ArticleWorld journal of oncology2023
Development of a Machine Learning-Based Prognostic Model for Hormone Receptor-Positive Breast Cancer Using Nine-Gene Expression Signature.
Article in World journal of oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- TRIM37 Expression is Associated with Immune Suppression Poor Response to Neoadjuvant Chemotherapy and Worse Survival in ER-Positive/HER2-Negative Breast Cancer.Annals of surgical oncology · 2026Article
- Dual cutoffs of estrogen receptor positivity define prognostic and predictive subgroups in breast cancer.iScience · 2026Article
- Artificial intelligence improves risk stratification for breast cancer recurrence and mortality in women exposed to pesticides: a call for reassessment of stratification criteria.Frontiers in oncology · 2026Article
- Machine Learning Models for Predicting Gynecological Cancers: Advances, Challenges, and Future Directions.Cancers · 2025Review
- Multimodal AI in Biomedicine: Pioneering the Future of Biomaterials, Diagnostics, and Personalized Healthcare.Nanomaterials (Basel, Switzerland) · 2025Review
- Mesothelin (MSLN) is Highly Expressed in Triple Negative Breast Cancer and is Associated with Enhanced Cell Proliferation and Proinflammatory Tumor Microenvironment.Annals of surgical oncology · 2025Article
- Article
- Early Breast Cancer Risk Assessment: Integrating Histopathology with Artificial Intelligence.Cancers · 2024Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Background: Determining the prognosis of hormone receptor positive (HR Methods: A total of 2,338 HR Results: Risk classification by RPM was significantly stratified in both the discovery cohort and validation cohort. In the time-dependent area under the curve analysis, there was some variation depending on the cohort, but accuracy was found to decline significantly after about 10 years. Cell cycle related gene sets, MYC, and PI3K-AKT-mTOR signaling were enriched in high-risk tumors by the Gene Set Enrichment Analysis. High-risk tumors were associated with high levels of immune cells from the lymphoid and myeloid lineage and immune cytolytic activity, as well as low levels of stem cells and stromal cells. High-risk tumors were also associated with poor therapeutic effects of chemotherapy and endocrine therapy. Conclusions: This model was able to stratify prognosis in multiple cohorts. This is because the model reflects major BC therapeutic target pathways and tumor immune microenvironment and, further is supported by the therapeutic effect of chemotherapy and endocrine therapy.
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Registered trials
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