Three inflammation‐related genes could predict risk in prognosis and metastasis of patients with breast cancer

Background Current predictive model is not developed by inflammation‐related genes to evaluate clinical outcome of breast cancer patients. Methods With mRNA expression profiling, we identified 3 mRNAs with significant expression between 15 normal samples and 669 breast cancer patients. Using 7 cell lines and 150 paraffin‐embedded specimens, we verified the expression pattern by bio‐experiments. Then, we constructed a three‐mRNA model by Cox regression method and approved its predictive accuracy in both training set (n = 1095) and 4 testing sets (n = 703). Results We developed a three‐mRNA (TBX21, TGIF2, and CYCS) model to stratify patients into high‐ and low‐risk subgroup with significantly different prognosis. In training set, 5‐year OS rate was 84.5% (78.8%‐90.5%) vs 73.1% (65.9%‐81.2%) for the low‐ and high‐risk group (HR = 1.573 (1.090‐2.271); P = 0.016). The predictive value was similar in four independent testing sets (HR>1.600; P