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Clonal tracing reveals diverse patterns of response to immune checkpoint blockade

Authors :
Shengqing Stan Gu
Xiaoqing Wang
Xihao Hu
Peng Jiang
Ziyi Li
Nicole Traugh
Xia Bu
Qin Tang
Chenfei Wang
Zexian Zeng
Jingxin Fu
Cliff Meyer
Yi Zhang
Paloma Cejas
Klothilda Lim
Jin Wang
Wubing Zhang
Collin Tokheim
Avinash Das Sahu
Xiaofang Xing
Benjamin Kroger
Zhangyi Ouyang
Henry Long
Gordon J. Freeman
Myles Brown
X. Shirley Liu
Source :
Genome Biology, Vol 21, Iss 1, Pp 1-28 (2020)
Publication Year :
2020
Publisher :
BMC, 2020.

Abstract

Abstract Background Immune checkpoint blockade (ICB) therapy has improved patient survival in a variety of cancers, but only a minority of cancer patients respond. Multiple studies have sought to identify general biomarkers of ICB response, but elucidating the molecular and cellular drivers of resistance for individual tumors remains challenging. We sought to determine whether a tumor with defined genetic background exhibits a stereotypic or heterogeneous response to ICB treatment. Results We establish a unique mouse system that utilizes clonal tracing and mathematical modeling to monitor the growth of each cancer clone, as well as the bulk tumor, in response to ICB. We find that tumors derived from the same clonal populations showed heterogeneous ICB response and diverse response patterns. Primary response is associated with higher immune infiltration and leads to enrichment of pre-existing ICB-resistant cancer clones. We further identify several cancer cell-intrinsic gene expression signatures associated with ICB resistance, including increased interferon response genes and glucocorticoid response genes. These findings are supported by clinical data from ICB treatment cohorts. Conclusions Our study demonstrates diverse response patterns from the same ancestor cancer cells in response to ICB. This suggests the value of monitoring clonal constitution and tumor microenvironment over time to optimize ICB response and to design new combination therapies. Furthermore, as ICB response may enrich for cancer cell-intrinsic resistance signatures, this can affect interpretations of tumor RNA-seq data for response-signature association studies.

Details

Language :
English
ISSN :
1474760X
Volume :
21
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Genome Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.b3244746e20a48e2bb9e322dbec655a3
Document Type :
article
Full Text :
https://doi.org/10.1186/s13059-020-02166-1