Autologous humanized PDX modeling for immuno-oncology recapitulates the human tumor microenvironment

Author:

Chiorazzi MichaelORCID,Martinek Jan,Krasnick Bradley,Zheng Yunjiang,Robbins Keenan J,Qu Rihao,Kaufmann Gabriel,Skidmore Zachary,Henze Laura A,Brösecke Frederic,Adonyi Adam,Zhao Jun,Shan Liang,Sefik Esen,Mudd Jacqueline,Bi Ye,Goedegebuure S Peter,Griffith Malachi,Griffith ObiORCID,Oyedeji Abimbola,Fertuzinhos Sofia,Garcia-Milian Rolando,Boffa Daniel,Detterbeck Frank,Dhanasopon Andrew,Blasberg Justin,Judson Benjamin,Gettinger Scott,Politi Katerina,Kluger YuvalORCID,Palucka A Karolina,Fields Ryan,Flavell Richard AORCID

Abstract

AbstractInteractions between immune and tumor cells are critical to determining cancer progression and response. In addition, preclinical prediction of immune-related drug efficacy is limited by inter-species differences between human and mouse, as well as inter-person germline and somatic variation. Here we develop an autologous system that models the TME in individual patients. With patient-derived bone marrow, we engrafted a patient’s hematopoietic system in MISTRG6 mice followed by patient-derived xenograft (PDX) tissue, providing a genetically matched autologous model. We used this system to prospectively study tumor-immune interactions in solid tumor patients. Autologous PDX mice generated innate and adaptive immune populations; these cells populated the TME; and tumors from autologously engrafted mice grew larger than tumors from non-engrafted littermate controls. Single-cell transcriptomics revealed a prominent VEGF-A signature in TME myeloid cells, and inhibition of human VEGF-A abrogated enhanced growth, demonstrating the utility of the autologous PDX system for pre-clinical testing.

Publisher

Cold Spring Harbor Laboratory

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