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Transcriptome and Regulatory Network Analyses of CD19-CAR-T Immunotherapy for B-ALL

Chimeric antigen receptor (CAR) T cell therapy has exhibited dramatic anti-tumor efficacy in clinical trials. In this study, we reported the transcriptome profiles of bone marrow cells in four B cell acute lymphoblastic leukemia (B-ALL) patients before and after CD19-specific CAR-T therapy. CD19-CAR...

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Detalles Bibliográficos
Autores principales: Zhang, Qiong, Hu, Hui, Chen, Si-Yi, Liu, Chun-Jie, Hu, Fei-Fei, Yu, Jianming, Wu, Yaohui, Guo, An-Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6620363/
https://www.ncbi.nlm.nih.gov/pubmed/31201998
http://dx.doi.org/10.1016/j.gpb.2018.12.008
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author Zhang, Qiong
Hu, Hui
Chen, Si-Yi
Liu, Chun-Jie
Hu, Fei-Fei
Yu, Jianming
Wu, Yaohui
Guo, An-Yuan
author_facet Zhang, Qiong
Hu, Hui
Chen, Si-Yi
Liu, Chun-Jie
Hu, Fei-Fei
Yu, Jianming
Wu, Yaohui
Guo, An-Yuan
author_sort Zhang, Qiong
collection PubMed
description Chimeric antigen receptor (CAR) T cell therapy has exhibited dramatic anti-tumor efficacy in clinical trials. In this study, we reported the transcriptome profiles of bone marrow cells in four B cell acute lymphoblastic leukemia (B-ALL) patients before and after CD19-specific CAR-T therapy. CD19-CAR-T therapy remarkably reduced the number of leukemia cells, and three patients achieved bone marrow remission (minimal residual disease negative). The efficacy of CD19-CAR-T therapy on B-ALL was positively correlated with the abundance of CAR and immune cell subpopulations, e.g., CD8(+) T cells and natural killer (NK) cells, in the bone marrow. Additionally, CD19-CAR-T therapy mainly influenced the expression of genes linked to cell cycle and immune response pathways, including the NK cell mediated cytotoxicity and NOD-like receptor signaling pathways. The regulatory network analyses revealed that microRNAs (e.g., miR-148a-3p and miR-375), acting as oncogenes or tumor suppressors, could regulate the crosstalk between the genes encoding transcription factors (TFs; e.g., JUN and FOS) and histones (e.g., HIST1H4A and HIST2H4A) involved in CD19-CAR-T therapy. Furthermore, many long non-coding RNAs showed a high degree of co-expression with TFs or histones (e.g., FOS and HIST1H4B) and were associated with immune processes. These transcriptome analyses provided important clues for further understanding the gene expression and related mechanisms underlying the efficacy of CAR-T immunotherapy.
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spelling pubmed-66203632019-07-22 Transcriptome and Regulatory Network Analyses of CD19-CAR-T Immunotherapy for B-ALL Zhang, Qiong Hu, Hui Chen, Si-Yi Liu, Chun-Jie Hu, Fei-Fei Yu, Jianming Wu, Yaohui Guo, An-Yuan Genomics Proteomics Bioinformatics Letter Chimeric antigen receptor (CAR) T cell therapy has exhibited dramatic anti-tumor efficacy in clinical trials. In this study, we reported the transcriptome profiles of bone marrow cells in four B cell acute lymphoblastic leukemia (B-ALL) patients before and after CD19-specific CAR-T therapy. CD19-CAR-T therapy remarkably reduced the number of leukemia cells, and three patients achieved bone marrow remission (minimal residual disease negative). The efficacy of CD19-CAR-T therapy on B-ALL was positively correlated with the abundance of CAR and immune cell subpopulations, e.g., CD8(+) T cells and natural killer (NK) cells, in the bone marrow. Additionally, CD19-CAR-T therapy mainly influenced the expression of genes linked to cell cycle and immune response pathways, including the NK cell mediated cytotoxicity and NOD-like receptor signaling pathways. The regulatory network analyses revealed that microRNAs (e.g., miR-148a-3p and miR-375), acting as oncogenes or tumor suppressors, could regulate the crosstalk between the genes encoding transcription factors (TFs; e.g., JUN and FOS) and histones (e.g., HIST1H4A and HIST2H4A) involved in CD19-CAR-T therapy. Furthermore, many long non-coding RNAs showed a high degree of co-expression with TFs or histones (e.g., FOS and HIST1H4B) and were associated with immune processes. These transcriptome analyses provided important clues for further understanding the gene expression and related mechanisms underlying the efficacy of CAR-T immunotherapy. Elsevier 2019-04 2019-06-13 /pmc/articles/PMC6620363/ /pubmed/31201998 http://dx.doi.org/10.1016/j.gpb.2018.12.008 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Letter
Zhang, Qiong
Hu, Hui
Chen, Si-Yi
Liu, Chun-Jie
Hu, Fei-Fei
Yu, Jianming
Wu, Yaohui
Guo, An-Yuan
Transcriptome and Regulatory Network Analyses of CD19-CAR-T Immunotherapy for B-ALL
title Transcriptome and Regulatory Network Analyses of CD19-CAR-T Immunotherapy for B-ALL
title_full Transcriptome and Regulatory Network Analyses of CD19-CAR-T Immunotherapy for B-ALL
title_fullStr Transcriptome and Regulatory Network Analyses of CD19-CAR-T Immunotherapy for B-ALL
title_full_unstemmed Transcriptome and Regulatory Network Analyses of CD19-CAR-T Immunotherapy for B-ALL
title_short Transcriptome and Regulatory Network Analyses of CD19-CAR-T Immunotherapy for B-ALL
title_sort transcriptome and regulatory network analyses of cd19-car-t immunotherapy for b-all
topic Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6620363/
https://www.ncbi.nlm.nih.gov/pubmed/31201998
http://dx.doi.org/10.1016/j.gpb.2018.12.008
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