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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 2

Dichotomous immune microenvironment in murine TNBC models.

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Dichotomous immune microenvironment in murine TNBC models.
(A) Flow cyto...
(A) Flow cytometry analysis of peripheral blood (PB) neutrophils from BALB/c mice (pink) with sham (surgery without tumor implantation), T11, T12, and 2208L tumors and C57BL/6 mice (blue) with sham, AT3, E0771, and PyMT-M tumors. (B and C) Neutrophil (B) and macrophage (C) infiltration in the indicated tumors at day 20 after implantation. (D) Growth of AT3, E0771, PyMT-M, and T11 tumors under vehicle or paclitaxel (PTX) plus anti–PD-1 antibody. Numbers indicate cured/total mice per group. Dark lines represent group averages; light lines represent individual tumor size. (E) Schematic of the experimental design: following combined treatment, mice with tumor eradication were monitored for recurrence. Recurrence-free mice were rechallenged to assess immune memory. Relapsed tumors were excised to generate resistant cell lines. (F) Growth of E0771 tumors under vehicle or combined treatment. (G) Analysis of PB monocytes from mice with E0771, E0771-Res1, E0771-Res2 tumors and from mice with AT3 and AT3-Res tumors. (H) Growth of E0771, E0771-Res1, and E0771-Res2 tumors under vehicle or PTX plus anti–PD-1 antibody. (I) Average myeloid cell infiltrates in 2208L and E0771 tumors and their resistant derivatives (n = 3) determined by single-cell RNA-seq. (J and K) Relative expression of selected Hallmark gene sets in 2208L and E0771 parental tumors and resistant derivatives by bulk RNA-seq. Points represent individual samples, which are color-coded by group. (J) 2208L parental (P, n = 3), 2208L-resistant tumors (R, n = 5). (K) E0771 parental (P, n = 4), E0771-Res1 (purple, n = 4), and E0771-Res2 (pink, n = 4). (L and M) Tumor growth of 2208L-Res2 (L) and E0771-Res1 (M) tumors receiving vehicle or 100 mg/kg celecoxib daily and treated with vehicle or combined treatment. (A–C, G, L, and M) Statistical significance was determined using 1-way ANOVA followed by Tukey’s test. (D, G, and H) Significance was calculated using unpaired 2-tailed Student’s t test. *P < 0.05, **P < 0.005, ***P < 0.001, ****P < 0.0001.

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