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Abstract

Volume 21, Issue 6 (November 2019) 21, 618–622; 10.4103/aja.aja_118_18

Identification of seven long noncoding RNAs signature for prediction of biochemical recurrence in prostate cancer

Ning Shao1,2, Yao Zhu1,2, Fang-Ning Wan1,2, Ding-Wei Ye1,2

1 Department of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China
2 Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China

Correspondence: Dr. DW Ye (dwyeli@163.com) or Dr. FN Wan (fnwan06@fudan.edu.cn)

05-Mar-2019

Abstract

Accumulating evidence suggested that long noncoding RNAs (lncRNAs) possess a potential role in prostate cancer (PCa) diagnosis and prognosis. Rapid biochemical recurrence (BCR) is considered as a sign for clinical recurrence metastasis and PCa-specific mortality. Hence, the aim of the present study was to identify a lncRNA signature that can predict BCR of PCa accurately. Bioinformatics analysis, Kaplan–Meier analyses, Cox regression analyses, and Gene Set Enrichment Analysis (GSEA) were performed in a publicly available database with 499 PCa tissues and 52 matched normal tissues. A signature was identified. All these lncRNAs were differentially expressed between tumor and normal tissues and differentially expressed between high Gleason score and low Gleason score tissues. Furthermore, we developed a seven lncRNAs signature that can predict PCa BCR. Patients classified into low-risk group showed better BCR survival significantly than the patients in the high-risk group (hazard ratio = 0.32, 95% CI: 0.20–0.52, concordance index = 0.63). The area under the curve was 0.68 for BCR. The signature also had good discrimination for BCR in men with Gleason 7 PCa. In conclusion, our results suggest that the seven lncRNAs signature is a new biomarker of BCR and high risk in PCa. In addition, the individual lncRNA warrants further study to uncover the associated mechanisms of PCa progression and the signature could be used to design direct clinical trials for adjuvant therapy.

Keywords: biochemical recurrence; biomarker; high risk; long noncoding RNA; prostate cancer

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