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Omics · study · 2026

Progesterone reshapes the tumor immune microenvironment towards macrophage-driven immune suppression in hormone receptor-positive breast cancer

Listed in NCBI GEO

Hormone receptor–positive (HR⁺) breast cancers comprise ~80% of breast cancer cases, yet endocrine resistance remains a clinical barrier.

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While estrogen receptor alpha (ER) biology is well characterized, the role of progesterone receptor (PR) signaling in tumor progression and immune evasion is less defined. Using the ER⁺/PR⁺ SSM2 murine mammary tumor model, we investigated progesterone’s influence on tumor growth and the immune microenvironment.

Progesterone significantly accelerated tumor growth in vivo and enhanced proliferation in vitro. Single-cell RNA sequencing (scRNA-seq) revealed that progesterone treatment reshaped the tumor microenvironment, expanding the tumor cell compartment while markedly reducing immune populations. Tumor-intrinsic analyses showed downregulation of interferon and antigen presentation pathways, alongside upregulation of cell cycle and proliferation signaling.

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Within the immune compartment, progesterone reduced overall T cell infiltration, shifted CD4⁺ T cells toward a regulatory phenotype, and increased macrophages. Notably, lipid-associated macrophages (LAMs) with a high Apoe/Trem2 signature were markedly expanded and engaged in immunosuppressive Spp1–CD44 signaling with immune cells. CellChat analysis of inferred ligand–receptor interactions revealed LAM-driven communication networks that may impair the anti-tumor immune response.

Analysis of human breast cancer scRNA-seq datasets confirmed that PRhi tumors harbored more LAMs than PRlo tumors, supporting the translational relevance of our findings. Collectively, these data establish progesterone signaling as a driver of immune suppression in HR⁺ breast cancer through coordinated effects on tumor cells, T cells, and macrophages. Targeting PR signaling or LAM subsets may represent novel therapeutic strategies to overcome immune evasion and sensitize HR⁺ tumors to immunotherapy.

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Life Sciences
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Cancer 75% · RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE32545712 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:cancerenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:single-cell-rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[organism].NCBITaxon:10090source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title