Publications by authors named "M Roncalli"
Article Synopsis
- The study investigates the use of Artificial Intelligence (AI) to assess liver fibrosis in patients with Metabolic-Associated Steatotic Hepatitis (MASH) more accurately than traditional methods.
- Out of 60 patients, biopsies were analyzed using AI technology to measure features like collagen area and entropy, revealing significant differences across fibrosis stages and treatment responses.
- Results showed that AI could identify changes in fibrosis in 76% of cases post-treatment, suggesting it offers a more reliable way to evaluate disease progression and treatment efficacy.
Background: Malignant Pleural Mesothelioma (MPM) is an aggressive cancer of the mesothelial lining associated with exposure to airborne non-degradable asbestos fibers. Its poor response to currently available treatments prompted us to explore the biological mechanisms involved in its progression. MPM is characterized by chronic non-resolving inflammation; in this study we investigated which inflammatory mediators are mostly expressed in biological tumor samples from MPM patients, with a focus on inflammatory cytokines, chemokines and matrix components.
View Article and Find Full Text PDFRisk factors for hepatic immune-related adverse events (HIRAEs) in patients with advanced/unresectable hepatocellular carcinoma (HCC) treated with immune checkpoint inhibitors (ICIs) are unclear. We investigated: (i) clinical and morpho-pathological predictors of HIRAEs in 27 pretreatment tumor specimens, including surrogate biomarkers of the HCC immune class (based on intratumoral tertiary lymphoid structures, and glutamine synthase, CD3, and CD79 expression); and (ii) the relationship between HIRAE onset and subsequent treatment outcomes. Fifty-eight patients were included-20 (34%) received ICIs alone, and 38 (66%) received ICIs plus targeted agents as first- or further-line treatment.
View Article and Find Full Text PDFLuminal-like breast cancer (BC) constitutes the majority of BC subtypes, but, differently from highly aggressive triple negative BC, is poorly infiltrated by the immune system. The quality of the immune infiltrate in luminal-like BCs has been poorly studied, thereby limiting further investigation of immunotherapeutic strategies. By using high-dimensional single-cell technologies, we identify heterogeneous behavior within the tissue-resident memory CD8+ T (Trm) cells infiltrating luminal-like tumors.
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