scholarly journals Annexin A1 expression is correlated with malignant potential of renal cell carcinoma

2018 ◽  
Vol 26 (2) ◽  
pp. 284-290 ◽  
Author(s):  
Mariko Yamanoi ◽  
Kazuhiro Yamanoi ◽  
Chifumi Fujii ◽  
Michiko N Fukuda ◽  
Jun Nakayama
2020 ◽  
pp. jclinpath-2020-206681
Author(s):  
Yankun Song ◽  
Xiaoxue Yin ◽  
Qiuyuan Xia ◽  
Linmao Zheng ◽  
Jin Yao ◽  
...  

AimsXp11 translocation renal cell carcinoma (RCC) is a distinctive subtype of RCC with TFE3 (Transcription Factor Binding to IGHM Enhancer 3) gene rearrangement. The gross features in most Xp11 translocation RCCs closely resemble clear cell RCCs. In this study, we report six cases of Xp11 translocation RCCs with a unique multicystic architecture, reminiscent of multilocular cystic renal cell neoplasm of low malignant potential (MCRN-LMP).Methods and resultsMicroscopically, the renal mass was well circumscribed with multilocular cystic architecture. The cyst walls and septa were mostly lined by a single layer of cells with clear cytoplasm and low-grade nuclei, reminiscent of MCRN-LMP. Psammoma bodies were detected in four cases. One particular patient was misdiagnosed with benign cysts in local hospitals and led to second operation. Tumour cells were settled according to the track of the first surgical procedure. TFE3 fluorescence in situ hybridization (FISH) assay confirmed the diagnosis of Xp11 translocation RCCs. FISH and RNA sequencing analyses confirmed MED15-TFE3 gene fusion in all six cases. Respective patients were alive, without any recent evidence of disease recurrence and/or metastasis.ConclusionsHere, we introduce a relatively inertia-variant of Xp11 translocation RCC which mimics MCRN-LMP. The distinctive morphological condition is linked to MED15-TFE3 gene fusion. In fact, renal neoplasms with morphological features of MCRN-LMP, especially those containing psammoma bodies, should be routinely evaluated for evidence of TFE3 gene rearrangements.


2011 ◽  
Vol 30 (4) ◽  
pp. 525-531 ◽  
Author(s):  
M. Horstmann ◽  
L. M. Geiger ◽  
U. Vogel ◽  
H. Schmid ◽  
J. Hennenlotter ◽  
...  

2014 ◽  
Vol 8 (1-2) ◽  
pp. 24 ◽  
Author(s):  
Michael Organ ◽  
Michael Jewett ◽  
Joan Basiuk ◽  
Christopher Morash ◽  
Stephen Pautler ◽  
...  

Introduction: Most small renal masses (SRMs) are diagnosed incidentally and have a low malignant potential. As more elderly patients and infirm patients are diagnosed with SRMs, there is an increased interest in active surveillance (AS) with delayed intervention. Patient and tumour characteristics relating to aggressive disease have not been well-studied. The objective was to determine predictors of growth of SRMs treated with AS.Methods: A multicentre prospective phase 2 clinical trial was conducted on 207 SRMs in 169 patients in 8 institutions in Canada from 2004 to 2009; in these patients treatment was delayed until disease progression. Patient and tumour characteristics were evaluated to determine predictors of growth of SRMs by measuring rates of change in growth (on imaging) over time. All patients underwent AS for presumed renal cell carcinoma (RCC) based on diagnostic imaging. We used the following factors to develop a predictive model of tumour growth with binary recursive partitioning analysis: patient characteristics (age, symptoms at diagnosis) and tumour characteristics (consistency [solid vs. cystic] and maximum diameter at diagnosis.Results: With a median follow-up of 603 days, 169 patients (with 207 SRMs) were followed prospectively. Age, symptoms at diagnosis, tumour consistency and maximum diameter of the renal mass were not predictors of growth. This cohort was limited by lack of availability of patient and tumour characteristics, such as sex, degree of endophytic component and tumour location.Conclusion: Slow growth rates and the low malignant potential of SRMs have led to AS as a treatment option in the elderly and infirm population. In a large prospective cohort, we have shown that age, symptoms, tumour consistency and maximum diameter of the mass at diagnosis are not predictors of growth of T1a lesions. More knowledge on predictors of growth of SRMs is needed.


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