Comment to “Is a new classification of the Fuhrman grade in clear cell renal cell carcinomas feasible?”

2012 ◽  
Vol 36 (6) ◽  
pp. 359-360
Author(s):  
J.I. López
2015 ◽  
Vol 2015 ◽  
pp. 1-4 ◽  
Author(s):  
Heath Liddell ◽  
Anton Mare ◽  
Sean Heywood ◽  
Genevieve Bennett ◽  
Hin Fan Chan

Clear cell papillary renal cell carcinoma (CCP-RCC) is a recently described, relatively uncommon variant of renal cell carcinoma (RCC) with a reported incidence of 4.1%. Thought to only arise in those with end stage renal disease, CCP-RCC is increasingly identified in those without renal impairment. CCP-RCCs have unique morphologic, genetic, and immunohistochemical features distinguishing them from both conventional clear cell renal cell carcinomas and papillary renal cell carcinomas. Immunohistochemically, these tumors are positive for CK7 and negative for CD10 and racemase. This is in contrast to conventional cell renal cell carcinomas (CK7 negative, CD10 positive) and papillary cell carcinomas (CK7, CD10, and racemase positive). These tumours appear to be indolent in nature, with no current documented cases of metastatic spread. We present the case of a 42-year-old female who presented with an incidental finding of a renal mass that on a core biopsy was reported as clear cell carcinoma, Fuhrman grade 1. She subsequently underwent a radical nephrectomy and further histological examination revealed the tumor to be a clear cell papillary renal cell carcinoma, Fuhrman grade 1.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 4571-4571
Author(s):  
Gabriel G. Malouf ◽  
Ronan Flippot ◽  
Roger Mouawad ◽  
Hui Yao ◽  
Eva Comperat ◽  
...  

4571 Background: Integrative analysis of clear-cell renal cell carcinomas (ccRCC) has revealed four transcriptomic subgroups associated with distinct patients outcomes. Integrative analysis of sarcomatoid ccRCC which represent the most agressive forms of ccRCC remains unknown. Methods: We performed integrative analysis of sarcomatoid (n = 28) and Fuhrman grade IV ccRCC (n = 9) using whole-exome sequencing (n = 37), RNA-sequencing (n = 32), and DNA methylation profiling by Infinium 450K arrays (n = 31). Correlation with clinico-pathlogical tumor features and patients outcomes were performed. Results: The most frequent somatic mutations in sarcomatoid ccRCC were VHL (71%), PBRM1 (50%), SETD2 (21%), BAP1 (11%), and TP53 (11%). Hierarchical unsupervised clustering of gene expression revealed two transcriptomic subgroups C1 and C2 which do not differ in term of clinical features, presence of sarcomatoid dedifferentiation and patients outcomes. Furthermore, these clusters do not differ according to their genomic features ( VHL, PBRM1 and SETD2 mutations) or their mutational loads. Strikingly, C1 cluster was highly enriched for genes related to T cell receptor signaling pathway (p = 2.6x10-6) and adapative immunity (p = 8.5x10-5); in addition, the C1 « immune » subgroup was characterized by up-regulation of genes related to cell cycle. Conversely, C2 cluster revealed down-regulation of metabolic pathways (p = 7. 5x10-5). At the epigenetic level, methylome clustering revealed two distinct epi-clusters, epi-C1 (n = 10) and epi-C2 (n = 21); patients with tumors belonging to C2 epi-cluster displayed 9p loss and harbored inferior progression-free survival as compared to those in C1 epi-cluster (11 months versus NR ; P = 0.02); of note, this was independent of clinico-pathological tumor features and transcriptomic classification. Conclusions: Our data suggest that genetic and epigenetic landscapes of sarcomatoid ccRCC might not differ from grade IV ccRCC. In addition, we discovered an immune sarcomatoid ccRCC cluster. This finding provides a rationale for use of immune checkpoint inhibitors in sarcomatoid ccRCC.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jazmine Arévalo ◽  
David Lorente ◽  
Enrique Trilla ◽  
María Teresa Salcedo ◽  
Juan Morote ◽  
...  

AbstractClear cell renal cell carcinoma (ccRCC) is the most frequent and aggressive subtype of renal carcinoma. So far, the basis of its oncogenesis remains unclear resulting in a deficiency of usable and reliable biomarkers for its clinical management. Previously, we showed that nuclear expression of the signal transducer and activator of transcription 3 (STAT3), phosphorylated at its serine 727 (pS727), was inversely proportional to the overall survival of ccRCC patients. Therefore, in the present study, we validated the value of pS727-STAT3 as a clinically relevant biomarker in ccRCC. This work is a retrospective study on 82 ccRCC patients treated with nephrectomy and followed-up for 10 years. Immunohistochemical expression of pS727-STAT3 was analyzed on a tissue microarray and nuclear and cytosolic levels were correlated with clinical outcome of patients. Our results showed that pS727-STAT3 levels, whether in the nucleus (p = 0.002; 95% CI 1.004–1.026) or the cytosol (p = 0.040; 95% CI 1.003–1.042), significantly correlate with patients’ survival in an independent-manner of clinicopathological features (Fuhrman grade, risk group, and tumor size). Moreover, we report that patients with high pS727-STAT3 levels who undergone adjuvant therapy exhibited a significant stabilization of the disease (~ 20 months), indicating that pS727-STAT3 can pinpoint a subset of patients susceptible to respond well to treatment. In summary, we demonstrated that high pS727-STAT3 levels (regardless of their cellular location) correlate with low overall survival of ccRCC patients, and we suggested the use of pS727-STAT3 as a prognostic biomarker to select patients for adjuvant treatment to increase their survival.


2016 ◽  
Vol 195 (4S) ◽  
Author(s):  
Vinay Duddalwar ◽  
Xuejun Zhang ◽  
Darryl Hwang ◽  
Steven Cen ◽  
Felix Yap ◽  
...  

2016 ◽  
Vol 35 (1) ◽  
pp. 51-56 ◽  
Author(s):  
Antoni Vilaseca ◽  
Daniel P. Nguyen ◽  
Emily A. Vertosick ◽  
Renato B. Corradi ◽  
Mireia Musquera ◽  
...  

2014 ◽  
Vol 138 (12) ◽  
pp. 1673-1679 ◽  
Author(s):  
Lan L. Gellert ◽  
Rohit Mehra ◽  
Ying-Bei Chen ◽  
Anuradha Gopalan ◽  
Samson W. Fine ◽  
...  

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.


2017 ◽  
Vol 118 (4) ◽  
pp. 119-127
Author(s):  
Selahattin Çalışkan ◽  
Orhan Koca ◽  
Mehmet Akyüz ◽  
Metin İshak Öztürk ◽  
Muhammet Ihsan Karaman

Renal cell carcinomas (RCCs) account 80–85% of all primary renal neoplasms and originate from the renal cortex. The patients who underwent radical or partial nephrectomy for renal tumour in our unit between January 2005 and 2015 were evaluated retrospectively. The patients were divided into two groups; group 1 includes patients who were treated between January 2005 and December 2009, group 2 those from January 2010 to 2015. There were 103 patients in group 1. The patients were between 21 and 89 years with mean age of 61.46 year. Renal cell carcinomas account 83.4% of the patients, benign renal tumours were 8.7% and transitional cell carcinomas were 7.7% of the patients in group 1. A total of 32.5% RCCs were classified as pT1a, 24.4% as pT1b, 15.1% as pT2a, 11.6% as pT2b, 15.1% as pT3a and 1.1% as pT4. There were 202 patients in group 2 and the patients were between 27 and 81 years with mean age of 58.5 year. Renal cell carcinomas comprised the main bulk of the tumours with 182 nephrectomy specimens. According to the pathological classification of RCCs, 51 specimens were found as pT1a, 54 were pT1b, 13 were pT2a, 14 were pT2b, 48 were pT3a and 2 were pT4. Although, the incidence of small renal masses has been increasing with widespread use of imaging techniques and recent advancements, the proportion of high grade and advanced stage renal tumours increased during the study period.


2018 ◽  
Vol 60 (3) ◽  
pp. 382-387 ◽  
Author(s):  
Qingqiang Zhu ◽  
Wenrong Zhu ◽  
Jing Ye ◽  
Jingtao Wu ◽  
Wenxin Chen ◽  
...  

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.


Cancers ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1182
Author(s):  
Jee Soo Park ◽  
Hyo Jung Lee ◽  
Ahmad Almujalhem ◽  
Hatem Hamed Althubiany ◽  
Alqahatani Ali A ◽  
...  

A high nuclear grade is crucial to predicting tumor recurrence and metastasis in clear cell renal cell carcinomas (ccRCCs). We aimed to compare the mRNA profiles of tumor tissues and preoperative plasma in patients with localized T1 stage ccRCCs, and to evaluate the potential of the plasma mRNA profile for predicting high-grade ccRCCs. Data from a prospective cohort (n = 140) were collected between November 2018 and November 2019. Frozen tumor tissues and plasma were used to measure PBRM1, BAP1, SET domain-containing 2 (SETD2), KDM5C, FOXC2, CLIP4, AQP1, DDX11, BAIAP2L1, and TMEM38B mRNA levels, and correlation with the Fuhrman grade was investigated. Multivariate logistic regression analysis revealed significant association between high-grade ccRCC and SETD2 and DDX11 mRNA levels in tissues (odds ratio (β) = 0.021, 95% confidence interval (CI): 0.001–0.466, p = 0.014; β = 6.116, 95% CI: 1.729–21.631, p = 0.005, respectively) and plasma (β = 0.028, 95% CI 0.007–0.119, p < 0.001; β = 1.496, 95% CI: 1.187–1.885, p = 0.001, respectively). High-grade ccRCC prediction models revealed areas under the curve of 0.997 and 0.971 and diagnostic accuracies of 97.86% and 92.86% for the frozen tissue and plasma, respectively. SETD2 and DDX11 mRNA can serve as non-invasive plasma biomarkers for predicting high-grade ccRCCs. Studies with long follow-ups are needed to validate the prognostic value of these biomarkers in ccRCCs.


Sign in / Sign up

Export Citation Format

Share Document