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Pancreatic Neoplasms: HELP
Articles by Marco Miotto
Based on 6 articles published since 2010
(Why 6 articles?)
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Between 2010 and 2020, Marco Miotto wrote the following 6 articles about Pancreatic Neoplasms.
 
+ Citations + Abstracts
1 Clinical Trial Is there a role for near-infrared technology in laparoscopic resection of pancreatic neuroendocrine tumors? Results of the COLPAN "colour-and-resect the pancreas" study. 2017

Paiella, Salvatore / De Pastena, Matteo / Landoni, Luca / Esposito, Alessandro / Casetti, Luca / Miotto, Marco / Ramera, Marco / Salvia, Roberto / Secchettin, Erica / Bonamini, Deborah / Manzini, Gessica / D'Onofrio, Mirko / Marchegiani, Giovanni / Bassi, Claudio. ·General and Pancreatic Surgery Department, Pancreas Institute, University and Hospital Trust of Verona, Policlinico GB Rossi, Piazzale L.A. Scuro, 10, 37134, Verona, Italy. salvatore.paiella@univr.it. · General and Pancreatic Surgery Department, Pancreas Institute, University and Hospital Trust of Verona, Policlinico GB Rossi, Piazzale L.A. Scuro, 10, 37134, Verona, Italy. · Radiology Department, Pancreas Institute, University and Hospital Trust of Verona, Verona, Italy. ·Surg Endosc · Pubmed #28374260.

ABSTRACT: BACKGROUND: The intraoperative identification of pancreatic neuroendocrine tumors (PanNETs) is of utmost importance to drive their laparoscopic resection. Near-infrared (NIR) surgery has emerged as a new technique for localizing tumors or neoplastic tissue. This study aimed to explore the results of the application of NIR in the laparoscopic resection of PanNETs. METHODS: Per protocol we enrolled ten subjects undergoing laparoscopic pancreatic surgery for PanNET from March 2016 to October 2016. During surgery, the patients were injected with indocyanine green dye (ICG, 25 mg given in 5 boli of 5 mg each). The switch-activation of NIR was performed to identify PanNETs. An ex-post analysis of the images was realized using ImageJ Software® to calculate the fluorescence signal. RESULTS: NIR imaging identified all ten PanNETs. Nine (90%) laparoscopic distal pancreatectomy with splenectomy and one (10%) laparoscopic enucleation were performed. The mean maximum tumor dimension was 2.4 cm (range 1-4 cm). Eight non-functioning PanNETs (80%) and two insulinomas (20%) were found at the final pathology. Nine out of ten (90%) PanNETs were detected after the second ICG bolus. The mean latency time was 80 s and the mean visibility time was 220 s. The peak of tumor visualization was reached 20 min after the last bolus. This finding was confirmed by the ex-post analysis of the fluorescence signal (mean signal-to-background ratio of 7.7, p = 0.001). NIR identified two additional lesions, which turned out to be normal lymph nodes at final pathology. A fluorescent signal was identified at the bed of the enucleation, and thus, a further exeresis was performed and final pathology revealed that is was residual neoplastic tissue. CONCLUSIONS: This explorative study shows that NIR with ICG can have a role in laparoscopic pancreatic resection of PanNETs. Further studies are needed to assess the proper setting and role of this new and promising technology.

2 Article Patterns of Recurrence after Resection for Pancreatic Neuroendocrine Tumors: Who, When, and Where? 2019

Marchegiani, Giovanni / Landoni, Luca / Andrianello, Stefano / Masini, Gaia / Cingarlini, Sara / D'Onofrio, Mirko / De Robertis, Riccardo / Davì, Mariavittoria / Capelli, Paola / Manfrin, Erminia / Amodio, Antonio / Paiella, Salvatore / Malleo, Giuseppe / Damoli, Isacco / Miotto, Marco / Bianchi, Beatrice / Nessi, Chiara / Vivani, Elena / Scarpa, Aldo / Salvia, Roberto / Bassi, Claudio. ·Department of General and Pancreatic Surgery, The Pancreas Institute, University of Verona Hospital Trust, Verona, Italy. · Department of Oncology, The Pancreas Institute, University of Verona Hospital Trust, Verona, Italy. · Department of Radiology, The Pancreas Institute, University of Verona Hospital Trust, Verona, Italy. · Department of Medicine, University of Verona Hospital Trust, Verona, Italy. · Pathology, The Pancreas Institute, University of Verona Hospital Trust, Verona, Italy. · Department of Gastroenterology, The Pancreas Institute, University of Verona Hospital Trust, Verona, Italy. · Department of General and Pancreatic Surgery, The Pancreas Institute, University of Verona Hospital Trust, Verona, Italy, roberto.salvia@univr.it. ·Neuroendocrinology · Pubmed #30481765.

ABSTRACT: BACKGROUND/AIMS: Pancreatic neuroendocrine tumors (pan-NENs) represent an increasingly common indication for pancreatic resection, but there are few data regarding possible recurrence after surgery. The aim of the study was to describe the frequency, timing, and patterns of recurrence after resection for pan-NENs with consequent implications for postoperative follow-up. METHODS: We performed a retrospective analysis of pan-NENs resected between 1990 and 2015 at The Pancreas Institute, University of Verona Hospital Trust. Predictors of recurrence were assessed. Survival analysis was conducted using the Kaplan-Meier and conditional survival (CS) methods. RESULTS: The cohort consisted of 487 patients with a median follow-up of 71 months. Recurrence developed in 12.3%: 54 (11.1%) liver metastases, 11 (2.3%) local recurrence, 10 (2.1%) nodal recurrence, and 8 (1.6%) metastases in other organs. Thirty-one (6.4%) died due to disease recurrence. Size > 21 mm, G3 grade, nodal metastasis, and vascular infiltration were independent predictors of overall recurrence. Recurrence occurred either during the first year of follow-up (n = 9), or after 10 years (n = 4). CS analysis revealed that nonfunctioning G1 pan-NEN ≤20 mm without nodal metastasis or vascular invasion had a negligible risk of developing recurrence. In the present series, after 5 years of follow-up without developing recurrence, tumor recurrence occurred only in the form of liver metastases. CONCLUSIONS: Recurrence of pan-NENs is rare and is predicted by tumor size, nodal metastasis, grading, and vascular invasion. Patients with G1 pan-NEN without nodal metastasis and vascular invasion may be considered cured by surgery. After 5 years without recurrence, follow-up should focus on excluding the development of liver metastases.

3 Article The Evolution of Surgical Strategies for Pancreatic Neuroendocrine Tumors (Pan-NENs): Time-trend and Outcome Analysis From 587 Consecutive Resections at a High-volume Institution. 2019

Landoni, Luca / Marchegiani, Giovanni / Pollini, Tommaso / Cingarlini, Sara / D'Onofrio, Mirko / Capelli, Paola / De Robertis, Riccardo / Davì, Maria V / Amodio, Antonio / Impellizzeri, Harmony / Malpaga, Anna / Miotto, Marco / Boninsegna, Letizia / Crepaz, Lorenzo / Nessi, Chiara / Zingaretti, Caterina C / Paiella, Salvatore / Esposito, Alessandro / Casetti, Luca / Malleo, Giuseppe / Tuveri, Massimiliano / Butturini, Giovanni / Salvia, Roberto / Scarpa, Aldo / Falconi, Massimo / Bassi, Claudio. ·General and Pancreatic Surgery Department, The Pancreas Institute-University of Verona Hospital Trust, Verona, Italy. · Department of Oncology, The Pancreas Institute-University of Verona Hospital Trust, Verona, Italy. · Department of Radiology, The Pancreas Institute-University of Verona Hospital Trust, Verona, Italy. · Department of Pathology, The Pancreas Institute-University of Verona Hospital Trust, Verona, Italy. · Department of Radiology, Pederzoli Hospital, Peschiera del Garda, Verona, Italy. · Department of Medicine, The Pancreas Institute-University of Verona Hospital Trust, Verona, Italy. · Division of Surgery, Ospedale "Sacro Cuore-Don Calabria", Negrar (VR), Italy. · Department of Surgery, Pederzoli Hospital, Peschiera del Garda, Verona, Italy. · Pancreatic Surgery Unit, Pancreas Translational & Clinical Research Center, San Raffaele Scientific Institute, "Vita-Salute" University, Milan, Italy. ·Ann Surg · Pubmed #29189384.

ABSTRACT: OBJECTIVE: The objective of the present analysis is 2-fold: first, to define the evolution of time trends on the surgical approach to pancreatic neuroendocrine neoplasms (Pan-NENs); second, to perform a complete analysis of the predictors of oncologic outcome. BACKGROUND: Reflecting their rarity and heterogeneity, Pan-NENs represent a clinical dilemma. In particular, there is a scarcity of data regarding their long-term follow-up after surgical resection. METHODS: From the Institutional Pan-NEN database, 587 resected cases from 1990 to 2015 were extracted. The time span was arbitrarily divided into 3 discrete clusters enabling a balanced comparison between patient groups. Analyses for predictors of recurrence and survival were performed, together with conditional survival analyses. RESULTS: Among the 587 resected Pan-NENs, 75% were nonfunctioning tumors, and 5% were syndrome-associated tumors. The mean age was 54 years (±14 years), and 51% of the patients were female. The median tumor size was 20 mm (range 4 to 140), 62% were G1, 32% were G2, and 4% were G3 tumors. Time trends analysis revealed that the number of resected Pan-NENs constantly increased, while the size (from 25 to 20 mm) and G1 proportion (from 65% to 49%) decreased during the study period. After a mean follow-up of 75 months, recurrence analysis revealed that nonfunctioning tumors, tumor grade, N1 status, and vascular invasion were all independent predictors of recurrence. Regardless of size, G1 nonfunctioning tumors with no nodal involvement and vascular invasion had a negligible risk of recurrence at 5 years. CONCLUSIONS: Pan-NENs have been increasingly diagnosed and resected during the last 3 decades, revealing reliable predictors of outcome. Functioning and nodal status, tumor grade, and vascular invasion accurately predict survival and recurrence with resulting implications for patient follow-up.

4 Article Are Cystic Pancreatic Neuroendocrine Tumors an Indolent Entity Results from a Single-Center Surgical Series. 2018

Paiella, Salvatore / Marchegiani, Giovanni / Miotto, Marco / Malpaga, Anna / Impellizzeri, Harmony / Montagnini, Greta / Pollini, Tommaso / Nessi, Chiara / Butturini, Giovanni / Capelli, Paola / Posenato, Ilaria / Scarpa, Aldo / D'Onofrio, Mirko / De Robertis, Riccardo / Cingarlini, Sara / Boninsegna, Letizia / Bassi, Claudio / Salvia, Roberto / Landoni, Luca. · ·Neuroendocrinology · Pubmed #28586782.

ABSTRACT: INTRODUCTION: Cystic pancreatic neuroendocrine tumors (CPanNETs) represent an uncommon variant of pancreatic neuroendocrine tumors (PanNETs). Due to their rarity, there is a lack of knowledge with regard to clinical features and postoperative outcome. METHODS: The prospectively maintained surgical database of a high-volume institution was queried, and 46 resected CPanNETs were detected from 1988 to 2015. Clinical, demographic, and pathological features and survival outcomes of CPanNETs were described and matched with a population of 92 solid PanNETs (SPanNETs) for comparison. RESULTS: CPanNETs accounted for 7.8% of the overall number of resected PanNETs (46/587). CPanNETs were mostly sporadic (n = 42, 91%) and nonfunctioning (39%). Two functioning CPanNETs were detected (4.3%), and they were 2 gastrinomas. The median tumor diameter was 30 mm (range 10-120). All tumors were well differentiated, with 38 (82.6%) G1 and 8 (17.4%) G2 tumors. Overall, no CPanNET showed a Ki-67 >5%. A correct preoperative diagnosis of a CPanNET was made in half of the cases. After a median follow-up of >70 months, the 5- and 10-year overall survival of resected CPanNETs was 93.8 and 62.5%, respectively, compared to 92.7 and 84.6% for SPanNETs (p > 0.05). The 5- and 10-year disease-free survival rates were 94.5 and 88.2% for CPanNETs and 81.8 and 78.9% for SPanNETs, respectively (p > 0.05). CONCLUSION: In the setting of a surgical cohort, CPanNETs are rare, nonfunctional, and well-differentiated neoplasms. After surgical resection, they share the excellent outcome of their well-differentiated solid counterparts for both survival and recurrence.

5 Article Comparison of imaging-based and pathological dimensions in pancreatic neuroendocrine tumors. 2017

Paiella, Salvatore / Impellizzeri, Harmony / Zanolin, Elisabetta / Marchegiani, Giovanni / Miotto, Marco / Malpaga, Anna / De Robertis, Riccardo / D'Onofrio, Mirko / Rusev, Borislav / Capelli, Paola / Cingarlini, Sara / Butturini, Giovanni / Davì, Maria Vittoria / Amodio, Antonio / Bassi, Claudio / Scarpa, Aldo / Salvia, Roberto / Landoni, Luca. ·Salvatore Paiella, Harmony Impellizzeri, Giovanni Marchegiani, Marco Miotto, Anna Malpaga, Claudio Bassi, Roberto Salvia, Luca Landoni, General and Pancreatic Surgery Department, Pancreas Institute, University and Hospital Trust of Verona, 37134 Verona, Italy. ·World J Gastroenterol · Pubmed #28533666.

ABSTRACT: AIM: To establish the ability of magnetic resonance (MR) and computer tomography (CT) to predict pathologic dimensions of pancreatic neuroendocrine tumors (PanNET) in a caseload of a tertiary referral center. METHODS: Patients submitted to surgery for PanNET at the Surgical Unit of the Pancreas Institute with at least 1 preoperative imaging examination (MR or CT scan) from January 2005 to December 2015 were included and data retrospectively collected. Exclusion criteria were: multifocal lesions, genetic syndromes, microadenomas or mixed tumors, metastatic disease and neoadjuvant therapy. Bland-Altman (BA) and Mountain-Plot (MP) statistics were used to compare size measured by each modality with the pathology size. Passing-Bablok (PB) regression analysis was used to check the agreement between MR and CT. RESULTS: Our study population consisted of 292 patients. Seventy-nine (27.1%) were functioning PanNET. The mean biases were 0.17 ± 7.99 mm, 1 ± 8.51 mm and 0.23 ± 9 mm, 1.2 ± 9.8 mm for MR and CT, considering the overall population and the subgroup of non-functioning- PanNET, respectively. Limits of agreement (LOA) included the vast majority of observations, indicating a good agreement between imaging and pathology. The MP further confirmed this finding and showed that the two methods are unbiased with respect to each other. Considering ≤ 2 cm non-functioning-PanNET, no statistical significance was found in the size estimation rate of MR and CT ( CONCLUSION: MR and CT scan are accurate and interchangeable imaging techniques in predicting pathologic dimensions of PanNET.

6 Article Whole-genome landscape of pancreatic neuroendocrine tumours. 2017

Scarpa, Aldo / Chang, David K / Nones, Katia / Corbo, Vincenzo / Patch, Ann-Marie / Bailey, Peter / Lawlor, Rita T / Johns, Amber L / Miller, David K / Mafficini, Andrea / Rusev, Borislav / Scardoni, Maria / Antonello, Davide / Barbi, Stefano / Sikora, Katarzyna O / Cingarlini, Sara / Vicentini, Caterina / McKay, Skye / Quinn, Michael C J / Bruxner, Timothy J C / Christ, Angelika N / Harliwong, Ivon / Idrisoglu, Senel / McLean, Suzanne / Nourse, Craig / Nourbakhsh, Ehsan / Wilson, Peter J / Anderson, Matthew J / Fink, J Lynn / Newell, Felicity / Waddell, Nick / Holmes, Oliver / Kazakoff, Stephen H / Leonard, Conrad / Wood, Scott / Xu, Qinying / Nagaraj, Shivashankar Hiriyur / Amato, Eliana / Dalai, Irene / Bersani, Samantha / Cataldo, Ivana / Dei Tos, Angelo P / Capelli, Paola / Davì, Maria Vittoria / Landoni, Luca / Malpaga, Anna / Miotto, Marco / Whitehall, Vicki L J / Leggett, Barbara A / Harris, Janelle L / Harris, Jonathan / Jones, Marc D / Humphris, Jeremy / Chantrill, Lorraine A / Chin, Venessa / Nagrial, Adnan M / Pajic, Marina / Scarlett, Christopher J / Pinho, Andreia / Rooman, Ilse / Toon, Christopher / Wu, Jianmin / Pinese, Mark / Cowley, Mark / Barbour, Andrew / Mawson, Amanda / Humphrey, Emily S / Colvin, Emily K / Chou, Angela / Lovell, Jessica A / Jamieson, Nigel B / Duthie, Fraser / Gingras, Marie-Claude / Fisher, William E / Dagg, Rebecca A / Lau, Loretta M S / Lee, Michael / Pickett, Hilda A / Reddel, Roger R / Samra, Jaswinder S / Kench, James G / Merrett, Neil D / Epari, Krishna / Nguyen, Nam Q / Zeps, Nikolajs / Falconi, Massimo / Simbolo, Michele / Butturini, Giovanni / Van Buren, George / Partelli, Stefano / Fassan, Matteo / Anonymous6880896 / Khanna, Kum Kum / Gill, Anthony J / Wheeler, David A / Gibbs, Richard A / Musgrove, Elizabeth A / Bassi, Claudio / Tortora, Giampaolo / Pederzoli, Paolo / Pearson, John V / Waddell, Nicola / Biankin, Andrew V / Grimmond, Sean M. ·ARC-Net Centre for Applied Research on Cancer, University and Hospital Trust of Verona, Verona 37134, Italy. · Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona 37134, Italy. · Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Switchback Road, Bearsden, Glasgow G61 1QH, UK. · West of Scotland Pancreatic Unit, Glasgow Royal Infirmary, Glasgow G31 2ER, UK. · The Kinghorn Cancer Centre, Cancer Division, Garvan Institute of Medical Research, University of New South Wales, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia. · Department of Surgery, Bankstown Hospital, Eldridge Road, Bankstown, Sydney, New South Wales 2200, Australia. · South Western Sydney Clinical School, Faculty of Medicine, University of New South Wales, Liverpool, New South Wales 2170, Australia. · QIMR Berghofer Medical Research Institute, Herston Road, Brisbane 4006, Australia. · Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia. · Department of Surgery, Pancreas Institute, University and Hospital Trust of Verona, Verona 37134, Italy. · Medical Oncology, University and Hospital Trust of Verona, Verona, Italy. · Department of Pathology, General Hospital of Treviso, Department of Medicine, University of Padua, Italy. · Department of Medicine, Section of Endocrinology, University and Hospital Trust of Verona, Verona, Italy. · The University of Queensland, School of Medicine, Brisbane 4006, Australia. · Pathology Queensland, Brisbane 4006, Australia. · Royal Brisbane and Women's Hospital, Department of Gastroenterology and Hepatology, Brisbane 4006, Australia. · Institute of Health Biomedical Innovation, Queensland University of Technology, Brisbane, Australia. · School of Environmental &Life Sciences, University of Newcastle, Ourimbah, New South Wales 2258, Australia. · Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Centre for Cancer Bioinformatics, Peking University Cancer Hospital &Institute, Beijing 100142, China. · Department of Surgery, Princess Alexandra Hospital, Ipswich Rd, Woollongabba, Queensland 4102, Australia. · Department of Anatomical Pathology. St Vincent's Hospital, Sydney, New South Wales 2010, Australia. · Academic Unit of Surgery, School of Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow Royal Infirmary, Glasgow G4 OSF, UK. · Department of Pathology, Queen Elizabeth University Hospital, Greater Glasgow &Clyde NHS, Glasgow G51 4TF, UK. · Department of Molecular and Human Genetics, Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, MS226, Houston, Texas 77030-3411, USA. · Michael E. DeBakey Department of Surgery and The Elkins Pancreas Center, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030-3411, USA. · Children's Hospital at Westmead, Westmead, New South Wales 2145, Australia. · Children's Medical Research Institute, The University of Sydney, Westmead, New South Wales 2145, Australia. · Department of Surgery, Royal North Shore Hospital, St Leonards, Sydney, New South Wales 2065, Australia. · University of Sydney. Sydney, New South Wales 2006, Australia. · Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, Camperdown, New South Wales 2050, Australia. · School of Medicine, Western Sydney University, Penrith, New South Wales 2175, Australia. · Department of Surgery, Fremantle Hospital, Alma Street, Fremantle, Western Australia 6160, Australia. · Department of Gastroenterology, Royal Adelaide Hospital, North Terrace, Adelaide, South Australia 5000, Australia. · School of Surgery M507, University of Western Australia, 35 Stirling Highway, Nedlands, Western Australia 6009, Australia. · St John of God Pathology, 12 Salvado Rd, Subiaco, Western Australia 6008, Australia. · Bendat Family Comprehensive Cancer Centre, St John of God Subiaco Hospital, Subiaco, Western Australia 6008, Australia. · University of Melbourne Centre for Cancer Research, University of Melbourne, Melbourne, 3010, Victoria, Australia. ·Nature · Pubmed #28199314.

ABSTRACT: The diagnosis of pancreatic neuroendocrine tumours (PanNETs) is increasing owing to more sensitive detection methods, and this increase is creating challenges for clinical management. We performed whole-genome sequencing of 102 primary PanNETs and defined the genomic events that characterize their pathogenesis. Here we describe the mutational signatures they harbour, including a deficiency in G:C > T:A base excision repair due to inactivation of MUTYH, which encodes a DNA glycosylase. Clinically sporadic PanNETs contain a larger-than-expected proportion of germline mutations, including previously unreported mutations in the DNA repair genes MUTYH, CHEK2 and BRCA2. Together with mutations in MEN1 and VHL, these mutations occur in 17% of patients. Somatic mutations, including point mutations and gene fusions, were commonly found in genes involved in four main pathways: chromatin remodelling, DNA damage repair, activation of mTOR signalling (including previously undescribed EWSR1 gene fusions), and telomere maintenance. In addition, our gene expression analyses identified a subgroup of tumours associated with hypoxia and HIF signalling.