Single-cell and spatially resolved analysis uncovers cell heterogeneity of breast cancer
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Published:2022-03-03
Issue:1
Volume:15
Page:
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ISSN:1756-8722
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Container-title:Journal of Hematology & Oncology
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language:en
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Short-container-title:J Hematol Oncol
Author:
Liu Si-Qing, Gao Zhi-Jie, Wu Juan, Zheng Hong-Mei, Li Bei, Sun Si, Meng Xiang-Yu, Wu QiORCID
Abstract
AbstractThe heterogeneity and the complex cellular architecture have a crucial effect on breast cancer progression and response to treatment. However, deciphering the neoplastic subtypes and their spatial organization is still challenging. Here, we combine single-nucleus RNA sequencing (snRNA-seq) with a microarray-based spatial transcriptomics (ST) to identify cell populations and their spatial distribution in breast cancer tissues. Malignant cells are clustered into distinct subpopulations. These cell clusters not only have diverse features, origins and functions, but also emerge to the crosstalk within subtypes. Furthermore, we find that these subclusters are mapped in distinct tissue regions, where discrepant enrichment of stromal cell types are observed. We also inferred the abundance of these tumorous subpopulations by deconvolution of large breast cancer RNA-seq cohorts, revealing differential association with patient survival and therapeutic response. Our study provides a novel insight for the cellular architecture of breast cancer and potential therapeutic strategies.
Funder
National Natural Science Foundation of China Health and Family Planning Commission of Hubei Province Fundamental Research Funds for the Central Universities Natural Science Foundation of Hubei Province ITMO University
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Oncology,Molecular Biology,Hematology
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