Breast cancer prognosis evaluation method and system based on autophagy related lncRNA model

Abstract

The invention discloses a breast cancer prognosis evaluation method and system based on an autophagy related lncRNA model, and the breast cancer prognosis evaluation method based on the autophagy related lncRNA model is used for prognosis of breast cancer. The breast cancer prognosis evaluation method based on the autophagy-related lncRNA model comprises the following steps: determining autophagy-related lncRNA information according to RNA information of a plurality of breast cancer samples and RNA information of a plurality of normal breast samples; analyzing the lncRNA information related to the autophagy and the clinical data of the plurality of breast cancer samples, and establishing an lncRNA prognosis model related to the autophagy; and performing prognosis based on the autophagy-related lncRNA prognosis model. According to the breast cancer prognosis evaluation method and system based on the autophagy related lncRNA model, the prognosis of the breast cancer sample can be accurately judged.

Description

technical field [0001] The invention relates to the technical field of biomedical detection, in particular to a breast cancer prognosis assessment method and system based on an autophagy-related lncRNA model. Background technique [0002] Breast cancer is the most common malignancy in the world and the leading cause of cancer-related death in women, with an incidence and mortality rate of 24.2% and 15.0%, respectively. Current treatment options for breast cancer typically combine surgery with various adjuvant treatments, such as chemotherapy, radiation therapy, endocrine therapy, targeted therapy, and immunotherapy. Most patients respond to initial treatment over time, but some breast cancers, especially triple-negative breast cancer, develop into more aggressive forms of the tumor, leading to a poorer prognosis. [0003] In order to be able to predict the prognosis of breast cancer samples, the prior art usually focuses on the mechanism and clinical value of a single bioma...

AI Technical Summary

Problems solved by technology

Most patients respond to initial treatment over time, but some breast cancers, especially triple-negative breast cancer, develop into more aggressive forms of the tumor, leading to a poorer prognosis

[0003] In order to be able to predict the prognosis of breast cancer samples, the prior art usually focuses on the mechanism and clinical value of a single biomarker in breast cancer. The inventors found that breast cancer has strong heterogeneity, and the existing methods based on The breast cancer prognosis assessment method based on the phagocytosis-associated lncRNA model is not accurate enough for the prognosis of breast cancer samples, and there will be large deviations

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