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Optogenetic-controlled immunotherapeutic designer cells for post-surgical cancer immunotherapy

  • Yuanhuan Yu
  • , Xin Wu
  • , Meiyan Wang
  • , Wenjing Liu
  • , Li Zhang
  • , Ying Zhang
  • , Zhilin Hu
  • , Xuantong Zhou
  • , Wenzheng Jiang
  • , Qiang Zou
  • , Fengfeng Cai*
  • , Haifeng Ye*
  • *Corresponding author for this work
  • East China Normal University
  • Shanghai Jiao Tong University
  • Tongji University

Research output: Contribution to journalArticlepeer-review

Abstract

Surgical resection is the main treatment option for most solid tumors, yet cancer recurrence after surgical resection remains a significant challenge in cancer therapy. Recent advances in cancer immunotherapy are enabling radical cures for many tumor patients, but these technologies remain challenging to apply because of side effects related to uncontrollable immune system activation. Here, we develop far-red light-controlled immunomodulatory engineered cells (FLICs) that we load into a hydrogel scaffold, enabling the precise optogenetic control of cytokines release (IFN-β, TNF-α, and IL-12) upon illumination. Experiments with a B16F10 melanoma resection mouse model show that FLICs-loaded hydrogel implants placed at the surgical wound site achieve sustainable release of immunomodulatory cytokines, leading to prevention of tumor recurrence and increased animal survival. Moreover, the FLICs-loaded hydrogel implants elicit long-term immunological memory that prevents against tumor recurrence. Our findings illustrate that this optogenetic perioperative immunotherapy with FLICs-loaded hydrogel implants offers a safe treatment option for solid tumors based on activating host innate and adaptive immune systems to inhibit tumor recurrence after surgery. Beyond extending the optogenetics toolbox for immunotherapy, we envision that our optogenetic-controlled living cell factory platform could be deployed for other biomedical contexts requiring precision induction of bio-therapeutic dosage.

Original languageEnglish
Article number6357
JournalNature Communications
Volume13
Issue number1
DOIs
StatePublished - Dec 2022

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

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