ArticleInternational journal of molecular sciences2024
B7-H3 Expression in Breast Cancer and Brain Metastasis.
Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.
- Molecular and Clinicopathological Biomarkers Predicting Brain Metastasis in Triple-Negative Breast Cancer: A Systematic Review.International journal of molecular sciences · 2026Pooled it
- Prognostic Significance of B7H3 Expression in Solid Tumors: A Systematic Review and Meta-Analysis.International journal of molecular sciences · 2025Pooled it
- Development and Preclinical Evaluation ofJournal of medicinal chemistry · 2026Article
- Targeting B7-H3 in patients with metastatic triple-negative breast cancer and brain metastases: an opportunity to "revive" immunotherapy as a treatment strategy?Journal for immunotherapy of cancer · 2026Article
- Review
- Review
- An interpretable machine learning model for predicting brain metastasis in breast cancer.Frontiers in medicine · 2026Article
- The Search for Predictive Biomarkers in Response to Immune Checkpoint Inhibitors and Associated Adverse Events.Journal of personalized medicine · 2025Review
- Review
- A B7H3-targeting antibody-drug conjugate in advanced solid tumors: a phase 1/1b trial.Nature medicine · 2025Article
- High B7-H3 protein expression in Medulloblastoma is associated with metastasis and unfavorable patient outcomes.Diagnostic pathology · 2025Article
- Prognostic Biomarkers in Isocitrate Dehydrogenase Wild-Type Glioblastoma: A Focus on B7-H3.Brain sciences · 2025Article
- pH-responsive nano-vaccine combined with anti-PD-1 antibodies for enhanced immunotherapy of breast cancer.Theranostics · 2025Article
- Review
- Research progress of B7-H3 in malignant tumors.Frontiers in immunology · 2025Review
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
Abstract
Brain metastasis is a significant challenge for some breast cancer patients, marked by its aggressive nature, limited treatment options, and poor clinical outcomes. Immunotherapies have emerged as a promising avenue for brain metastasis treatment. B7-H3 (CD276) is an immune checkpoint molecule involved in T cell suppression, which is associated with poor survival in cancer patients. Given the increasing number of clinical trials using B7-H3 targeting CAR T cell therapies, we examined B7-H3 expression across breast cancer subtypes and in breast cancer brain metastases to assess its potential as an interventional target. B7-H3 expression was investigated using immunohistochemistry on tissue microarrays of three clinical cohorts: (i) unselected primary breast cancers (n = 347); (ii) brain metastatic breast cancers (n = 61) and breast cancer brain metastases (n = 80, including a subset of 53 patient-matched breast and brain metastasis cases); and (iii) mixed brain metastases from a range of primary tumours (n = 137). In primary breast cancers, B7-H3 expression significantly correlated with higher tumour grades and aggressive breast cancer subtypes, as well as poorer 5-year survival outcomes. Subcellular localisation of B7-H3 impacted breast cancer-specific survival, with cytoplasmic staining also correlating with a poorer outcome. Its expression was frequently detected in brain metastases from breast cancers, with up to 90% expressing B7-H3. However, not all brain metastases showed high levels of expression, with those from colorectal and renal tumours showing a low frequency of B7-H3 expression (0/14 and 2/16, respectively). The prevalence of B7-H3 expression in breast cancers and breast cancer brain metastases indicates potential opportunities for B7-H3 targeted therapies in breast cancer management.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.