CAR T cells secreting anti-EpCAM bispecific T cell engagers overcome tumor heterogeneity in targeting

Bei Wang1, Wen-Hsin Lee1, Yuanyu Hu1

  • 1Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A(∗)STAR), 8A Biomedical Grove, Immunos, Singapore 138648, Republic of Singapore.

Insights

Engineered CAR T cells secrete bispecific engagers to overcome tumor heterogeneity and antigen escape in solid tumors. This novel approach enhances immunotherapy efficacy by targeting EpCAM within the tumor microenvironment.

Area of Science:

  • Immunotherapy
  • Oncology
  • Biotechnology

Background:

  • CAR T cell therapy faces challenges in solid tumors due to tumor heterogeneity and antigen escape.
  • Tumor heterogeneity leads to diverse cancer cell populations that can evade CAR T cell targeting.
  • Antigen escape, where cancer cells downregulate or lose target antigens, limits CAR T cell effectiveness.

Purpose of the Study:

  • To engineer CAR T cells to secrete bispecific T cell engagers (BTCEs) targeting EpCAM.
  • To overcome antigen escape and tumor heterogeneity in solid tumors.
  • To restrict BTCE activity to the tumor microenvironment, limiting systemic toxicity.

Main Methods:

  • Engineering CAR T cells to secrete anti-EpCAM BTCEs.
  • Utilizing CAR T cells as carriers to localize BTCEs within the tumor microenvironment.
  • Preclinical testing of GPC3, DLL3, and HER2-targeted CARs secreting anti-EpCAM BTCEs.

Main Results:

  • Engineered CAR T cells successfully eradicated heterogeneous solid tumors of epithelial origins in preclinical models.
  • The strategy effectively prevented antigen escape by localized BTCE secretion.
  • CAR T cells secreting anti-EpCAM BTCEs demonstrated efficacy across various epithelial-derived carcinomas.

Conclusions:

  • CAR T cells engineered to secrete BTCEs offer a versatile strategy to enhance solid tumor immunotherapy.
  • This approach addresses key challenges of tumor heterogeneity and antigen escape.
  • The technology holds significant translational potential for improving cancer treatment outcomes.

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