Vimentin Reactivity in Renal Oncocytoma: Immunohistochemical Study of 234 Cases

2007 ◽  
Vol 131 (12) ◽  
pp. 1782-1788 ◽  
Author(s):  
Ondrej Hes ◽  
Michal Michal ◽  
Naoto Kuroda ◽  
Guido Martignoni ◽  
Matteo Brunelli ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Renal Cell ◽  
Imaging System ◽  
Large Series ◽  
Renal Tumors ◽  
Renal Oncocytoma ◽  
Renal Cell Carcinomas ◽  
Central Scar ◽  
Renal Oncocytomas ◽  
The Difference

Abstract Context.—The expression of vimentin in benign renal oncocytomas has been controversal. However, this is of clinical significance because immunostains may be used in differential diagnosis of renal tumors on limited biopsy specimens. Using different staining and analysis methods, we studied vimentin immunoreactivity in a large series of renal oncocytomas with a special emphasis on the immunoreactivity patterns. Objective.—Immunohistochemical expression of vimentin has been used in the differential diagnosis of renal epithelial neoplasms. Although typically expressed in most renal cell carcinomas, the immunoreactivity of this intermediate filament in renal oncocytomas has been controversial. Design.—We studied vimentin immunoreactivity in a large series of 234 renal oncocytomas using 2 staining methods as well as manual and automated imaging analyses. Results.—We found that the focal vimentin immunoreactivity can be seen in most (72.6%) renal oncocytomas with vimentin-positive tumor cells usually found in the edge of a central scar or in small clusters scattered throughout the tumor. Computer-aided imaging analysis using ChromaVision Automatic Cellular Imaging System II confirmed the difference in vimentin immunoreactivity between oncocytoma and other renal neoplasms. Conclusions.—Our study of vimentin immunohistochemistry in a series of renal oncocytomas, which to our knowledge is the largest ever published, showed focal vimentin positivity detected in most oncocytomas. Because the vimentin staining patterns in renal oncocytomas are different from those seen in clear cell or papillary renal cell carcinomas, we consider vimentin staining to be helpful in the differential diagnosis of oncocytoma from other renal tumor mimics. Furthermore, strong vimentin positivity in a renal cell neoplasm does not exclude the diagnosis of renal oncocytoma, particularly in a limited biopsy specimen.

scholarly journals HISTOLOGICAL FEATURES OF CHROMOPHOBE RENAL CELL CARCINOMA

2020 ◽  
Vol 8 (1) ◽  
pp. 15-23
Author(s):  
V. V. Baranovska ◽  
A. M. Romanenko ◽  
L. M. Zakhartseva
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Tumor Tissue ◽  
Chromophobe Renal Cell Carcinoma ◽  
Renal Oncocytoma ◽  
Renal Cell Carcinomas ◽  
Histological Features ◽  
Renal Oncocytomas ◽  
Relative Prevalence

Introduction. Renal neoplasms are a common disease. Differential diagnostics of different tumor subtypes for prognosis and treatment is necessary given that some of them, like renal cell oncocytomas, are benign, and others, like chromophobe renal cell carcinomas, are malignant. Unfortunately, the histological similarity between these tumors makes accurate diagnostics difficult. In some cases, additional diagnostic methods such as immunohistochemistry should be used. The aim of our study is to analyze the histological characteristics of chromophobe renal cell carcinomas and renal oncocytomas, in order to specify their pathognomonic features, allowing for the confirmation of the diagnosis. Materials and methods. We used data from histories of disease and histological postoperative material of 198 patients with chromophobe renal cell carcinoma and renal oncocytoma. After the diagnosis was confirmed, we described the histological features of the tumors and calculated their relative prevalence amongst the renal oncocytoma and chromophobe renal cell carcinoma tissues. To conclude, we identified the histological features that are more likely to be present in the case of chromophobe renal cell carcinoma. Conclusions. Chromophobe renal cell carcinomas are present in 31 % of our samples. Tumors are more prevalent in patients in their sixth and seventh decade. Most chromophobe renal cell carcinomas are unilateral. Chromophobe renal cell carcinomas have a polymorphic histological structure. The classic variant of chromophobe renal cell carcinoma is more common than the eosinophilic one. A mixed variant of chromophobe renal cell carcinoma is present in a minority of cases. The most common features of ChRCC are solid and alveolar growth patterns, clear and reticular cytoplasm, raisinoid nuclei. After comparing the relative prevalence of various histological features in renal oncocytomas to those present in chromophobe renal cell carcinomas, we are able to ascertain that chromophobe renal cell carcinomas tend to exhibit the following features significantly more often than renal oncocytomas: differing nuclear size, raisinoid nuclei, reticular cytoplasm, clear cytoplasm. The particular features mentioned in the preceding paragraph, can be present on a small subset of the tumor tissue, and are thus, often missed during analysis, which can lead to misdiagnosis. In order to mitigate this risk, we recommend analyzing a big sample of tumor tissue and using additive methods such as immunohistochemistry with biomarkers CD 10 (56C6), CD 68 (KP1), Cytokeratin 7 (OV-TL 12/30), CD117/c-kit, Vimentin (Vim3B4), S-100 (4C4.9).

scholarly journals Papillary renal cell carcinomas rewire glutathione metabolism and are deficient in anabolic glucose synthesis

2019 ◽  
Author(s):  
Ayham Alahmad ◽  
Vanessa Paffrath ◽  
Rosanna Clima ◽  
Jonas Felix Busch ◽  
Anja Rabien ◽  
...  
Keyword(s):  
Respiratory Chain ◽  
Metabolic Pathways ◽  
Renal Cell ◽  
Renal Tumors ◽  
Synthesis Rate ◽  
Molecular Characteristics ◽  
Renal Cell Carcinomas ◽  
Renal Oncocytomas ◽  
Glucose Synthesis ◽  
Ros Scavenger

AbstractPapillary renal cell carcinoma (pRCC) is a malignant kidney cancer with a prevalence of 7-20% of all renal tumors. Proteome and metabolome profiles of 19 pRCC and patient-matched healthy kidney controls were used to elucidate the regulation of metabolic pathways and the underlying molecular mechanisms. Glutathione (GSH), a main reactive oxygen species (ROS) scavenger, was highly increased and can be regarded as a new hallmark in this malignancy. Isotope tracing of pRCC derived cell lines revealed an increasedde novosynthesis rate of GSH, based on glutamine consumption. Furthermore, rewiring of the main pathways involved in ATP and glucose synthesis was observed at the protein level. In contrast, transcripts encoding for the respiratory chain were not regulated, which prompts for non-genetic profiling. The molecular characteristics of pRCC are increased GSH synthesis to cope with ROS stress, deficient anabolic glucose synthesis, and compromised oxidative phosphorylation, which could potentially be exploited in innovative anti-cancer strategies.SIGNIFICANCE STATEMENTWe applied proteome- and metabolome profiling to elucidate molecular features in malign papillary renal cell carcinomas. By this characterization, a reprogramming of the main metabolic pathways, such as gluconeogenesis and fatty acid- and amino acid metabolism were identified. The proteins involved in the respiratory chain and the corresponding enzymatic activities were strongly reduced in pRCC, showing an anti-correlation compared with the transcriptome. Similar to renal oncocytomas, the ROS scavenger glutathione was identified as a hallmark in pRCC. Our results suggest that impaired metabolism and dysfunctional mitochondria determine the fate of pRCC. Furthermore, we propose that the specific regulation of the mitochondrial respiratory chain can differentiate highly similar malignant pRCCs from benign renal oncocytomas.

scholarly journals Value of radiomics in differential diagnosis of chromophobe renal cell carcinoma and renal oncocytoma

2019 ◽  
Vol 45 (10) ◽  
pp. 3193-3201 ◽  
Author(s):  
Yajuan Li ◽  
Xialing Huang ◽  
Yuwei Xia ◽  
Liling Long
Keyword(s):  
Machine Learning ◽  
Differential Diagnosis ◽  
Cell Carcinoma ◽  
Area Under The Curve ◽  
Image Features ◽  
Renal Tumors ◽  
Support Vector ◽  
Svm Classifier ◽  
Renal Oncocytoma ◽  
Lasso Regression

Abstract Purpose To explore the value of CT-enhanced quantitative features combined with machine learning for differential diagnosis of renal chromophobe cell carcinoma (chRCC) and renal oncocytoma (RO). Methods Sixty-one cases of renal tumors (chRCC = 44; RO = 17) that were pathologically confirmed at our hospital between 2008 and 2018 were retrospectively analyzed. All patients had undergone preoperative enhanced CT scans including the corticomedullary (CMP), nephrographic (NP), and excretory phases (EP) of contrast enhancement. Volumes of interest (VOIs), including lesions on the images, were manually delineated using the RadCloud platform. A LASSO regression algorithm was used to screen the image features extracted from all VOIs. Five machine learning classifications were trained to distinguish chRCC from RO by using a fivefold cross-validation strategy. The performance of the classifier was mainly evaluated by areas under the receiver operating characteristic (ROC) curve and accuracy. Results In total, 1029 features were extracted from CMP, NP, and EP. The LASSO regression algorithm was used to screen out the four, four, and six best features, respectively, and eight features were selected when CMP and NP were combined. All five classifiers had good diagnostic performance, with area under the curve (AUC) values greater than 0.850, and support vector machine (SVM) classifier showed a diagnostic accuracy of 0.945 (AUC 0.964 ± 0.054; sensitivity 0.999; specificity 0.800), showing the best performance. Conclusions Accurate preoperative differential diagnosis of chRCC and RO can be facilitated by a combination of CT-enhanced quantitative features and machine learning.

scholarly journals Magnetic resonance diffusion kurtosis imaging in differential diagnosis of benign and malignant renal tumors

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jianxiong Fu ◽  
Jing Ye ◽  
Wenrong Zhu ◽  
Jingtao Wu ◽  
Wenxin Chen ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Mean Diffusivity ◽  
Threshold Value ◽  
Renal Tumors ◽  
Diffusion Kurtosis Imaging ◽  
Renal Oncocytoma ◽  
Renal Angiomyolipoma ◽  
Planar Imaging ◽  
Cell Renal Cell Carcinoma ◽  
Diffusion Kurtosis

Abstract Background Benign and malignant renal tumors share similar some imaging findings. Methods Sixty-six patients with clear cell renal cell carcinoma (CCRCC), 13 patients with renal angiomyolipoma with minimal fat (RAMF) and 7 patients with renal oncocytoma (RO) were examined. For diffusion kurtosis imaging (DKI), respiratory triggered echo-planar imaging sequences were acquired in axial plane (3 b-values: 0, 500, 1000s/mm2). Mean Diffusivity (MD), fractional Anisotropy (FA), mean kurtosis (MK), kurtosis anisotropy (KA) and radial kurtosis (RK) were performed. Results For MD, a significant higher value was shown in CCRCC (3.08 ± 0.23) than the rest renal tumors (2.93 ± 0.30 for RO, 1.52 ± 0.24 for AML, P < 0.05). The MD values were higher for RO than for AML (2.93 ± 0.30 vs.1.52 ± 0.24, P < 0.05), while comparable MD values were found between CCRCC and RO (3.08 ± 0.23 vs. 2.93 ± 0.30, P > 0.05). For MK, KA and RK, a significant higher value was shown in AML (1.32 ± 0.16, 1.42 ± 0.23, 1.41 ± 0.29) than CCRCC (0.43 ± 0.08, 0.57 ± 0.16, 0.37 ± 0.11) and RO (0.81 ± 0.08, 0.86 ± 0.16, 0.69 ± 0.08) (P < 0.05). The MK, KA and RK values were higher for RO than for CCRCC (0.81 ± 0.08 vs. 0.43 ± 0.08, 0.86 ± 0.16 vs. 0.57 ± 0.16, 0.69 ± 0.08 vs. 0.37 ± 0.11, P < 0.05). Using MD values of 2.86 as the threshold value for differentiating CCRCC from RO and AML, the best result obtained had a sensitivity of 76.1%, specificity of 72.6%. Using MK, KA and RK values of 1.19,1.13 and 1.11 as the threshold value for differentiating AML from CCRCC and RO, the best result obtained had a sensitivity of 91.2, 86.7, 82.1%, and specificity of 86.7, 83.2, 72.8%. Conclusion DKI can be used as another noninvasive biomarker for benign and malignant renal tumors’ differential diagnosis.

The Diagnostic Accuracy of Percutaneous Renal Needle Core Biopsy and Its Potential Impact on the Clinical Management of Renal Cortical Neoplasms

2014 ◽  
Vol 138 (12) ◽  
pp. 1673-1679 ◽  
Author(s):  
Lan L. Gellert ◽  
Rohit Mehra ◽  
Ying-Bei Chen ◽  
Anuradha Gopalan ◽  
Samson W. Fine ◽  
...  
Keyword(s):  
Clinical Management ◽  
Renal Cell ◽  
Core Biopsy ◽  
Clear Cell ◽  
Renal Tumors ◽  
Low Grade ◽  
Renal Cell Carcinomas ◽  
Biopsy Diagnosis ◽  
Potential Impact ◽  
Renal Cortical Neoplasms

Context While biopsies are now increasingly being performed for the diagnosis of renal cortical neoplasms, the influence of the rendered pathological diagnoses on the clinical management is only rarely documented. Objectives To report our experience with consecutively performed renal biopsies and the potential impact of the diagnosis on subsequent clinical management. Design Material from needle biopsies performed consecutively at our institution between 2006 and 2011 was reviewed. The influence of the reported pathology results on the clinical management was determined from patient follow-up medical record review. Results In total, 218 percutaneous biopsies for renal masses were performed during this period. Among them, 181 (83%) yielded neoplastic tissue, including 81 clear cell renal cell carcinomas, 29 low-grade oncocytic neoplasms, 7 papillary renal cell carcinomas, 5 clear cell papillary renal cell carcinomas, 5 angiomyolipomas, and 14 urothelial carcinomas. Fourteen additional cases (6%) contained lesional material from clinically known nonneoplastic processes, for a total diagnostic yield of 89%. Twenty-three (11%) were nonrepresentative of lesional tissue. In 10 of these, repeat biopsies or resections established the diagnosis of renal tumors. Biopsy diagnosis was confirmed in 29 of 30 cases (97%) on subsequent nephrectomy. Following the biopsy diagnosis, there were significant differences in the clinical management; overall, 79% of clear cell renal cell carcinomas received therapeutic interventions, and 17% were put on active surveillance. In contrast, 77% of the benign or low-grade lesions were put on active surveillance. Conclusions Accurate and specific diagnosis can be rendered on renal core biopsy in most renal tumors, and the biopsy diagnosis can have a definitive role in their clinical management.

scholarly journals Differential Diagnosis of Renal Tumors With Clear Cytoplasm: Clinical Relevance of Renal Tumor Subclassification in the Era of Targeted Therapies and Personalized Medicine

2013 ◽  
Vol 137 (4) ◽  
pp. 467-480 ◽  
Author(s):  
Rajen Goyal ◽  
Elizabeth Gersbach ◽  
Ximing J. Yang ◽  
Stephen M. Rohan
Keyword(s):  
Renal Cell Carcinoma ◽  
Differential Diagnosis ◽  
Cell Carcinoma ◽  
Targeted Therapies ◽  
Renal Cell ◽  
Clear Cell ◽  
Renal Tumor ◽  
Renal Tumors ◽  
Cell Renal Cell Carcinoma ◽  
Immunohistochemical Stains

Context.—The World Health Organization classification of renal tumors synthesizes morphologic, immunohistochemical, and molecular findings to define more than 40 tumor types. Of these, clear cell (conventional) renal cell carcinoma is the most common malignant tumor in adults and—with the exception of some rare tumors—the most deadly. The diagnosis of clear cell renal cell carcinoma on morphologic grounds alone is generally straightforward, but challenging cases are not infrequent. A misdiagnosis of clear cell renal cell carcinoma has clinical consequences, particularly in the current era of targeted therapies. Objective.—To highlight morphologic mimics of clear cell renal cell carcinoma and provide strategies to help differentiate clear cell renal cell carcinoma from other renal tumors and lesions. The role of the pathologist in guiding treatment for renal malignancies will be emphasized to stress the importance of proper tumor classification in patient management. Data Sources.—Published literature and personal experience. Conclusions.—In challenging cases, submission of additional tissue is often an inexpensive and effective way to facilitate a correct diagnosis. If immunohistochemical stains are to be used, it is best to use a panel of markers, as no one marker is specific for a given renal tumor subtype. Selection of limited markers, based on a specific differential diagnosis, can be as useful as a large panel in reaching a definitive diagnosis. For renal tumors, both the presence and absence of immunoreactivity and the pattern of labeling (membranous, cytoplasmic, diffuse, focal) are important when interpreting the results of immunohistochemical stains.

Value of intravoxel incoherent motion for differential diagnosis of renal tumors

2018 ◽  
Vol 60 (3) ◽  
pp. 382-387 ◽  
Author(s):  
Qingqiang Zhu ◽  
Wenrong Zhu ◽  
Jing Ye ◽  
Jingtao Wu ◽  
Wenxin Chen ◽  
...  
Keyword(s):  
Renal Cell ◽  
Clear Cell ◽  
Threshold Value ◽  
Intravoxel Incoherent Motion ◽  
Renal Tumors ◽  
Threshold Values ◽  
Renal Cell Carcinomas ◽  
Perfusion Fraction ◽  
D Values ◽  
Tumor Types

Background Few studies have reported on the use of intravoxel incoherent motion (IVIM) for renal tumors. Purpose To investigate the value of IVIM for distinguishing renal tumors. Material and Methods Thirty-one patients with clear cell renal cell carcinomas (CCRCCs), 13 patients with renal angiomyolipomas with minimal fat (RAMFs), eight patients with chromophobe renal cell carcinomas (ChRCCs), and ten patients with papillary renal cell carcinomas (PRCCs) were examined. The tissue diffusivity (D), pseudodiffusivity (D*), and perfusion fraction (f) were calculated. Results The D and f values were highest for CCRCCs, lowest for PRCCs, and intermediate for ChRCCs and RAMFs ( P < 0.05). The D values of CCRCCs differed significantly from those of ChRCCs and PRCCs ( P < 0.05). The D* values were highest for RAMFs, lowest for ChRCCs, and intermediate for CCRCCs and PRCCs ( P < 0.05). Statistically significant differences were observed between the D* values of CCRCCs and RAMFs ( P < 0.05). The D* values of the CCRCCs differed significantly from the D* values of the ChRCCs ( P < 0.05). Using the D and f values of 1.10 and 0.41, respectively, as the threshold values for differentiating CCRCCs from RAMFs, ChRCCs, and PRCCs, the best results had sensitivities of 81.0% and 66.8% and specificities of 85.7% and 81.0%, respectively. Using the D* value of 0.038 as the threshold value for differentiating RAMFs from CCRCCs, ChRCCs, and PRCCs, the best result obtained had a sensitivity of 90.5% and specificity of 76.2%. Conclusion IVIM may provide information for differentiating renal tumor types.

scholarly journals Papillary renal cell carcinoma within a renal oncocytoma: Case report of very rare coexistence

2014 ◽  
Vol 8 (11-12) ◽  
pp. 928 ◽  
Author(s):  
Cevahir Özer ◽  
Mehmet Resit Gören ◽  
Tulga Egilmez ◽  
Nebil Bal
Keyword(s):  
Renal Cell Carcinoma ◽  
Case Report ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Radical Nephrectomy ◽  
Papillary Renal Cell Carcinoma ◽  
Renal Oncocytoma ◽  
Renal Neoplasms ◽  
Renal Oncocytomas ◽  
Papillary Rcc

Renal oncocytomas accounts for 3% to 9% of primary renal neoplasms. The coexistence of renal cell carcinoma (RCC) within the oncocytoma is extremely rare. We report the case of an asymptomatic 74-year-old man with papillary RCC within oncocytoma managed with left radical nephrectomy.

Subtype differentiation of small renal cell carcinomas on three-phase MDCT: usefulness of the measurement of degree and heterogeneity of enhancement

2012 ◽  
Vol 53 (1) ◽  
pp. 112-118 ◽  
Author(s):  
Seung Chai Jung ◽  
Jeong Yeon Cho ◽  
Seung Hyup Kim
Keyword(s):  
Renal Cell ◽  
Clear Cell ◽  
Cell Types ◽  
Renal Tumors ◽  
Imaging Features ◽  
Renal Cell Carcinomas ◽  
Three Phase ◽  
Significant Difference ◽  
Subtype Differentiation ◽  
Papillary Type

Background Subtype differentiation of small renal cell carcinomas (RCCs) can provide more information to surgeons and patients and get more useful information about imaging features of small renal tumors. Purpose To evaluate the usefulness of the measurement of degree and heterogeneity of enhancement in subtype differentiation of small renal cell carcinomas (RCCs) by three-phase multidetector-row CT (MDCT). Material and Methods We reviewed 149 pathologically confirmed small (<4cm) RCCs in 143 patients: 114 (clear cell), 17 (chromophobe), and 18 papillary (8 papillary type 1 and 10 papillary type 2). Scans in pre-contrast, corticomedullary, and nephrographic phases were obtained. We assessed the mean and standard deviation of the Hounsfield units (HU) in a region of interest (ROI) for the degree of enhancement and the heterogeneity of enhancement, respectively. We compared the attenuation values, and the degree and heterogeneity of enhancement among the subtypes. Results The clear cell type showed the highest enhancement and heterogeneity of enhancement followed by chromophobe and papillary types. There was a significant difference in enhancement between the clear cell and papillary types in the corticomedullary phase ( P < 0.01), and between clear and non-clear cell types in the nephrographic phase ( P < 0.05). Heterogeneity of enhancement showed a significant difference between clear cell and non-clear cell types in the corticomedullary phase ( P < 0.05). Conclusion The measurement of degree and heterogeneity of enhancement on contrast-enhanced MDCT may be a simple and useful method to differentiate between the different types of small RCCs.

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