Effect of Tumor Heterogeneity on the Assessment of Ki67 Labeling Index in Well-differentiated Neuroendocrine Tumors Metastatic to the Liver

2011 ◽  
Vol 35 (6) ◽  
pp. 853-860 ◽  
Author(s):  
Zhaohai Yang ◽  
Laura H. Tang ◽  
David S. Klimstra
2020 ◽  
Vol 57 (5) ◽  
pp. 620-622
Author(s):  
Giancarlo Avallone ◽  
Luisa V. Muscatello ◽  
Alessandro Leoni ◽  
Paola Roccabianca ◽  
Elvio Lepri ◽  
...  

Canine liposarcoma is classified as well differentiated (WDL), dedifferentiated (DDL), myxoid (ML), and pleomorphic (PL). Overexpression of the protooncogene MDM2 has been reported in WDL and DDL, but little is known regarding the role of p53 in their tumorigenesis. The aim of this study was to assess p53 expression in canine liposarcoma and compare it with subtype, grade, mitotic count (MC), Ki67 labeling index (LI), and MDM2 expression. Forty-seven cases were included (13 WDL, 3 DDL, 7 ML, and 24 PL); 17 were MDM2-positive (13 WDL, 3DDL, and 1ML). Five were p53-positive (4 ML and 1 WDL) but DDL and PL were consistently negative. p53 expression correlated with higher Ki67-LI, higher MC, and myxoid histotype. No correlation was found with grade and MDM2 expression. Based on these results canine liposarcoma seems to embody a group of neoplasms whose subtypes, especially ML, may represent distinct diseases rather than morphological variants of the same entity.


2015 ◽  
Vol 467 (6) ◽  
pp. 711-722 ◽  
Author(s):  
Benoit Plancoulaine ◽  
Aida Laurinaviciene ◽  
Paulette Herlin ◽  
Justinas Besusparis ◽  
Raimundas Meskauskas ◽  
...  

Neurocirugía ◽  
2021 ◽  
Author(s):  
Satoshi Matsuo ◽  
Toshiyuki Amano ◽  
Yuichiro Miyamatsu ◽  
Daisuke Hayashi ◽  
Sojiro Yamashita ◽  
...  

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 ◽  
Vol 7 (1) ◽  
Author(s):  
Soonmyung Paik ◽  
Youngmee Kwon ◽  
Moo Hyun Lee ◽  
Ji Ye Kim ◽  
Da Kyung Lee ◽  
...  

AbstractAlthough Ki67 labeling index is a potential predictive marker for chemotherapy benefit, its clinical utility has been limited by the lack of a standard scoring method resulting in poor interobserver reproducibility. Especially, there is no consensus on the use of average versus hotspot score for reporting. In order to determine the best method for Ki67 scoring and validate manual scoring method proposed by the International Ki67 Working Group (IKWG), we systematically compared average versus hotspot score in 240 cases with a public domain image analysis program QuPath. We used OncotypeDx Recurrence Score (RS) as a benchmark to compare the potential clinical utility of each scoring methods. Both average and hotspot scores showed statistically significant but only modest correlation with OncotypeDx RS. Only hotspot score could meaningfully distinguish RS low-risk versus high-risk patients. However, hotspot score was less reproducible limiting its clinical utility. In summary, our data demonstrate that utility of the Ki67 labeling index is influenced by the choice of scoring method.


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