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FLT3LG and IFITM3P6 consolidate T cell activity in the bone marrow microenvironment and are prognostic factors in acute myelocytic leukemia

Acute myelocytic leukemia (AML) is a malignancy of the stem cell precursors of the myeloid lineage. CD4+ and CD8+ T cells play pivotal roles in influencing AML progression but are functionally suppressed in the bone marrow microenvironment. We aimed to find hub genes related to T cell exhaustion and...

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Autores principales: Chen, Haiyan, Wu, Meng, Xia, Hongping, Du, Songjie, Zhou, Guoren, Long, Guangfeng, Zhu, Yanan, Huang, Xu, Yang, Daheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445253/
https://www.ncbi.nlm.nih.gov/pubmed/36081495
http://dx.doi.org/10.3389/fimmu.2022.980911
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author Chen, Haiyan
Wu, Meng
Xia, Hongping
Du, Songjie
Zhou, Guoren
Long, Guangfeng
Zhu, Yanan
Huang, Xu
Yang, Daheng
author_facet Chen, Haiyan
Wu, Meng
Xia, Hongping
Du, Songjie
Zhou, Guoren
Long, Guangfeng
Zhu, Yanan
Huang, Xu
Yang, Daheng
author_sort Chen, Haiyan
collection PubMed
description Acute myelocytic leukemia (AML) is a malignancy of the stem cell precursors of the myeloid lineage. CD4+ and CD8+ T cells play pivotal roles in influencing AML progression but are functionally suppressed in the bone marrow microenvironment. We aimed to find hub genes related to T cell exhaustion and suppression, thereby providing evidence for immunotherapy. In this study, gene transcriptome expression data from TCGA and TARGET databases were utilized to find key genes. Firstly, CIBERSORT immune cell infiltration algorithm and WGCNA method were used to identify CD4+ and CD8+ T cells-related genes. Univariate and multivariate cox regression analyses were then introduced to construct the overall survival prognosis model and included hub genes. The ESTIMATE and ssGSEA scoring methods were used to analyze the correlation between the hub genes and immune activity. Single-cell transcriptome analysis was applied to detect the immune cells expressing hub genes, hence, to detect exact mechanisms. Consequently, FLT3LG and IFITM3P6 were determined to be positively correlated with patients’ overall survival and microenvironment immune activity. Further study suggested FLT3-FLT3LG and IFITM3P6-miR-6748-3p-CBX7 signaling axes were involved in CD4+ and CD8+ T cells activation. This may be one of the mechanisms of T cells suppression in AML.
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spelling pubmed-94452532022-09-07 FLT3LG and IFITM3P6 consolidate T cell activity in the bone marrow microenvironment and are prognostic factors in acute myelocytic leukemia Chen, Haiyan Wu, Meng Xia, Hongping Du, Songjie Zhou, Guoren Long, Guangfeng Zhu, Yanan Huang, Xu Yang, Daheng Front Immunol Immunology Acute myelocytic leukemia (AML) is a malignancy of the stem cell precursors of the myeloid lineage. CD4+ and CD8+ T cells play pivotal roles in influencing AML progression but are functionally suppressed in the bone marrow microenvironment. We aimed to find hub genes related to T cell exhaustion and suppression, thereby providing evidence for immunotherapy. In this study, gene transcriptome expression data from TCGA and TARGET databases were utilized to find key genes. Firstly, CIBERSORT immune cell infiltration algorithm and WGCNA method were used to identify CD4+ and CD8+ T cells-related genes. Univariate and multivariate cox regression analyses were then introduced to construct the overall survival prognosis model and included hub genes. The ESTIMATE and ssGSEA scoring methods were used to analyze the correlation between the hub genes and immune activity. Single-cell transcriptome analysis was applied to detect the immune cells expressing hub genes, hence, to detect exact mechanisms. Consequently, FLT3LG and IFITM3P6 were determined to be positively correlated with patients’ overall survival and microenvironment immune activity. Further study suggested FLT3-FLT3LG and IFITM3P6-miR-6748-3p-CBX7 signaling axes were involved in CD4+ and CD8+ T cells activation. This may be one of the mechanisms of T cells suppression in AML. Frontiers Media S.A. 2022-08-23 /pmc/articles/PMC9445253/ /pubmed/36081495 http://dx.doi.org/10.3389/fimmu.2022.980911 Text en Copyright © 2022 Chen, Wu, Xia, Du, Zhou, Long, Zhu, Huang and Yang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Chen, Haiyan
Wu, Meng
Xia, Hongping
Du, Songjie
Zhou, Guoren
Long, Guangfeng
Zhu, Yanan
Huang, Xu
Yang, Daheng
FLT3LG and IFITM3P6 consolidate T cell activity in the bone marrow microenvironment and are prognostic factors in acute myelocytic leukemia
title FLT3LG and IFITM3P6 consolidate T cell activity in the bone marrow microenvironment and are prognostic factors in acute myelocytic leukemia
title_full FLT3LG and IFITM3P6 consolidate T cell activity in the bone marrow microenvironment and are prognostic factors in acute myelocytic leukemia
title_fullStr FLT3LG and IFITM3P6 consolidate T cell activity in the bone marrow microenvironment and are prognostic factors in acute myelocytic leukemia
title_full_unstemmed FLT3LG and IFITM3P6 consolidate T cell activity in the bone marrow microenvironment and are prognostic factors in acute myelocytic leukemia
title_short FLT3LG and IFITM3P6 consolidate T cell activity in the bone marrow microenvironment and are prognostic factors in acute myelocytic leukemia
title_sort flt3lg and ifitm3p6 consolidate t cell activity in the bone marrow microenvironment and are prognostic factors in acute myelocytic leukemia
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445253/
https://www.ncbi.nlm.nih.gov/pubmed/36081495
http://dx.doi.org/10.3389/fimmu.2022.980911
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