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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.
Afiliação
  • Gu SS; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
  • Wang X; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA.
  • Hu X; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
  • Jiang P; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
  • Li Z; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
  • Traugh N; Harvard Medical School, Boston, MA, 02115, USA.
  • Bu X; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
  • Tang Q; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA.
  • Wang C; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
  • Zeng Z; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
  • Fu J; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA.
  • Meyer C; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
  • Zhang Y; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
  • Cejas P; Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200433, China.
  • Lim K; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
  • Wang J; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA.
  • Zhang W; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
  • Tokheim C; Harvard Medical School, Boston, MA, 02115, USA.
  • Sahu AD; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
  • Xing X; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
  • Kroger B; Harvard Medical School, Boston, MA, 02115, USA.
  • Ouyang Z; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
  • Long H; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA.
  • Freeman GJ; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
  • Brown M; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
  • Liu XS; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA.
Genome Biol ; 21(1): 263, 2020 10 15.
Article em En | MEDLINE | ID: mdl-33059736
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Variantes Farmacogenômicos / Inibidores de Checkpoint Imunológico / Neoplasias Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Genome Biol Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Variantes Farmacogenômicos / Inibidores de Checkpoint Imunológico / Neoplasias Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Genome Biol Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido