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Identification of long non-coding RNA signatures in triple-negative breast cancer

  • Tian, Tian1
  • Gong, Zhouqing2
  • Wang, Meng1
  • Hao, Ruohan2
  • Lin, Shuai1
  • Liu, Kang1
  • Guan, Feng3
  • Xu, Peng1
  • Deng, Yujiao1
  • Song, Dingli1
  • Li, Na1
  • Wu, Ying1
  • Dai, Zhijun1
  • 1 Second Affiliated Hospital of Xi’an Jiaotong University, Department of Oncology, Xi’an, 710004, China , Xi’an (China)
  • 2 Xi’an Jiaotong University, School of Life Science and Technology, Xi’an, 710049, China , Xi’an (China)
  • 3 Northwest University, College of Life Science and Technology, Xi’an, 710069, China , Xi’an (China)
Published Article
Cancer Cell International
Springer (Biomed Central Ltd.)
Publication Date
Jul 17, 2018
DOI: 10.1186/s12935-018-0598-8
Springer Nature


BackgroundTriple-negative breast cancer (TNBC) is a particular breast cancer subtype with poor prognosis due to its aggressive biological behavior and lack of targets for therapy. This study aimed to explore the expression profile and potential function of lncRNAs in TNBC through bioinformatic methods.MethodsTwo microarrays of TNBC were obtained from the Gene Expression Omnibus database. Differentially expressed lncRNAs and mRNAs were screened out and the expressions of top lncRNAs and overlapping lncRNAs were validated using data from The Cancer Genome Atlas database. The co-expression analysis of lncRNAs and mRNAs was conducted using R software and functional enrichment analysis for was performed by Metascape. Kaplan–Meier Plotter was used for survival analysis.ResultsA total of 1034 dysregulated lncRNAs were found in the two microarrays, and there were 8 overlapped lncRNAs. Among them, 537 lncRNAs were significantly correlated with 451 protein-coding genes (PCGs). The co-expressed PCGs were mainly enriched in terms including cell division, cell cycle, and protein/DNA binding, and were involved in pathways in cancer and other pathways such as PI3K-Akt, MAPK, ErbB and p53 signaling pathways. Hub-genes in the co-expression network were identified, and 7 of them were associated with relapse-free survival of TNBC (MAGI2-AS3: HR = 0.51; GGTA1P: HR = 0.54; NAP1L2: HR = 0.59; CRABP2: HR = 0.41; SYNPO2: HR = 0.50; MKI67: HR = 2.23; COL4A6: HR = 1.91; all P < 0.05).ConclusionsNumerous lncRNAs were dysregulated in TNBC, and many of them are possibly involved in cancer biology. Several of these lncRNAs were associated with of TNBC prognosis, which can be promising biomarkers.

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