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MicroRNAs Expression Profile in MN1-Altered Astroblastoma.

Biomedicines

January 2025

Department of Radiological, Oncological and Anatomo-Pathological Sciences, University Sapienza of Rome, 00161 Rome, Italy.

Background/objectives: Astroblastoma is a rare glial neoplasm more frequent in young female patients, with unclear clinical behaviors and outcomes. The diagnostic molecular alteration is a rearrangement of the Meningioma 1 () gene. MicroRNAs (miRNAs) are important gene expression regulators with strong implications in biological processes.

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Objectives: This study aims to report on the application of degradable starch microspheres to provide flow diversion by means of temporary embolization of healthy tissues in oncological endovascular procedures when tumor feeding vessels are not selectively accessible.

Methods: This is a multicenter retrospective analysis of patients undergoing visceral embolization procedures of malignancies. The inclusion criteria were as follows: flow diversion performed by injection of degradable starch microspheres, visceral embolization procedures with unfeasible superselective catheterism of the target, and a malignant pathology.

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: Single-agent immune checkpoint inhibitor (IO) therapy is the standard for non-oncogene-addicted advanced non-small cell lung cancer (aNSCLC) with PD-L1 tumor proportion score ≥ 50%. Smoking-induced harm generates high tumor mutation burden (H-TMB) in smoking patients (S-pts), while never-smoking patients (NS-pts) typically have low TMB (L-TMB) and are unresponsive to IO. However, the molecular characterization of NS-pts with H-TMB remains unclear.

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A Machine Learning Model Based on Thyroid US Radiomics to Discriminate Between Benign and Malignant Nodules.

Cancers (Basel)

November 2024

Department of Radiological, Anatomo-Pathological Sciences, "Sapienza" University of Rome, Viale Regina Elena 324, 00161 Rome, Italy.

: Thyroid nodules are a very common finding, mostly benign but sometimes malignant, and thus require accurate diagnosis. Ultrasound and fine needle biopsy are the most widely used and reliable diagnostic methods to date, but they are sometimes limited in addressing benign from malignant nodules, mainly with regard to ultrasound, by the operator's experience. Radiomics, quantitative feature extraction from medical images and machine learning offer promising avenues to improve diagnosis.

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Diffuse pediatric-type high-grade gliomas (pedHGG), H3- and IDH-wildtype, encompass three main DNA-methylation-based subtypes: pedHGG-MYCN, pedHGG-RTK1A/B/C, and pedHGG-RTK2A/B. Since their first description in 2017 tumors of pedHGG-RTK2A/B have not been comprehensively characterized and clinical correlates remain elusive. In a recent series of pedHGG with a Gliomatosis cerebri (GC) growth pattern, an increased incidence of pedHGG-RTK2A/B (n = 18) was observed.

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