scholarly journals Revision 2: an immunohistochemical approach and evaluation of solid pseudopapillary tumour of the pancreas

2008 ◽  
Vol 61 (11) ◽  
pp. 1153-1159 ◽  
Author(s):  
S Serra ◽  
R Chetty
Keyword(s):  
Renal Cell Carcinoma ◽  
Neuroendocrine Tumours ◽  
Clear Cell ◽  
Correct Diagnosis ◽  
Gene Mutations ◽  
Tumour Cells ◽  
Nuclear Staining ◽  
Progesterone Receptor Positivity ◽  
Pancreatic Neuroendocrine Tumours ◽  
E Cadherin

Solid pseudopapillary tumours (SPT) of the pancreas are uncommon, but with widespread and increased imaging, several of these lesions are coming to light incidentally and are subject to needle biopsies. On limited material and especially the solid or clear cell, variants of SPT can morphologically mimic most notably pancreatic neuroendocrine tumours and even metastatic renal cell carcinoma or melanoma. In this context, immunohistochemistry is important and useful in helping to reach the correct diagnosis. Several antibodies have been used in the immunohistochemical evaluation of SPT. As with most tumours, no one marker is specific, but rather a core panel is advocated. Recently, both β-catenin and E-cadherin have been shown to be of value in SPT. Nuclear and cytoplasmic decoration of tumour cells by β-catenin is seen in almost 100% of cases. This protein relocalisation away from the cell membrane is underscored by mutations of the β-catenin gene. Mutations of the CDH1 gene are very uncommon in SPT, but the immunohistochemically detected changes to the protein are consistent and present in 100% of cases. Using an E-cadherin antibody to the extracellular domain of the molecule results in complete membrane loss, while the antibody directed to the cytoplasmic fragment produces distinct nuclear staining of the tumour cells. In addition, there is concordance of staining abnormalities between the two antibodies. When combined with CD10 and progesterone receptor positivity, a diagnosis of SPT can be rendered with confidence even in small biopsy samples.

scholarly journals Nuclear E-cadherin and VHL immunoreactivity are prognostic indicators of clear-cell renal cell carcinoma

2007 ◽  
Vol 87 (12) ◽  
pp. 1252-1264 ◽  
Author(s):  
Michelle L Gervais ◽  
Pauline C Henry ◽  
Arthy Saravanan ◽  
T Nadine Burry ◽  
Brenda L Gallie ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Prognostic Indicators ◽  
Cell Renal Cell Carcinoma ◽  
E Cadherin

scholarly journals A pyramidal deep learning pipeline for kidney whole-slide histology images classification

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hisham Abdeltawab ◽  
Fahmi Khalifa ◽  
Mohammed Mohammed ◽  
Liang Cheng ◽  
Dibson Gondim ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Deep Learning ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Correct Diagnosis ◽  
Papillary Renal Cell Carcinoma ◽  
Automated Classification ◽  
Cell Renal Cell Carcinoma ◽  
Whole Slide Images

AbstractRenal cell carcinoma is the most common type of kidney cancer. There are several subtypes of renal cell carcinoma with distinct clinicopathologic features. Among the subtypes, clear cell renal cell carcinoma is the most common and tends to portend poor prognosis. In contrast, clear cell papillary renal cell carcinoma has an excellent prognosis. These two subtypes are primarily classified based on the histopathologic features. However, a subset of cases can a have a significant degree of histopathologic overlap. In cases with ambiguous histologic features, the correct diagnosis is dependent on the pathologist’s experience and usage of immunohistochemistry. We propose a new method to address this diagnostic task based on a deep learning pipeline for automated classification. The model can detect tumor and non-tumoral portions of kidney and classify the tumor as either clear cell renal cell carcinoma or clear cell papillary renal cell carcinoma. Our framework consists of three convolutional neural networks and the whole slide images of kidney which were divided into patches of three different sizes for input into the networks. Our approach can provide patchwise and pixelwise classification. The kidney histology images consist of 64 whole slide images. Our framework results in an image map that classifies the slide image on the pixel-level. Furthermore, we applied generalized Gauss-Markov random field smoothing to maintain consistency in the map. Our approach classified the four classes accurately and surpassed other state-of-the-art methods, such as ResNet (pixel accuracy: 0.89 Resnet18, 0.92 proposed). We conclude that deep learning has the potential to augment the pathologist’s capabilities by providing automated classification for histopathological images.

scholarly journals Reduced expression of E-cadherin and increased sialylation level in clear cell renal cell carcinoma

2017 ◽  
Vol 64 (3) ◽  
pp. 465-470 ◽  
Author(s):  
Małgorzata Borzym-Kluczyk ◽  
Iwona Radziejewska ◽  
Marzanna Cechowska-Pasko ◽  
Barbara Darewicz
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Cell Renal Cell Carcinoma ◽  
E Cadherin

scholarly journals Downregulation of SNX5 By KLF9 Leads to Clear Cell Renal Cell Carcinoma Progression By Inducing CD44 Internalization and Suppressing Epithelial-to-Mesenchymal Transition

2021 ◽  
Author(s):  
Qingqing Zhou ◽  
Jiajun Li ◽  
Chao Ge ◽  
Jinsi Chen ◽  
Wei Tian ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Western Blot ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Poor Prognosis ◽  
Clear Cell ◽  
Cell Renal Cell Carcinoma ◽  
Mesenchymal Transition ◽  
E Cadherin

Abstract Background: Aberrant expression of SNX5 can contribute to tumourigenesis, invasion, and metastasis of several human cancers. However, the clinicopathological and biological significance of SNX5 in clear cell renal cell carcinoma (ccRCC) remain unclear. The aim of this study was to examine the role of SNX5 in the progression of ccRCC.Methods: Immunohistochemical (IHC), Western blot, qRT-PCR, western blot, flow cytometry and immunofluorescence were used to detect the expression of indicated molecules. The biological role of SNX5 in ccRCC cells was evaluated by CCK8, colony formation, transwell assay, subcutaneous tumor formation as well as veil tail injection. ChIP assay and luciferase reporter assay were used to determine the direct binding of KLF9 to the promoter of the SNX5 gene.Results: SNX5 expression was downregulated in human ccRCC tissues. SNX5 expression was negatively correlated with tumor size, AJCC stage, tumor thrombus of inferior vena cava (IVC) and poor prognosis of ccRCC. Ectopic expression of SNX5 inhibited ccRCC cell proliferation and metastasis whereas knockdown of SNX5 increase these activities both in vitro and in vivo. Mechanistically, overexpression of SNX5 blocked internalization and intracellular trafficking of CD44 in ccRCC cells. Exogenous expression of CD44 partially rescued the inhibitory effects of SNX5 on the proliferation and invasion activity of ccRCC cells. Knockdown of SNX5 in ccRCC cells was associated with epithelial mesenchymal transition (EMT), including the down-regulation of E-cadherin, ZO-1 and Claudin-1 and the concomitant up-regulation of Snail and N-cadherin. In addition, SNX5 inhibited TGF-β-induced migration, invasion and EMT in ccRCC cells. Moreover, we observed a significant correlation between SNX5 expression and E-cadherin levels in ccRCC patients. In addition, KLF9 directly bound to the SNX5 promoter and increased SNX5 transcription. SNX5 expression was closely correlated with KLF9 expression in ccRCC. Moreover, we found that the combination of SNX5 and CD44 or E-cadherin or KLF9 was a more powerful predictor of poor prognosis than either parameter alone.Conclusion: Collectively, our data reveal a mechanism that KLF9-mediated SNX5 expression was associated with poor prognosis via trafficking of CD44 and promoting EMT in ccRCC. SNX5 may be a potential prognostic biomarker and therapeutic target for patients with ccRCC.

Clear Cell Hidradenoma: A Mimic of Metastatic Clear Cell Tumors

2005 ◽  
Vol 129 (5) ◽  
pp. e113-e116 ◽  
Author(s):  
Keith E. Volmar ◽  
Thomas J. Cummings ◽  
Wei Hua Wang ◽  
Andrew J. Creager ◽  
Douglas S. Tyler ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Correct Diagnosis ◽  
Clinical History ◽  
Needle Aspiration ◽  
Detailed Clinical History ◽  
Immunohistochemical Studies ◽  
Physical Findings

Abstract Clear cell hidradenoma is a benign skin appendage tumor that may mimic conventional-type renal cell carcinoma. Histologically, clear cell hidradenoma contains small ductular lumens, focal apocrine and squamoid change, and a less prominent vascular pattern than renal cell carcinoma. Furthermore, immunohistochemical studies can aid in distinguishing the 2 tumors. Knowing the cytologic features of primary skin adnexal neoplasms helps distinguish them from cutaneous metastases, which are more commonly referred for fine-needle aspiration biopsy evaluation. Detailed clinical history, physical findings, and ancillary studies are essential for correct diagnosis and categorization of these tumors. We report the rare case of a patient with renal cell carcinoma who underwent excision of an axillary clear cell hidradenoma, which was clinically suggestive of cutaneous metastatic disease.

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