scholarly journals Renal Cell Carcinoma Associated with Xp11.2 Translocation/TFE3 Gene Fusions: Clinical Features, Treatments and Prognosis

PLoS ONE ◽  
2016 ◽  
Vol 11 (11) ◽  
pp. e0166897 ◽  
Author(s):  
Ning Liu ◽  
Zhen Wang ◽  
Weidong Gan ◽  
Lei Xiong ◽  
Baolei Miao ◽  
...  
2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 736-736
Author(s):  
Yuan-Yuan Qu ◽  
Hailiang Zhang ◽  
Wenhao Xu ◽  
Hongkai Wang ◽  
Xi Tian ◽  
...  

736 Background: Xp11.2 translocation renal cell carcinoma (Xp11.2 RCC) is a rare subtype of RCC which occurs predominantly in children and adolescents. Xp11.2 RCC is characterized by the gene fusions of transcription factor E3 (TFE3). Since there is a high false-positive and false-negative rate of immunohistochemistry (IHC) for TFE3 and an uncertainty of TFE3 fusion partners by fluorescence in situ hybridization (FISH), a genetic approach, such as DNA sequencing, is necessary for auxiliary diagnosis. Methods: Thirty Chinese Xp11.2 RCC patients with positive TEF3 fusion diagnosed by FISH were involved in this analysis. Formalin-fixed, paraffin-embedded (FFPE) samples were collected for a next-generation sequencing (NGS)-based 576 gene panel assay. Genomic alterations including single base substitution, copy number variations, gene fusions, and rearrangements were assessed. Tumor mutational burden (TMB) and microsatellite instability (MSI) status were also analyzed by an NGS algorithm. Results: The 30 patients in the Xp11.2 RCC cohort included 13 males and 17 females, and had a median age of 30 years. TFE3 fusions of these patients were confirmed by both FISH and NGS. Out of the 30 Xp11.2 RCC patients, 2 patients (6.7%) showed negative TFE3 IHC expression and 4 patients (13.3%) showed equivocal TFE3 IHC expression. ASPL (9/30), PRCC (5/30), PSF (5/30), and NONO (3/30) were the most common partners of TFE3 fusion in this cohort. Moreover, we identified uncommon or novel partner genes by NGS, including ZNF627 (1/30), PTPN12 (1/30), PBM10 (1/30), PARP14 (1/30), MED15 (2/30), MATR3 (1/30), LUC7L3 (1/30), KHSRP (1/30), and EWSR1 (1/30). Based on the NGS results, several actionable genomic alterations including CDKN2A, BRCA2, and ATM were found in this study. All samples were identified as microsatellite stable (MSS). The median TMB of the entire cohort was 1.35 muts/Mb (range, 0-9.2 muts/Mb). Conclusions: In summary, we identified the partner genes of TFE3 fusion in 30 Chinese Xp11.2 RCC patients by NGS. Ten uncommon or novel partner genes (33.3%) of TFE3 were identified in this study. Overall, our results provide evidence for diagnosis and therapeutic strategies for Xp11.2 RCC patients.


Author(s):  
Zahra Khodabakhshi ◽  
Mehdi Amini ◽  
Shayan Mostafaei ◽  
Atlas Haddadi Avval ◽  
Mostafa Nazari ◽  
...  

AbstractThe aim of this work is to investigate the applicability of radiomic features alone and in combination with clinical information for the prediction of renal cell carcinoma (RCC) patients’ overall survival after partial or radical nephrectomy. Clinical studies of 210 RCC patients from The Cancer Imaging Archive (TCIA) who underwent either partial or radical nephrectomy were included in this study. Regions of interest (ROIs) were manually defined on CT images. A total of 225 radiomic features were extracted and analyzed along with the 59 clinical features. An elastic net penalized Cox regression was used for feature selection. Accelerated failure time (AFT) with the shared frailty model was used to determine the effects of the selected features on the overall survival time. Eleven radiomic and twelve clinical features were selected based on their non-zero coefficients. Tumor grade, tumor malignancy, and pathology t-stage were the most significant predictors of overall survival (OS) among the clinical features (p < 0.002, < 0.02, and < 0.018, respectively). The most significant predictors of OS among the selected radiomic features were flatness, area density, and median (p < 0.02, < 0.02, and < 0.05, respectively). Along with important clinical features, such as tumor heterogeneity and tumor grade, imaging biomarkers such as tumor flatness, area density, and median are significantly correlated with OS of RCC patients.


2016 ◽  
Vol 27 (2) ◽  
pp. 543-552 ◽  
Author(s):  
Xiao Chen ◽  
Qingqiang Zhu ◽  
Baoxin Li ◽  
Wenjing Cui ◽  
Hao Zhou ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document