470 EXPRESSION PATTERNS OF SEVEN MOLECULAR MARKERS IN CHROMOPHOBE RENAL CELL CARCINOMA WITH DISTINCT EXPRESSION CHANGES IDENTIFIED IN HIGH-GRADE LESIONS

2013 ◽  
Vol 189 (4S) ◽  
Author(s):  
Joshua Logan ◽  
David Finley ◽  
Nils Kroeger ◽  
Robin Jeffries ◽  
Abdelmonem Afifi ◽  
...  
2011 ◽  
Vol 35 (4) ◽  
pp. 620 ◽  
Author(s):  
Scott H. Bradshaw ◽  
Zuzana Kos ◽  
Bich Ngoc Nguyen ◽  
Susan J. Robertson ◽  
Eric Charles Belanger ◽  
...  

2018 ◽  
Vol 210 (5) ◽  
pp. 1079-1087 ◽  
Author(s):  
Nicola Schieda ◽  
Robert S. Lim ◽  
Satheesh Krishna ◽  
Matthew D. F. McInnes ◽  
Trevor A. Flood ◽  
...  

2020 ◽  
Vol 68 (6) ◽  
pp. 403-411
Author(s):  
Hsiang-Chih Lu ◽  
Nathan Heath Patterson ◽  
Audra M. Judd ◽  
Michelle L. Reyzer ◽  
Jennifer K. Sehn

Clear cell renal cell carcinoma (ccRCC) and chromophobe renal cell carcinoma (chRCC) are relatively common tumors that can have significant risk for mortality. Treatment and prognostication in renal cell carcinoma (RCC) are dependent upon correct histologic typing. ccRCC and chRCC are generally straightforward to diagnose based on histomorphology alone. However, high-grade ccRCC and chRCC can sometimes resemble each other morphologically, particularly in small biopsies. Multiple immunostains and/or colloidal iron stain are sometimes required to differentiate the two. Imaging mass spectrometry (IMS) allows simultaneous spatial mapping of thousands of biomarkers, using formalin-fixed paraffin-embedded tissue sections. In this study, we evaluate the ability of IMS to differentiate between World Health Organization/International Society for Urological Pathology grade 3 ccRCC and chRCC. IMS spectra from a training set of 14 ccRCC and 13 chRCC were evaluated via support vector machine algorithm with a linear kernel for machine learning, building a classification model. The classification model was applied to a separate validation set of 6 ccRCC and 6 chRCC, with 19 to 20, 150-μm diameter tumor foci in each case sampled by IMS. Most evaluated tumor foci were classified correctly as ccRCC versus chRCC (99% accuracy, kappa=0.98), demonstrating that IMS is an accurate tool in differentiating high-grade ccRCC and chRCC.


2020 ◽  
Vol 7 (3) ◽  
pp. 20-25
Author(s):  
Lauren Nahouraii ◽  
Jordan Allen ◽  
Suzanne Merrill ◽  
Erik Lehman ◽  
Matthew Kaag ◽  
...  

Pathologic characteristics of extirpated renal cell carcinoma (RCC) specimens <7  cm were reviewed to get better information on technical nuances of renal mass biopsy (RMB). Specimens were stratified according to tumor stage, nuclear grade, size, histology, presence of lymphovas-cular invasion (LVI), necrosis, and sarcomatoid features. When considering pT1 (0–7 cm) tumors pT1b (4–7 cm), RCC masses were more likely to have necrosis (43% vs 16%, P < 0.001), LVI (6% vs 2%, P = 0.024), high-grade nuclear elements (29% vs 17%, P < 0.001), and sarcomatoid features (2% vs 0%, P = 0.006) compared with pT1a (0–4 cm) tumors. Additionally, pT3a tumors were more highly associated with necrosis (P = 0.005), LVI, sarcomatoid features, and high-grade disease (P for all < 0.001) when compared to pT1 masses. For masses <4 cm, pT3a cancers were more likely to demonstrate necrosis (38% vs 16%, P < 0.001), LVI (10% vs 2%, P = 0.037), high-grade nuclear elements (31% vs 17%, P = 0.05), and sarcomatoid features (3% vs 0%, P = 0.065) compared to pT1a tumors. Similarly, for masses 4–7 cm, pathologic T3a tumors were significantly more likely to have sarcomatoid features (16% vs 2%, P < 0.001) and LVI (28% vs 6%, P < 0.001) compared to pT1b tumors. In summary, pT3a tumors and those RCC masses >4 cm exhibit considerable histologic heterogeneity and may harbor elements that are not easily appreciated with limited renal sampling. Therefore, if RMB is considered for renal masses greater than 4 cm or those that abut sinus fat, a multi-quadrant biopsy approach is necessary to ensure adequate sampling and characterization of the mass.


2007 ◽  
Vol 51 (1) ◽  
pp. 9-15 ◽  
Author(s):  
Javier Salamanca ◽  
Nuria Alberti ◽  
Fernando López-Ríos ◽  
Andrés Perez-Barrios ◽  
Miguel Angel Martínez-González ◽  
...  

2021 ◽  
Vol 160 ◽  
pp. 103287 ◽  
Author(s):  
Rohan Garje ◽  
Dean Elhag ◽  
Hesham A Yasin ◽  
Luna Acharya ◽  
Daniel Vaena ◽  
...  

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Junjie Cen ◽  
Yanping Liang ◽  
Yong Huang ◽  
Yihui Pan ◽  
Guannan Shu ◽  
...  

Abstract Background There is increasing evidence that circular RNAs (circRNAs) have significant regulatory roles in cancer development and progression; however, the expression patterns and biological functions of circRNAs in renal cell carcinoma (RCC) remain largely elusive. Method Bioinformatics methods were applied to screen for circRNAs differentially expressed in RCC. Analysis of online circRNAs microarray datasets and our own patient cohort indicated that circSDHC (hsa_circ_0015004) had a potential oncogenic role in RCC. Subsequently, circSDHC expression was measured in RCC tissues and cell lines by qPCR assay, and the prognostic value of circSDHC evaluated. Further, a series of functional in vitro and in vivo experiments were conducted to assess the effects of circSDHC on RCC proliferation and metastasis. RNA pull-down assay, luciferase reporter and fluorescent in situ hybridization assays were used to confirm the interactions between circSDHC, miR-127-3p and its target genes. Results Clinically, high circSDHC expression was correlated with advanced TNM stage and poor survival in patients with RCC. Further, circSDHC promoted tumor cell proliferation and invasion, both in vivo and in vitro. Analysis of the mechanism underlying the effects of circSDHC in RCC demonstrated that it binds competitively to miR-127-3p and prevents its suppression of a downstream gene, CDKN3, and the E2F1 pathway, thereby leading to RCC malignant progression. Furthermore, knockdown of circSDHC caused decreased CDKN3 expression and E2F1 pathway inhibition, which could be rescued by treatment with an miR-127-3p inhibitor. Conclusion Our data indicates, for the first time, an essential role for the circSDHC/miR-127-3p/CDKN3/E2F1 axis in RCC progression. Thus, circSDHC has potential to be a new therapeutic target in patients with RCC.


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