Fumaratehydratase-deficient renal cell carcinoma: a clinicopathological and molecular study of 13 cases

2019 ◽  
Vol 72 (11) ◽  
pp. 748-754 ◽  
Author(s):  
Xiuyi Pan ◽  
Mengni Zhang ◽  
Jin Yao ◽  
Hao Zeng ◽  
Ling Nie ◽  
...  

AimsHereditary leiomyomatosis and renal cell carcinoma (HLRCC) is a newly recognised entity in the WHO 2016 classification defined as the germline mutation of FH gene. Fumaratehydratase-deficient renal cell carcinoma (FH-deficient RCC) is recommended for tumours with FH deficiency but lacking of genetic evidences of FH germline mutation. In this study, we described the clinicopathological and molecular changes of 13 FH-deficient RCCs.Methods and resultsHistology features, clinicopathological data, radiology performance and outcomes were collected for each patient. Next-generation sequencing and DNA sequencing of FH gene were performed to examine FH mutations. The patient group included five females and eight males. Different morphological patterns of papillary, nested, adenoid, foam adenoid, cribriform, tubular, tubulocystic, cystic and loose oedema stroma were observed. Except typical big nuclei with or without eosinophilic nucleoli and perinucleolar halos, raisin-like, hobnail-like and even low-grade nuclei were also observed in these tumours. Eleven cases with high-grade nuclei showed disease progression or death, but no disease progression was detected in two cases with low-grade nuclei and eosinophilic cytoplasm. FH expression was absent in tumour cells except for case 11. Next-generation sequencing and DNA sequencing verified seven FH germline mutations and four somatic mutations out of 13 cases.ConclusionsFH-deficient RCC is a rare renal tumour and has a wide morphological spectrum. Most of the tumours had high-grade nuclei and were aggressive. However, we observed a morphological subtype of FH-deficient RCC with low-grade nuclei and eosinophilic cytoplasm, which might mainly occur in young women and show a relatively good prognosis.

Author(s):  
Ayan Kundu ◽  
Anway Sen ◽  
Shouvik Choudhury ◽  
Tapan Kumar Mandal ◽  
Debasish Guha ◽  
...  

Background and aims. Renal cell carcinoma (RCC) seems to be the most aggressive type of genitourinary neoplasm. Down regulation of normal beta-catenin expression contributes to development of RCC, reflecting the role of beta-catenin/Wnt signaling pathway in pathogenesis. This study aims to evaluate the significance of beta-catenin expression and its correlation with the prognostic parameters. Methods. A cross-sectional observational study was carried out in a tertiary care center on 58 RCC cases using variables like histological grade and type, tumor stage, necrosis. Formalin fixed, paraffin-embedded blocks were evaluated for beta-catenin expression by immunohistochemistry using scoring system. Data were analyzed by mean ± SD, χ2 test, Pearson’s correlation test. Results. Membranous score (MS) had a strong negative correlation with tumor stage (r = -0.407, p = 0.044) and grade (r = -0.787, p = <0.001). Mean membranous score difference between low (Stage 1 and 2) vs. high stage (Stage 3 and 4) and low (Grade 1 and 2) vs. high grade (Grade 3 and 4) was statistically significant (p < 0.001). Cytoplasmic score (CS) had positive correlation with tumor stage (r = 0.586; p = 0.002). No significant correlation was evident between cytoplasmic scores and tumor grade, however the mean cytoplasmic score difference between low grade vs. high grade was statistically significant (p < 0.001). Conclusion. Beta-catenin may play a crucial role in the pathogenesis of RCC and has a positive correlation with the biological behavior of this tumor. The important role of beta-catenin as a prognostic parameter and probably a critical evaluator of targeted chemotherapy cannot be overemphasized.


2020 ◽  
Vol 2020 (2) ◽  
Author(s):  
Koujin Miura ◽  
Yasushi Adachi ◽  
Toshiaki Shirahase ◽  
Yoji Nagashima ◽  
Kazuki Suemune ◽  
...  

Abstract Mucinous tubular and spindle cell carcinoma (MTSCC) is a rare renal cell carcinoma that initially presents as low-grade renal cell carcinoma. However, cases of MTSCC with high-grade histology and poor prognosis have been reported. Here, we report a case of MTSCC with high-grade histological features and metastasis. A 77-year-old woman consulted a hospital following frequent and painful micturition. Computed tomography scan revealed a tumor of the left kidney. First, chemotherapy was performed, with no effects. Therefore, nephrectomy was subsequently performed. Histologically, the tumor showed the features of MTSCC with sarcomatoid component. Metastasis of the tumor into the lymph node was also observed. Although adjuvant chemotherapy was performed after nephrectomy, metastasis to the lungs and bone and local recurrence was observed. The patient is still alive 2 years after nephrectomy with metastasis and recurrence of the tumor. High-grade MTSCC shows a relatively poor prognosis, specifically MTSCC with metastasis upon nephrectomy.


2018 ◽  
Vol 188 (4) ◽  
pp. 846-852 ◽  
Author(s):  
Qingqing Liu ◽  
Kristine M. Cornejo ◽  
Liang Cheng ◽  
Lloyd Hutchinson ◽  
Mingsheng Wang ◽  
...  

2016 ◽  
Vol 34 (15_suppl) ◽  
pp. 4564-4564 ◽  
Author(s):  
Heidi Coy ◽  
Michael Douek ◽  
Jonathan Young ◽  
Matthew S. Brown ◽  
Jonathan Goldin ◽  
...  

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e16070-e16070
Author(s):  
Jamal Zekri ◽  
Abdelrazak Meliti ◽  
Mohammed Abhas Baghdadi ◽  
Turki Sobahy ◽  
Saba Imtiaz

e16070 Background: The management of the clear cell renal cell carcinoma (cc-RCC) has evolved over the past decade. Clinical patients’ and tumor characteristics have a limited role in predicting the outcome of these patients. The search for reliable prognostic and predictive biomarkers should be pursued in particular during the current era of next generation sequencing (NGS) technology. Methods: Formalin-Fixed Paraffin-Embedded (FFPE) tissue specimens of cc-RCC were sequenced using NGS and a customized gene panel testing for 72 tumor-related genes. High potential variants were defined by mutation effect (stop-loss, stop-gain, frame-shift substitutions or non-synonymous SNV) and class (pathogenic or likely pathogenic). Cases with identical variants were identified. Results: In total, all 47 cases had 69,052 variants, of which 20,453 were classified as high potential variants. Identical alterations in 15 genes were present in all samples. These genes are: MUC3A, MUC12, MUC7, SRRT, MUC2, MUC5AC, MUC5B, MUC22, MUC6, CR1, MUC4, MUC16, MUC19, MUC17 and MERTK. The numbers of identical and non-identical variants in these 15 genes were counted for each sample. Median number of variants was 377 and was selected as a cut off to define cases with high ( > 377) and low (≤377) variants number (HVN and LVN respectively). For the whole cohort, HVN was associated with shorter overall survival compared to LVN (Median 50 months vs. not reached; Log Rank P = 0.041). In the 11 patients who received anti-angiogenic tyrosine kinase inhibitors (TKIs), HVN was associated with a trend of shorter progression free survival (Median 5 vs. 10 months; Log Rank P = not significant). Conclusions: Alterations in SRRT, CR1, MERTK and MUCIN family genes are very common in RCC. HVN ( > 377) is associated with worse prognosis and may predict decreased benefit from anti-angiogenic TKIs.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Subhanik Purkayastha ◽  
Yijun Zhao ◽  
Jing Wu ◽  
Rong Hu ◽  
Aidan McGirr ◽  
...  

Abstract Pre-treatment determination of renal cell carcinoma aggressiveness may help guide clinical decision-making. We aimed to differentiate low-grade (Fuhrman I–II) from high-grade (Fuhrman III–IV) renal cell carcinoma using radiomics features extracted from routine MRI. 482 pathologically confirmed renal cell carcinoma lesions from 2008 to 2019 in a multicenter cohort were retrospectively identified. 439 lesions with information on Fuhrman grade from 4 institutions were divided into training and test sets with an 8:2 split for model development and internal validation. Another 43 lesions from a separate institution were set aside for independent external validation. The performance of TPOT (Tree-Based Pipeline Optimization Tool), an automatic machine learning pipeline optimizer, was compared to hand-optimized machine learning pipeline. The best-performing hand-optimized pipeline was a Bayesian classifier with Fischer Score feature selection, achieving an external validation ROC AUC of 0.59 (95% CI 0.49–0.68), accuracy of 0.77 (95% CI 0.68–0.84), sensitivity of 0.38 (95% CI 0.29–0.48), and specificity of 0.86 (95% CI 0.78–0.92). The best-performing TPOT pipeline achieved an external validation ROC AUC of 0.60 (95% CI 0.50–0.69), accuracy of 0.81 (95% CI 0.72–0.88), sensitivity of 0.12 (95% CI 0.14–0.30), and specificity of 0.97 (95% CI 0.87–0.97). Automated machine learning pipelines can perform equivalent to or better than hand-optimized pipeline on an external validation test non-invasively predicting Fuhrman grade of renal cell carcinoma using conventional MRI.


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