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人类乳腺癌中的细胞群体在分子和生物学上随年龄而不同。

Cell Populations in Human Breast Cancers are Molecularly and Biologically Distinct with Age.

作者信息

Parsons Adrienne, Colon Esther Sauras, Spasic Milos, Kurt Busem Binboga, Swarbrick Alexander, Freedman Rachel A, Mittendorf Elizabeth A, van Galen Peter, McAllister Sandra S

机构信息

Division of Hematology, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.

Department of Medicine, Harvard Medical School, Boston, MA 02115, USA.

出版信息

Res Sq. 2024 Oct 15:rs.3.rs-5167339. doi: 10.21203/rs.3.rs-5167339/v1.

Abstract

Aging is associated with increased breast cancer risk and outcomes are worse for the oldest and youngest patients, regardless of subtype. It is not known how cells in the breast tumor microenvironment are impacted by age and how they might contribute to age-related disease pathology. Here, we discover age-associated differences in cell states and interactions in human estrogen receptor-positive (ER+) and triple-negative breast cancers (TNBC) using new computational analyses of existing single-cell gene expression data. Age-specific program enrichment (ASPEN) analysis reveals age-related changes, including increased tumor cell epithelial-mesenchymal transition, cancer-associated fibroblast inflammatory responses, and T cell stress responses and apoptosis in TNBC. ER+ breast cancer is dominated by increased cancer cell estrogen receptor 1 ( and luminal cell activity, reduced immune cell metabolism, and decreased vascular and extracellular matrix (ECM) remodeling with age. Cell interactome analysis reveals candidate signaling pathways that drive many of these cell states. This work lays a foundation for discovery of age-adapted therapeutic interventions for breast cancer.

摘要

衰老与乳腺癌风险增加相关,无论肿瘤亚型如何,年龄最大和最小的患者预后都较差。目前尚不清楚乳腺肿瘤微环境中的细胞如何受到年龄的影响,以及它们如何促成与年龄相关的疾病病理。在此,我们利用对现有单细胞基因表达数据的新计算分析,发现了人类雌激素受体阳性(ER+)和三阴性乳腺癌(TNBC)中细胞状态和相互作用的年龄相关差异。年龄特异性程序富集(ASPEN)分析揭示了与年龄相关的变化,包括TNBC中肿瘤细胞上皮-间质转化增加、癌症相关成纤维细胞炎症反应以及T细胞应激反应和凋亡。随着年龄的增长,ER+乳腺癌的特征是癌细胞雌激素受体1增加、管腔细胞活性增强、免疫细胞代谢降低以及血管和细胞外基质(ECM)重塑减少。细胞相互作用组分析揭示了驱动许多这些细胞状态的候选信号通路。这项工作为发现适合年龄的乳腺癌治疗干预措施奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c304/11527348/b339968919a4/nihpp-rs5167339v1-f0001.jpg

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