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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Lv, Xuemei He, Miao Zhao, Yanyun Zhang, Liwen Zhu, Wenjing Jiang, Longyang Yan, Yuanyuan Fan, Yue Zhao, Hongliang Zhou, Shuqi Ma, Heyao Sun, Yezhi Li, Xiang Xu, Hong Wei, Minjie |
| Abstract | Background Triple negative breast cancer (TNBC) is a specific subtype of breast cancer with a poor prognosis due to its aggressive biological behaviour and lack of therapeutic targets. We aimed to explore some novel genes and pathways related to TNBC prognosis through bioinformatics methods as well as potential initiation and progression mechanisms. Methods Breast cancer mRNA data were obtained from The Cancer Genome Atlas database (TCGA). Differential expression analysis of cancer and adjacent cancer, as well as, triple negative breast cancer and non-triple negative breast cancer were performed using R software. The key genes related to the pathogenesis were identified by functional and pathway enrichment analysis and protein–protein interaction network analysis. Based on univariate and multivariate Cox proportional hazards model analyses, a gene signature was established to predict overall survival. Receiver operating characteristic curve was used to evaluate the prognostic performance of our model. Results Based on mRNA expression profiling of breast cancer patients from the TCGA database, 755 differentially expressed overlapping mRNAs were detected between TNBC/non-TNBC samples and normal tissue. We found eight hub genes associated with the cell cycle pathway highly expressed in TNBC. Additionally, a novel six-gene (TMEM252, PRB2, SMCO1, IVL, SMR3B and COL9A3) signature from the 755 differentially expressed mRNAs was constructed and significantly associated with prognosis as an independent prognostic signature. TNBC patients with high-risk scores based on the expression of the 6-mRNAs had significantly shorter survival times compared to patients with low-risk scores (P < 0.0001). Conclusions The eight hub genes we identified might be tightly correlated with TNBC pathogenesis. The 6-mRNA signature established might act as an independent biomarker with a potentially good performance in predicting overall survival. |
| Related Links | https://cancerci.biomedcentral.com/counter/pdf/10.1186/s12935-019-0884-0.pdf |
| Ending Page | 12 |
| Page Count | 12 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14752867 |
| DOI | 10.1186/s12935-019-0884-0 |
| Journal | Cancer Cell International |
| Issue Number | 1 |
| Volume Number | 19 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2019-06-28 |
| Access Restriction | Open |
| Subject Keyword | Cancer Research Cell Biology Triple-negative breast cancer Differentially expressed genes Prognostic Survival mRNA-signature Pathogenesis |
| 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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