ArticleTranslational cancer research2024
Construction of a prognostic survival model with tumor immune-related genes for breast cancer.
Article in Translational cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Reprogramming the breast tumor immune microenvironment: cold-to-hot transition for enhanced immunotherapy.Journal of experimental & clinical cancer research : CR · 2025Review
- Enhancing prognostic accuracy in invasive breast cancer by combining contrast-enhanced ultrasound and clinical data: a multicenter retrospective study.Translational cancer research · 2025Article
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Authors and funding
8 authors.
Funding
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Abstract
Background: Numerous studies have demonstrated that immune cell infiltration is a significant predictor in the prognosis of those with breast cancer. This study aimed to develop a prognostic model for undifferentiated breast cancer using immune-related markers. Methods: Differentially expressed genes (DEGs) and prognostic factors were identified from The Cancer Genome Atlas (TCGA) database. Cancer immune-associated genes were filtered using the GeneCards database. Least absolute shrinkage and selection operator (LASSO) and Cox proportional hazards regression were employed to select prognostic indicators. The single-sample gene set enrichment analysis (ssGSEA) algorithm and the CIBERSORT algorithm were used to analyze the correlation of prognostic indicators with immune cells in breast cancer. Results: We identified six tumor immune-related genes, including zic family member 2 ( Conclusions: Our study established a six-gene model for predicting breast cancer prognosis. Furthermore, we unexpectedly discovered that
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