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宇 陈 Miss Tao Lin Li jianchan fang wenhua Huang

Abstract

We developed a risk model for breast cancer (BC) based on basement membrane (BM)-related long non-coding RNAs (lncRNAs) using the Cancer Genome Atlas (TCGA) data. Eight differentially expressed BM-related lncRNAs were identified and used to create the model. The model effectively predicts 1-, 3-, and 5-year survival rates, with high-risk patients showing worse outcomes. Additionally, we assessed tumor mutation load, immune cell infiltration, and responses to treatments. This model offers valuable insights for survival prediction and therapeutic decision-making in BC patients.

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