Publications by authors named "F M Perrone"

Introduction: ctDNA is a useful tool for NGS molecular profiling in advanced NSCLC patients. Its clinical applicability in patients with gene rearrangements is still limited due to a lower detection rate of these types of alterations compared to single SNVs or small indels. To this purpose, we performed a study in two Italian centers to assess the concordance between tissue and plasma samples in the detection of genes fusions (, , ) and mutations in advanced NSCLC patients.

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Patients with solid tumors present a higher risk of infectious diseases with worse outcomes compared with immunocompetent patients. Prolonged treatment of prophylactic and empirically chosen antibiotics and health care-acquired infections can predispose patients with cancer to infections with antimicrobial-resistant (AMR) organisms. AMR is a global health priority and can affect patients with cancer.

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Cancer driver mutations are defined by their high prevalence in cancers and presumed rarity in normal tissues. However, recent studies show that positive selection in normal epithelia can increase the prevalence of some cancer drivers. To determine their true cancer-driving potential, it is essential to evaluate how frequent these mutations are in normal tissues and what are their phenotypes.

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Copy number alterations (CNAs) play a fundamental role in cancer development and constitute a potential tool for tailored treatments. The CNAs recognition in formalin fixed paraffin embedded (FFPE) material for diagnostic purposes has relied for years mainly on fluorescence in situ hybridization. The introduction of other procedures, such as Next-Generation Sequencing has dramatically improved CNAs discovery at genome-wide level.

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Transgender and gender-diverse (TGD) individuals face an elevated risk of cancer in comparison with the general population. This increased risk is primarily attributed to an imbalanced exposure to modifiable risk factors and a limited adherence to cancer screening programmes, stemming from historical social and economic marginalisation. Consequently, these factors contribute to poorer clinical outcomes in terms of cancer diagnosis and mortality.

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