A two miRNA classifier differentiates follicular thyroid carcinomas from follicular thyroid adenomas

Molecular and Cellular Endocrinology

Volumn 399, Issue , 2015, Pages 43-49

  Stokowy, Tomasz ^a,b,c   Wojtaś, Bartosz ^b,d   Krajewska, Jolanta ^b   Stobiecka, Ewa ^b   Dralle, Henning ^e   Musholt, Thomas ^f   Hauptmann, Steffen ^e   Lange, Dariusz ^b   Hegedüs, László ^g   Jarzab, Barbara ^b   Krohn, Knut ^h   Paschke, Ralf ⁱ   Eszlinger, Markus ⁱ  

^a SILESIAN UNIVERSITY OF TECHNOLOGY   (Poland)

^b INSTITUTE OF ONCOLOGY   (Poland)

^c UNIVERSITY OF BERGEN   (Norway)

^d NENCKI INSTITUTE OF EXPERIMENTAL BIOLOGY   (Poland)

^e MARTIN LUTHER UNIVERSITY HALLE WITTENBERG   (Germany)

^f UNIVERSITY MEDICAL CENTER MAINZ   (Germany)

^g ODENSE UNIVERSITY HOSPITAL   (Denmark)

^h UNIVERSITY HOSPITAL LEIPZIG   (Germany)

ⁱ UNIVERSITY OF LEIPZIG   (Germany)

Author keywords

Classifier; Follicular thyroid adenoma; Follicular thyroid cancer

Indexed keywords

MICRORNA; MICRORNA 10A 5P; MICRORNA 1179; MICRORNA 125A 3P; MICRORNA 125B 2 3P; MICRORNA 1287 5P; MICRORNA 130B 5P; MICRORNA 137; MICRORNA 138 5P; MICRORNA 144 5P; MICRORNA 296 5P; MICRORNA 30A 3P; MICRORNA 30C 1 3P; MICRORNA 30D 3P; MICRORNA 328 3P; MICRORNA 375; MICRORNA 663B; MICRORNA 7 2 3P; MICRORNA 7 5P; MICRORNA 767 5P; MICRORNA 874 3P; UNCLASSIFIED DRUG; RNA;

ARTICLE; CANCER TISSUE; CONTROLLED STUDY; CYTODIAGNOSIS; DIFFERENTIAL DIAGNOSIS; GENE EXPRESSION REGULATION; GENETIC ANALYSIS; HUMAN; HUMAN TISSUE; MICROARRAY ANALYSIS; POLYMERASE CHAIN REACTION; PREDICTIVE VALUE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THYROID ADENOMA; THYROID FOLLICULAR ADENOMA; THYROID FOLLICULAR CARCINOMA; THYROID NODULE; ADENOCARCINOMA, FOLLICULAR; BIOSYNTHESIS; CLASSIFICATION; CLINICAL TRIAL; COMPARATIVE STUDY; FEMALE; GENETIC DATABASE; GENETICS; MALE; METABOLISM; THYROID NEOPLASMS;

ADENOCARCINOMA, FOLLICULAR; DATABASES, GENETIC; FEMALE; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; MALE; MICRORNAS; RNA, NEOPLASM; THYROID NEOPLASMS;

EID: 84908565100     PISSN: 03037207     EISSN: 18728057     Source Type: Journal    
DOI: 10.1016/j.mce.2014.09.017     Document Type: Article

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