Publications by authors named "M De Nardo"

Background: Lung ultrasound scoring is a validated tool for assessing lung pathology. However, existing scoring systems typically overlook the size of consolidations, limiting their accuracy in certain clinical scenarios.

Case Presentation: We describe the first application of adding the maximum consolidation depth in centimeters (cm) to the conventional score.

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Allogeneic chimeric antigen receptor (CAR) T cells targeting disialoganglioside-GD2 (ALLO_GD2-CART01) could be a therapeutic option for patients with relapsed or refractory, high-risk neuroblastoma (r/r HR-NB) whose tumors did not respond to autologous GD2-CART01 or who have profound lymphopenia. We present a case series of five children with HR-NB refractory to more than three different lines of therapy who received ALLO_GD2-CART01 in a hospital exemption setting. Four of them had previously received allogeneic hematopoietic stem cell transplantation.

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Cornelia de Lange syndrome (CdLS) is a rare, dominantly inherited multisystem developmental disorder. Pathogenic variants in genes encoding the structural subunits and regulatory proteins of the cohesin complex (, , , , and ) are the primary contributors to the pathogenesis of CdLS. Pathogenic variations in these genes disrupt normal cohesin function, leading to the syndrome's diverse and complex clinical presentation.

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Synthetic lethality is a genetic phenomenon whereby the simultaneous presence of two different genetic alterations impairs cellular viability. Importantly, targeting synthetic lethal interactions offers potential therapeutic strategies for cancers with alterations in pathways that might otherwise be considered undruggable. High-throughput screening methods based on modern CRISPR-Cas9 technologies have emerged and become crucial for identifying novel synthetic lethal interactions with the potential for translation into biologically rational cancer therapeutic strategies as well as associated predictive biomarkers of response capable of guiding patient selection.

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