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Multiomics identifies a cholesterol–TFEB–PLD3–TLR9 axis driving immunosuppressive tumor-associated macrophage polarization in esophageal squamous cell carcinoma

Licheng Tan (Co-first Author), Hongyu Zhou (Co-first Author), Baifeng Zhang (Co-first Author), Dora Lai Wan Kwong, Yongxu Jia, Jiayi Huang, Kin To Hugo Siu, Shuang Zhang, Jiao Huang, Jie Luo, Yuma Yang, Qin Liu, Yingchen Lyu, Liuxian Ban, Ziyang Qi, Nanzhou Yu, Chaohui He, Weiguang Zhang, Yanru Qin, Beilei Liu*Xinyuan Guana*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Tumor-associated macrophages (TAMs) reshape the tumor immune microenvironment and promote tumor progression, yet the underlying mechanisms remain largely unclear. Through integration of single-cell RNA (scRNA) sequencing datasets from esophageal squamous cell carcinoma (ESCC), we identified a distinct protumoral macrophage population with elevated expression of phospholipase D3 (PLD3). Multiomics investigations revealed that high infiltration of these PLD3-high macrophages was associated with poor clinical outcomes in ESCC patients. Mechanistically, tumor cells secreted cholesterol to modulate the microenvironment. Upon the uptake by TAMs, cholesterol triggered the nuclear translocation of transcription factor EB (TFEB), which directly bound to the PLD3 promoter region and activated its transcription. The overexpressed PLD3 localized to lysosomes, enzymatically degrading single-stranded nucleic acids, thereby suppressing the activation of the toll-like receptor 9 (TLR9) pathway. This cascade ultimately impaired effector T cell function and sustained an immunosuppressive tumor microenvironment (TME). Notably, therapeutic intervention using ODN2216-siPLD3 in murine models enhanced CD8 T cell infiltration and significantly inhibited tumor growth. Our findings highlight PLD3-high macrophages as a promising diagnostic biomarker and a therapeutic target for ESCC, paving the way for potential clinical translation. Copyright © 2026 the Author(s).
Original languageEnglish
Article numbere2520427123
Number of pages11
JournalProceedings of the National Academy of Sciences of the United States of America
Volume123
Issue number3
Online published12 Jan 2026
DOIs
Publication statusPublished - 20 Jan 2026

Funding

We thank the Centre for PanorOmic Sciences, The University of Hong Kong, for the support. Graphic figures were drawn via Biorender(https://www.biorender.com/).This work is supported by grants from the Hong Kong Research Grant Council grants including Collaborative Research Funds (C7065-18GF, C7026-18GF, and C4039-19GF), Research Impact Fund (R4017-18, R1020-18F, and R7022-20), General Research Fund (17119322), Theme-based Research Scheme Fund (T12-703/22-R), the National Natural Science Foundation of China(82072738, 82273483, 82403295), Shenzhen Key Laboratory for cancer metastasis and personalized therapy (ZDSYS20210623091811035), Shenzhen Science and Technology Program (JCYJ20220818103014030, KQTD20180411185028798,JCYJ20220818103012025, and JCYJ20240813113012017), Guangdong Science and Technology Department (2020B1212030004 and 2024A1515220039), and the Program for Guangdong Introducing Innovative and Entrepreneurial Team (2019BT02Y198). X.Y.G. is the Sophie Y. M. Chan Professor in Cancer Research.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Publisher's Copyright Statement

  • COPYRIGHT TERMS OF DEPOSITED FINAL PUBLISHED VERSION FILE: This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

RGC Funding Information

  • RGC-funded

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