Human tumor infiltrating lymphocytes cooperatively regulate prostate tumor growth in a humanized mouse model

Michael D Roth1, Airi Harui1

  • 1Division of Pulmonary & Critical Care, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095-1690 USA.

Abstract

Insights

This study developed a humanized mouse model to better understand tumor-infiltrating lymphocytes (TIL) in cancer. The model successfully recapitulated human TIL features, offering a more relevant preclinical platform for cancer immunotherapy research.

Area of Science:

  • Immunology
  • Oncology
  • Preclinical Models

Background:

  • Complex interactions between tumors, tumor-infiltrating lymphocytes (TIL), and the immune system are crucial in cancer response.
  • Conventional mouse models often fail to accurately predict human treatment efficacy.
  • There is a need for improved preclinical platforms to study and manipulate TIL.

Purpose of the Study:

  • To establish a humanized mouse model for studying human tumor-infiltrating lymphocytes (TIL).
  • To create a more effective preclinical platform for understanding and manipulating TIL in cancer.
  • To assess the interactions between human tumors and the immune system in vivo.

Main Methods:

  • Reconstituted NOD/SCID/IL-2Rγnull (NSG) mice with human peripheral blood lymphocytes (PBL) and dendritic cells (DC).
  • Simultaneously implanted human prostate cancer cells (PC3 line).
  • Analyzed tumor growth, splenocyte and TIL phenotype (flow cytometry, IHC), and serum cytokine/chemokine levels.

Main Results:

  • Established a humanized PBL-NSG model with reconstituted leukocytes and TIL accumulation.
  • TIL exhibited a unique effector memory phenotype, closely matching those from human prostate cancer.
  • Immune reconstitution slowed tumor growth, dependent on CD4+ T cell help, with distinct cytokine profiles observed.

Conclusions:

  • The huPBL-NSG model effectively recapitulates human TIL development and tumor-immune interactions.
  • This model allows for in-depth assessment of cancer-immune dynamics not feasible in humans.
  • The platform enables hypothesis testing and outcome monitoring for cancer therapies in a humanized system.