Open AccessCandidate microRNAs as biomarkers of thyroid carcinoma: a systematic review, meta‐analysis, and experimental validation
Author(s) -
Hu Yiren,
Wang Hui,
Chen Ende,
Xu Zhifeng,
Chen Bi,
Lu Guowen
Publication year - 2016
Publication title -
cancer medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.403
H-Index - 53
ISSN - 2045-7634
DOI - 10.1002/cam4.811
Subject(s) - thyroid carcinoma , meta analysis , rna , thyroid cancer , thyroid , microrna , carcinoma , medicine , oncology , cancer research , biology , pathology , bioinformatics , gene , genetics
Thyroid cancer is one of the most common carcinomas of the endocrine system with an increasing incidence. A growing number of studies have focused on the diagnostic and prognostic values of dysregulated micro RNA s (mi RNA s) in thyroid carcinoma. However, differences in the measurement platforms, variations in lab protocols, and small sample sizes can make gene profiling data incomparable. A meta‐review of the published studies that compared mi RNA expression data of thyroid carcinoma and paired normal tissues was performed to identify potential mi RNA biomarkers of thyroid carcinoma with the vote‐counting strategy. Two hundred and thirty‐six aberrantly expressed mi RNA s were reported in 19 micro RNA expression profiling studies. Among them, 138 mi RNA s were reported in at least two studies. We also provided a meta‐signature of differentially expressed mi RNA s between individual histological types of thyroid carcinoma and normal tissues. The experimental validation with qRT ‐ PCR analysis verified that the profiles identified with the meta‐review approach could effectively discriminate papillary thyroid carcinoma tissues from paired noncancer tissues. The meta‐review of mi RNA expression profiling studies of thyroid carcinoma would provide information on candidate mi RNA s that could potentially be used as biomarkers in thyroid carcinoma.