ABSTRACT
Background: DNA methylation status is strongly associated with the prognosis of breast invasive carcinoma (BRCA). Elucidating the mechanisms underlying DNA methylation coupled with determining its biological function is imperative to the effective development of treatment and prevention strategies for breast cancer. Methods: We retrieved transcriptome and DNA methylation profiles of BRCA patients from The Cancer Genome Atlas (TCGA) database, then applied the "limma" package in R software to identify differentially expressed genes (DEGs) and aberrantly methylated genes. Next, we used the "MethylMix" package to screen for methylation-driven genes, and performed univariate and multivariate Cox regression analyses to determine the prognostic value of the methylation-driven genes and clinical characteristics. We validated these findings in 51 breast cancer tissues alongside 51 corresponding normal tissues. Furthermore, we used cell experiments to clarify the biological function and underlying molecular mechanisms of HOTAIRM1 in vitro. Results: A total of 25 methylation-driven genes were identified in the dataset. Results from univariate and multivariate Cox regression showed that SYN2, HOTAIRM1, BCAS1, and ALDOC were significantly associated with patient prognosis. Immunohistochemistry and quantitative real-time polymerase chain reaction (qRT-PCR) results showed that the expression levels of SYN2 and HOTAIRM1 were negatively correlated with BRCA stage, whereas those of BCAS1 and ALDOC were positively correlated with BRCA stage. Results from in vitro experiments showed that knockdown HOTAIRM1 expression promoted breast cancer cells proliferation, clone formation, and invasion. Up-regulation of HOTAIRM1 inhibited breast cancer cells proliferation, clone formation, and invasion. Conclusions: In summary, low HOTAIRM1 expression is a significant prognostic factor for the survival of BRCA patients and thus could be a potential therapeutic target for the treatment of BRCA.
ABSTRACT
BACKGROUND: This study aims to reveal early breast cancer (BC) specific competing endogenous RNA (ceRNA) network through the expression profiles of microRNAs (miRNAs), long non-coding RNAs (lncRNAs) and mRNAs. METHODS: Based on The Cancer Genome Atlas (TCGA), we obtained the differentially expressed mRNAs, miRNAs, and lncRNAs (DEmRNAs, DEmiRNAs and DElncRNAs) between early BC and normal samples. The lncRNA-miRNA-mRNA interaction network was constructed using Cytoscape. Functional enrichment were performed using GeneCoDis3. The expression of selected genes were validated by qRT-PCR. Based on the published dataset, we validated the result of TCGA integration analysis. The diagnostic and prognostic value of candidate genes was evaluated by ROC curve analysis and survival analysis, respectively. RESULTS: Totally, 1207 DEmRNAs, 194 DElncRNAs and 37 DEmiRNAs were obtained. Functional enrichment analysis results showed that all of DEmRNAs were enriched in pathway of cytokine-cytokine receptor interaction, PPAR signaling pathway and pathways in cancer. The DEmRNA-DEmiRNA-DElncRNA interaction network in early BC was consisted of 23 DEmiRNAs, 95 DElncRNAs and 309 DEmRNAs. Among ceRNA network, IL-6-hsa-miR-182-5p-ADAMTS9-AS1 interactions, LIFR-hsa-miR-21-5p-ADAMTS9-AS1 interactions and MMP1/MMP11-hsa-miR-145-5p-CDKN2B-AS1 interactions were speculated to involve in the development of early BC. The qRT-PCR results were consistent with our integrated analysis. Except for ADAMTS9-AS1 and CDKN2B-AS1, expression of the others results in the Gene Expression Omnibus (GEO) dataset were generally consistent with TCGA integrated analysis. The area under curve (AUC) of the ADAMTS9-AS1, CDKN2B-AS1, IL-6, MMP11, hsa-miR-145-5p and hsa-miR-182-5p were 0.947, 0.862, 0.842, 0.993, 0.960 and 0.944, and the specificity and sensitivity of the 6 biomarkers were 83.4% and 95.6%, 72.2% and 90.3%, 80.1% and 74.3%, 96.2% and 96.5%, 90.1% and 92.3%, and 88.7% and 90.4%, respectively. In addition, IL-6 had potential prognostic value for early BC. CONCLUSION: These findings may provide novel insights into the lncRNA-miRNA-mRNA network and uncover potential therapeutic targets in early BC.
Subject(s)
Biomarkers, Tumor , Breast Neoplasms/diagnosis , Breast Neoplasms/genetics , MicroRNAs/genetics , RNA, Messenger/genetics , Adult , Aged , Breast Neoplasms/mortality , Computational Biology/methods , Disease Susceptibility , Female , Gene Expression Profiling , Humans , Kaplan-Meier Estimate , Male , Middle Aged , Molecular Sequence Annotation , Neoplasm Staging , Prognosis , RNA, Long Noncoding/genetics , ROC Curve , TranscriptomeABSTRACT
Primary rapidly progressive malignant tumor on breast is a very rare disease. We report a 62-year-old postmenopausal patient with history of one year breast lump and progressive increase in a period of two months. The giant breast tumor with a rare size about 7.5 × 7.0 cm, the skin of the breast to become resembling orange peel and metastasis to multiple organs. The histological sections of core needle biopsy confirmed the diagnosis of invasive adenocarcinoma. Hence, reduction surgery for local skin in the treatment of breast cancer increased the effectiveness of the docetaxel epirubicin (TE: docetaxel 75 mg/m(2), day 1; epirubicin 75 mg/m(2), day 1) chemotherapy by improving the patient's general condition, and not continue to increase was observed during follow-up.
