Relapse Prediction Method for patient with breast cancer Using immune response differential gene expression Model

摘要

The present invention relates to a method for predicting recurrence in breast cancer patients using an immunogene differential expression model. According to the present invention, the steps of collecting biopsy tissue from a breast cancer patient as a subject, obtaining information on a plurality of differentially expressed genes and expression levels from the biopsy tissue using an RNA extraction kit, and the plurality of differentially expressed genes And predicting the likelihood of recurrence of the subject by applying the expression level information for the pre-trained immunogene differential expression model. As described above, according to the present invention, the recurrence prediction method for breast cancer patients extracts genes differentially expressed among immune-related genes in breast cancer, and can predict recurrence from data with a small number of samples through the extracted differentially expressed genes. Immune gene differential expression models can be constructed. Therefore, it is possible to predict the recurrence of breast cancer patients with high accuracy at low cost.