scholarly journals Albumin to alkaline phosphatase ratio: does it predict survival in grade 1 and grade 2 neuroendocrine tumors?

2019 ◽  
Author(s):  
Yusuf Acikgoz ◽  
Öznur Bal ◽  
Mutlu Doğan
Keyword(s):  
Alkaline Phosphatase ◽  
Neuroendocrine Tumors ◽  
Prognostic Value ◽  
Proliferation Index ◽  
Rank Test ◽  
P Value ◽  
Albumin Concentration ◽  
Ki 67 ◽  
Registration Data ◽  
Well Differentiated

Abstract BACKGROUND: Neuroendocrine tumors (NETs) are very heterogeneous tumors. Although it is classified according to Ki-67 proliferation index and mitotic count, their behavior may greatly vary even in the same group. Therefore, more accurate prognostic markers are required to predict prognosis in patients with well differentiated NETs. This study is aimed to evaluate prognostic value of albumin to alkaline phosphatase ratio (AAPR) in patients with well differentiated neuroendocrine tumors. PATIENTS AND METHODS: A total of 110 patients included in this study. Patients' data were obtained from registration data-base of the hospital and reviewed retrospectively. AAPR was calculated by dividing albumin concentration (g/dl) to alkaline phosphatase level (U/L). Cut off value for AAPR was determined by Receiver Operating Characteristic (ROC) analysis. Survival analysis was performed by Kaplan-Meier method with the Long-rank test. We reported two-sided p value and p<0.05 was considered statistically significant.RESULT: The calculated optimum cut-off value for AAPR was 0.028. Patients were divided into two groups as patients with AAPR ≤0.028 (n:22, 20%) and, with AAPR >0.028 (n:88, 80%). Patients with AAPR >0.028 had statistically longer overall survival (OS) compared with patients with ≤0.028 ( NR vs 96,8 months, p=0.001). Additionally, AAPR has been shown to be an independent prognostic factor for OS in in multivariate analysis (HR=4.942, 95% CI=1.693-14.420, p=0.003).CONCLUSION: Patients with higher AAPR had more favourable prognosis compared to patients with lower AAPR. We demonstrated that AAPR can be of prognostic value in well-differentiated NETs.

Kit Protein (CD 117) and Proliferation Index (Ki-67) Evaluation in Well and Poorly Differentiated Neuroendocrine Tumors

2006 ◽  
Vol 92 (6) ◽  
pp. 531-535 ◽  
Author(s):  
Leonardo Ferrari ◽  
Silvia Della Torre ◽  
Paola Collini ◽  
Antonia Martinetti ◽  
Giuseppe Procopio ◽  
...  
Keyword(s):  
Protein Expression ◽  
Neuroendocrine Tumors ◽  
Histological Grade ◽  
Proliferation Index ◽  
Tyrosine Kinase Receptor ◽  
Ki 67 ◽  
Autocrine Loop ◽  
Kit Receptor ◽  
Poorly Differentiated ◽  
Well Differentiated

Aims and background Kit protein expression seems to be associated with a poor outcome in cancer patients and may be an important target for new anticancer drugs. We examined by immunohistochemistry the presence of Kit protein in neuroendocrine tumors (NETs) to explore its relationship with histological grade and proliferation index. Patients and methods Thirty-five tumor specimens from patients with 24 well differentiated and 11 poorly differentiated NETs were examined for the presence of Kit protein and the proliferation index marker Ki-67. Results Eleven specimens were positive for Kit protein expression, 8 of which had poorly-differentiated histology and only 3 had well-differentiated histology. Most of the tumors showing immunopositivity for Kit protein were also characterized by a high proliferation index. Conclusions Immunohistochemical positivity for Kit protein is mainly related to poorly differentiated NETs. In our study, the percentage of tumors with immunopositivity for Kit protein was lower than that observed by other authors. This difference could be attributable to the different immunohistochemistry procedures used and to the biological heterogeneity of NETs. The number of Kit protein-positive NETs may justify targeted therapy with a tyrosine kinase receptor-associated inhibitor only in a selected subset of patients, whenever no other therapy is available and an autocrine loop sustained by the Kit receptor and its specific ligand has been demonstrated.

scholarly journals Molecular Pathology of Well-Differentiated Pulmonary and Thymic Neuroendocrine Tumors: What Do Pathologists Need to Know?

2021 ◽  
Vol 32 (1) ◽  
pp. 154-168 ◽  
Author(s):  
Marco Volante ◽  
Ozgur Mete ◽  
Giuseppe Pelosi ◽  
Anja C. Roden ◽  
Ernst Jan M. Speel ◽  
...  
Keyword(s):  
Neuroendocrine Tumors ◽  
Young Patients ◽  
Carcinoid Tumors ◽  
Neuroendocrine Neoplasms ◽  
Grey Zone ◽  
Cell Hyperplasia ◽  
Ki 67 ◽  
Familial Form ◽  
Well Differentiated ◽  
Neuroendocrine Carcinomas

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.

Erratum to: KI-67 heterogeneity in well differentiated gastro-entero-pancreatic neuroendocrine tumors: when is biopsy reliable for grade assessment?

Endocrine ◽  
2017 ◽  
Vol 57 (3) ◽  
pp. 503-503
Author(s):  
Federica Grillo ◽  
Luca Valle ◽  
Diego Ferone ◽  
Manuela Albertelli ◽  
Maria Pia Brisigotti ◽  
...  
Keyword(s):  
Neuroendocrine Tumors ◽  
Pancreatic Neuroendocrine Tumors ◽  
Ki 67 ◽  
Well Differentiated ◽  
Grade Assessment

scholarly journals Expression of the phosphorylated variant of the AKT1-kinase (p-AKT1) in well-differentiated pancreatic neuroendocrine tumors: immunohistochemical evaluation

2018 ◽  
Vol 46 (4) ◽  
pp. 314-322
Author(s):  
V. V. Delektorskaya ◽  
O. N. Solov'eva ◽  
G. Yu. Chemeris ◽  
Yu. I. Patyutko
Keyword(s):  
Liver Metastases ◽  
Neuroendocrine Tumors ◽  
Treatment Effectiveness ◽  
Disease Free Survival ◽  
Immunohistochemical Analysis ◽  
Pancreatic Neuroendocrine Tumors ◽  
Ki 67 ◽  
New Treatment ◽  
Well Differentiated ◽  
High Level

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.

scholarly journals Prediction of Progression-Free Survival in Patients With Advanced, Well-Differentiated, Neuroendocrine Tumors Being Treated With a Somatostatin Analog: The GETNE-TRASGU Study

2019 ◽  
Vol 37 (28) ◽  
pp. 2571-2580 ◽  
Author(s):  
Alberto Carmona-Bayonas ◽  
Paula Jiménez-Fonseca ◽  
Ángela Lamarca ◽  
Jorge Barriuso ◽  
Ángel Castaño ◽  
...  
Keyword(s):  
Neuroendocrine Tumors ◽  
Failure Time ◽  
Somatostatin Analogs ◽  
Progression Free Survival ◽  
Accelerated Failure Time Model ◽  
Endocrine Tumors ◽  
First Line ◽  
Ki 67 ◽  
Free Survival ◽  
Well Differentiated

PURPOSE Somatostatin analogs (SSAs) are recommended for the first-line treatment of most patients with well-differentiated, gastroenteropancreatic (GEP) neuroendocrine tumors; however, benefit from treatment is heterogeneous. The aim of the current study was to develop and validate a progression-free survival (PFS) prediction model in SSA-treated patients. PATIENTS AND METHODS We extracted data from the Spanish Group of Neuroendocrine and Endocrine Tumors Registry (R-GETNE). Patient eligibility criteria included GEP primary, Ki-67 of 20% or less, and first-line SSA monotherapy for advanced disease. An accelerated failure time model was developed to predict PFS, which was represented as a nomogram and an online calculator. The nomogram was externally validated in an independent series of consecutive eligible patients (The Christie NHS Foundation Trust, Manchester, United Kingdom). RESULTS We recruited 535 patients (R-GETNE, n = 438; Manchester, n = 97). Median PFS and overall survival in the derivation cohort were 28.7 (95% CI, 23.8 to 31.1) and 85.9 months (95% CI, 71.5 to 96.7 months), respectively. Nine covariates significantly associated with PFS were primary tumor location, Ki-67 percentage, neutrophil-to-lymphocyte ratio, alkaline phosphatase, extent of liver involvement, presence of bone and peritoneal metastases, documented progression status, and the presence of symptoms when initiating SSA. The GETNE-TRASGU (Treated With Analog of Somatostatin in Gastroenteropancreatic and Unknown Primary NETs) model demonstrated suitable calibration, as well as fair discrimination ability with a C-index value of 0.714 (95% CI, 0.680 to 0.747) and 0.732 (95% CI, 0.658 to 0.806) in the derivation and validation series, respectively. CONCLUSION The GETNE-TRASGU evidence-based prognostic tool stratifies patients with GEP neuroendocrine tumors receiving SSA treatment according to their estimated PFS. This nomogram may be useful when stratifying patients with neuroendocrine tumors in future trials. Furthermore, it could be a valuable tool for making treatment decisions in daily clinical practice.

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

2017 ◽  
Vol 106 (3) ◽  
pp. 234-241 ◽  
Author(s):  
Salvatore Paiella ◽  
Giovanni Marchegiani ◽  
Marco Miotto ◽  
Anna Malpaga ◽  
Harmony Impellizzeri ◽  
...  
Keyword(s):  
Neuroendocrine Tumors ◽  
Survival Rates ◽  
Disease Free Survival ◽  
Postoperative Outcome ◽  
Tumor Diameter ◽  
Pancreatic Neuroendocrine Tumors ◽  
Ki 67 ◽  
Excellent Outcome ◽  
Comparison Results ◽  
Well Differentiated

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.

scholarly journals Chromogranin A, Ki-67 index and IGF-related genes in patients with neuroendocrine tumors

2013 ◽  
Vol 2 (4) ◽  
pp. 172-177 ◽  
Author(s):  
R C S van Adrichem ◽  
L J Hofland ◽  
R A Feelders ◽  
M C De Martino ◽  
P M van Koetsveld ◽  
...  
Keyword(s):  
Mrna Expression ◽  
Neuroendocrine Tumors ◽  
Chromogranin A ◽  
Insulin Receptors ◽  
Proliferation Index ◽  
Gastroenteropancreatic Neuroendocrine Tumors ◽  
Ki 67 ◽  
Igf Binding Proteins ◽  
Igf Receptors ◽  
Igf Binding

Chromogranin A (CgA) and the Ki-67 proliferation index are considered as important biochemical and pathological markers for clinical behaviour of gastroenteropancreatic neuroendocrine tumors (GEP NETs), respectively. The IGF system has been suggested as an important regulator of GEP NET proliferation and differentiation. A possible relationship between serum CgA (sCgA), Ki-67 proliferation index, and expression of IGF-related genes in patients with GEP NETs has not been demonstrated yet. This study investigates the relationship between sCgA, the Ki-67 proliferation index, and the expression of IGF-related genes in GEP NET tissues and their relation with 5-year survival. Tumor and blood samples from 22 GEP NET patients were studied. Tumoral mRNA expression of IGF-related genes (IGFs: IGF1, IGF2; IGF receptors: IGF1R, IGF2R; insulin receptors: subtype A (IR-A) and B (IR-B); IGF-binding proteins (IGFBPs): IGFBP1, IGFBP2, IGFBP3, and IGFBP6) was measured using quantitative RT-PCR. Ki-67 proliferation index was determined using immunohistochemistry. sCgA was measured with ELISA. Five-year survival in patients with nonelevated sCgA (n=11) was 91 vs 46% in patients with elevated sCgA (n=11) (P=0.006). IR-A mRNA expression was significantly higher in tumors obtained from patients with elevated sCgA than in those from patients with nonelevated sCgA (6.42±2.08 vs 2.60±0.40; P=0.04). This data suggests that sCgA correlates well with 5-year survival of GEP NET patients, and that IR-A mRNA expression correlates well with tumor mass in GEP NET patients.

Sporadic Gastric Well-Differentiated Neuroendocrine Tumors Have a Higher Ki-67 Proliferative Index

2016 ◽  
Vol 27 (3) ◽  
pp. 259-267 ◽  
Author(s):  
Hee Eun Lee ◽  
Taofic Mounajjed ◽  
Lori A. Erickson ◽  
Tsung-Teh Wu
Keyword(s):  
Neuroendocrine Tumors ◽  
Proliferative Index ◽  
Ki 67 ◽  
Well Differentiated

Canine Neuroendocrine Tumors of the Pancreas: A Study Using Image Analysis Techniques for the Discrimination of Metastatic Versus Nonmetastatic Tumors

1997 ◽  
Vol 34 (2) ◽  
pp. 138-145 ◽  
Author(s):  
G. Minkus ◽  
U. Jütting ◽  
M. Aubele ◽  
K. Rodenacker ◽  
P. Gais ◽  
...  
Keyword(s):  
Image Analysis ◽  
Neuroendocrine Tumors ◽  
Nucleolar Organizer ◽  
Biological Behavior ◽  
Proliferation Index ◽  
Nucleolar Organizer Regions ◽  
Ki 67 ◽  
Analysis Techniques ◽  
Significant Difference ◽  
Image Analysis Techniques

Canine pancreatic neuroendocrine tumors were studied using different image analysis techniques (nuclear image histometry, analysis of argyrophilic proteins of nucleolar organizer regions, determination of the mouse anti-Ki 67 antigen proliferation index, and DNA densitometry) to correlate their biological behavior with objective phenotypic markers. The methods were compared to determine the best method for distinguishing between metastatic and nonmetastatic tumors. Discrimination between the two types of tumor was possible using nuclear image histometry in combination with morphometric analysis of argyrophilic proteins of nucleolar organizer regions. In contrast, the mouse anti-Ki 67 antigen proliferation index, DNA measurement, and immunohistochemical parameters revealed no significant difference between the two types of tumors.

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