Current Knowledge on Breast Implant-Associated Anaplastic Large Cell Lymphoma: Evidence from Italian Ministry of Health Registry Data.

Background: Accurate estimation of Breast Implant-Associated Anaplastic Large Cell Lymphoma (BIA-ALCL) incidence is crucial for assessing breast-implant-associated risk. However, the size of the implanted population worldwide is unknown, making it challenging to appropriately estimate this figure. This study aims to provide a new reliable and reproducible method to estimate the breast-implanted-population (BIP), reporting a reliable annual BIA-ALCL incidence estimate.

Chest wall infiltration is a critical prognostic factor in breast implant-associated anaplastic large-cell lymphoma affected patients.

Background: Breast implant-associated anaplastic large-cell lymphoma is a rare disease with a favourable prognosis if adequately treated. Same staged patients have usually a similar prognosis and outcomes, but in our experience, IIA-staged patients have a wider prognosis with outcomes that vary from complete disease response to death. This study aimed to understand and identify all the factors that could influence the prognosis of this group of patients and verify if their prognosis matches the stage they belong to.

Deletion of REXO1L1 locus in a patient with malabsorption syndrome, growth retardation, and dysmorphic features: a novel recognizable microdeletion syndrome?

Background: Copy number variations (CNVs) can contribute to genetic variation among individuals and/or have a significant influence in causing diseases. Many studies consider new CNVs' effects on protein family evolution giving rise to gene duplicates or losses. "Unsuccessful" duplicates that remain in the genome as pseudogenes often exhibit functional roles.

A new predictive equation for evaluating women body fat percentage and obesity-related cardiovascular disease risk.

Background: Obesity represents a global public health problem due to its association with cardiovascular diseases and reduced lifespan. The most widely used classification of obesity is expressed as Body Mass Index (BMI); however, this formula is an imprecise adiposity measurement that ignores several important factors involved. Body Adiposity Index (BAI) was more recently proposed as an indirect evaluation of percentage body fat (PBF).