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long non-coding RNAs play essential roles in the regulation of the gene’s expression level. The abnormal difference in the gene expression and transcriptome amount in the cells can make the various diseases in the human, including cancer. In this study, the expression of MYC and the two relevant and co-expressed lncRNAs were analyzed in the breast cancer (BC) samples as the potential BC biomarkers. An integrated bioinformatics analysis – including Microarray, RNA interaction, Pathway enrichment, and Gene ontology analyses – was performed to find novel differentially expressed genes in the BC patients. A real-time PCR experiment evaluated the expression of potential BC biomarkers found in the bioinformatics analyses. Bioinformatics and experimental analyses revealed that MINCR and JPX have a remarkable up-regulation in the BC samples and can be the two BC oncogene. Also, it is demonstrated that MYC could act as a tumor suppressor in BC patients by low-expression in the BC samples. All in all, the changes in the expression of MYC – affected by MINCR and JPX – can promote breast cancer pathogenicity. These three coding and non-coding RNAs can act as the acceptable prognostic biomarkers in BC.