Long non-coding RNA UCA1 is a predictive biomarker of cancer
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Han-han Hong1,*, Li-kun Hou2,*, Xin Pan3,*, Chun-yan Wu2, Hai Huang1, Bing Li1, Wei Nie1
1Department of Respiratory Medicine, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai, China
2Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
3Department of Medical Section, Zhenjiang Emergency Medical Center, Zhenjiang, Jiangsu, China
*These authors contributed equally to this work
Chun-yan Wu, email: firstname.lastname@example.org
Hai Huang, email: email@example.com
Bing Li, email: firstname.lastname@example.org
Wei Nie, email: email@example.com
Keywords: cancer, UCA1, biomarker
Received: March 22, 2016 Accepted: June 03, 2016 Published: June 17, 2016
Human urothelial carcinoma associated 1 (UCA1) is a long noncoding RNA that is putatively oncogenic in solid tumors. This meta-analysis investigated an association between UCA1 levels and survival times of cancer patients. The primary endpoints were overall survival (OS) and progression-free survival (PFS). A comprehensive, computerized literature search was conducted of the databases PubMed, EMBASE, Chinese National Knowledge Infrastructure (CNKI), and Wanfang. The strength of association between UCA1 and cancer prognosis was assessed by computing the hazard ratio (HR) with its corresponding 95% confidence interval (CI). Twelve studies comprising 954 cancer patients met the criteria for this meta-analysis. Overall, a significant negative association was found between UCA1 levels and OS time (HR1.81, 95% CI1.52−2.17), including the following cancers analyzed independently: colorectal (HR2.61, 95% CI1.56−4.37), non-small cell lung (HR1.49, 95% CI1.16−1.90), gastric (HR2.19, 95% CI1.36−3.51), and ovarian (HR1.89, 95% CI1.14−3.12). There was also a significant negative association between UCA1 levels and PFS time (HR2.59, 95% CI1.61−4.16). In conclusion, this meta-analysis indicated that higher levels of UCA1 correlate with shorter PFS and OS times in cancers.
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