A New Polyamine Metabolism-related Gene Signature Predicts Breast Cancer Prognosis

Ruiqi Liu; Xiaoqian Huang; Xiaozhou Chen

doi:10.54097/3rt49z65

Authors

Ruiqi Liu
Xiaoqian Huang
Xiaozhou Chen

DOI:

https://doi.org/10.54097/3rt49z65

Keywords:

Polyamine Metabolism, Breast Cancer, Tumor Microenvironment, Prognosis

Abstract

Polyamine metabolism is involved in several cellular processes in organisms and is closely associated with tumorigenesis, progression, and metastasis. In this study, using breast cancer data from The Cancer Genome Atlas (TCGA) database as well as polyamine metabolism-related genes obtained from previous studies, key genes were screened using LASSO regression, and a prognostic label was created, which was validated using an independent cohort, Metabric. The breast cancer cohort of this prognostic label TCGA was divided into high-risk and low-risk groups, and the prognosis of high-risk and low-risk groups was significantly different. The biological indicators of high-risk and low-risk groups were significantly different, and the prediction results of this model were validated in the Metabric cohort. Our model can effectively predict the prognosis of breast cancer patients based on the characteristics of polyamine metabolism-related genes, which are also related to immune cell infiltration and immunotherapy response, and have some potential for clinical application.

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