about
Combination of MiR-378 and MiR-210 Serum Levels Enables Sensitive Detection of Renal Cell CarcinomaUrine microRNAs as potential noninvasive biomarkers in urologic cancers.Overexpression of long non-coding RNA TUG1 predicts poor prognosis and promotes cancer cell proliferation and migration in high-grade muscle-invasive bladder cancer.Expression Levels of PIWI-interacting RNA, piR-823, Are Deregulated in Tumor Tissue, Blood Serum and Urine of Patients with Renal Cell Carcinoma.Detection of let-7 miRNAs in urine supernatant as potential diagnostic approach in non-metastatic clear-cell renal cell carcinomaEpithelial-mesenchymal transition-associated microRNA/mRNA signature is linked to metastasis and prognosis in clear-cell renal cell carcinoma.[Epidemiological and clinico-pathological characteristics of patients with renal carcinoma: a single institution analysis of 544 cases].Genome-wide identification of urinary cell-free microRNAs for non-invasive detection of bladder cancer.[Salvage lymph node dissection in radical prostatectomy failure - a case study].Primary adenocarcinoma of the epididymis: the therapeutic role of retroperitoneal lymphadenectomy.MiR-429 is linked to metastasis and poor prognosis in renal cell carcinoma by affecting epithelial-mesenchymal transition.Effect of ureterointestinal anastomosis on renal function and morbidity in intestinal urinary diversionSentinel lymph node dissection combined with meticulous histology increases the detection rate of nodal metastases in prostate cancerClinically node-positive bladder cancer: oncological results of induction chemotherapy and consolidative surgerySentinel lymph node dissection in prostate cancer using superparamagnetic particles of iron oxide: early clinical experience[Urinary MicroRNAs as Potential Biomarkers of Bladder Cancer]
P50
Q36247287-031DEC43-CB16-4BCC-A482-AEE53B4515C7Q38137530-F00FE8E9-3D91-464E-A87F-AF91C147BB32Q38755660-15771DEB-46C1-4889-9F67-E53636E5EA4CQ39128704-B9587A73-F362-4850-9C2C-BED5905433ECQ40988436-6B572B2C-EB34-4BCA-8486-2DDB1860B59EQ41430806-AAD5DB4E-0B88-42F4-934A-2CE0709DAABCQ45746755-B212BF15-3A6E-4F68-A461-3E588FD63E8AQ48176407-40971719-DB23-4A7E-9776-B26188A70FFBQ49987598-6DA97ADC-585E-4045-AB87-E3AD43EEC787Q51411420-9BDE4198-E938-4965-B4B6-D595CDDE01EBQ51516460-075D356B-AC0B-45B4-A102-45A51A9AEA01Q85222593-9474DD03-EBAC-44A0-BC61-1A121D01984EQ87560324-76C064DA-C7DF-4B50-95CC-45382B84DA66Q88042232-438A23B8-63C1-46A8-807C-4E47BDA35F9EQ89287541-C92179BE-77C9-40CF-9F4E-EBF927D8F9AAQ95542768-36242E9E-5011-40F5-935F-B0632BA3BDD9
P50
description
investigador
@es
researcher
@en
wetenschapper
@nl
name
Michal Staník
@en
Michal Staník
@nl
type
label
Michal Staník
@en
Michal Staník
@nl
prefLabel
Michal Staník
@en
Michal Staník
@nl
P31
P496
0000-0002-5123-024X