scholarly journals Synaptophysin-Ki67 double stain: a novel technique that improves interobserver agreement in the grading of well-differentiated gastrointestinal neuroendocrine tumors

2017 ◽  
Vol 30 (4) ◽  
pp. 620-629 ◽  
Author(s):  
Karen Matsukuma ◽  
Kristin A Olson ◽  
Dorina Gui ◽  
Regina Gandour-Edwards ◽  
Yueju Li ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Philippe Thuillier ◽  
David Bourhis ◽  
Jean Philippe Metges ◽  
Romain Le Pennec ◽  
Karim Amrane ◽  
...  

AbstractTo present the feasibility of a dynamic whole-body (DWB) 68Ga-DOTATOC-PET/CT acquisition in patients with well-differentiated neuroendocrine tumors (WD-NETs). Sixty-one patients who underwent a DWB 68Ga-DOTATOC-PET/CT for a histologically proven/highly suspected WD-NET were prospectively included. The acquisition consisted in single-bed dynamic acquisition centered on the heart, followed by the DWB and static acquisitions. For liver, spleen and tumor (1–5/patient), Ki values (in ml/min/100 ml) were calculated according to Patlak's analysis and tumor-to-liver (TLR-Ki) and tumor-to-spleen ratios (TSR-Ki) were recorded. Ki-based parameters were compared to static parameters (SUVmax/SUVmean, TLR/TSRmean, according to liver/spleen SUVmean), in the whole-cohort and according to the PET system (analog/digital). A correlation analysis between SUVmean/Ki was performed using linear and non-linear regressions. Ki-liver was not influenced by the PET system used, unlike SUVmax/SUVmean. The regression analysis showed a non-linear relation between Ki/SUVmean (R2 = 0.55,0.68 and 0.71 for liver, spleen and tumor uptake, respectively) and a linear relation between TLRmean/TLR-Ki (R2 = 0.75). These results were not affected by the PET system, on the contrary of the relation between TSRmean/TSR-Ki (R2 = 0.94 and 0.73 using linear and non-linear regressions in digital and analog systems, respectively). Our study is the first showing the feasibility of a DWB 68Ga-DOTATOC-PET/CT acquisition in WD-NETs.



2021 ◽  
Author(s):  
Jane E. Rogers ◽  
Michael Lam ◽  
Daniel M. Halperin ◽  
Cecile G. Dagohoy ◽  
James C. Yao ◽  
...  

We evaluated outcomes of treatment with 5-fluorouracil (5-FU), doxorubicin, and streptozocin (FAS) in well-differentiated pancreatic neuroendocrine tumors (PanNETs) and its impact on subsequent therapy (everolimus or temozolomide). Advanced PanNET patients treated at our center from 1992 to 2013 were retrospectively reviewed. Patients received bolus 5-FU (400 mg/m2), streptozocin (400 mg/m2) (both IV, days 1-5) and doxorubicin (40 mg/m2 IV, day 1) every 28 days. Overall response rate (ORR) was assessed using RECIST version 1.1. Of 243 eligible patients, 220 were evaluable for ORR, progression-free survival (PFS), and toxicity. Most (90%) had metastatic, nonfunctional PanNETs; 14% had prior therapy. ORR to FAS was 41% (95% confidence interval [CI]: 36-48%). Median follow-up was 61 months. Median PFS was 20 (95% CI: 15-23) months; median overall survival (OS) was 63 (95% CI: 60-71) months. Cox regression analyses suggested improvement with first-line vs subsequent lines of FAS therapy. Main adverse events ≥ grade 3 were neutropenia (10%) and nausea/vomiting (5.5%). Dose reductions were required in 32% of patients. Post-FAS everolimus (n=108; 68% second line) had a median PFS of 10 (95% CI: 8-14) months. Post-FAS temozolomide (n=60; 53% > fourth line) had an ORR of 13% and median PFS of 5.2 (95% CI: 4-12) months. In this largest reported cohort of PanNETs treated with chemotherapy, FAS demonstrated activity without significant safety concerns. FAS did not appear to affect subsequent PFS with everolimus; this sequence is being evaluated prospectively. Responses were noted with subsequent temozolomide-based regimens although PFS was possibly limited by line of therapy.



2021 ◽  
Vol 32 (1) ◽  
pp. 154-168 ◽  
Author(s):  
Marco Volante ◽  
Ozgur Mete ◽  
Giuseppe Pelosi ◽  
Anja C. Roden ◽  
Ernst Jan M. Speel ◽  
...  

AbstractThoracic (pulmonary and thymic) neuroendocrine tumors are well-differentiated epithelial neuroendocrine neoplasms that are classified into typical and atypical carcinoid tumors based on mitotic index cut offs and presence or absence of necrosis. This classification scheme is of great prognostic value but designed for surgical specimens, only. Deep molecular characterization of thoracic neuroendocrine tumors highlighted their difference with neuroendocrine carcinomas. Neuroendocrine tumors of the lung are characterized by a low mutational burden, and a high prevalence of mutations in chromatin remodeling and histone modification-related genes, whereas mutations in genes frequently altered in neuroendocrine carcinomas are rare. Molecular profiling divided thymic neuroendocrine tumors into three clusters with distinct clinical outcomes and characterized by a different average of copy number instability. Moreover, integrated histopathological, molecular and clinical evidence supports the existence of a grey zone category between neuroendocrine tumors (carcinoid tumors) and neuroendocrine carcinomas. Indeed, cases with well differentiated morphology but mitotic/Ki-67 indexes close to neuroendocrine carcinomas have been increasingly recognized. These are characterized by specific molecular profiles and have an aggressive clinical behavior. Finally, thoracic neuroendocrine tumors may arise in the background of genetic susceptibility, being MEN1 syndrome the well-defined familial form. However, pathologists should be aware of rarer germline variants that are associated with the concurrence of neuroendocrine tumors of the lung or their precursors (such as DIPNECH) with other neoplasms, including but not limited to breast carcinomas. Therefore, genetic counseling for all young patients with thoracic neuroendocrine neoplasia and/or any patient with pathological evidence of neuroendocrine cell hyperplasia-to-neoplasia progression sequence or multifocal disease should be considered.



Author(s):  
Jonathan Ragheb ◽  
Shruti Mony ◽  
Jason Klapman ◽  
Tolga Erim ◽  
Angela Reagan ◽  
...  


2021 ◽  
Author(s):  
Marc Diedisheim ◽  
Solène Dermine ◽  
Anne Jouinot ◽  
Amandine Septier ◽  
Sébastien Gaujoux ◽  
...  

Duodenopancreatic neuroendocrine tumors (DPNETs) aggressiveness is heterogeneous. Tumor grade and extension are commonly used for prognostic determination. Yet, grade classes are empirically defined, with regular up-dates changing the definition of classes. Genomic screening may provide more objective classes, and reflect tumor biology. The aim of this study was to provide a transcriptome classification of DPNETs. We included 66 DPNETs, covering the entire clinical spectrum of the disease in terms of secretion, grade, and stage. Three distinct molecular groups were identified, associated with distinct outcome (log-rank p<0.01): (i) better-outcome DPNETs with pancreatic beta-cell signature. This group was mainly composed of well-differentiated, grade 1 insulinomas; (ii) poor-outcome DPNETs with pancreatic alpha-cell and hepatic signature. This group included all neuroendocrine carcinomas and grade 3 DPNETs, but also some grade 1 and grade 2 DPNETs; and (iii) intermediate-outcome DPNETs with pancreatic exocrine and progenitor signature. This group included grade 1 and grade 2 DPNETs, with some insulinomas. Fibrinogen gene FGA expression was one of the top most expressed liver gene. FGA expression was associated with disease-free survival (HR=1.13, p=0.005), and could be validated on two independent cohorts. This original pathophysiologic insight provides new prognostic classification perspectives.



Endocrine ◽  
2017 ◽  
Vol 57 (3) ◽  
pp. 503-503
Author(s):  
Federica Grillo ◽  
Luca Valle ◽  
Diego Ferone ◽  
Manuela Albertelli ◽  
Maria Pia Brisigotti ◽  
...  


2018 ◽  
Vol 46 (4) ◽  
pp. 314-322
Author(s):  
V. V. Delektorskaya ◽  
O. N. Solov'eva ◽  
G. Yu. Chemeris ◽  
Yu. I. Patyutko

Background:Well-differentiated pancreatic neuroendocrine tumors (pNETs) represent a group of rare epithelial neoplasms with a highly variable clinical course. AKT1 is one of the most frequently activated protein kinases in pNETs, which promotes the tumor growth and is of interest as a prognostic factor and a target for new treatment approaches.Aim:To study the expression of the phosphorylated variant of AKT1-kinase (p-AKT1) in primary pNETs and their liver metastases and to correlate the results with various clinical and pathological parameters and the disease prognosis.Materials and methods:P-AKT1 expression was studied by the immunohistochemical analysis of the primary lesions and liver metastases in 52 pNETs patients.Results:A high level of cytoplasmic and/or nuclear immunoreactivity was detected in 24/52 of the primary pNETs (46.2%) and in 16/27 of their liver metastases (59.3%). p-AKT1 expression was observed in 3 (21.4%) of NET grade (G) 1, in 14 (46.7%) of NET G2, and in 7 (87.5%) of NET G3. p-AKT1 expression was more frequently identified in pNET G3 category and increased during the tumor progression in metachronous liver metastases, as compared to the corresponding primary tumor. In addition, p-AKT1 positivity was significantly associated with an increase of grade from G1 to G3 (p = 0.004), the Ki-67 index (p = 0.029), the pTNM stage (p = 0.0008), perineural invasion (p = 0.031) and a decrease in disease-free survival (p = 0.05).Conclusion:The results suggest that p-АКТ1 plays an important role in the pathogenesis of pNETs and may be an additional criterion for assessment of the prognosis and treatment effectiveness in this type of tumors.



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