ArticleTranslational cancer research2026
Identification and validation of a novel estrogen-related model for breast cancer to predict the prognosis.
Article in Translational cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Tight junction-related proteins in the upper reproductive tract luminal and glandular epithelial cells are regionally regulated across the estrous cycle.Frontiers in endocrinology · 2026Article
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5 authors.
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Abstract
Background: Breast cancer (BRCA) is a common malignant tumor in women globally and has a poor prognosis. Molecular targeted therapy is a promising way for improving the treatment of BRCA. This study aimed to identify potential biomarkers for BRCA and construct a prognostic model. Methods: The expression, mutation and survival data were obtained from The Cancer Genome Atlas database, and estrogen-related genes (ERGs) were extracted from a previous study. Univariate, least absolute shrinkage and selection operator (LASSO) and multivariate Cox analyses were used to determine hub genes. The risk model was evaluated by Kaplan-Meier and receiver operating characteristic (ROC) curves. Immune infiltration was analyzed by the Immuno-Oncology Biological Research package. Gene set enrichment analysis was used for the functional analysis. Results: Totally 113 estrogen-related differentially expressed genes (ERDEGs) were identified. A risk model was constructed using four hub ERDEGs: Conclusions: We identified four hub genes closely related to the prognosis of BRCA, and a risk model constructed by these four genes may be useful for risk stratification and prognosis evaluation in BRCA patients.
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