Combined Immunohistochemistry for the “Three 7” Markers (CK7, CD117, and Claudin-7) Is Useful in the Diagnosis of Chromophobe Renal Cell Carcinoma and for the Exclusion of Mimics: Diagnostic Experience from a Single Institution

Zhou, Jun; Yang, Xiaoqun; Zhou, Luting; Zhang, Peipei; Wang, Chaofu

doi:10.1155/2019/4708154

Cited by 14 publications

(16 citation statements)

References 28 publications

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“…The feature of upgraded nuclei is consistent with the increased eosinophilic cytoplasm in CCRCC and PRCC, but this feature was not appreciated in the JCTs 24 . The expressions of epithelial‐ and RCC‐related markers can easily differentiate these conditions 6,14 . Applications of FISH may be helpful in the differential diagnoses in the exceptionally difficult cases.…”

Section: Discussionmentioning

confidence: 88%

“…The probes included CSP3+GSP 3p (LBP, Guangzhou, Guangdong, China), CEP7, CEP17, SEY (Vysis, Downers Grove, IL, USA), dual‐color break‐apart TFE3 (LBP, Guangzhou) and TEB probes (LBP, Guangzhou). The procedures and the cut‐off for the positive signals have been previously described in other studies 3‐8 . The fresh samples from five cases (case 7, 8 and 16–18) were available for ultrastructural analysis by using a transmission electron microscope (JEOL‐1011; JEOL, Ltd, Tokyo, Japan).…”

Section: Methodsmentioning

confidence: 99%

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Juxtaglomerular cell tumor: Clinicopathologic evaluation in a large series emphasizing its broad histologic spectrum

Zhou

Zheng

Zhang

et al. 2020

Pathology International

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The juxtaglomerular cell tumor (JCT) is a rare renal tumor. We re‐evaluated the clinicopathologic features of 21 JCTs to summarize their variable morphologies. Immunohistochemical, fluorescent in situ hybridization and periodic acid–Schiff stains were routinely performed, and four JCT cases were detected via transmission electron microscopy. The 21 JCTs involved five males and 16 females, ranging in age from 19 years to 69 years (mean, 36.9 years; median, 34 years). The tumors were composed of large, small, or spindle cells with a round, oval or polygonal shape, arranged in various growth patterns. Both necrosis (1/21) and mitosis (2/21, with 1/50HFP, 8/50HFP) was rarely appreciated. All cases were immunoreactive for renin and CD34 (21/21), and few were positive for α‐SMA (13/21;11/21, focally; 2/21, diffusely,), CD117 (9/21, focally) and synaptophysin (3/21, focally). Ultrastructurally, all four cases exhibited secretory granules in varying sizes in the cytoplasm, two of which exhibited cellular junctions. Almost all cases (20/21) had a favorable prognosis, but one succumbed due to bone and hepatic metastases, which corresponds to malignant JCT. Our study demonstrates that JCTs may have atypical clinical presentations and variable histologic appearances. A familiarity with these features may contribute to a correct diagnosis.

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Section: Discussionmentioning

confidence: 88%

Section: Methodsmentioning

confidence: 99%

Juxtaglomerular cell tumor: Clinicopathologic evaluation in a large series emphasizing its broad histologic spectrum

Zhou

Zheng

Zhang

et al. 2020

Pathology International

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“…IHC and special stain markers for distinguishing chRCC and oncocytoma include CK7, S100A1, CD117 (CKIT), kidney specific cadherins, KAI, cyclin D1, and Hale's colloidal iron are currently used to differentiate the tumors in discrepant cases. CK7 has a wide range of sensitivity and specificity, ranging from 73-100% and 71-100%, respectively [41][42][43][44][45] in different studies. Similarly, S100A1 has sensitivities and specificities at 80-100% and 70-92%, respectively [11,46].…”

Section: Discussionmentioning

confidence: 99%

Comparative Analysis on Molecular Characteristics of Chromophobe Renal Cancer and Oncocytoma

Satter¹,

Tran²,

Tran³

et al. 2021

Preprint

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Chromophobe renal cell carcinoma (chRCC) and oncocytoma (RO) are renal tumor types originating from alpha intercalated cells of the collecting ducts of the kidney. Both tumor types have similar gross histological morphology and increased mitochondria, which leads to difficulties differentiating between these tumors, especially with core biopsy samples. This study aims to apply a machine learning approach to develop a molecular classifier based on transcriptomics data. Here we generated a meta-data set containing 62 chRCC and 45 RO gene expression arrays. Arrays were subjected to quality control steps, and genes were selected based on differential expression and ROC analysis. The final gene list was evaluated with UMAP based dimension reduction followed by density-based clustering with 95.5% accuracy. Molecular profiling by KEGG pathway analysis identified enrichment of fatty acid oxidation pathway in RO. We finally identified and validated the 30-gene signature, with an accuracy of 94.4% to distinguish chRCC from RO on UMAP analysis. Our results show that chRCC and RO have a distinct gene signature that can differentiate these tumors and complement histology for routine diagnosis of these two tumors.

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“…The second most common immunohistochemical marker for the differential diagnosis of oncocytic renal cell neoplasms is CD117. However, CD117 does not discriminate between cRCC and rO as about 85% are positive [40], but this marker is useful to discriminate cRCC and rO from oncocytic papillary renal cell carcinoma, oncocytic angiomyolipoma and others [1].…”

Section: Discussionmentioning

confidence: 99%

Mass Spectrometry Imaging Differentiates Chromophobe Renal Cell Carcinoma and Renal Oncocytoma with High Accuracy

Kriegsmann¹,

Casadonte²,

Maurer³

et al. 2020

J. Cancer

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Background: While subtyping of the majority of malignant chromophobe renal cell carcinoma (cRCC) and benign renal oncocytoma (rO) is possible on morphology alone, additional histochemical, immunohistochemical or molecular investigations are required in a subset of cases. As currently used histochemical and immunohistological stains as well as genetic aberrations show considerable overlap in both tumors, additional techniques are required for differential diagnostics. Mass spectrometry imaging (MSI) combining the detection of multiple peptides with information about their localization in tissue may be a suitable technology to overcome this diagnostic challenge. Patients and Methods: Formalin-fixed paraffin embedded (FFPE) tissue specimens from cRCC (n=71) and rO (n=64) were analyzed by MSI. Data were classified by linear discriminant analysis (LDA), classification and regression trees (CART), k-nearest neighbors (KNN), support vector machine (SVM), and random forest (RF) algorithm with internal cross validation and visualized by t-distributed stochastic neighbor embedding (t-SNE). Most important variables for classification were identified and the classification algorithm was optimized. Results: Applying different machine learning algorithms on all m/z peaks, classification accuracy between cRCC and rO was 85%, 82%, 84%, 77% and 64% for RF, SVM, KNN, CART and LDA. Under the assumption that a reduction of m/z peaks would lead to improved classification accuracy, m/z peaks were ranked based on their variable importance. Reduction to six most important m/z peaks resulted in improved accuracy of 89%, 85%, 85% and 85% for RF, SVM, KNN, and LDA and remained at the level of 77% for CART. t-SNE showed clear separation of cRCC and rO after algorithm improvement. Conclusion: In summary, we acquired MSI data on FFPE tissue specimens of cRCC and rO, performed classification and detected most relevant biomarkers for the differential diagnosis of both diseases. MSI data might be a useful adjunct method in the differential diagnosis of cRCC and rO.

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Combined Immunohistochemistry for the “Three 7” Markers (CK7, CD117, and Claudin-7) Is Useful in the Diagnosis of Chromophobe Renal Cell Carcinoma and for the Exclusion of Mimics: Diagnostic Experience from a Single Institution

Cited by 14 publications

References 28 publications

Juxtaglomerular cell tumor: Clinicopathologic evaluation in a large series emphasizing its broad histologic spectrum

Juxtaglomerular cell tumor: Clinicopathologic evaluation in a large series emphasizing its broad histologic spectrum

Comparative Analysis on Molecular Characteristics of Chromophobe Renal Cancer and Oncocytoma

Mass Spectrometry Imaging Differentiates Chromophobe Renal Cell Carcinoma and Renal Oncocytoma with High Accuracy

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