A novel humanized immune stroma PDX cancer model for therapeutic studies

Dongli Yang & Ronald J. Buckanovich et al. · 2026-03-24

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Researchers developed a new cancer model that combines human immune cells with tumor tissue, creating a more realistic testing environment for potential treatments. This could help predict which therapies will work for individual patients.

Abstract

Standard preclinical human tumor models lack a human tumor stroma. However, as stroma contributes to therapeutic resistance, the lack of human stroma may make current models less stringent for testing new therapies. To address this, using patient-derived tumor cells, patient-derived cancer-associated mesenchymal stem/progenitor cells, and human endothelial cells, we created a human stroma-patient-derived xenograft (HS-PDX) tumor model. HS-PDX, compared to the standard PDX model, demonstrates greater resistance to targeted therapy and chemotherapy and better reflect patient response to therapy. Furthermore, HS-PDX can be grown in mice with humanized bone marrow to create humanized immune stroma patient-derived xenograft (HIS-PDX) models. The HIS-PDX model contains human connective tissues, vascular and immune cell infiltrates. RNA sequencing analysis demonstrated a 94–96% correlation with primary human tumor. Using this model, we demonstrate the impact of human tumor stroma on recruitment of TAMs and tumor immune exclusion to impact to response to immunologic therapy. We show an immunosuppressive role for human tumor stroma and that this model can be used to identify immunotherapeutic combinations to overcome stroma-mediated immunosuppression. Combined, our data confirm a critical role for human stroma in therapeutic response and indicate that HIS-PDX can be an important tool for preclinical drug testing.

Authors
Dongli Yang, Ian Beddows, Huijuan Tang, Shoumei Bai, Sandra Cascio, Stacy C. McGonigal, Benjamin K. Johnson, John J. Powers, Rajesh Acharya, Riyue Bao, Tullia C. Bruno, T. Rinda Soong, Jose R. Conejo-Garcia, Hui Shen, Moses T. Bility, Ronald J. Buckanovich
Funding

National Cancer Institute Grants

5R01CA211913 and 5R01CA218026

NCI NIH HHS

P50CA272218

National Cancer Institute

P50CA272218