Delineating the early dissemination mechanisms of acral melanoma by integrating single-cell and spatial transcriptomic analyses
Chuanyuan Wei,
Wei Sun,
Kangjie Shen,
Jingqin Zhong,
Wanlin Liu,
Zixu Gao,
Yu Xu,
Lu Wang,
Tu Hu,
Ming Ren,
Yinlam Li,
Yu Zhu,
Shaoluan Zheng,
Ming Zhu,
Rongkui Luo,
Yanwen Yang,
Yingyong Hou,
Fazhi Qi,
Yuhong Zhou (),
Yong Chen () and
Jianying Gu ()
Additional contact information
Chuanyuan Wei: Fudan University
Wei Sun: Fudan University Shanghai Cancer Center
Kangjie Shen: Fudan University
Jingqin Zhong: Fudan University Shanghai Cancer Center
Wanlin Liu: Fudan University Shanghai Cancer Center
Zixu Gao: Fudan University
Yu Xu: Fudan University Shanghai Cancer Center
Lu Wang: Fudan University
Tu Hu: Fudan University Shanghai Cancer Center
Ming Ren: Fudan University
Yinlam Li: Fudan University
Yu Zhu: Fudan University
Shaoluan Zheng: Fudan University
Ming Zhu: Fudan University
Rongkui Luo: Fudan University
Yanwen Yang: Fudan University
Yingyong Hou: Fudan University
Fazhi Qi: Fudan University
Yuhong Zhou: Fudan University
Yong Chen: Fudan University Shanghai Cancer Center
Jianying Gu: Fudan University
Nature Communications, 2023, vol. 14, issue 1, 1-20
Abstract:
Abstract Acral melanoma (AM) is a rare subtype of melanoma characterized by a high incidence of lymph node (LN) metastasis, a critical factor in tumor dissemination and therapeutic decision-making. Here, we employ single-cell and spatial transcriptomic analyses to investigate the dynamic evolution of early AM dissemination. Our findings reveal substantial inter- and intra-tumor heterogeneity in AM, alongside a highly immunosuppressive tumor microenvironment and complex intercellular communication networks, particularly in patients with LN metastasis. Notably, we identify a strong association between MYC+ Melanoma (MYC+MEL) and FGFBP2+NKT cells with LN metastasis. Furthermore, we demonstrate that LN metastasis requires a metabolic shift towards fatty acid oxidation (FAO) induced by MITF in MYC+MEL cells. Etomoxir, a clinically approved FAO inhibitor, can effectively suppress MITF-mediated LN metastasis. This comprehensive dataset enhances our understanding of LN metastasis in AM, and provides insights into the potential therapeutic targeting for the management of early AM dissemination.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-43980-y
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DOI: 10.1038/s41467-023-43980-y
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