Diagnostic value of RNA for hepatocellular carcinoma: a network meta-analysis

Author:

Han Zhuo12,Li Keming12,Wu Jinyu12,Wang Keyan23,Qiu Cuipeng2,Ye Hua12,Cui Chi23,Song Chunhua12ORCID,Wang Kaijuan12,Shi Jianxiang23,Wang Peng12ORCID,Zhang Jianying123

Affiliation:

1. College of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, 450001, China

2. Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, 450052, Henan Province, PR China

3. Henan Institute of Medical & Pharmaceutical Sciences, Zhengzhou University, 40 Daxue Road, Zhengzhou, 450052, China

Abstract

Aim: The aim of this study was to evaluate the capacity of RNA in the diagnosis of hepatocellular carcinoma (HCC). Methods: A systematic review was conducted from PubMed, Cochrane Library, EMBASE and Web of Science databases via well-designed retrieval strategy. Subsequently, the network meta-analysis was performed by the STATA software. Results: Through statistical analysis, the three hypotheses of the network meta-analysis were established. In view of these hypotheses, the diagnostic efficacy of the three markers in HCC (HCC vs healthy people) may be consistent, and the cumulative ranking results showed such a trend: circular RNA >long noncoding RNA >microRNA. Conclusion: Circular RNA may be most effective for diagnosing HCC across the three types of RNA.

Funder

The Major Project of Science and Technology in Henan Province

The National Science and Technology Major Project of China

Zhengzhou Major Project for Collaborative Innovation

Publisher

Future Medicine Ltd

Subject

Biochemistry (medical),Clinical Biochemistry,Drug Discovery

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