Triple-Negative Breast Cancer with High Levels of Annexin A1 Expression Is Associated with Mast Cell Infiltration, Inflammation, and Angiogenesis.
Maiko OkanoMasanori OshiAli Linsk ButashEriko KatsutaKazunoshin TachibanaKatsuharu SaitoHirokazu OkayamaXuan PengLi YanKoji KonoToru OhtakeKazuaki TakabePublished in: International journal of molecular sciences (2019)
Annexin A1 (ANXA1) is a phospholipid-linked protein involved in inflammation, immune response, and mast cell reactivity. Recently, we reported that ANXA1 is associated with aggressive features of triple-negative breast cancer (TNBC); however, its clinical relevance remains controversial. We hypothesized that human TNBC with high expression of ANXA1 mRNA is associated with pro-cancerous immune cell infiltration, including mast cells, and with an aggressive phenotype. Clinical and RNA-seq data were obtained from The Cancer Genome Atlas (TCGA, n = 1079) and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) (n = 1904). TNBC patients had significantly higher levels of ANXA1 expression compared to the other subtypes in both TCGA and METABRIC cohorts (p < 0.001). ANXA1 protein expression was assessed by immunohistochemistry in Japanese TNBC patient cohort (n = 48), where 17 cases (35.4%) had positive ANXA1 staining, and their overall survival was significantly shorter compared with negative staining group (p = 0.008). The CIBERSORT algorithm was used to calculate immune cell infiltrations. ANXA1 high tumors were associated with activated mast cells and M2 macrophages (p > 0.01), but did not show any association with tumor heterogeneity nor cytolytic activity. High expression of ANXA1 group enriched inflammation, epithelial-to-mesenchymal transition (EMT), and angiogenesis-related genes in a gene set enrichment assay in both cohorts. To our knowledge, this is the first study to demonstrate that ANXA1 is associated with infiltration of mast cells and inflammation that is associated with the aggressive phenotype of TNBC, such as EMT and angiogenesis.
Keyphrases
- poor prognosis
- endothelial cells
- oxidative stress
- rna seq
- single cell
- binding protein
- immune response
- end stage renal disease
- vascular endothelial growth factor
- chronic kidney disease
- healthcare
- machine learning
- long non coding rna
- ejection fraction
- deep learning
- genome wide
- high throughput
- wound healing
- squamous cell carcinoma
- newly diagnosed
- small molecule
- young adults
- dna methylation
- copy number
- inflammatory response
- fatty acid
- prognostic factors
- big data
- lymph node metastasis
- anti inflammatory