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1.
Pol J Radiol ; 79: 290-5, 2014.
Article in English | MEDLINE | ID: mdl-25202435

ABSTRACT

BACKGROUND: Diffusion-weighted imaging (DWI) is an MRI modality using strong bipolar gradients to create a sensitivity of the signal to the thermally-induced Brownian motions of water molecules and in vivo measurement of molecular diffusion. The apparent diffusion coefficient (ADC) is a quantitative parameter calculated from DWI images which is used as a measure of diffusion. DWI allows to obtain comprehensive information on morphological and functional state of the kidney during a single examination without contrast medium administration. The purpose of the study was to evaluate the value of DWI in differentiating benign and malignant solid kidney tumors based on the initial stage of the study. MATERIAL/METHODS: The study included 19 adult patients with pathologically verified renal tumors: 9 patients with clear cell subtype of the renal cell carcinoma, 5 patients with oncocytoma and 5 patients with angiomyolipoma (AML). In addition, 5 healthy volunteers with completely normal findings according to kidney ultrasound were included into this study and set as reference. All patients underwent renal MR imaging which included DWI with subsequent ADC measurement. MR imaging was performed with a 1.5 T body scanner using an eight-channel phased-array body coil. RESULTS: The mean ADC value of ccRCC was significantly lower than that of normal renal parenchyma (2.11±0.25×10(-3) mm(2)/s vs. 3.36±0.41×10(-3) mm(2)/s, p<0.01). There was a significant difference in ADC between the malignant and benign renal lesions: in patients with angiomyolipoma the ADC value was 2.36±0.32×10(-3) mm(2)/s vs. 2.11±0.25×10(-3) mm(2)/s; p<0.05 and in patients with oncocytoma - 2.75±0.27×10(-3) mm(2)/s vs. 2.11±0.25×10(-3) mm(2)/s; p<0.05. The difference in ADC values in patients with high and low ccRCC grades was observed. CONCLUSIONS: DWI can be used to characterize renal lesions; the ADC of a renal lesion can be potentially used as an additional parameter to help determine the appropriate clinical management.

2.
Clin Exp Med ; 19(4): 515-524, 2019 Nov.
Article in English | MEDLINE | ID: mdl-31440867

ABSTRACT

None of the currently investigated molecular markers demonstrated sufficient accuracy in prognostication of the renal cell carcinoma (RCC) oncologic outcomes; thus, none of them has been recommended for the application in the routine clinical practice. The role of miR-15a as a potential prognostic marker for RCC is still not unveiled. The aim of our study was to assess the expression of miR-15a in tumor tissues of the patients with RCC and to evaluate the possibility of its usage as a prognostic molecular biomarker of this disease. The retrospective included 64 adult patients with clear cell RCC (ccRCC) in whom radical or partial nephrectomy was conducted. After deparaffinization of formalin-fixed paraffin-embedded (FFPE) ccRCC specimens, the tissue expression of miR-15a was measured using the reverse transcription and quantitative polymerase chain reaction in the real time. For the reference, the expression of miR-15a was estimated in 15 FFPE tissue specimens of the normal renal parenchyma. Survival analysis involved all cases of non-metastatic RCCs (n = 57). Five-year cancer-specific survival (CSS) was estimated by means of the Kaplan-Meier method and was calculated from the date of surgery to the date of death. Patients with the RCC were characterized by significantly upregulated tumor tissue mean levels of miR-15a compared to the healthy controls: 0.10 ± 2.62 relative units (RU) versus 4.84E - 03 ± 3.11E - 03 RU (p < 0.001). Overexpression of miR-15a was strongly associated with poor histologic prognostic features of ccRCC. Poorly differentiated tumors tend to have more pronounced upregulation of miR-15a compared to highly differentiated lesions: Mean expression values were 4.57 ± 3.19 RU for Fuhrman grade 4 versus 0.02 ± 0.01 RU for Fuhrman grade 1 (p < 0.001). The metastatic involvement of the regional lymphatic nodules (N +) was associated with significantly upregulated miRNA-15a in comparison with N - cases: Mean expression values were 4.92 ± 2.80 RU versus 1.10 ± 2.29 RU, respectively (p < 0.001). In patients with miR-15a expression in RCC tissues ≤ 0.10 RU, mean 5-year CSS was significantly longer compared to patients with expression levels above this threshold: 92.31% (mean duration of survival-59.88 ± 0.12 months) versus 54.8% (mean duration of survival-49.74 ± 2.16 months), respectively (p < 0.001). The tissue expression of miR-15a could be used as a potential prognostic molecular biomarker for conventional RCC.


Subject(s)
Biomarkers, Tumor/genetics , Carcinoma, Renal Cell/surgery , Kidney Neoplasms/surgery , MicroRNAs/genetics , Up-Regulation , Carcinoma, Renal Cell/genetics , Carcinoma, Renal Cell/mortality , Female , Gene Expression Regulation, Neoplastic , Humans , Kidney/chemistry , Kidney Neoplasms/genetics , Kidney Neoplasms/mortality , Lymphatic Metastasis , Male , Nephrectomy , Prognosis , Retrospective Studies , Survival Analysis , Treatment Outcome
3.
Int Urol Nephrol ; 50(5): 851-859, 2018 May.
Article in English | MEDLINE | ID: mdl-29549624

ABSTRACT

INTRODUCTION: Currently, there is no accurate diagnostic molecular biomarker for renal cell carcinoma (RCC). The aim of this study was to assess the expression of microRNA-15a (miR-15a) in urine of patients with RCC and to evaluate its potential as a diagnostic molecular biomarker. MATERIALS AND METHODS: In total, 67 patients with solid renal tumors were enrolled: clear-cell RCC (ccRCC, n = 22), papillary RCC (pRCC, n = 16), chromophobe RCC (chRCC, n = 14), oncocytoma (n = 8), papillary adenoma (n = 2) and angiomyolipoma (n = 5). MiRNA-15a expression levels measurement in urine were performed using qPCR. Urine of 15 healthy volunteers without kidney pathology was used as control. RESULTS: We observed a difference in mean miR-15a expression values in groups of pre-operative patients with RCC, benign renal tumors and healthy persons (2.50E-01 ± 2.72E-01 vs 1.32E-03 ± 3.90E-03 vs 3.36E-07 ± 1.04E-07 RFU, respectively, p < 0.01). There was no difference in miR-15a expression between ccRCC, pRCC and chRCC (p > 0.05). Direct association between RCC size and miR-15a expression values was obtained (Pearson correlation coefficient-0.873). On the 8th day after nephrectomy, mean expression value in patients with RCC decreased by 99.53% (p < 0.01). MiR-15a expression differentiated RCC from benign renal tumors with 98.1% specificity, 100% sensitivity at a cut-off value of 5.00E-06 RFU, with AUC-0.955. CONCLUSIONS: MiR-15a expression measured in urine may be used as diagnostic molecular biomarker for RCC.


Subject(s)
Adenoma, Oxyphilic/urine , Adenoma/urine , Angiomyolipoma/urine , Carcinoma, Renal Cell/urine , Kidney Neoplasms/urine , MicroRNAs/urine , Aged , Biomarkers, Tumor/urine , Carcinoma, Renal Cell/diagnosis , Carcinoma, Renal Cell/pathology , Carcinoma, Renal Cell/surgery , Case-Control Studies , Female , Humans , Kidney Neoplasms/diagnosis , Kidney Neoplasms/pathology , Kidney Neoplasms/surgery , Male , Middle Aged , Neoplasm Staging , Nephrectomy , Polymerase Chain Reaction , Sensitivity and Specificity , Tumor Burden
4.
Cent European J Urol ; 71(3): 295-303, 2018.
Article in English | MEDLINE | ID: mdl-30386650

ABSTRACT

INTRODUCTION: Renal cell carcinoma (RCC) accounts for 3% of adult malignancies and more than 90% of kidney neoplasms. High rates of undiagnostic percutaneous kidney biopsies and difficulties in reliable pre-operative differentiation between malignant and benign renal tumors using contemporary imaging techniques result in large numbers of redundant surgeries. Absence of specific biomarkers for early detection and monitoring complicates on-time diagnosis of the disease and relapse. For the patients followed up after having a nephrectomy, a noninvasive and sensitive biomarker enabling early detection of disease relapse would be extremely useful. MATERIAL AND METHODS: The study is a review of recent knowledge regarding potential clinical applications of microRNAs (miRNAs) as biomarkers of RCC. RESULTS: MicroRNAs are essential regulators of various processes such as cell proliferation, differentiation, development and death; they have been implicated in diverse biological and pathological processes in RCC. There is a class of miRNAs that promote RCC development (oncomirs) and a class of miRNAs that negatively regulate oncogenes, suppress tumor growth and invasion, and thus could be considered treatment agents (anti-oncomirs). Separate miRNAs and specific miRNAs expression profiles have been identified, enabling early detection of the disease, prediction of response to systemic therapy, or prognostication of biological behavior of the disease. CONCLUSIONS: The miRNA network analysis and gene profiling may help to identify the most sensible molecular signatures of RCC that can be used for diagnostic purposes, as well as poor prognosis signatures and poor therapeutic response signatures in patients who undergo systemic therapy.

5.
Int Urol Nephrol ; 49(2): 215-224, 2017 Feb.
Article in English | MEDLINE | ID: mdl-27853915

ABSTRACT

BACKGROUND: Renal cell carcinoma (RCC) represents the most common malignant epithelial neoplasm of the kidney. Accurate assessment of the renal masses, defining the histologic subtype and the grade of differentiation of the tumor, is vital to ensure an adequate case management as well as for staging and prognosis. Recently, diffusion-weighted imaging (DWI) magnetic resonance imaging (MRI) tends to be increasingly appealing for the clinicians as an imaging procedure of choice for the diagnosis and staging of the RCC, which is predetermined by several advantages over CT. The goal of the survey was to assess the applicability of the apparent diffusion coefficient (ADC) of the DWI MRI for the differential diagnostics, histologic subtyping, and defining the grade of differentiation of the RCC. METHODS: The study enrolled 288 adult patients with renal lesions: 188 patients with solid RCC-126 patients with clear cell subtype (ccRCC), 32 patients with papillary RCC (pRCC), 30 patients with chromophobe RCC (chRCC); 27 patient with cystic form or RCC (Bosniak cyst, category IV); 32 patients with renal angiomyolipoma (AML); 25 patients with renal oncocytoma (OC); and 16 patients with the renal abscess (AB). In total, 245 lesions were pathologically verified. As a reference, 19 healthy volunteers were included into the study. All patients underwent MRI of the kidneys, involving DWI with subsequent evaluation of the ADC. RESULTS: There was a reliable difference (p < 0.05) in mean ADC values between the normal renal parenchyma (NRP), solid RCC of different histologic subtypes and grades, cystic RCC, and benign renal lesions. The mean ADC values obtained in the result of the study were (×10-3 mm2/s): 2.47 ± 0.12 in NRP, 1.63 ± 0.29 in all solid RCCs, 1.82 ± 0.22 in solid ccRCC (1.92 ± 0.11-Fuhrman grade I, 1.84 ± 0.14-Fuhrman grade II, 1.79 ± 0.10-Fuhrman grade III, 1.72 ± 0.06-Fuhrman grade IV), 1.61 ± 0.07 in pRCC, 1.46 ± 0.09 in chRCC, 2.68 ± 0.11 in cystic RCC, 2.13 ± 0.08 in AML, 2.26 ± 0.06 in OC, and 3.30 ± 0.07 in AB. CONCLUSION: The data received in our study demonstrate a substantial restriction of diffusion of hydrogen molecules in tissues of ccRCC in comparison with the healthy renal parenchyma preconditioned by the greater density of tumor. A statistically significant difference in mean ADC values of ccRCC with different grades of nuclear pleomorphism by Fuhrman was observed: Low-grade tumors showed higher mean ADC values compared to high-grade tumors. The modality of the MRI DWI along with ADC measurement allows to reliably differentiate between the solid RCC of main histologic subtypes and grades, cystic RCC, and the benign renal lesions.


Subject(s)
Carcinoma, Renal Cell , Diffusion Magnetic Resonance Imaging/methods , Kidney , Adult , Aged , Carcinoma, Renal Cell/diagnosis , Carcinoma, Renal Cell/pathology , Diagnosis, Differential , Dimensional Measurement Accuracy , Female , Humans , Kidney/diagnostic imaging , Kidney/pathology , Male , Middle Aged , Neoplasm Grading , Neoplasm Staging , Patient Selection , Prognosis , Quality Improvement , Reproducibility of Results
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