A diversity outbred F1 mouse model identifies host-intrinsic genetic regulators of response to immune checkpoint inhibitors

Immune checkpoint inhibitors (ICI) have improved outcomes for a variety of malignancies; however, many patients fail to benefit. While tumor-intrinsic mechanisms are likely involved in therapy resistance, it is unclear to what extent host genetic background influences response. To investigate this,...

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Main Authors: Justin B. Hackett, James E. Glassbrook, Maria C. Muñiz, Madeline Bross, Abigail Fielder, Gregory Dyson, Nasrin Movahhedin, Jennifer McCasland, Claire McCarthy-Leo, Heather M. Gibson
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:OncoImmunology
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/2162402X.2022.2064958
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author Justin B. Hackett
James E. Glassbrook
Maria C. Muñiz
Madeline Bross
Abigail Fielder
Gregory Dyson
Nasrin Movahhedin
Jennifer McCasland
Claire McCarthy-Leo
Heather M. Gibson
author_facet Justin B. Hackett
James E. Glassbrook
Maria C. Muñiz
Madeline Bross
Abigail Fielder
Gregory Dyson
Nasrin Movahhedin
Jennifer McCasland
Claire McCarthy-Leo
Heather M. Gibson
author_sort Justin B. Hackett
collection DOAJ
description Immune checkpoint inhibitors (ICI) have improved outcomes for a variety of malignancies; however, many patients fail to benefit. While tumor-intrinsic mechanisms are likely involved in therapy resistance, it is unclear to what extent host genetic background influences response. To investigate this, we utilized the Diversity Outbred (DO) and Collaborative Cross (CC) mouse models. DO mice are an outbred stock generated by crossbreeding eight inbred founder strains, and CC mice are recombinant inbred mice generated from the same eight founders. We generated 207 DOB6F1 mice representing 48 DO dams and demonstrated that these mice reliably accept the C57BL/6-syngeneic B16F0 tumor and that host genetic background influences response to ICI. Genetic linkage analysis from 142 mice identified multiple regions including one within chromosome 13 that associated with therapeutic response. We utilized 6 CC strains bearing the positive (NZO) or negative (C57BL/6) driver genotype in this locus. We found that 2/3 of predicted responder CCB6F1 crosses show reproducible ICI response. The chromosome 13 locus contains the murine prolactin family, which is a known immunomodulating cytokine associated with various autoimmune disorders. To directly test whether prolactin influences ICI response rates, we implanted inbred C57BL/6 mice with subcutaneous slow-release prolactin pellets to induce mild hyperprolactinemia. Prolactin augmented ICI response against B16F0, with increased CD8 infiltration and 5/8 mice exhibiting slowed tumor growth relative to controls. This study highlights the role of host genetics in ICI response and supports the use of F1 crosses in the DO and CC mouse populations as powerful cancer immunotherapy models.
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spelling doaj.art-c305df24d9bf42e991b7eaf907259bb52022-12-22T01:34:52ZengTaylor & Francis GroupOncoImmunology2162-402X2022-12-0111110.1080/2162402X.2022.2064958A diversity outbred F1 mouse model identifies host-intrinsic genetic regulators of response to immune checkpoint inhibitorsJustin B. Hackett0James E. Glassbrook1Maria C. Muñiz2Madeline Bross3Abigail Fielder4Gregory Dyson5Nasrin Movahhedin6Jennifer McCasland7Claire McCarthy-Leo8Heather M. Gibson9Department of Oncology, Karmanos Cancer Institute, Wayne State University, Detroit, MI, USADepartment of Oncology, Karmanos Cancer Institute, Wayne State University, Detroit, MI, USADepartment of Oncology, Karmanos Cancer Institute, Wayne State University, Detroit, MI, USADepartment of Oncology, Karmanos Cancer Institute, Wayne State University, Detroit, MI, USADepartment of Oncology, Karmanos Cancer Institute, Wayne State University, Detroit, MI, USADepartment of Oncology, Karmanos Cancer Institute, Wayne State University, Detroit, MI, USADepartment of Oncology, Karmanos Cancer Institute, Wayne State University, Detroit, MI, USADepartment of Oncology, Karmanos Cancer Institute, Wayne State University, Detroit, MI, USACenter for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, USADepartment of Oncology, Karmanos Cancer Institute, Wayne State University, Detroit, MI, USAImmune checkpoint inhibitors (ICI) have improved outcomes for a variety of malignancies; however, many patients fail to benefit. While tumor-intrinsic mechanisms are likely involved in therapy resistance, it is unclear to what extent host genetic background influences response. To investigate this, we utilized the Diversity Outbred (DO) and Collaborative Cross (CC) mouse models. DO mice are an outbred stock generated by crossbreeding eight inbred founder strains, and CC mice are recombinant inbred mice generated from the same eight founders. We generated 207 DOB6F1 mice representing 48 DO dams and demonstrated that these mice reliably accept the C57BL/6-syngeneic B16F0 tumor and that host genetic background influences response to ICI. Genetic linkage analysis from 142 mice identified multiple regions including one within chromosome 13 that associated with therapeutic response. We utilized 6 CC strains bearing the positive (NZO) or negative (C57BL/6) driver genotype in this locus. We found that 2/3 of predicted responder CCB6F1 crosses show reproducible ICI response. The chromosome 13 locus contains the murine prolactin family, which is a known immunomodulating cytokine associated with various autoimmune disorders. To directly test whether prolactin influences ICI response rates, we implanted inbred C57BL/6 mice with subcutaneous slow-release prolactin pellets to induce mild hyperprolactinemia. Prolactin augmented ICI response against B16F0, with increased CD8 infiltration and 5/8 mice exhibiting slowed tumor growth relative to controls. This study highlights the role of host genetics in ICI response and supports the use of F1 crosses in the DO and CC mouse populations as powerful cancer immunotherapy models.https://www.tandfonline.com/doi/10.1080/2162402X.2022.2064958Immune checkpoint inhibitorgenetic linkage analysisimmunotherapy resistancemelanomaprolactindiversity outbred
spellingShingle Justin B. Hackett
James E. Glassbrook
Maria C. Muñiz
Madeline Bross
Abigail Fielder
Gregory Dyson
Nasrin Movahhedin
Jennifer McCasland
Claire McCarthy-Leo
Heather M. Gibson
A diversity outbred F1 mouse model identifies host-intrinsic genetic regulators of response to immune checkpoint inhibitors
OncoImmunology
Immune checkpoint inhibitor
genetic linkage analysis
immunotherapy resistance
melanoma
prolactin
diversity outbred
title A diversity outbred F1 mouse model identifies host-intrinsic genetic regulators of response to immune checkpoint inhibitors
title_full A diversity outbred F1 mouse model identifies host-intrinsic genetic regulators of response to immune checkpoint inhibitors
title_fullStr A diversity outbred F1 mouse model identifies host-intrinsic genetic regulators of response to immune checkpoint inhibitors
title_full_unstemmed A diversity outbred F1 mouse model identifies host-intrinsic genetic regulators of response to immune checkpoint inhibitors
title_short A diversity outbred F1 mouse model identifies host-intrinsic genetic regulators of response to immune checkpoint inhibitors
title_sort diversity outbred f1 mouse model identifies host intrinsic genetic regulators of response to immune checkpoint inhibitors
topic Immune checkpoint inhibitor
genetic linkage analysis
immunotherapy resistance
melanoma
prolactin
diversity outbred
url https://www.tandfonline.com/doi/10.1080/2162402X.2022.2064958
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