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Inflammation- and resolution-programmed myeloid circuits govern therapeutic resistance in epithelial and mesenchymal triple-negative breast cancer
Liqun Yu, Charlotte Rivas, Fengshuo Liu, Yichao Shen, Ling Wu, Zhan Xu, Yunfeng Ding, Xiaoxin Hao, Weijie Zhang, Hilda L. Chan, Jun Liu, Bo Wei, Yang Gao, Luis Becerra-Dominguez, Yi-Hsuan Wu, Siyue Wang, Tobie D. Lee, Xuan Li, Xiang Chen, David G. Edwards, Xiang H.-F. Zhang
Liqun Yu, Charlotte Rivas, Fengshuo Liu, Yichao Shen, Ling Wu, Zhan Xu, Yunfeng Ding, Xiaoxin Hao, Weijie Zhang, Hilda L. Chan, Jun Liu, Bo Wei, Yang Gao, Luis Becerra-Dominguez, Yi-Hsuan Wu, Siyue Wang, Tobie D. Lee, Xuan Li, Xiang Chen, David G. Edwards, Xiang H.-F. Zhang
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Research Article Immunology Oncology

Inflammation- and resolution-programmed myeloid circuits govern therapeutic resistance in epithelial and mesenchymal triple-negative breast cancer

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Abstract

Single-cell analysis of human triple-negative breast cancer revealed heterogeneous macrophage populations with opposing phenotypes — proinflammatory and proresolution of inflammation. Paradoxically, both subsets accumulated in therapy-refractory residual tumors but showed inverse correlations across patients, suggesting mutually exclusive resistance mechanisms. Inflammatory macrophages localized preferentially to epithelial-like tumors, whereas proresolution macrophages were enriched in mesenchymal-like tumors. Mouse models faithfully recapitulated these patterns. After chemoimmunotherapy, mesenchymal-like tumors expanded proresolution macrophages through phagocytosis/efferocytosis, ω-3 fatty acid uptake, and resolvin production. Macrophage-secreted C1q emerged as a principal antagonist of T cell function by targeting mitochondria and inducing metabolic dysfunction. By contrast, epithelial-like tumors accumulated inflammatory macrophages and neutrophils that produced prostaglandins via ω-6 fatty acid pathways. Knocking down ELOVL5 — an elongase involved in ω-3 and ω-6 metabolism — mitigated both neutrophil- and macrophage-mediated immunosuppression. These distinct axes, driven by dysregulated inflammation and resolution programs, converged to undermine therapy-induced immunosurveillance; however, targeting their shared upstream regulators may overcome these resistance mechanisms.

Authors

Liqun Yu, Charlotte Rivas, Fengshuo Liu, Yichao Shen, Ling Wu, Zhan Xu, Yunfeng Ding, Xiaoxin Hao, Weijie Zhang, Hilda L. Chan, Jun Liu, Bo Wei, Yang Gao, Luis Becerra-Dominguez, Yi-Hsuan Wu, Siyue Wang, Tobie D. Lee, Xuan Li, Xiang Chen, David G. Edwards, Xiang H.-F. Zhang

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Figure 3

Resistant mesenchymal-like tumors promote tumor-associated macrophage differentiation.

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Resistant mesenchymal-like tumors promote tumor-associated macrophage di...
(A) UMAP visualization of immune cells from merged tumor samples. (B) Pie charts illustrate immune cell composition in parental E0771 and resistant tumors. (C) UMAP of monocyte and macrophage clusters from merged tumor samples. (D) Heatmap of average expression of monocyte, MHCII+, inflammatory, and inflammation-resolution macrophage signatures across macrophage/monocyte subclusters. (E) Predicted cell-state transitions overlaid on the myeloid UMAP. (F) Volcano plot illustrates differential gene expression between murine cluster 0 macrophages and other clusters. P values were determined by Wilcoxon’s rank-sum test. (G) GSEA for macrophage-specific signature genes from murine clusters 0, 3, and 6. Normalized enrichment score (NES)value indicates enrichment score of specified cluster against all other clusters combined. (H) Ratio of murine cluster 0 macrophages and CD8+ T cells within CD45+ immune cells. (I) Flow cytometry of immune infiltrates in E0771, AT3, and their resistant derivatives at endpoint. (Left) Log2 fold change relative to the vehicle-treated parental tumors; each square represents 1 cell type per tumor. (Right) Average immune cell number per 1,000 CD45– cells (n = 5). (J) Flow cytometry of CD8+ T cells (left) and macrophage/(monocyte+macrophage) ratio (right) in E0771, E0771-Res1, and E0771-Res2 tumors. Significance was determined using 1-way ANOVA followed by Tukey’s test. (K) Representative immunofluorescence of F4/80, TREM2, and DAPI in parental and resistant tumors. Scale bar: 40 μm. (L) Representative flow plots (left) and quantification of TREM2+ macrophages in E0771, AT3, and resistant derivatives. Significance for the middle plot was determined using 1-way ANOVA followed by Tukey’s test. Significance for the right plot was calculated using unpaired 2-tailed Student’s t test. (M) Representative flow plots (left) and quantification of fluorescence intensity in TREM2lo and TREM2hi tumor-associated macrophages (TAMs) in AT3-Res GFP and E0771-Res1 RFP tumors. Significance was calculated using paired 2-tailed Student’s t test (n = 4).

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ISSN: 0021-9738 (print), 1558-8238 (online)

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