This article has been corrected. Correction in: Oncotarget. 2017; 8:100957.

Prognostic and diagnostic significance of lncRNAs expression in cervical cancer: a systematic review and meta-analysis

Shuqi Chi, Lina Shen, Teng Hua, Shuangge Liu, Guobing Zhuang, Xiaoxiao Wang, Xing Zhou, Guozhen Wang and Hongbo Wang _

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Oncotarget. 2017; 8:79061-79072. https://doi.org/10.18632/oncotarget.18323

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Shuqi Chi1,*, Lina Shen1,*, Teng Hua1,*, Shuangge Liu1, Guobing Zhuang1, Xiaoxiao Wang1, Xing Zhou1, Guozhen Wang1 and Hongbo Wang1

1 Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China

* These authors have contributed equally to this work

Correspondence to:

Hongbo Wang, email:

Keywords: cervical cancer, long noncoding RNA, prognosis, diagnosis, meta-analysis

Received: February 14, 2017 Accepted: April 17, 2017 Published: May 31, 2017


Long noncoding RNAs (lncRNAs) have been reported to be abnormally expressed in cervical cancer (CC) and presumably serve as diagnostic or prognostic markers. We thus performed a systematic review and meta-analysis to evaluate the clinical values of dysregulated lncRNAs in CC. A literature search was performed using the electronic databases PubMed, Embase, and Web of Science. A total of 22 relevant studies were eligible, including 21 on clinicopathological features, 18 on prognosis, and 4 on diagnosis. For clinicopathological features, HOTAIR expression was positively associated with tumor size (odds ratio [OR]=2.19, 95% confidence interval [CI] 1.42-3.38, P=0.000) and lymph node metastasis (OR=6.04, 95% CI 3.51-10.42, P=0.000). For the prognostic values, up-regulated HOTAIR had an unfavorable impact on overall survival ([OS]; hazard ratio [HR]=1.94, 95%CI 1.17-3.22, P=0.011) and disease-free survival (HR=2.61, 95%CI 1.35-5.05, P=0.004), and high PVT1 expression was correlated with shorter OS (HR=1.66, 95%CI 1.21-2.29, P=0.002). For the diagnostic values, the pooled result showed an area under the curve (AUC) of 0.85, with 85% sensitivity and 81% specificity in discriminating patients with CC from healthy controls. Overall, we conclude that lncRNAs might serve as promising indicators for prognostic and diagnostic evaluation of patients with CC.

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