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Biochem Biophys Res Commun ; 470(3): 479-483, 2016 Feb 12.
Article in English | MEDLINE | ID: mdl-26820525

ABSTRACT

Breast cancer is diverse in their natural history and in their responsiveness to treatments. It is urgent to generate candidate biomarkers for the stratification of patients and personalization of therapy to avoid overtreatment or inadequate treatment. Long noncoding RNAs (lncRNAs) have been found to be pervasively transcribed in the genome and played critical roles in cancer progression. A lot of lncRNAs have been reported as potential prognostic biomarkers and therapeutic targets in multiple cancers. In this study, we demonstrated that FGF14 antisense RNA 2 (FGF14-AS2), a novel long non-coding RNA, was significantly down-regulated in breast cancer tissue compared with adjacent normal tissue both in validated cohort and TCGA cohort. Reduced expression of FGF14-AS2 was correlated with larger tumor size, more lymph node metastasis and advanced clinical stage in both cohorts. Kaplan-Meier analysis indicated that patients with lower FGF14-AS2 expression had a worse overall survival. Moreover, multivariate analysis revealed that decreased expression of FGF14-AS2 was an independent predictor of overall survival. Together, these results suggested that FGF14-AS2 involved in the progress of breast cancer and might act as a tumor suppressor gene. To the best of our knowledge, it was firstly reported that FGF14-AS2 was involved in cancer. This study provided a potential new marker and a target for gene therapy in breast cancer treatment.


Subject(s)
Biomarkers, Tumor/metabolism , Breast Neoplasms/metabolism , Breast Neoplasms/mortality , Fibroblast Growth Factors/genetics , RNA, Long Noncoding/genetics , RNA, Long Noncoding/metabolism , Aged , Aged, 80 and over , Biomarkers, Tumor/genetics , Breast Neoplasms/genetics , China/epidemiology , Down-Regulation/genetics , Female , Humans , Lymphatic Metastasis , Middle Aged , Prevalence , Prognosis , Reproducibility of Results , Risk Factors , Sensitivity and Specificity , Statistics as Topic , Survival Rate
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