Figure 8 from OPG-Producing B Cells and RANKL-Expressing T Cells Define Immune Signatures Predictive of Bone Metastases in Breast Cancer

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Authors: Ana Carolina Monteiro, Diego D. Garcia, Ana Paula Gregório Alves Fontão, Bárbara Du Rocher, Maria E. Globa Masset, Isabella N. Alves, Lucas Gonçalves Carvalho, Cecília Vianna De Andrade, Gabriel Fidalgo, Marcos V. Colaço, Liebert Parreiras Nogueira, Maria de Fátima Dias Gauí
+1 more Adriana Bonomo
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Abstract

Divergent immune signatures defined by RANKL and OPG expression are associated with differential metastatic risk in BRCA-Basal breast tumors. A, Spearman correlation analysis between TNFSF11 (RANKL) gene expression and CD4+ T cell subpopulations in BRCA-Basal tumors (n = 191, TCGA dataset). Significant positive correlations were observed with total CD4+ T cells (EPIC, TIMER), naive and memory subsets (CIBERSORT, XCELL), and Tregs (QUANTISEQ). An inverse correlation with tumor purity suggests an immune (rather than tumor) source of RANKL expression. B,Z-score risk analysis identified high infiltration of CD4+ central memory T cells as significantly associated with increased clinical risk in the BRCA-Basal subtype (Z = 2.253; P < 0.05). C, Spearman correlations between TNFRSF11B (OPG) expression and B cell subpopulations in BRCA-Basal tumors. Significant positive associations were detected with total B cells (QUANTISEQ), naive B cells, and class-switched memory B cells (XCELL), alongside a negative correlation with tumor purity, reinforcing an immune origin for OPG expression. D,Z-score risk analysis revealed that high plasma B cell infiltration was significantly associated with reduced clinical risk (Z = −2.078; P < 0.05), implicating a protective immune profile related to OPG expression. Data were obtained from the TCGA cohort using TIMER 2.0 and analyzed through multiple deconvolution algorithms (EPIC, TIMER, CIBERSORT, XCELL, QUANTISEQ). A and D, Correlation analyses between RANKL (Tnfsf11) or OPG (Tnfrsf11b) expression and immune cell infiltration across the BRCA-Basal TCGA cohort (n = 191) were performed using the TIMER, EPIC, CIBERSORT, XCELL, and QUANTISEQ deconvolution platforms. Statistical significance was determined by Spearman’s rank correlation test. B and C, Clinical risk associations for each immune subset were computed using Z-score analysis (two-tailed). Significance thresholds: P < 0.05.

Fields of Study & Subjects

Cancer Immunotherapy and Biomarkers Breast Cancer Treatment Studies T-cell and B-cell Immunology

Publication details

Publication date
13 January 2026