Evaluation of the concordance between the stage of the disease and Ki-67 proliferation index in gastroenteropancreatic neuroendocrine tumors

2016 ◽  
Vol 28 (7) ◽  
pp. 836-841 ◽  
Author(s):  
Ersin Özaslan ◽  
Sinan Demir ◽  
Halit Karaca ◽  
Kadri Güven
Keyword(s):  
Neuroendocrine Tumors ◽  
Proliferation Index ◽  
Gastroenteropancreatic Neuroendocrine Tumors ◽  
Ki 67

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.

Comparison of Monitor-Image and Printout-Image Methods in Ki-67 Scoring of Gastroenteropancreatic Neuroendocrine Tumors

2018 ◽  
Vol 30 (1) ◽  
pp. 17-23 ◽  
Author(s):  
Fatih Mert Dogukan ◽  
Banu Yilmaz Ozguven ◽  
Rabia Dogukan ◽  
Fevziye Kabukcuoglu
Keyword(s):  
Neuroendocrine Tumors ◽  
Gastroenteropancreatic Neuroendocrine Tumors ◽  
Ki 67 ◽  
Monitor Image

Evaluation of gastroenteropancreatic neuroendocrine tumors for Ki 67, p16 and cyclin D1 expression

2011 ◽  
Vol 12 (3) ◽  
pp. 105-112
Author(s):  
Gulzade Ozyalvacli ◽  
Esra Pasaoglu ◽  
Zuhal Gucin ◽  
Kemal Behzatoglu ◽  
Feray Gunver ◽  
...  
Keyword(s):  
Cyclin D1 ◽  
Neuroendocrine Tumors ◽  
Gastroenteropancreatic Neuroendocrine Tumors ◽  
Ki 67

STAT3 inhibition for gastroenteropancreatic neuroendocrine tumors: Potential for a new therapeutic target?

2018 ◽  
Vol 36 (4_suppl) ◽  
pp. 340-340
Author(s):  
Alexandra G Lopez-Aguiar ◽  
Lauren McLendon Postlewait ◽  
Mohammad Zaidi ◽  
Kristen Zhelnin ◽  
Alyssa Krasinskas ◽  
...  
Keyword(s):  
Neuroendocrine Tumors ◽  
Lymphovascular Invasion ◽  
Therapeutic Option ◽  
Microvascular Density ◽  
Vascular Tumors ◽  
Vegf Expression ◽  
Gastroenteropancreatic Neuroendocrine Tumors ◽  
Ki 67 ◽  
Low Expression ◽  
Stat3 Inhibition

340 Background: Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are highly vascular tumors with similar treatments applied to all sites. The expression of pro-angiogenic factors (STAT3, VEGF, and HIF-1α) and their association with known adverse pathologic factors and disease recurrence after resection is not known. Methods: All pts with non-metastatic primary GEP-NETs who underwent curative-intent resection at a single institution from 2000-2013 were included. Immunohistochemistry was performed for STAT3, VEGF, HIF-1α, Ki-67 index, and CD31 using tissue microarrays made in triplicate by a pathologist blinded to other clinicopathologic variables. STAT3, VEGF, and HIF-1α were categorized into high vs low expression; CD31 was dichotomized at the median value. Primary outcome was 3-yr recurrence-free survival (3-yr RFS); secondary outcomes were correlation of STAT3, VEGF, and HIF-1α expression with Ki-67 index, adverse pathologic factors, and CD31 expression, a marker of microvascular density. Results: Of 265 GEP-NETs resected, 144 had tissue for analysis. STAT3 expression was high in 12 (8%) and low in 132 (92%). VEGF expression was high in 19 (13%) and low in 125 (87%), and HIF-1α was high in 1 (1%) and low in 143 (99%). High STAT3 expression was associated with worse 3-yr RFS compared to low expression (55% vs 84%; p = 0.003). High VEGF expression had a 3-yr RFS of 76% compared to 82% for low expression (p = 0.098); HIF-1α expression was not associated with RFS. Ki-67 ≥3% was associated with worse 3-yr RFS (≥3%: 51% vs < 3%: 84%; p < 0.001), as was the presence of lymphovascular invasion (LVI: 72% vs 95%; p = 0.001) and increased microvascular density per µm2 (CD31 > median: 75% vs CD31 < median: 86%; p = 0.043). High STAT3 expressing tumors were more likely to have a Ki-67≥3% (42% vs 7%; p < 0.001). LVI was present in 82% of high STAT3 tumors compared to only 50% with low STAT3 (p = 0.058). CD31 overexpression was similar between groups (58% vs 49%; p = 0.5). Conclusions: In resected GEP-NETs, high STAT3 expression is associated with an increased Ki-67 index, presence of lymphovascular invasion, and worse 3-yr RFS. STAT3 inhibition may be a novel therapeutic option for patients undergoing resection of high-risk tumors.

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.

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.

Comparison of Manual and Digital Assessment of KI-67 in Neuroendocrine Tumors

2020 ◽  
Vol 154 (Supplement_1) ◽  
pp. S125-S125
Author(s):  
B S Raju ◽  
M Quinton ◽  
L Hassell
Keyword(s):  
Image Analysis ◽  
Neuroendocrine Tumors ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Hot Spot ◽  
World Health ◽  
Proliferation Index ◽  
Digital Analysis ◽  
Ki 67 ◽  
Digital Assessment

Abstract Introduction/Objective Proliferative activity is an essential prognostic and treatment indicator for neuroendocrine tumors (NET). Ki-67 proliferation index, if reported by unaided microscopic estimation on hot-spot locations could lead to variability and inconsistencies. This study aims to compare the Ki-67 assessment of NETs by visual estimation versus automated digital image analysis (Roche iCoreo/Virtuoso). Methods 212 patients with Ki-67-graded GI NETs (117 G1; 61 G2; 34 G3) from 2010 to 2019 were reassessed using digital image analysis quantification of hot spot areas of at least 500 cells (average 800 cells). Revised tumor grades were assigned according to the European Neuroendocrine Tumor Society guidelines and the 2010 World Health Organization classification and compared to initially reported grade. Results We found 75% concordance for G1, with 22% of cases upgraded to G2 and 3% of cases upgraded to G3. For G2, there was 70.5% agreement, with 13.1% of cases downgraded to G1 and 16.4% upgraded to G3. For G3, there was 100% agreement, (kappa=0.64, overall). Retrospective review of discordant G3 cases revealed cases with known metastasis, small fragments of tissue, or polyps. Scanning and scoring required approximately 10 minutes per case. Conclusion Our data shows the time/effort difference of visually estimating versus automated digital analysis may lead to significant classification errors in these tumors. Although digital analysis has limitations, including tumor heterogeneity, misidentification of tumor cells, and poor immunostaining which could require manual counting by a pathologist, this rigor should be reinforced and explicitly stated to increase accuracy and reproducibility of grading.

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