Angelo Vanzulli

Prof. Angelo Vanzulli

orcid

Research Focus & Metrics

Academic Career Length

44Years (1983-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications

1 April 2017 in Cancer Discovery
Verified
Journal Article
Closed access
PDF file
ADAlexander Drilon
Alexander Drilon
SSSalvatore Siena
Salvatore Siena
SOSai-Hong Ignatius Ou
Sai-Hong Ignatius Ou
MPManish Patel
Manish Patel
MAMyung Ju Ahn
Myung Ju Ahn
FBF. De Braud
F. De Braud
Entrectinib, a potent oral inhibitor of the tyrosine kinases TRKA/B/C, ROS1, and ALK, was evaluated in two phase I studies in patients with advanced or metastatic solid tumors, including patients with active central nervous system (CNS) disease. Here, we summarize the overall safety and report the antitumor activity of entrectinib in a cohort of patients with tumors harboring NTRK1/2/3, ROS1, or ALK gene fusions, naïve to prior TKI treatment targeting the specific gene, and who were treated at doses that achieved therapeutic exposures consistent with the recommended phase II dose. Entrectinib was well tolerated, with predominantly Grades 1/2 adverse events that were reversible with dose modification. Responses were observed in non–small cell lung cancer, colorectal cancer, mammary analogue secretory carcinoma, melanoma, and renal cell carcinoma, as early as 4 weeks after starting treatment and lasting as long as >2 years. Notably, a complete CNS response was achieved in a patient with SQSTM1–NTRK1-rearranged lung cancer. Significance: Gene fusions of NTRK1/2/3, ROS1, and ALK (encoding TRKA/B/C, ROS1, and ALK, respectively) lead to constitutive activation of oncogenic pathways. Entrectinib was shown to be well tolerated and active against those gene fusions in solid tumors, including in patients with primary or secondary CNS disease. Cancer Discov; 7(4); 400–9. ©2017 AACR. This article is highlighted in the In This Issue feature, p. 339

1 August 1999 in Diabetes
Verified
Journal Article
Closed access
PDF file
GPGianluca Perseghin
Gianluca Perseghin
PSP Scifo
P Scifo
Francesco De CobelliFrancesco De Cobelli
Francesco De Cobelli
EPE Pagliato
E Pagliato
ABA Battezzati
A Battezzati
Livio LuziLivio Luzi
Livio Luzi
Insulin resistance is the best prediction factor for the clinical onset of type 2 diabetes. It was suggested that intramuscular triglyceride store may be a primary pathogenic factor for its development. To test this hypothesis, 14 young lean offspring of type 2 diabetic parents, a model of in vivo insulin resistance with increased risk to develop diabetes, and 14 healthy subjects matched for anthropomorphic parameters and life habits were studied with 1) euglycemic-hyperinsulinemic clamp to assess whole body insulin sensitivity, 2) localized 1H nuclear magnetic resonance (NMR) spectroscopy of the soleus (higher content of fiber type I, insulin sensitive) and tibialis anterior (higher content of fiber type IIb, less insulin sensitive) muscles to assess intramyocellular triglyceride content, 3) 13C NMR of the calf subcutaneous adipose tissue to assess composition in saturated/unsaturated carbons of triglyceride fatty acid chains, and 4) dual X-ray energy absorption to assess body composition. Offspring of diabetic parents, notwithstanding normal fat content and distribution, were characterized by insulin resistance and increased intramyocellular triglyceride content in the soleus (P < 0.01) but not in the tibialis anterior (P = 0.19), but showed a normal content of saturated/unsaturated carbons in the fatty acid chain of subcutaneous adipocytes. Stepwise regression analysis selected intramyocellular triglyceride soleus content and plasma free fatty acid levels as the main predictors of whole body insulin sensitivity. In conclusion, 1H and 13C NMR spectroscopy revealed intramyocellular abnormalities of lipid metabolism associated with whole body insulin resistance in subjects at high risk of developing diabetes, and might be useful tools for noninvasively monitoring these alterations in diabetes and prediabetic states.

1 July 2018 in Cancer Cell
Verified
Journal Article
Closed access
GSGiulia Siravegna
Giulia Siravegna
LLLuca Lazzari
Luca Lazzari
Giovanni CrisafulliGiovanni Crisafulli
Giovanni Crisafulli
Andrea Sartore-BianchiAndrea Sartore-Bianchi
Andrea Sartore-Bianchi
BMBenedetta Mussolin
Benedetta Mussolin
ABAlberto Bardelli
Alberto Bardelli

1 August 2016 in Pharmacological Research
Verified
Journal Article
Closed access
LCLuca Caschera
Luca Caschera
ALAngelo Lazzara
Angelo Lazzara
LPLorenzo Piergallini
Lorenzo Piergallini
DRDomenico Ricci
Domenico Ricci
BTBruno Tuscano
Bruno Tuscano
AVAngelo Vanzulli
Angelo Vanzulli

25 September 2017 in PLOS ONE
Verified
Journal Article
Open access
PDF file
SBSimona Bertoli
Simona Bertoli
ALAlessandro Leone
Alessandro Leone
NKNir Y. Krakauer
Nir Y. Krakauer
GBGiorgio Bedogni
Giorgio Bedogni
AVAngelo Vanzulli
Angelo Vanzulli
ABAlberto Battezzati
Alberto Battezzati
A Body Shape Index (ABSI) was specifically developed as a transformation of waist circumference (WC), statistically independent of BMI to better evaluate the relative contribution of WC to central obesity and clinical outcomes. Previous studies have found ABSI is associated with total mortality and cardiovascular events. However, no study has specifically evaluated the joint contribution of ABSI and BMI to cardio-metabolic outcomes (high triglycerides, low HDL, high fasting glucose and high blood pressure). With this aim, we performed a retrospective study on 6081 Caucasian adults. Subjects underwent a medical interview, anthropometric measurements, blood sampling, measurement of blood pressure, and measurement of visceral abdominal fat thickness (VAT) by ultrasound. Generalized linear models (GLM) were used to evaluate the sex and age adjusted association of ABSI with binary and continuous cardio-metabolic risk factors. Four pre-specified GLM were evaluated for each outcome: M1 = ABSI, BMI and ABSI*BMI interaction, M2 = ABSI and BMI, M3 = ABSI alone and M4 = BMI alone. Bayesian Information Criterion (BIC) was calculated and used to identify the best predictive model. ABSI and BMI contributed independently to all outcomes. Compared to BMI alone, the joint use of BMI and ABSI yielded significantly improved associations for having high triglycerides (BIC = 5261 vs. 5286), low HDL (BIC = 5371 vs. 5381), high fasting glucose (BIC = 6328 vs. 6337) but not high blood pressure (BIC = 6580 vs. 6580). The joint use of BMI and ABSI was also more strongly associated with VAT than BMI alone (BIC = 22930 vs. 23479). In conclusion, ABSI is a useful index for evaluating the independent contribution of WC, in addition to that of BMI, as a surrogate for central obesity on cardio-metabolic risk.