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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Tian, Tian Gong, Zhouqing Wang, Meng Hao, Ruohan Lin, Shuai Liu, Kang Guan, Feng Xu, Peng Deng, Yujiao Song, Dingli Li, Na Wu, Ying Dai, Zhijun |
| Abstract | Background Triple-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. Methods Two 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. Results A 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). Conclusions Numerous 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. |
| Related Links | https://cancerci.biomedcentral.com/counter/pdf/10.1186/s12935-018-0598-8.pdf |
| Ending Page | 10 |
| Page Count | 10 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14752867 |
| DOI | 10.1186/s12935-018-0598-8 |
| Journal | Cancer Cell International |
| Issue Number | 1 |
| Volume Number | 18 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2018-07-17 |
| Access Restriction | Open |
| Subject Keyword | Cancer Research Cell Biology Triple-negative breast cancer Long non-coding RNA Bioinformatics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Cancer Research Genetics Oncology |
| Journal Impact Factor | 5.3/2023 |
| 5-Year Journal Impact Factor | 5/2023 |
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