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整合空间组学和单细胞质谱成像揭示肝细胞癌中肿瘤与宿主的代谢相互作用。

Integrating spatial omics and single-cell mass spectrometry imaging reveals tumor-host metabolic interplay in hepatocellular carcinoma.

作者信息

Chen Panpan, Geng Haoyuan, Ma Bangzhen, Zhang Yaqi, Zhu Zihan, Li Min, Chen Shiping, Wang Xiao, Sun Chenglong

机构信息

Key Laboratory for Natural Active Pharmaceutical Constituents Research in Universities of Shandong Province, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.

Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.

出版信息

Proc Natl Acad Sci U S A. 2025 Aug 5;122(31):e2505789122. doi: 10.1073/pnas.2505789122. Epub 2025 Jul 29.

Abstract

Metabolic crosstalk among diverse cellular populations contributes to shaping a competitive and symbiotic tumor microenvironment (TME) to influence cancer progression and immune responses, highlighting vulnerabilities that can be exploited for cancer therapy. Using a spatial multiomics platform to study the cell-specific metabolic spectrum in hepatocellular carcinoma (HCC), we map the metabolic interactions between different cells in the HCC TME and identify a unique tumor-immune-cancer-associated fibroblast (CAF) "interface" zone, where cell-cell interactions are enhanced and accompanied by significant upregulation of lactic acid and long-chain polyunsaturated fatty acids. Further combining single-cell mass spectrometry imaging of patient-derived tumor organoids, cocultured CAFs, and macrophages, we demonstrate that CAFs increase glycolysis and secrete lactic acid to the surrounding microenvironment to drive immunosuppressive macrophage M2 polarization. These findings facilitate the understanding of cancer-associated metabolic interactions in complex TME and provide clues for targeted clinical therapies.

摘要

不同细胞群体之间的代谢串扰有助于塑造一个竞争性和共生性的肿瘤微环境(TME),从而影响癌症进展和免疫反应,凸显了可用于癌症治疗的脆弱点。利用一个空间多组学平台来研究肝细胞癌(HCC)中细胞特异性的代谢谱,我们绘制了HCC TME中不同细胞之间的代谢相互作用,并确定了一个独特的肿瘤-免疫-癌症相关成纤维细胞(CAF)“界面”区,在该区细胞间相互作用增强,同时伴随着乳酸和长链多不饱和脂肪酸的显著上调。进一步结合对患者来源的肿瘤类器官、共培养的CAF和巨噬细胞进行单细胞质谱成像,我们证明CAF增加糖酵解并向周围微环境分泌乳酸,以驱动免疫抑制性巨噬细胞M2极化。这些发现有助于理解复杂TME中与癌症相关的代谢相互作用,并为靶向临床治疗提供线索。

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