URINE MIRNA FINGERPRINT FOR DETECTING BLADDER AND UROTHELIAL CARCINOMA AND APPLICATION THEREOF

Provided is an application of a miRNA fingerprint in the diagnosis and treatment of human bladder and urothelial carcinoma (comprising bladder cancer, renal pelvic carcinoma, ureter cancer, urinary outflow tract cancer, and the like). A plurality of fingerprints consisting of miRNAs can effectively...

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Bibliographische Detailangaben
Hauptverfasser:	TAN, Ruoying, WU, Hongfei, ZHANG, Fengwu, WANG, Hailong
Format:	Patent
Sprache:	chi ; eng ; fre
Schlagworte:	BEER BIOCHEMISTRY CHEMISTRY COMPOSITIONS OR TEST PAPERS THEREFOR COMPOSITIONS THEREOF CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES CULTURE MEDIA ENZYMOLOGY MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS METALLURGY MICROBIOLOGY MICROORGANISMS OR ENZYMES MUTATION OR GENETIC ENGINEERING PROCESSES OF PREPARING SUCH COMPOSITIONS PROPAGATING, PRESERVING OR MAINTAINING MICROORGANISMS SPIRITS VINEGAR WINE
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Beschreibung
Zusammenfassung:	Provided is an application of a miRNA fingerprint in the diagnosis and treatment of human bladder and urothelial carcinoma (comprising bladder cancer, renal pelvic carcinoma, ureter cancer, urinary outflow tract cancer, and the like). A plurality of fingerprints consisting of miRNAs can effectively distinguish a urine sample of bladder and urothelial carcinoma from a urine sample of non-bladder and urothelial carcinoma, and has high sensitivity and strong specificity. The fingerprints can be effectively used for the detection and the early diagnosis and screening of bladder and urothelial carcinoma and the screening of drugs for bladder and urothelial carcinoma. L'invention concerne une application d'une empreinte de miARN dans le diagnostic et le traitement du carcinome de la vessie et urothélial humains (comprenant le cancer de la vessie, le carcinome du bassin rénal, le cancer de l'uretère, le cancer du tractus de sortie urinaire et similaires). Une pluralité d'empreintes composées de miARN peut distinguer