title: Discovery of potential prognostic long non-coding RNA biomarkers for predicting the risk of tumor recurrence of breast cancer patients.
abstract: Deregulation of long non-coding RNAs (lncRNAs) expression has been proven to be involved in the development and progression of cancer. However, expression pattern and prognostic value of lncRNAs in breast cancer recurrence remain unclear. Here, we analyzed lncRNA expression profiles of breast cancer patients who did or did not develop recurrence by repurposing existing microarray datasets from the Gene Expression Omnibus database, and identified 12 differentially expressed lncRNAs that were closely associated with tumor recurrence of breast cancer patients. We constructed a lncRNA-focus molecular signature by the risk scoring method based on the expression levels of 12 relapse-related lncRNAs from the discovery cohort, which classified patients into high-risk and low-risk groups with significantly different recurrence-free survival (HR = 2.72, 95% confidence interval 2.07-3.57; p = 4.8e-13). The 12-lncRNA signature also represented similar prognostic value in two out of three independent validation cohorts. Furthermore, the prognostic power of the 12-lncRNA signature was independent of known clinical prognostic factors in at least two cohorts. Functional analysis suggested that the predicted relapse-related lncRNAs may be involved in known breast cancer-related biological processes and pathways. Our results highlighted the potential of lncRNAs as novel candidate biomarkers to identify breast cancer patients at high risk of tumor recurrence.
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
authors: Meng
authors: M
authors: Zhou
authors: Department of General Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin 150086, PR China.
authors: Lei
authors: L
authors: Zhong
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
authors: Wanying
authors: W
authors: Xu
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
authors: Yifan
authors: Y
authors: Sun
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
authors: Zhaoyue
authors: Z
authors: Zhang
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
authors: Hengqiang
authors: H
authors: Zhao
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
authors: Lei
authors: L
authors: Yang
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
authors: Jie
authors: J
authors: Sun
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics; D001943:Breast Neoplasms / Q000235:genetics*; D015331:Cohort Studies; D018572:Disease-Free Survival; D005260:Female; D006801:Humans; D053208:Kaplan-Meier Estimate; D015999:Multivariate Analysis; D009364:Neoplasm Recurrence, Local / Q000235:genetics*; D011379:Prognosis; D016016:Proportional Hazards Models; D062085:RNA, Long Noncoding / Q000235:genetics*; D012334:RNA, Neoplasm / Q000235:genetics; D012307:Risk Factors; D059467:Transcriptome
chemical_list: D014408:Biomarkers, Tumor; D062085:RNA, Long Noncoding; D012334:RNA, Neoplasm