ROC curve analysis showed that PVT1, NEAT1, HOTAIR, PAI-1, and OPN can significantly differentiate between breast cancer and controls, showing an area under the curve (AUC) of 0.67 (95% CI 0.55 to 0.79, cut off > 1.2, p < 0.05) for PVT1, an AUC of 0.65 (95% CI 0.53 to 0.77, cut off >1.1, p < 0.05) for HOTAIR, an AUC of 0.83 (95% CI 0.73 to 0.93, cut off < 0.87, p < 0.001) for NEAT1, an AUC of 0.98 (95% CI 0.94 to 1.01, cut off > 10.8, p < 0.0001) for PAI-1, and an AUC of 0.86 (95% CI 0.78 to 0.94, cut off > 30.71, p < 0.0001) for OPN. Here, SPP1 is linked to breast cancer.