MiRNAs with the potential to distinguish follicular thyroid carcinomas from benign follicular thyroid tumors: Results of a meta-analysis

Hormone and Metabolic Research

Volumn 46, Issue 3, 2014, Pages 171-180

  Stokowy, T ^a,b   Wojtas B ^b   Fujarewicz, K ^a   Jarzab, B ^b   Eszlinger, M ^c   Paschke, R ^c  

^a SILESIAN UNIVERSITY OF TECHNOLOGY   (Poland)

^b INSTITUTE OF ONCOLOGY   (Poland)

^c UNIVERSITY OF LEIPZIG   (Germany)

Author keywords

follicular thyroid tumors; integrated statistical analysis; microarray; miRNA

Indexed keywords

MICRORNA; MICRORNA 181C 3P; MICRORNA 206; MICRORNA 7 5P; TUMOR MARKER; UNCLASSIFIED DRUG;

ARTICLE; BENIGN TUMOR; CANCER CLASSIFICATION; DISEASE CLASSIFICATION; FINE NEEDLE ASPIRATION BIOPSY; HUMAN; INFORMATION RETRIEVAL; MARKER GENE; META ANALYSIS (TOPIC); POLYMERASE CHAIN REACTION; POLYMERASE CHAIN REACTION SYSTEM; PRIORITY JOURNAL; QUANTITATIVE ASSAY; SAMPLING; SOMATIC MUTATION; STATISTICAL ANALYSIS; THYROID ADENOMA; THYROID FOLLICULAR CARCINOMA; THYROID TUMOR; VALIDATION PROCESS;

ADENOCARCINOMA, FOLLICULAR; ADENOMA; DATABASES, GENETIC; DIAGNOSIS, DIFFERENTIAL; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; MICRORNAS; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; TUMOR MARKERS, BIOLOGICAL;

EID: 84895533447     PISSN: 00185043     EISSN: 14394286     Source Type: Journal    
DOI: 10.1055/s-0033-1363264     Document Type: Article

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