Clinical and molecular spectrum of Wiedemann-Steiner syndrome,an emerging member of the chromatinopathy family

Wiedemann-Steiner syndrome (OMIM #605130) is a rare congenital malformation syndrome characterized by hypertrichosis cubiti associated with short stature; consistent facial features, including long eyelashes, thick or arched eyebrows with a lateral flare, wide nasal bridge, and downslanting and vertically narrow palpebral fissures; mild to moderate intellectual disability; behavioral difficulties; and hypertrichosis on the back. It is caused by heterozygous pathogenic variants in KMT2A. This gene has an established role in histone methylation, which explains the overlap of Wiedemann-Steiner syndrome with other chromatinopathies, a heterogeneous group of syndromic conditions that share a common trigger: The disruption of one of the genes involved in chromatin modification, leading to dysfunction of the epigenetic machinery.     

Diagnostic and prognostic value of magnetic resonance imaging in the detection of tumor depth of invasion and bone invasion in patients with oral cavity cancer

La radiologia medica - To evaluate the accuracy of preoperative contrast-enhanced magnetic resonance imaging (MRI) in the assessment of radiological depth of invasion (rDOI) and bone invasion in...     

How Well Can We Control Dyslipidemias Through Lifestyle Modifications?

The role for lifestyle modifications to correct dyslipidemia(s) is reviewed. Dietary composition is crucial. Replacing saturated fat with MUFA or n-6 PUFA lowers plasma low-density lipoproteins (LDL) cholesterol and ameliorates the LDL/HDL ratio. Replacing saturated fat with carbohydrates has diverging effects due to the heterogeneity of carbohydrate foods. Diets rich in refined carbohydrates increase fasting and postprandial triglycerides, whereas the consumption of fiber-rich, low GI foods lowers LDL cholesterol with no detrimental effects on triglycerides. The role of polyphenols is debated: available evidence suggests a lowering effect of polyphenol-rich foods on postprandial triglycerides. As for functional foods, health claims on a cholesterol lowering effect of psyllium, beta-glucans and phytosterols are accepted by regulatory agencies. The importance of alcohol intake, weight reduction, and physical activity is discussed. In conclusion, there is evidence that lifestyle affects plasma lipid. A multifactorial approach including multiple changes with additive effects is the best option. This may also ensure feasibility and durability. The traditional Mediterranean way of life can represent a useful model.     

Comprehensive geriatric assessment is an independent prognostic factor in older patients with metastatic renal cell cancer treated with first-line Sunitinib or Pazopanib: a single center experience

BackgroundThere is poor data on the prognostic role of Comprehensive Geriatric Assessment (CGA) in older patients with metastatic renal cell carcinoma (mRCC) treated with first line Tyrosine Kinase Inhibitors (TKIs).Materials and MethodsWe retrospectively reviewed the clinical charts of mRCC patients older than 70 years treated at our Institute with first-line Sunitinib or Pazopanib for at least 6 months. Every patient received a CGA at baseline and was identified as fit, vulnerable or frail according to Balducci's Criteria. We then assessed the impact of CGA category on survival, disease control and tolerability of TKIs.ResultsWe identified 86 eligible patients. Median age: 74.5 years, 56% males; 45.4% were fit, 37.2% vulnerable and 17.4% frail at CGA. There were no significant differences in the rate of Grade (G)1–2 and G3-4 toxicities, dose reduction rates, PFS and OS between Sunitinib and Pazopanib. Fit, vulnerable and frail patients achieved significantly different median PFS (18.9 vs 11.2 vs 5.1 months; p < 0.001) and OS (35.5 vs 14.6 vs 10.9 months; p < 0.001). Patients categorized as fit had higher chance of receiving a second-line treatment (66.6% vs 28.9% in vulnerable/frail; p = 0.002). The incidence of G3/4 events was significantly lower in the fit subgroup (19% vs 45% in vulnerable/frail; p = 0.0025).ConclusionsIn our retrospective single-center experience, CGA could accurately discriminate patients with higher risk of experiencing G3/4 toxicities, shorter PFS, and lower chance of receiving a second line treatment. CGA strongly impacted on OS, independently from International mRCC Database Consortium (IMDC) classification.     

A nutraceutical extract from Inula viscosa leaves: UHPLC-HR-MS/MS based polyphenol profile,and antioxidant and cytotoxic activities

Nowadays, advanced extraction techniques and highly sensitive metabolic profiling methods are effectively employed to get new information on plant chemical constituents. Among them wild medicinal plants or their parts, with large and ancient use in folk medicine, are investigated for their potential functional use and cultivation. In this context, Inula viscosa leaves engaged our attention. A simple experimental design, based on Soxhlet extraction and chromatographic fractionation, allowed us to obtain the investigated polyphenol fraction (IvE). UHPLC-HRMS analyses revealed shikimoyl depsides of caffeic acid and unusual dihydrobenzofuran lignans as main secondary metabolites. These compounds, together with cinchonain-type phenols, and hydroxycinnamoyl flavonol glycosides, are reported for the first time in inula. Overall, forty-three secondary metabolites were identified. The extract exerted a remarkable antiradical activity towards DPPH^? and ABTS^+?. Furthermore, it was able to inhibit cell viability and mitochondrial redox activity of neuroblastoma, hepatoblastoma and colon carcinoma cells, whereas it did not affect cell density of HaCaT cells immortalized human keratinocytes. As detected by the oxidant-sensing probe 2′,7′-dichlorodihydrofluorescein diacetate, the inhibitory responses seemed to be related to IvE-induced increase of intracellular reactive oxygen species (ROS). The obtained results highlighted that inula leaves, nowadays even undervalued and unexplored, could be considered a renewable source of nutraceutical compounds.     

Relevance of apparent diffusion coefficient features for a radiomics-based prediction of response to induction chemotherapy in sinonasal cancer

In this paper, several radiomics-based predictive models of response to induction chemotherapy (IC) in sinonasal cancers (SNCs) are built and tested. Models were built as a combination of radiomic features extracted from three types of MRI images: T1-weighted images, T2-weighted images and apparent diffusion coefficient (ADC) maps. Fifty patients (aged 54 ± 12 years, 41 men) were included in this study. Patients were classified according to their response to IC (25 responders and 25 nonresponders). Not all types of images were acquired for all of the patients: 49 had T1-weighted images, 50 had T2-weighted images and 34 had ADC maps. Only in a subset of 33 patients were all three types of image acquired. Eighty-nine radiomic features were extracted from the MRI images. Dimensionality reduction was performed by using principal component analysis (PCA) and by selecting only the three main components. Different algorithms (trees ensemble, K-nearest neighbors, support vector machine, naïve Bayes) were used to classify the patients as either responders or nonresponders. Several radiomic models (either monomodality or multimodality obtained by a combination of T1-weighted, T2-weighted and ADC images) were developed and the performance was assessed through 100 iterations of train and test split. The area under the curve (AUC) of the models ranged from 0.56 to 0.78. Trees ensemble, support vector machine and naïve Bayes performed similarly, but in all cases ADC-based models performed better. Trees ensemble gave the highest AUC (0.78 for the T1-weighted+T2-weighted+ADC model) and was used for further analyses. For trees ensemble, the models based on ADC features performed better than those models that did not use those features (P < 0.02 for one-tail Hanley test, AUC range 0.68–0.78 vs 0.56–0.69) except the T1-weighted+ADC model (AUC 0.71 vs 0.69, nonsignificant differences). The results suggest the relevance of ADC-based radiomics for prediction of response to IC in SNCs.