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Arf1-mediated lipid metabolism sustains cancer cells and its ablation induces anti-tumor immune responses in mice

Author

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  • Guohao Wang

    (National Cancer Institute at Frederick, National Institutes of Health)

  • Junji Xu

    (National Institutes of Health)

  • Jiangsha Zhao

    (National Cancer Institute at Frederick, National Institutes of Health)

  • Weiqin Yin

    (National Cancer Institute at Frederick, National Institutes of Health)

  • Dayong Liu

    (National Cancer Institute at Frederick, National Institutes of Health)

  • WanJun Chen

    (National Institutes of Health)

  • Steven X. Hou

    (National Cancer Institute at Frederick, National Institutes of Health)

Abstract

Cancer stem cells (CSCs) may be responsible for treatment resistance, tumor metastasis, and disease recurrence. Here we demonstrate that the Arf1-mediated lipid metabolism sustains cells enriched with CSCs and its ablation induces anti-tumor immune responses in mice. Notably, Arf1 ablation in cancer cells induces mitochondrial defects, endoplasmic-reticulum stress, and the release of damage-associated molecular patterns (DAMPs), which recruit and activate dendritic cells (DCs) at tumor sites. The activated immune system finally elicits antitumor immune surveillance by stimulating T-cell infiltration and activation. Furthermore, TCGA data analysis shows an inverse correlation between Arf1 expression and T-cell infiltration and activation along with patient survival in various human cancers. Our results reveal that Arf1-pathway knockdown not only kills CSCs but also elicits a tumor-specific immune response that converts dying CSCs into a therapeutic vaccine, leading to durable benefits.

Suggested Citation

  • Guohao Wang & Junji Xu & Jiangsha Zhao & Weiqin Yin & Dayong Liu & WanJun Chen & Steven X. Hou, 2020. "Arf1-mediated lipid metabolism sustains cancer cells and its ablation induces anti-tumor immune responses in mice," Nature Communications, Nature, vol. 11(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-019-14046-9
    DOI: 10.1038/s41467-019-14046-9
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    Cited by:

    1. Lifan Chen & Zisheng Fan & Jie Chang & Ruirui Yang & Hui Hou & Hao Guo & Yinghui Zhang & Tianbiao Yang & Chenmao Zhou & Qibang Sui & Zhengyang Chen & Chen Zheng & Xinyue Hao & Keke Zhang & Rongrong Cu, 2023. "Sequence-based drug design as a concept in computational drug design," Nature Communications, Nature, vol. 14(1), pages 1-21, December.

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