Literature DB >> 24943685

Diagnostic value of microRNAs in discriminating malignant thyroid nodules from benign ones on fine-needle aspiration samples.

Yang Zhang1, Qi Zhong, Xiaohong Chen, Jugao Fang, Zhigang Huang.   

Abstract

Many studies have suggested that microRNAs (miRNAs) might serve as novel diagnostic indicators of thyroid cancer (TC). However, inconsistent results have also been reported. This meta-analysis was conducted to assess the diagnostic value of miRNAs in discriminating malignant thyroid nodules from benign ones on fine-needle aspiration samples. A systematic literature search for relevant literature published up to April 5, 2014 was conducted in PubMed, Embase, Chinese National Knowledge Infrastructure (CNKI), and Chinese Biological Medicine (CBM) databases. Data from different studies were pooled to estimate the summary sensitivity (SEN), specificity (SPE), positive likelihood ratios (PLR), negative likelihood ratios (NLR), diagnostic odds ratio (DOR), using the random-effect model. Summary receiver operator characteristic curves (SROCs) were plotted and areas under the SROC curve (AUC) were calculated to evaluate the overall test performance. Between-study heterogeneity was tested using the Q tests and the I (2) statistics. Potential sources of heterogeneity were analyzed through subgroup analyses and meta-regression. Deeks' funnel plot asymmetry test was performed to evaluate publication bias. All analyses were performed using STATA 12.0 software. Eighteen studies from 7 articles, including 543 patients with malignant thyroid nodules (n = 266) and benign ones (n = 277), were included in this meta-analysis. The pooled SEN was 0.77 (95 % CI: 0.70-0.83), SPN was 0.75 (95 % CI: 0.68-0.81), PLR was 3.1 (95 % CI: 2.4-4.0), NLR was 0.30 (95 % CI: 0.23-0.39), DOR was 10 (95 % CI: 7-16), and AUC was 0.83 (95 %CI: 0.79-0.86). Subgroup analyses indicated that multiple miRNAs assays showed a higher diagnostic accuracy than single miRNA assays. In conclusion, this meta-analysis suggests that miRNAs analysis can significantly improve diagnostic accuracy for differentiating malignant thyroid nodules from benign indeterminate ones on fine-needle aspiration (FNA) samples. With further confirmation, multiple miRNAs assays may play a critical role as a complement to fine-needle aspiration biopsy (FNAB).

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Year:  2014        PMID: 24943685     DOI: 10.1007/s13277-014-2209-1

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  43 in total

1.  Differentiating benign from malignant thyroid nodules using micro ribonucleic acid amplification in residual cells obtained by fine needle aspiration biopsy.

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Journal:  J Surg Res       Date:  2012-05-14       Impact factor: 2.192

Review 2.  Investigating the thyroid nodule.

Authors:  H M Mehanna; A Jain; R P Morton; J Watkinson; A Shaha
Journal:  BMJ       Date:  2009-03-13

3.  MicroRNA signature in thyroid fine needle aspiration cytology applied to "atypia of undetermined significance" cases.

Authors:  Rulong Shen; Sandya Liyanarachchi; Wei Li; Paul E Wakely; Motoyasu Saji; Jie Huang; Rebecca Nagy; Tisha Farrell; Matthew D Ringel; Albert de la Chapelle; Richard T Kloos; Huiling He
Journal:  Thyroid       Date:  2011-12-02       Impact factor: 6.568

4.  American Association of Clinical Endocrinologists and Associazione Medici Endocrinologi medical guidelines for clinical practice for the diagnosis and management of thyroid nodules.

Authors:  Hossein Gharib; Enrico Papini; Roberto Valcavi; H Jack Baskin; Anna Crescenzi; Massimo E Dottorini; Daniel S Duick; Rinaldo Guglielmi; Carlos Robert Hamilton; Martha A Zeiger; Michele Zini
Journal:  Endocr Pract       Date:  2006 Jan-Feb       Impact factor: 3.443

5.  Using gene expression profiling to differentiate benign versus malignant thyroid tumors.

Authors:  Chiara Mazzanti; Martha A Zeiger; Nick G Costouros; Christopher Umbricht; William H Westra; Danelle Smith; Helina Somervell; Generoso Bevilacqua; H Richard Alexander; Steven K Libutti; Nick Costourous
Journal:  Cancer Res       Date:  2004-04-15       Impact factor: 12.701

Review 6.  Molecular fine-needle aspiration biopsy diagnosis of thyroid nodules by tumor specific mutations and gene expression patterns.

Authors:  Markus Eszlinger; Ralf Paschke
Journal:  Mol Cell Endocrinol       Date:  2010-01-18       Impact factor: 4.102

7.  Specific microRNAs are downregulated in human thyroid anaplastic carcinomas.

Authors:  R Visone; P Pallante; A Vecchione; R Cirombella; M Ferracin; A Ferraro; S Volinia; S Coluzzi; V Leone; E Borbone; C-G Liu; F Petrocca; G Troncone; G A Calin; A Scarpa; C Colato; G Tallini; M Santoro; C M Croce; A Fusco
Journal:  Oncogene       Date:  2007-06-11       Impact factor: 9.867

8.  Distinctive microRNA expression signatures in proton-irradiated mice.

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Journal:  Mol Cell Biochem       Date:  2013-07-02       Impact factor: 3.396

9.  MicroRNA-222 and microRNA-146b are tissue and circulating biomarkers of recurrent papillary thyroid cancer.

Authors:  James C Lee; Jing Ting Zhao; Roderick J Clifton-Bligh; Anthony Gill; Justin S Gundara; Julian C Ip; Anthony Glover; Mark S Sywak; Leigh W Delbridge; Bruce G Robinson; Stanley B Sidhu
Journal:  Cancer       Date:  2013-10-28       Impact factor: 6.860

10.  QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.

Authors:  Penny F Whiting; Anne W S Rutjes; Marie E Westwood; Susan Mallett; Jonathan J Deeks; Johannes B Reitsma; Mariska M G Leeflang; Jonathan A C Sterne; Patrick M M Bossuyt
Journal:  Ann Intern Med       Date:  2011-10-18       Impact factor: 25.391

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Review 1.  Circulating MicroRNA as Potential Source for Neurodegenerative Diseases Biomarkers.

Authors:  Ying Zi; Zhongmin Yin; Weizhong Xiao; Xinwei Liu; Zhixiang Gao; Li Jiao; Lianfu Deng
Journal:  Mol Neurobiol       Date:  2014-11-04       Impact factor: 5.590

2.  Plasma exosomal miR-21 and miR-181a differentiates follicular from papillary thyroid cancer.

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Review 4.  Current methodologies for molecular screening of thyroid nodules.

Authors:  Elisabetta Macerola; Fulvio Basolo
Journal:  Gland Surg       Date:  2018-08

Review 5.  Molecular Characterization of Thyroid Follicular Lesions in the Era of "Next-Generation" Techniques.

Authors:  Esther Diana Rossi; Pietro Locantore; Carmine Bruno; Marco Dell'Aquila; Pietro Tralongo; Mariangela Curatolo; Luca Revelli; Marco Raffaelli; Luigi Maria Larocca; Liron Pantanowitz; Alfredo Pontecorvi
Journal:  Front Endocrinol (Lausanne)       Date:  2022-05-12       Impact factor: 6.055

6.  MicroRNA-17 family as novel biomarkers for cancer diagnosis: a meta-analysis based on 19 articles.

Authors:  Ronghe Gu; Shiqing Huang; Weiguo Huang; Yuming Li; Huijiang Liu; Lijing Yang; Zhonggui Huang
Journal:  Tumour Biol       Date:  2015-12-02

7.  The evaluation of miRNAs on thyroid FNAC: the promising role of miR-375 in follicular neoplasms.

Authors:  Esther Diana Rossi; Tommaso Bizzarro; Maurizio Martini; Sara Capodimonti; Diletta Sarti; Tonia Cenci; Mirna Bilotta; Guido Fadda; Luigi Maria Larocca
Journal:  Endocrine       Date:  2016-01-27       Impact factor: 3.633

8.  New global analysis of the microRNA transcriptome of primary tumors and lymph node metastases of papillary thyroid cancer.

Authors:  Manuel Saiselet; David Gacquer; Alex Spinette; Ligia Craciun; Myriam Decaussin-Petrucci; Guy Andry; Vincent Detours; Carine Maenhaut
Journal:  BMC Genomics       Date:  2015-10-21       Impact factor: 3.969

Review 9.  miRNA expression and function in thyroid carcinomas: a comparative and critical analysis and a model for other cancers.

Authors:  Manuel Saiselet; Jaime M Pita; Alice Augenlicht; Geneviève Dom; Maxime Tarabichi; Danai Fimereli; Jacques E Dumont; Vincent Detours; Carine Maenhaut
Journal:  Oncotarget       Date:  2016-08-09

10.  MiR-324-5p assists ultrasonography in predicting lymph node metastasis of unifocal papillary thyroid microcarcinoma without extracapsular spread.

Authors:  Yanhua Yang; Shujun Xia; Xiaofeng Ni; Zhongxin Ni; Lu Zhang; Wenhan Wang; Yanjun Kong; Yan Wang; Lei Ye; Weiwei Zhan
Journal:  Oncotarget       Date:  2017-07-31
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