Resolving the spatial and cellular architecture of intra-tumor heterogeneity by multi-region dissection of lung adenocarcinoma.

IF 6.6 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Song Mei, Xiaolei Wang, Mengmeng Zhao, Qing Huang, Yixuan Huang, Mingming Su, Xinlei Zhang, Xu Wang, Xueyu Hao, Tianning Wang, Yanhua Wu, Yuanhui Ma, Jingnan Wang, Peng Zhang, Yan Zheng
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引用次数: 0

Abstract

Although the spatial characteristics within the tumor microenvironment (TME) of lung adenocarcinoma (LUAD) have been identified, the mechanisms by which these factors promote LUAD progression and immune evasion remain unclear. Using spatial transcriptomics (ST) and single-cell RNA-sequencing (scRNA-seq) data from multi-regional LUAD biopsies, consisting of tumor core, tumor edge and normal area, we sought to delineate the spatial heterogeneity and driving factors of cell co-localization. Two cancer cell sub-clusters (Cancer_c1 and Cancer_c2), associated with LUAD initiation and metastasis respectively, exhibit distinct spatial distributions and immune cell colocalizations. In particular, Cancer_c1, enriched within the tumor core, could directly interact with B cells or indirectly recruit B cells through macrophages. Conversely, Cancer_c2 enriched within the tumor edge exhibits co-localization with CD8+ T cells. Collectively, our work elucidates the spatial distribution of cancer cell subtypes and their interaction with immune cells in the core and edge of LUAD, providing insights for developing therapeutic strategies for cancer intervention.

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来源期刊
Journal of Genetics and Genomics
Journal of Genetics and Genomics 生物-生化与分子生物学
CiteScore
8.20
自引率
3.40%
发文量
4756
审稿时长
14 days
期刊介绍: The Journal of Genetics and Genomics (JGG, formerly known as Acta Genetica Sinica ) is an international journal publishing peer-reviewed articles of novel and significant discoveries in the fields of genetics and genomics. Topics of particular interest include but are not limited to molecular genetics, developmental genetics, cytogenetics, epigenetics, medical genetics, population and evolutionary genetics, genomics and functional genomics as well as bioinformatics and computational biology.
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