Breast cancer prognosis model construction method, breast cancer prognosis model application method and electronic equipment

Abstract

The invention discloses a breast cancer prognosis model construction method and application method, electronic equipment and a storage medium. The construction method comprises the steps of acquiring transcriptome expression profile data of multiple breast cancer sample sets, wherein each breast cancer sample set comprises multiple breast cancer samples; based on the transcriptome expression profile data of each breast cancer sample set, analyzing the immune infiltration condition of each breast cancer sample in each breast cancer sample set, and determining a first immune infiltration group and a second immune infiltration group in each breast cancer sample set; determining a differential expression gene between the first immune infiltration group and the second immune infiltration group in each breast cancer sample set based on the transcriptome expression data of the first immune infiltration group and the second immune infiltration group in each breast cancer sample set; determining candidate genes based on differential expression genes between the first immune infiltration group and the second immune infiltration group in each breast cancer sample set; and constructing a risk scoring model based on the candidate genes.

Description

technical field [0001] Embodiments of the present disclosure relate to a method for constructing and applying a prognostic model of breast cancer, an electronic device, and a storage medium. Background technique [0002] Prognosis refers to the empirical prediction of disease progression. Prognosis involves three main areas, what will happen, the likelihood of an adverse outcome, and when. The purpose of researching and rating prognosis is to facilitate the understanding of the degree of harm of diseases to human beings, to explore the factors affecting prognosis, and to study specific measures to improve prognosis. Prognosis analysis is a clinical research that is very practical and instructive. [0003] Breast cancer (BRCA) is one of the most common malignancies and the second leading cause of cancer death in women worldwide. In China alone, BRCA is estimated to account for 15% of all new cancer cases in women and is the leading cause of cancer death in women under the ...

AI Technical Summary

Problems solved by technology

Although many molecular classifications have been widely used in clinical diagnosis and become important indicators to guide the selection of treatment options, most studies (including those based on estrogen receptor (ER), progesterone receptor (PR), Ki-67 and HER2 studies on the molecular types of breast cancer) all tend to focus on the characteristics of the tumor, but little research on the tumor microenvironment

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