Diagnostic and prognostic value of circRNAs expression in head and neck squamous cell carcinoma: A meta‐analysis

Autor: Huajun Feng, Dingting Wang, Jinping Liu, Longfei Zou, Shengen Xu, Zhuoping Liang, Gang Qin
Rok vydání: 2022
Předmět:
Zdroj: Journal of Clinical Laboratory Analysis. 36
ISSN: 1098-2825
0887-8013
DOI: 10.1002/jcla.24496
Popis: Circular RNAs (circRNAs) have been found to have potential biological applications against tumors in humans. This study aimed to evaluate the diagnostic, prognostic, and clinicopathological value of circRNAs in head and neck squamous cell carcinoma (HNSCC).The PubMed, Web of Science, EMBASE, and the Cochrane Library were comprehensively searched for the relevant studies before October 20, 2021. Statistical analysis was performed based on STATA 15.0, Meta-DiSc 1.4, and RevMan 5.3 software.A total of 55 reports regarding 56 kinds of circRNA were studied in this meta-analysis, including 23, 38, and 26 articles on diagnosis, prognosis, and clinicopathological features, respectively. The pooled sensitivity, specificity, and area under the curve (AUC) of the summary receiver-operating characteristic curve (SROC) were 0.78, 0.84, and 0.87, respectively. Besides, the upregulation of oncogenic circRNAs was significantly associated with poorer overall survival (OS) (HR=2.25, p 0.05) and disease-free interval (DFS) (HR=1.92, p 0.05). In contrast, the elevated expression of tumor suppressor circRNAs was associated with a favorable prognosis (HR=0.50, p 0.05). In addition, the high expression of oncogenic circRNAs was associated with the tumor size (OR=3.59, p 0.05), degree of differentiation (OR=1.89, p 0.05), TNM stage (OR=2.35, p 0.05), lymph node metastasis (OR=1.85, p 0.05), and distant metastasis (OR=3.42, p 0.05). Moreover, the expression of tumor suppressor circRNAs was associated with improved clinicopathological features (lymph node metastasis: OR=0.25, p 0.05).CircRNAs could serve as potential predictive indicators and be useful for the diagnosis, prognosis, and identification of clinicopathological features in HNSCC.
Databáze: OpenAIRE
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