor evolution in advanced ovarian cancer: Proteogenomic insights before and after neoadjuvant chemotherapy Autori: Iacobelli V.; Buttarelli M.; Martinelli E.; Piermattei A.; Raspaglio G.; De Donato M.; Sillano F.; Trozzi R.; Camarda F.; Pasciuto T.; Minucci A.; Mastrantoni L.; Giaco' L.; Mantini G.; Sommella E. M.; Caponigro V.; Campiglia P.; Anderson G.; Scambia G.; Nero C. Abstract: e17582Background: Platinum-based neoadjuvant chemotherapy (NACT) is a cornerstone in advanced ovarian cancer (OC) treatment. However, biomarkers predictive of response and the mechanisms underlying chemoresistance remain poorly defined. The PROGENITOR study aimed to (1) identify biomarkers associated with treatment response, as measured by Chemotherapy Response Score (CRS) and platinum-free interval (PFI), and (2) elucidate pathways driving chemoresistance and tumor adaptation. Methods: Tumor samples from 39 OC patients were analyzed pre- (T0) and post-NACT (T1) using RNA sequencing and liquid chromatography-mass spectrometry. Differentially expressed genes (DEGs) and proteins (DEPs) were identified, and transcriptomic-proteomic integration was performed. Deconvolution analysis, using xCell tool, evaluated tumor microenvironment dynamics, stratified by CRS and PFI. Genomic alterations were also correlated with transcriptomic and proteomic changes. Results: Longitudinal analysis revealed significant downregulation of PKMYT1, CDK1, and UBE2C at T1, suggesting impaired cell cycle progression and the potential induction of a quiescent state, contributing to chemoresistance mechanisms, as observed in CCNE1-amplified tumors. Deconvolution analysis revealed notable shifts in the tumor microenvironment post-NACT. Cancer-associated fibroblasts (CAFs) and stromal scores increased significantly in OC patients with suboptimal response (CRS 1–2), highlighting their role in chemoresistance through extracellular matrix remodeling. Additionally, immune cell populations showed significant alterations, including reduced T-cell and natural killer cell composition, along with a decline in dendritic cells, suggesting impaired antitumor immunity. These immune-stromal alterations were more pronounced in patients with poor PFI (<6 months). Conclusions: This study suggests dependency on PKMYT1 for CDK1 inhibition and a role in chemoresistance, particularly in CCNE1-amplified tumors. The integration of multi-omics and deconvolution analysis underscores the critical roles of cell cycle dysregulation, stromal activation, and immune suppression in shaping tumor evolution under NACT. These findings provide a foundation for biomarker-driven therapeutic strategies targeting cell-cycle machinery.

2025-01-01T00:00:00Z https://hdl.handle.net/10807/336836.4 2026-05-29T01:06:33Z 2026-01-01T00:00:00Z

Titolo: Expectant management or conization for persistent low-grade cervical intraepithelial neoplasia: Analysis of 5-year outcomes Autori: Bogani G.; Sopracordevole F.; Corso G.; Vizza E.; Scollo P.; Giannini A.; Di Donato V.; Ciavattini A.; De Vincenzo R.; Gardella B.; Sorbi F.; Fambrini M.; Ghezzi F.; Casarin J.; Petrillo M.; Borso C.; Tonti N.; Chiappa V.; Raspagliesi F.; Vizzielli G. Abstract: Objective: To investigate to describe outcomes of conization or expectant management for women with persistent (>24 months) low-grade cervical intra-epithelial neoplasia.Methods: This is a retrospective analysis focusing on five-year outcomes after persistent, histologically confirmed, low-grade cervical intra-epithelial neoplasia undergoing conization or expectant management.Results: Charts of 219 women with persistent low-grade cervical lesions were retrieved. Overall, 98 (44.7%) and 121 (55.3%) women had conization and observation, respectively. Patients receiving conization were older than patients having observation (43 (range, 24-77) vs. 39 (range, 25-68) years; p=0.013). Focusing on the group of patients receiving conization, 16 (16.3%) women were diagnosed with CIN2+. The five-year risk of secondary conization was 5% (n=5). Focusing on patients having observation (n=121), 18 (14.8%) patients received conization, after a median of 16.5 (range, 6-30) months. Seven (5.8%) and 11 (9.1%) patients were diagnosed with persistent CIN1 and CIN2+, respectively. Not fully visible squamous-columnar junction at colposcopic examination (p=0.035) was associated with CIN2+ occurrence. No invasive cancer was observedConclusions: Conization for persistent low-grade cervical intra-epithelial neoplasia revealed "occult" CIN2+ in 16% of patients. However, expectant management appears safe and effective in this context, in women with fully visible squamous columnar junction. The decision between conization and expectant management should be discussed on an individual basis.

2026-01-01T00:00:00Z