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Pancreatic Neoplasms: HELP
Articles by Donato Nitti
Based on 2 articles published since 2010
(Why 2 articles?)
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Between 2010 and 2020, Donato Nitti wrote the following 2 articles about Pancreatic Neoplasms.
 
+ Citations + Abstracts
1 Article Evaluation of cell-free DNA as a biomarker for pancreatic malignancies. 2015

Sikora, Katarzyna / Bedin, Chiara / Vicentini, Caterina / Malpeli, Giorgio / D'Angelo, Edoardo / Sperandio, Nicola / Lawlor, Rita T / Bassi, Claudio / Tortora, Giampaolo / Nitti, Donato / Agostini, Marco / Fassan, Matteo / Scarpa, Aldo. ·ARC-NET Research Centre, University of Verona, Verona - Italy. ·Int J Biol Markers · Pubmed #24832178.

ABSTRACT: BACKGROUND: Currently, no reliable blood-based assay for early detection of pancreatic ductal adenocarcinoma (PDAC) is available. Cell-free DNA (cfDNA) quantitation in patients' plasma has been recently applied in monitoring several cancer types. This study evaluates the diagnostic potential of cfDNA in PDAC patients. METHODS: Plasma cfDNA levels and integrity ratio were assayed using quantitative real-time PCR of Alu-repeat amplicons in patients with pancreatic ductal adenocarcinoma (n=50), pancreatic neuroendocrine tumor (n=23), and chronic pancreatitis (n=20), as well as in healthy volunteers without evidence of pancreatic disease (n=23). RESULTS: The total load of cfDNA, obtained by Alu83 quantitation, was the highest in PDAC patients than in any of the other patient groups (Welch t test; p<0.001) and was an average predictor of PDAC disease (AUC=0.664; CI, 0.56-0.77). A nonlinear association between Alu83 levels and subjects' age was detected (Spearman's rho=0.35; p<0.001) in the overall population, as well as within the PDAC patients' group (Spearman's rho=0.47; p<0.001). Necrosis-derived cfDNA fragments, quantitated with the Alu244 amplicon, were barely detectable in any of the samples and, in that respect, comparable between the different subject groups. CfDNA integrity estimation (Alu244/Alu83 ratio) was significantly affected by the limited detectability of plasma Alu244 levels. CONCLUSION: The lack of detectable levels of necrosis-derived cfDNA in pancreatic pathologies considerably affects the clinical use of such biomarker in PDAC patients. Different methods of analysis should be applied in the evaluation of the cfDNA diagnostic value in pancreas pathology.

2 Article Usefulness of MALDI-TOF/MS identification of low-MW fragments in sera for the differential diagnosis of pancreatic cancer. 2013

Padoan, Andrea / Seraglia, Roberta / Basso, Daniela / Fogar, Paola / Sperti, Cosimo / Moz, Stefania / Greco, Eliana / Marchet, Alberto / de Manzoni, Giovanni / Zambon, Carlo-Federico / Navaglia, Filippo / Cristadoro, Luigi / Di Chiara, Alda / Nitti, Donato / Pedrazzoli, Sergio / Pavanello, Girolamo / Plebani, Mario. ·Department of Laboratory Medicine, University of Padova, Italy. ·Pancreas · Pubmed #23271396.

ABSTRACT: OBJECTIVES: To identify new biomarkers of pancreatic cancer (PaCa), we performed MALDI-TOF/MS analysis of sera from 22 controls, 51 PaCa, 37 chronic pancreatitis, 24 type II diabetes mellitus (DM), 29 gastric cancer (GC), and 24 chronic gastritis (CG). METHODS: Sera were purified by Sep-Pak C18 before MALDI-TOF/MS Anchorchip analysis. RESULTS: Features present in at least 5% of all spectra were selected (n = 160, m/z range, 1200-5000). At univariate analysis, 2 features (m/z 2049 and 2305) correlated with PaCa, 3 (m/z 1449, 1605, and 2006) with DM. No feature characterized gastric cancer or chronic gastritis. Ten-fold cross-validation binary recursive partitioning trees were obtained for patients' classification. The tree (CA 19-9, age, m/z 2006, 2599, 2753, and 4997), built considering only patients with diabetes, allowed a distinction between DM [area under the receiver operating characteristic curve (AUC), 0.997], chronic pancreatitis (AUC, 0.968), and PaCa (AUC, 0.980), with an overall correct classification rate of 89%. The tree including CA 19-9, 1550, and 2937 m/z features, achieved an AUC of 0.970 in distinguishing localized from advanced PaCa. MALDI-TOF-TOF analysis revealed the 1550 feature as a fragment of Apo-A1, which was determined as whole protein and demonstrated to be closely correlated with PaCa. CONCLUSIONS: The findings made demonstrate a role for serum peptides identified using MALDI-TOF/MS for addressing PaCa diagnosis.