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Clonal tracing reveals diverse patterns of response to immune checkpoint blockade

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 fo...

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Autores principales: Gu, Shengqing Stan, Wang, Xiaoqing, Hu, Xihao, Jiang, Peng, Li, Ziyi, Traugh, Nicole, Bu, Xia, Tang, Qin, Wang, Chenfei, Zeng, Zexian, Fu, Jingxin, Meyer, Cliff, Zhang, Yi, Cejas, Paloma, Lim, Klothilda, Wang, Jin, Zhang, Wubing, Tokheim, Collin, Sahu, Avinash Das, Xing, Xiaofang, Kroger, Benjamin, Ouyang, Zhangyi, Long, Henry, Freeman, Gordon J., Brown, Myles, Liu, X. Shirley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7559192/
https://www.ncbi.nlm.nih.gov/pubmed/33059736
http://dx.doi.org/10.1186/s13059-020-02166-1
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author Gu, Shengqing Stan
Wang, Xiaoqing
Hu, Xihao
Jiang, Peng
Li, Ziyi
Traugh, Nicole
Bu, Xia
Tang, Qin
Wang, Chenfei
Zeng, Zexian
Fu, Jingxin
Meyer, Cliff
Zhang, Yi
Cejas, Paloma
Lim, Klothilda
Wang, Jin
Zhang, Wubing
Tokheim, Collin
Sahu, Avinash Das
Xing, Xiaofang
Kroger, Benjamin
Ouyang, Zhangyi
Long, Henry
Freeman, Gordon J.
Brown, Myles
Liu, X. Shirley
author_facet Gu, Shengqing Stan
Wang, Xiaoqing
Hu, Xihao
Jiang, Peng
Li, Ziyi
Traugh, Nicole
Bu, Xia
Tang, Qin
Wang, Chenfei
Zeng, Zexian
Fu, Jingxin
Meyer, Cliff
Zhang, Yi
Cejas, Paloma
Lim, Klothilda
Wang, Jin
Zhang, Wubing
Tokheim, Collin
Sahu, Avinash Das
Xing, Xiaofang
Kroger, Benjamin
Ouyang, Zhangyi
Long, Henry
Freeman, Gordon J.
Brown, Myles
Liu, X. Shirley
author_sort Gu, Shengqing Stan
collection PubMed
description 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.
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spelling pubmed-75591922020-10-15 Clonal tracing reveals diverse patterns of response to immune checkpoint blockade Gu, Shengqing Stan Wang, Xiaoqing Hu, Xihao Jiang, Peng Li, Ziyi Traugh, Nicole Bu, Xia Tang, Qin Wang, Chenfei Zeng, Zexian Fu, Jingxin Meyer, Cliff Zhang, Yi Cejas, Paloma Lim, Klothilda Wang, Jin Zhang, Wubing Tokheim, Collin Sahu, Avinash Das Xing, Xiaofang Kroger, Benjamin Ouyang, Zhangyi Long, Henry Freeman, Gordon J. Brown, Myles Liu, X. Shirley Genome Biol Research 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. BioMed Central 2020-10-15 /pmc/articles/PMC7559192/ /pubmed/33059736 http://dx.doi.org/10.1186/s13059-020-02166-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Gu, Shengqing Stan
Wang, Xiaoqing
Hu, Xihao
Jiang, Peng
Li, Ziyi
Traugh, Nicole
Bu, Xia
Tang, Qin
Wang, Chenfei
Zeng, Zexian
Fu, Jingxin
Meyer, Cliff
Zhang, Yi
Cejas, Paloma
Lim, Klothilda
Wang, Jin
Zhang, Wubing
Tokheim, Collin
Sahu, Avinash Das
Xing, Xiaofang
Kroger, Benjamin
Ouyang, Zhangyi
Long, Henry
Freeman, Gordon J.
Brown, Myles
Liu, X. Shirley
Clonal tracing reveals diverse patterns of response to immune checkpoint blockade
title Clonal tracing reveals diverse patterns of response to immune checkpoint blockade
title_full Clonal tracing reveals diverse patterns of response to immune checkpoint blockade
title_fullStr Clonal tracing reveals diverse patterns of response to immune checkpoint blockade
title_full_unstemmed Clonal tracing reveals diverse patterns of response to immune checkpoint blockade
title_short Clonal tracing reveals diverse patterns of response to immune checkpoint blockade
title_sort clonal tracing reveals diverse patterns of response to immune checkpoint blockade
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7559192/
https://www.ncbi.nlm.nih.gov/pubmed/33059736
http://dx.doi.org/10.1186/s13059-020-02166-1
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