ArticleBreast cancer research and treatment2024
Evaluation of markers of immunity in different metastatic immune microenvironments suggests more suppression within breast to liver metastases in breast cancer.
Article in Breast cancer research and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- Integrative plasma-to-spatial proteomics reveals fibroblast-associated signatures in liver metastatic breast cancer.Cancer cell international · 2026Article
- Harnessing pyroptosis in breast cancer therapy: immunological mechanisms and emerging biomaterial strategies.Cell death discovery · 2026Review
- Clinical and histopathological characterization of metastatic lobular breast cancer: lessons learned from post-mortem tissue donation programs.NPJ breast cancer · 2026Article
- Regulatory T cells in liver metastases: emerging and divergent roles in tumour progression.eGastroenterology · 2025Review
- Longitudinal Monitoring of T cell Dynamics in Metastatic Breast Cancer via a Remote Diagnostic Implant.Immunomedicine · 2024Article
- The role of HGH1 in breast cancer prognosis: a study on immune response and cell cycle.BMC cancer · 2024Article
Corrections and comments
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Authors and funding
17 authors at 5 institutions in 2 countries.
Funding
Abstract
purposeProgrammed death receptor ligand-1 (PD-L1) expression and tumor mutational burden (TMB) are approved screening biomarkers for immune checkpoint inhibition (ICI) in advanced triple negative breast cancer. We examined these biomarkers along with characterization of the tumor microenvironment (TME) between breast tumors (BrTs), axillary metastases (AxMs), liver metastases (LvMs), non-axillary lymph node metastases, and non-liver metastases to determine differences related to site of metastatic disease.
methods3076 unpaired biopsies from breast cancer patients were analyzed using whole transcriptome sequencing and NextGen DNA depicting TMB within tumor sites. The PD-L1 positivity was determined with VENTANA PD-L1 (SP142) assay. The immune cell fraction within the TME was calculated by QuantiSeq and MCP-counter.
resultsCompared to BrT, more LvM samples had a high TMB (≥ 10 mutations/Mb) and fewer LvM samples had PD-L1
conclusionsLvMs are less likely to express PD-L1
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Registered trials
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