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单细胞RNA测序揭示了原发性和转移性雌激素受体阳性乳腺癌中恶性细胞及肿瘤微环境的不同细胞状态。

Single-cell RNA sequencing reveals different cellular states in malignant cells and the tumor microenvironment in primary and metastatic ER-positive breast cancer.

作者信息

Ozmen Furkan, Ozmen Tugba Y, Ors Aysegul, Janghorban Mahnaz, Rames Matthew J, Li Xi, Doe Aaron Reid, Behbod Fariba, Mills Gordon B, Mohammed Hisham

机构信息

Division of Oncological Sciences, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.

Cancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.

出版信息

NPJ Breast Cancer. 2025 Aug 26;11(1):95. doi: 10.1038/s41523-025-00808-w.


DOI:10.1038/s41523-025-00808-w
PMID:40858590
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12381257/
Abstract

Metastatic breast cancer remains largely incurable, and the mechanisms driving the transition from primary to metastatic breast cancer remain elusive. We analyzed the complex landscape of estrogen receptor (ER)-positive breast cancer primary and metastatic tumors using scRNA-seq data from twenty-three female patients with either primary or metastatic disease. By employing single-cell transcriptional profiling of unpaired patient samples, we sought to elucidate the genetic and molecular mechanisms underlying changes in the metastatic tumor ecosystem. We identified specific subtypes of stromal and immune cells critical to forming a pro-tumor microenvironment in metastatic lesions, including CCL2+ macrophages, exhausted cytotoxic T cells, and FOXP3+ regulatory T cells. Analysis of cell-cell communication highlights a marked decrease in tumor-immune cell interactions in metastatic tissues, likely contributing to an immunosuppressive microenvironment. In contrast, primary breast cancer samples displayed increased activation of the TNF-α signaling pathway via NF-kB, indicating a potential therapeutic target. Our study comprehensively characterizes the transcriptional landscape encompassing primary and metastatic breast cancer.

摘要

转移性乳腺癌在很大程度上仍然无法治愈,驱动原发性乳腺癌向转移性乳腺癌转变的机制仍然难以捉摸。我们使用来自23名患有原发性或转移性疾病的女性患者的单细胞RNA测序(scRNA-seq)数据,分析了雌激素受体(ER)阳性乳腺癌原发性和转移性肿瘤的复杂情况。通过对未配对患者样本进行单细胞转录谱分析,我们试图阐明转移瘤生态系统变化背后的遗传和分子机制。我们确定了对转移性病变中促肿瘤微环境形成至关重要的基质细胞和免疫细胞的特定亚型,包括CCL2 +巨噬细胞、耗竭的细胞毒性T细胞和FOXP3 +调节性T细胞。细胞间通讯分析突出了转移组织中肿瘤-免疫细胞相互作用的显著减少,这可能导致免疫抑制微环境。相比之下,原发性乳腺癌样本通过NF-κB显示出TNF-α信号通路的激活增加,这表明了一个潜在的治疗靶点。我们的研究全面地描绘了原发性和转移性乳腺癌的转录情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/12381257/b8797d862a6f/41523_2025_808_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/12381257/9fd007050b66/41523_2025_808_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/12381257/e49cd95690be/41523_2025_808_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/12381257/650dfe168ae3/41523_2025_808_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/12381257/08630dc2b844/41523_2025_808_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/12381257/b8797d862a6f/41523_2025_808_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/12381257/9fd007050b66/41523_2025_808_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/12381257/e49cd95690be/41523_2025_808_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/12381257/650dfe168ae3/41523_2025_808_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/12381257/08630dc2b844/41523_2025_808_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83c2/12381257/b8797d862a6f/41523_2025_808_Fig5_HTML.jpg

相似文献

[1]
Single-cell RNA sequencing reveals different cellular states in malignant cells and the tumor microenvironment in primary and metastatic ER-positive breast cancer.

NPJ Breast Cancer. 2025-8-26

[2]
Single-cell transcriptome analysis reveals the malignant characteristics of tumour cells and the immunosuppressive landscape in HER2-positive inflammatory breast cancer.

J Exp Clin Cancer Res. 2025-7-8

[3]
The role of collagen type VI alpha 6 chain as a potential tumor suppressor in breast cancer: an immune regulation perspective.

BMC Cancer. 2025-8-23

[4]
Integrated single-cell and transcriptomic analysis of bone marrow-derived metastatic neuroblastoma reveals molecular mechanisms of metabolic reprogramming.

Sci Rep. 2025-8-5

[5]
Systematic screening of metabolic pathways to identify two breast cancer subtypes with divergent immune characteristics.

Sci Rep. 2025-7-1

[6]
Integrated single-cell and bulk transcriptome analysis of R-loop score-based signature with regard to immune microenvironment, lipid metabolism and prognosis in HCC.

Front Immunol. 2025-1-9

[7]
Intercellular communication between extracellular vesicles from conditioned macrophages and breast cancer cells drives endocrine therapy resistance.

Front Cell Dev Biol. 2025-6-3

[8]
Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.

Front Immunol. 2025-7-24

[9]
Circulating immune cells exhibit distinct traits linked to metastatic burden in breast cancer.

Breast Cancer Res. 2025-5-8

[10]
Single-cell and spatial transcriptomics profile the interaction of macrophages and fibroblasts in non-small cell lung cancer.

Transl Lung Cancer Res. 2025-7-31

本文引用的文献

[1]
Comprehensive analysis of KLF family reveals KLF6 as a promising prognostic and immune biomarker in pancreatic ductal adenocarcinoma.

Cancer Cell Int. 2024-5-21

[2]
Integrated analysis of public datasets for the discovery and validation of survival-associated genes in solid tumors.

Innovation (Camb). 2024-4-9

[3]
Single-cell transcriptomics reveals the intra-tumoral heterogeneity and SQSTM1/P62 and Wnt/β-catenin mediated epithelial to mesenchymal transition and stemness of triple-negative breast cancer.

Exp Cell Res. 2024-5-1

[4]
Identification of a novel ADCC-related gene signature for predicting the prognosis and therapy response in lung adenocarcinoma.

Inflamm Res. 2024-5

[5]
MGP and IDO1 tumor-associated macrophages facilitate immunoresistance in breast cancer revealed by single-cell RNA sequencing.

Int Immunopharmacol. 2024-4-20

[6]
Mismatch repair gene correlates with the prognosis, immune status and immune checkpoint inhibitors response of endometrial cancer.

Front Immunol. 2024

[7]
Novel tumor-associated macrophage populations and subpopulations by single cell RNA sequencing.

Front Immunol. 2023

[8]
Automatic cell-type harmonization and integration across Human Cell Atlas datasets.

Cell. 2023-12-21

[9]
The characteristics and the multiple functions of integrin β1 in human cancers.

J Transl Med. 2023-11-6

[10]
Eukaryotic translation initiation factor 2α kinase 2 in pancreatic cancer: An approach towards managing clinical prognosis and molecular immunological characterization.

Oncol Lett. 2023-9-21

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