In silico transcriptomic mapping of integrins and immune activation in Basal-like and HER2+ breast cancer

利用计算机模拟转录组学方法绘制基底样和HER2阳性乳腺癌中整合素和免疫激活的图谱

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Abstract

PURPOSE: Integrins, transmembrane receptors that mediate cell-extracellular matrix and cell-cell interactions, have been linked to several cancer-associated features. A less explored function of integrins in cancer is their role in leukocyte homing and activation. Understanding their relationship with immune cell infiltrates and immune checkpoints is an area of interest in cancer research. METHODS: The expression of 33 different integrins was evaluated in relation with breast cancer patient outcome using transcriptomic data (Affymetrix dataset, exploratory cohort) and the METABRIC study (validation cohort). The TIMER online tool was used to assess the association of the identified integrin genes with immune cell infiltration, and the TCGA and METABRIC studies to assess correlations between integrin gene expression and genomic signatures of immune activation. RESULTS: We identified 7 genes coding for integrin α and β subunits, i.e., ITGA4, ITGB2, ITGAX, ITGB7, ITGAM, ITGAL and ITGA8, which predict a favorable prognosis in Basal-like and HER2+ breast cancers. Their expression positively correlated with the presence of immune cell infiltrates within the tumor (dendritic cells, CD4+ T-cells, neutrophils, CD8+ T-cells and B-cells), with markers of T-cell activation and antigen presentation, and with gene signatures of immune surveillance (cytotoxic T lymphocyte activation and IFN gamma signature). By contrast, we found that genes coding for integrins that predicted a detrimental outcome (IBSP, ITGB3BP, ITGB6, ITGB1 and ITGAV) were not associated with any of these parameters. CONCLUSIONS: We identified an integrin signature composed of 7 genes with potential to recognize immune infiltrated and activated Basal-like and HER2+ breast cancers with a favorable prognosis.

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