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Bone marrow infiltrated natural killer cells predicted the anti-leukemia activity of MCL1 or BCL2 inhibitors in acute myeloid leukemia

Acute myeloid leukemia (AML) is still incurable due to its heterogeneity and complexity of tumor microenvironment. It is imperative therefore to understand the molecular pathogenesis of AML and identify leukemia-associated biomarkers to formulate effective treatment strategies. Here, we systematical...

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Autores principales: Dai, Yu-Jun, He, Si-Yuan, Hu, Fang, Li, Xue-Ping, Zhang, Jian-Ming, Chen, Si-Liang, Zhang, Wei-Na, Sun, Hai-Min, Wang, Da-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7784307/
https://www.ncbi.nlm.nih.gov/pubmed/33402171
http://dx.doi.org/10.1186/s12943-020-01302-6
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author Dai, Yu-Jun
He, Si-Yuan
Hu, Fang
Li, Xue-Ping
Zhang, Jian-Ming
Chen, Si-Liang
Zhang, Wei-Na
Sun, Hai-Min
Wang, Da-Wei
author_facet Dai, Yu-Jun
He, Si-Yuan
Hu, Fang
Li, Xue-Ping
Zhang, Jian-Ming
Chen, Si-Liang
Zhang, Wei-Na
Sun, Hai-Min
Wang, Da-Wei
author_sort Dai, Yu-Jun
collection PubMed
description Acute myeloid leukemia (AML) is still incurable due to its heterogeneity and complexity of tumor microenvironment. It is imperative therefore to understand the molecular pathogenesis of AML and identify leukemia-associated biomarkers to formulate effective treatment strategies. Here, we systematically analyzed the clinical characters and natural killer (NK) cells portion in seventy newly-diagnosis (ND) AML patients. We found that the proportion of NK cells in the bone marrow of ND-AML patients could predict the prognosis of patients by analyzing the types and expression abundance of NK related ligands in tumor cells. Furthermore, MCL1 inhibitor but not BCL2 inhibitor combined with NK cell-based immunotherapy could effectively improve the therapeutic efficiency via inhibiting proliferation and inducing apoptosis of AML primary cells as well as cell lines in vitro. There results provide valuable insights that could help for exploring new therapeutic strategies for leukemia treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12943-020-01302-6.
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spelling pubmed-77843072021-01-14 Bone marrow infiltrated natural killer cells predicted the anti-leukemia activity of MCL1 or BCL2 inhibitors in acute myeloid leukemia Dai, Yu-Jun He, Si-Yuan Hu, Fang Li, Xue-Ping Zhang, Jian-Ming Chen, Si-Liang Zhang, Wei-Na Sun, Hai-Min Wang, Da-Wei Mol Cancer Letter to the Editor Acute myeloid leukemia (AML) is still incurable due to its heterogeneity and complexity of tumor microenvironment. It is imperative therefore to understand the molecular pathogenesis of AML and identify leukemia-associated biomarkers to formulate effective treatment strategies. Here, we systematically analyzed the clinical characters and natural killer (NK) cells portion in seventy newly-diagnosis (ND) AML patients. We found that the proportion of NK cells in the bone marrow of ND-AML patients could predict the prognosis of patients by analyzing the types and expression abundance of NK related ligands in tumor cells. Furthermore, MCL1 inhibitor but not BCL2 inhibitor combined with NK cell-based immunotherapy could effectively improve the therapeutic efficiency via inhibiting proliferation and inducing apoptosis of AML primary cells as well as cell lines in vitro. There results provide valuable insights that could help for exploring new therapeutic strategies for leukemia treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12943-020-01302-6. BioMed Central 2021-01-05 /pmc/articles/PMC7784307/ /pubmed/33402171 http://dx.doi.org/10.1186/s12943-020-01302-6 Text en © The Author(s) 2021 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 Letter to the Editor
Dai, Yu-Jun
He, Si-Yuan
Hu, Fang
Li, Xue-Ping
Zhang, Jian-Ming
Chen, Si-Liang
Zhang, Wei-Na
Sun, Hai-Min
Wang, Da-Wei
Bone marrow infiltrated natural killer cells predicted the anti-leukemia activity of MCL1 or BCL2 inhibitors in acute myeloid leukemia
title Bone marrow infiltrated natural killer cells predicted the anti-leukemia activity of MCL1 or BCL2 inhibitors in acute myeloid leukemia
title_full Bone marrow infiltrated natural killer cells predicted the anti-leukemia activity of MCL1 or BCL2 inhibitors in acute myeloid leukemia
title_fullStr Bone marrow infiltrated natural killer cells predicted the anti-leukemia activity of MCL1 or BCL2 inhibitors in acute myeloid leukemia
title_full_unstemmed Bone marrow infiltrated natural killer cells predicted the anti-leukemia activity of MCL1 or BCL2 inhibitors in acute myeloid leukemia
title_short Bone marrow infiltrated natural killer cells predicted the anti-leukemia activity of MCL1 or BCL2 inhibitors in acute myeloid leukemia
title_sort bone marrow infiltrated natural killer cells predicted the anti-leukemia activity of mcl1 or bcl2 inhibitors in acute myeloid leukemia
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7784307/
https://www.ncbi.nlm.nih.gov/pubmed/33402171
http://dx.doi.org/10.1186/s12943-020-01302-6
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