Research Papers:

Expression profiles analysis of long non-coding RNAs identified novel lncRNA biomarkers with predictive value in outcome of cutaneous melanoma

Xu Ma, Zhijuan He, Ling Li, Daping Yang and Guofeng Liu _

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Oncotarget. 2017; 8:77761-77770. https://doi.org/10.18632/oncotarget.20780

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Xu Ma1, Zhijuan He2, Ling Li3, Daping Yang1 and Guofeng Liu1

1Department of Plastic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China

2Department of Obstetrics and Gynecology, The First Affiliated Hospital of Harbin Medical University, Harbin 150010, China

3Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China

Correspondence to:

Guofeng Liu, email: [email protected]

Keywords: cutaneous melanoma, long non-coding RNA, overall survival, prognosis

Received: June 27, 2017    Accepted: July 30, 2017    Published: September 08, 2017


Recent advancements in cancer biology have identified a large number of lncRNAs that are dysregulated expression in the development and tumorigenesis of cancers, highlighting the importance of lncRNAs as a key player for human cancers. However, the prognostic value of lncRNAs still remains unclear and needs to be further investigated. In the present study, we aim to assess the prognostic value of lncRNAs in cutaneous melanoma by integrated lncRNA expression profiles from TCGA database and matched clinical information from a large cohort of patients with cutaneous melanoma. We finally identified a set of six lncRNAs that are significantly associated with survival of patients with cutaneous melanoma. A linear combination of six lncRNAs (LINC01260, HCP5, PIGBOS1, RP11-247L20.4, CTA-292E10.6 and CTB-113P19.5) was constructed as a six-lncRNA signature which classified patients of training cohort into the high-risk group and low-risk group with significantly different survival time. The prognostic value of the six-lncRNA signature was validated in both the validation cohort and entire TCGA cohort. Moreover, the six-lncRNA signature is independent of known clinic-pathological factors by multivariate Cox regression analysis and demonstrated good performance for predicting three- and five-year overall survival by time-dependent receiver operating characteristic (ROC) analysis. Our study provides novel insights into the molecular heterogeneity of cutaneous melanoma and also shows potentially important implications of lncRNAs for prognosis and therapy for cutaneous melanoma.

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