scholarly journals The Microbiome in Benign Renal Tissue and in Renal Cell Carcinoma

2019 ◽  
Vol 104 (3-4) ◽  
pp. 247-252 ◽  
Author(s):  
Stefan Heidler ◽  
Lukas Lusuardi ◽  
Stephan Madersbacher ◽  
Christa Freibauer
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Renal Tissue

299 DIFFERENTIATION BETWEEN NORMAL RENAL TISSUE AND RENAL CELL CARCINOMA (RCC) USING OCT

2010 ◽  
Vol 9 (2) ◽  
pp. 120
Author(s):  
K. Barwari ◽  
E. Cauberg ◽  
D.M. De Bruin ◽  
D.J. Faber ◽  
T.G. Van Leeuwen ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Renal Tissue ◽  
Normal Renal Tissue

CYP1A1 activity in renal cell carcinoma and in adjacent normal renal tissue

1998 ◽  
Vol 26 (2) ◽  
pp. 117-121 ◽  
Author(s):  
Sirpa Rintala ◽  
Teuvo L. J. Tammela ◽  
Risto Tuimala
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Renal Tissue ◽  
Normal Renal Tissue

Measurement of progesterone receptor in human renal cell carcinoma and normal renal tissue

1983 ◽  
Vol 22 (3) ◽  
pp. 164-166 ◽  
Author(s):  
Michael W. McDonald ◽  
Ananias C. Diokno ◽  
Jan C. Seski ◽  
K. M. J. Menon
Keyword(s):  
Renal Cell Carcinoma ◽  
Progesterone Receptor ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Renal Tissue ◽  
Human Renal Cell Carcinoma ◽  
Normal Renal Tissue

Angiogenic profile and pathological features in the prediction of clinical outcome of advanced renal cell carcinoma patients receiving sunitinib.

2015 ◽  
Vol 33 (7_suppl) ◽  
pp. 458-458
Author(s):  
Maristella Bianconi ◽  
Mario Scartozzi ◽  
Luca Faloppi ◽  
Antonio Zizzi ◽  
Marco D'Anzeo ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Prognostic Significance ◽  
Significant Snps ◽  
Renal Tissue ◽  
Response To Treatment ◽  
Nucleotide Polymorphisms ◽  
Pathological Features ◽  
Granular Cells

458 Background: Metastatic renal cell carcinoma (mRCC) ever represented a challenge in patients’ treatment, there is a wide variability in the amount and duration of response among patients. It has been previously reported how VEGF and VEGFRs SNPs could predict response to treatment with sunitinib. Tumour heterogeinity is a matter of debate in mRCC. The aim of our study is to assess if pathological features and the expression of VEGF and VEGFRs polymorphisms in tumour, metastatic, and normal renal tissues could have a role in patients’ treatment and prognosis. Methods: We enrolled 123 patients treated at our institution. We collected histologic samples of tumour, metastatic, and normal renal tissue of 92 patients with mRCC treated with first-line sunitinib. For 21 patients, all three tissues were available. A pathological revision was conducted evaluating: granular cells percentage, grading, necrosis, regressive and sarcomatoid areas, and vascularization pattern. Histologic samples were tested for VEGF-A, VEGF-C and VEGFR-1,2,3 single nucleotide polymorphisms (SNPs). Polymorphisms were correlated with pathological features and PFS and OS. We then analysed concordance in SPNs expression among tissues. Results: VEGF A rs833061, VEGF A rs699947, VEGF A rs2010963, and VEGR3 rs6877011 were confirmed as significant SNPs in PFS. 19 out of 21 patients presented concordance among tissues polymorphisms expression (97%). The presence of a G allele in the rs6877011 seems to correlate with a higher percentage of granular cells. The presence of C allele in rs2010963 correlates with an alterated vascularazation. Conclusions: A preliminary analysis of our data shows the predictive and prognostic value of angiogenic polymorphisms and their concordance in tumoral, metastatic, and normal tissue. Furthermore, they are correlated with the percentage of granular cells and the vascular architecture, with possible predictive and prognostic significance. Further data will be presented at the meeting.

Expression of transforming growth factor ? in renal cell carcinoma and matched non-involved renal tissue

2004 ◽  
Vol 32 (5) ◽  
pp. 317-322 ◽  
Author(s):  
Dionisios Mitropoulos ◽  
Aspasia Kiroudi ◽  
Evangelia Christelli ◽  
Efraim Serafetinidis ◽  
Anastasios Zervas ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Growth Factor ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Transforming Growth Factor ◽  
Renal Tissue

scholarly journals HER2 expression in renal cell carcinoma is rare and negatively correlated with that in normal renal tissue

2012 ◽  
Vol 4 (2) ◽  
pp. 194-198 ◽  
Author(s):  
HUILI WANG ◽  
CHENGYI LIU ◽  
JUN HAN ◽  
LIN ZHEN ◽  
TAO ZHANG ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Renal Tissue ◽  
Her2 Expression ◽  
Normal Renal Tissue

Decreases in free cholesterol and fatty acid unsaturation in renal cell carcinoma demonstrated by breath-hold magnetic resonance spectroscopy

2005 ◽  
Vol 288 (4) ◽  
pp. F637-F641 ◽  
Author(s):  
Rachel Katz-Brull ◽  
Neil M. Rofsky ◽  
Martina M. Morrin ◽  
Ivan Pedrosa ◽  
Daniel J. George ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
High Field ◽  
Free Cholesterol ◽  
Renal Tissue ◽  
Treatment Monitoring ◽  
Breath Hold ◽  
Resonance Spectroscopy

Increased utilization of cross-sectional imaging has resulted in increased detection of incidental renal tumors. The noninvasive characterization of renal tissue has important implications for the diagnosis of renal malignancies and treatment monitoring. Recently, multiple breath-hold averaged proton magnetic resonance spectroscopy (1H-MRS) performed at high field has enabled the use of this noninvasive metabolic profiling technique for the investigation of the abdomen. Multiple breath-hold averaged 1H-MRS at high field (3T) was obtained in the kidneys of 10 healthy volunteers and in renal cell carcinoma tumors of 14 patients. The spectra of normal kidneys showed four main groups of resonances: 1) at 5.4–5.6 ppm, attributed to C6 of cholesterol and the unsaturated parts of the olefinic region of fatty acids; 2) at 4.7 ppm, attributed to the residual water signal; 3) at 3.2 ppm, attributed to trimethylamine moiety of choline metabolites; and 4) at 1.3 and 0.9 ppm, attributed to the methylenes and terminal methyls of lipids. The ratio of the signal at 5.4 ppm to that of 1.3 ppm was 19-fold lower in renal cell carcinomas than in healthy kidneys, tied P = 0.0003 Mann-Whitney U-test, suggesting a decrease in both free cholesterol and the degree of unsaturation of fatty acids in the malignant tissue. This metabolic shift is in agreement with previous ex vivo studies of human renal cell carcinoma. The ability to detect renal metabolic shifts noninvasively may improve the specificity of preoperative renal tissue characterization and may provide a new modality for treatment monitoring.

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