Feng Jiang, Chuyan Wu, Ming Wang, Ke Wei and Jimei Wang* Pages 1 - 10 ( 10 )
Background: The most prevalent malignant tumor in women is breast cancer (BC). As autophagic therapies have been identified to contribute to BC cell death, the potential prognostic role of long non-coding RNA (lncRNA) related to autophagy in patients with BC was examined.
Methods: The lncRNAs expression profiles were derived from The Cancer Genome Atlas (TCGA) database. Throughout univariate Cox regression and multivariate Cox regression test, lncRNA with BC prognosis have been differentially presented. We then defined the optimal cut-off point between high and low-risk groups. The receiver operating characteristic (ROC) curves were drawn to test this signature. In order to examine possible signaling mechanisms linked to these lncRNAs, the Gene Set Enrichment Analysis (GSEA) has been carried out.
Results: Based on the lncRNA expression profiles for BC, a 9 lncRNA signature associated with autophagy was developed. The optimal cut-off value for high-risk and low-risk groups was used. The high-risk group had less survival time than the low-risk group. The result of this lncRNA signature was highly sensitive and precise. GSEA study found that the gene sets have been greatly enriched in many cancer pathways.
Conclusion: Our signature of 9 lncRNAs related to autophagy has prognostic value for BC, and these lncRNAs related to autophagy may play an important role in BC biology.
Metastasis, breast cancer, prognosis, autophagy, long non-coding RNA.
Department of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200011, Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Department of Plastic and Burn Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Medical Service Section, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Department of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200011