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

Authors :
Michael Chiorazzi
Jan Martinek
Bradley Krasnick
Yunjiang Zheng
Keenan J Robbins
Rihao Qu
Gabriel Kaufmann
Zachary Skidmore
Laura A Henze
Frederic Brösecke
Adam Adonyi
Jun Zhao
Liang Shan
Esen Sefik
Jacqueline Mudd
Ye Bi
S Peter Goedegebuure
Malachi Griffith
Obi Griffith
Abimbola Oyedeji
Sofia Fertuzinhos
Rolando Garcia-Milian
Daniel Boffa
Frank Detterbeck
Andrew Dhanasopon
Justin Blasberg
Benjamin Judson
Scott Gettinger
Katerina Politi
Yuval Kluger
A Karolina Palucka
Ryan Fields
Richard A Flavell
Publication Year :
2022
Publisher :
Cold Spring Harbor Laboratory, 2022.

Abstract

Interactions 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.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........7990b29901a7642ec7a21029a2dca751
Full Text :
https://doi.org/10.1101/2022.08.19.503502