INTRATUMORAL STROMAL MAST CELLS IN RENAL CELL CARCINOMA: CLINICAL AND MORPHOLOGICAL COMPARISONS

In the work there was investigated the prognostic value of the counting of intratumoral stromal mast cells (MC) in renal cell carcinoma. Tissue samples were obtained intraoperatively from 63 patients with renal cell carcinoma. The average age of patients accounted for 58.2 ± 12 years. There were observed 34 (54%) men and 29 (46%) women. There were revealed correlation relationships between the density of distribution of mast cells in tumor and the clinical stage of the disease (r = 0.69; p = 0.0001), tumor nodule size (r = 0.58; p = 0.0001), the presence of regional and distant metastases (r = 0.48; p = 0.0001), tumor grade according to the criteria of Fuhrman (r = 0.89; p = 0.001), and postoperative survival of patients (r = 0.40; p = 0.001). There was found no interrelationship between the number of MC in tumor with the gender (r = -0.03; p = 0.8), age (r = -0.15; p= 0.25), and the histological type of tumor (r = 0.16; p = 0.19). The gain in the number of intratumoral stromal MC in carcinoma can be considered as a predictor of the possible appearance of metastases. The high amount of MC in tumor has been shown to correlate with a poor prognosis of the patients with renal cell carcinoma.

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MiR-122 promotes renal cancer cell proliferation by targeting Sprouty2

Tumor Biology ◽

10.1177/1010428317691184 ◽

2017 ◽

Vol 39 (2) ◽

pp. 101042831769118 ◽

Cited By ~ 7

Author(s):

Zijie Wang ◽

Chao Qin ◽

Jing Zhang ◽

Zhijian Han ◽

Jun Tao ◽

...

Keyword(s):

Renal Cell Carcinoma ◽

Cell Carcinoma ◽

Renal Cell ◽

Carcinoma Cell ◽

Tissue Samples ◽

Renal Cell Carcinoma Cell ◽

Carcinoma Tissue ◽

Primary Renal Cell Carcinoma ◽

Renal Cell Carcinoma Tissue

MicroRNAs are short non-coding RNAs, which have been implicated in several biological processes. Aberrant expression of the microRNA miR-122 has frequently been reported in malignant cancers. However, the mechanism underlying the effects of miR-122 in renal cell carcinoma remains unknown. The aim of this study was to determine the biological function of miR-122 in renal cell carcinoma and to identify a novel molecular target regulated by miR-122. We measured the expression levels of Sprouty2 in six renal cell carcinoma tissue samples and adjacent non-tumor tissues by western blot analysis. We then used reverse transcription polymerase chain reaction to measure miR-122 levels in 40 primary renal cell carcinoma and adjacent non-malignant tissue samples. The effects of miR-122 down-regulation or Sprouty2 knockdown were evaluated via Cell Counting Kit-8 assay, flow cytometry, and western blot analysis. The relationship between miR-122 and Sprouty2 was determined using dual-luciferase reporter assays. Sprouty2 was down-regulated in renal cell carcinoma tissue samples compared with adjacent normal tissue. In contrast, miR-122 was up-regulated in primary renal cell carcinoma tissue samples compared with adjacent normal tissue samples. Down-regulation of miR-122 substantially weakened the proliferative ability of renal cell carcinoma cell lines in vitro. In contrast, Sprouty2 knockdown promoted the in vitro proliferation of renal cell carcinoma cell lines. The spry2 gene could therefore be a direct target of miR-122. In conclusion, miR-122 could act as a tumor promoter and potentially target Sprouty2. MiR-122 promotes renal cell carcinoma cell proliferation, migration, and invasion and could be a molecular target in novel therapies for renal cell carcinoma.

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1777: Differences in Site of Distant Metastases by Renal Cell Carcinoma Subtype

The Journal of Urology ◽

10.1016/s0022-5347(18)38969-9 ◽

2004 ◽

Vol 171 (4S) ◽

pp. 470-470

Author(s):

Michael D. Gillett ◽

John C. Cheville ◽

Christine M. Lohse ◽

Bradley C. Leibovich ◽

Horst Zincke ◽

...

Keyword(s):

Renal Cell Carcinoma ◽

Cell Carcinoma ◽

Renal Cell ◽

Distant Metastases

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Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information

Journal of Digital Imaging ◽

10.1007/s10278-021-00500-y ◽

2021 ◽

Author(s):

Zahra Khodabakhshi ◽

Mehdi Amini ◽

Shayan Mostafaei ◽

Atlas Haddadi Avval ◽

Mostafa Nazari ◽

...

Keyword(s):

Renal Cell Carcinoma ◽

Overall Survival ◽

Cell Carcinoma ◽

Clinical Features ◽

Renal Cell ◽

Radical Nephrectomy ◽

Clinical Information ◽

Tumor Grade ◽

Imaging Biomarkers ◽

Area Density

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.

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