The predictive value of circular RNAs in the diagnosis, prognosis and clinicopathological features of thyroid cancer: A systematic review and meta-analysis.


Journal

Pathology, research and practice
ISSN: 1618-0631
Titre abrégé: Pathol Res Pract
Pays: Germany
ID NLM: 7806109

Informations de publication

Date de publication:
Aug 2022
Historique:
received: 03 12 2021
revised: 16 03 2022
accepted: 30 03 2022
pubmed: 8 7 2022
medline: 5 8 2022
entrez: 7 7 2022
Statut: ppublish

Résumé

An increasing number of studies have reported circular RNAs (circRNAs) as new potential diagnostic and prognostic biomarkers for thyroid cancer. However, the overall predictive value of circRNAs for thyroid cancer remains unclear. Therefore, we performed a comprehensive meta-analysis to investigate the predictive value of circRNAs in the diagnosis, prognosis and clinicopathological features of thyroid cancer (TC). PubMed, Embase, Cochrane library and Web of science were searched systematically. The search time limit was from the establishment of the database to October 2021. We used the subject words combined with free words for the search. Furthermore, we used Review Manager 5.3 and Meta-Disc1.4 for relevant data analysis, and Stata 13.1 for sensitivity analysis and publication bias test. The combined sensitivity and specificity were used to evaluate the diagnostic value of circRNAs. The hazard ratio (HR) and its 95% confidence interval (95%CI) were used for statistical analysis of the prognosis of TC. The clinical characteristics were analyzed with Odds Ratio (OR) and its 95% CI. P = 0.05 for all analysis, Q test and I A total of 26 eligible studies including 18 on clinicopathological studies, 7 on prognostic and 6 diagnostic studies were enrolled in our meta-analysis. A total of 1911 patients with TC were included. For the clinicopathological and prognostic value, the results showed that a high expression of circRNAs was correlated with poor clinical parameters, such as the tumor size [OR = 2.79, 95%CI (1.88, 4.13)], extra-glandular metastasis (ETE) [OR = 0.74, 95%CI (0.45, 1.53),P = 0.24], TNM staging [OR = 3.82, 95%CI (2.86, 5.10)], lymph node metastasis (LNM) [OR = 3.88, 95% (2.90, 5.19)], tumor focality [OR = 31.87, 95%CI (1.05, 3.31)] and poor overall survival (OS)[ HR = 1.97, 95%CI (1.37, 2.83)]. For the diagnostic value, the sensitivity, specificity and Area Under Curve (AUC) of the combined group were 0.83 [95%CI (0.77-0.87)], 0.77 [95%CI (0.71-0.82)] and 0.91 respectively. CONCLUSIONS:: CircRNAs have a potential diagnostic value for TC. Meanwhile, an elevated expression of circRNAs has been linked to a poor OS in TC patients, and it also associates with poor prognosis of thyroid cancer patients. The expression of circRNAs is also correlated with certain clinical characteristics, suggesting that it may have important clinical significance.

Identifiants

pubmed: 35797852
pii: S0344-0338(22)00114-5
doi: 10.1016/j.prp.2022.153871
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
RNA, Circular 0

Types de publication

Journal Article Meta-Analysis Review Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

153871

Informations de copyright

Copyright © 2022 Elsevier GmbH. All rights reserved.

Auteurs

Chunyue Zhu (C)

Department of Thyroid and Breast Surgery, Hebei General Hospital Affiliated to North China University of Science and Technology, Shijiazhuang 050051, Hebei Province, China. Electronic address: zcy19970212@163.com.

Zheming Feng (Z)

Department of Thyroid and Breast Surgery, Hebei General Hospital Affiliated to Hebei Medicine University, Shijiazhuang 050051, Hebei Province, China. Electronic address: 1289403895@qq.com.

Fangcheng Hong (F)

Department of Thyroid and Breast Surgery, Hebei General Hospital Affiliated to Hebei North University, Shijiazhuang 050051, Hebei Province, China. Electronic address: 1119440051@qq.com.

Hanxiao Sun (H)

Baoding First Central Hospital, Baoding 071000, China. Electronic address: shx1833010@163.com.

Zhiruo Wang (Z)

Department of Thyroid and Breast Surgery, Hebei General Hospital Affiliated to Hebei Medicine University, Shijiazhuang 050051, Hebei Province, China. Electronic address: 15232237063@163.com.

Zhen Zhao (Z)

The Forth hospital of Hebei Medical University, Shijiazhuang 050011, China. Electronic address: weizhao5181@sina.com.

Fenghua Zhang (F)

Department of Thyroid and Breast Surgery, Hebei General Hospital. No.348 Peace West Road, Shijiazhuang 050051, Hebei Province, China. Electronic address: z139338@126.com.

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Classifications MeSH