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三阴性乳腺癌细胞间相互作用的单细胞和空间转录组学分析

Analysis of single-cell and spatial transcriptomics in TNBC cell-cell interactions.

作者信息

Xin Yan, Ma Qiji, Deng Qiang, Wang Tielin, Wang Dongxu, Wang Gang

机构信息

Department of Anesthesiology, The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.

Department of Breast and Thyroid Surgery, The Affliated Hospital to Changchun University of Chinese Medicine, Changchun, China.

出版信息

Front Immunol. 2025 Feb 26;16:1521388. doi: 10.3389/fimmu.2025.1521388. eCollection 2025.

DOI:10.3389/fimmu.2025.1521388
PMID:40079015
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11897037/
Abstract

Triple-negative breast cancer (TNBC) is a highly malignant tumor in women, characterized by high morbidity, mortality, and recurrence rates. Although surgical treatment, radiotherapy, and chemotherapy are the mainstays of current treatment methods, the high heterogeneity of TNBC results in unsatisfactory outcomes with low 5-year survival rates. Rapid advancements in omics technology have propelled the understanding of TNBC molecular biology. The emergence of single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) has significantly enhanced knowledge of tumor heterogeneity and the distribution, functionality, and intercellular interactions of various cell types within the tumor microenvironment, including tumor cells, T cells, B cells, macrophages, and fibroblasts. The present study provides an overview of the technical characteristics of scRNA-seq and ST, highlighting their applications in exploring TNBC heterogeneity, cell spatial distribution patterns, and intercellular interactions. This review aims to enhance the comprehension of TNBC at the cellular level for the development of effective therapeutic targets.

摘要

三阴性乳腺癌(TNBC)是女性中一种高度恶性的肿瘤,其特征在于高发病率、死亡率和复发率。尽管手术治疗、放疗和化疗是当前治疗方法的主要手段,但TNBC的高度异质性导致治疗效果不尽人意,5年生存率较低。组学技术的快速发展推动了对TNBC分子生物学的认识。单细胞RNA测序(scRNA-seq)和空间转录组学(ST)的出现显著增强了对肿瘤异质性以及肿瘤微环境中各种细胞类型(包括肿瘤细胞、T细胞、B细胞、巨噬细胞和成纤维细胞)的分布、功能和细胞间相互作用的了解。本研究概述了scRNA-seq和ST的技术特征,突出了它们在探索TNBC异质性、细胞空间分布模式和细胞间相互作用方面的应用。这篇综述旨在增强在细胞水平上对TNBC的理解,以开发有效的治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/104e/11897037/42ac9f86e7d4/fimmu-16-1521388-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/104e/11897037/bffba6b37222/fimmu-16-1521388-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/104e/11897037/b3be40d660d3/fimmu-16-1521388-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/104e/11897037/42ac9f86e7d4/fimmu-16-1521388-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/104e/11897037/bffba6b37222/fimmu-16-1521388-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/104e/11897037/b3be40d660d3/fimmu-16-1521388-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/104e/11897037/42ac9f86e7d4/fimmu-16-1521388-g003.jpg

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JCI Insight. 2025 Jan 14;10(3):e176749. doi: 10.1172/jci.insight.176749.
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Spatial Architecture of Single-Cell and Vasculature in Tumor Microenvironment Predicts Clinical Outcomes in Triple-Negative Breast Cancer.肿瘤微环境中单细胞与脉管系统的空间结构可预测三阴性乳腺癌的临床结局。
Mod Pathol. 2025 Feb;38(2):100652. doi: 10.1016/j.modpat.2024.100652. Epub 2024 Nov 8.
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Spatial transcriptomics: a new frontier in accurate localization of breast cancer diagnosis and treatment.
空间转录组学:精准定位乳腺癌诊断和治疗的新前沿。
Front Immunol. 2024 Oct 8;15:1483595. doi: 10.3389/fimmu.2024.1483595. eCollection 2024.
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SPP1+ macrophages in HR+ breast cancer are associated with tumor-infiltrating lymphocytes.激素受体阳性(HR+)乳腺癌中的SPP1+巨噬细胞与肿瘤浸润淋巴细胞相关。
NPJ Breast Cancer. 2024 Sep 30;10(1):83. doi: 10.1038/s41523-024-00695-7.
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Single-cell RNA sequencing reveals the communications between tumor microenvironment components and tumor metastasis in osteosarcoma.单细胞 RNA 测序揭示骨肉瘤肿瘤微环境成分与肿瘤转移之间的通讯。
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