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Adaptive immunity-related gene expression profile is correlated with clinical phenotype in patients with acute myeloid leukemia

BACKGROUND: Acute myeloid leukemia (AML) is a common and lethal hematopoietic malignancy that is highly dependent on the immune microenvironment. However, light has yet to be shed on the landscape of adaptive immunity-related genes. This work aimed to uncover the novel molecular events in AML and po...

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Autores principales: Chen, Peng, Liu, Yi, Zhang, Rui, Wang, Haitao, Zhang, Juan, Guo, Meng, Du, Zhenlan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263877/
https://www.ncbi.nlm.nih.gov/pubmed/34350254
http://dx.doi.org/10.21037/atm-21-2720
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author Chen, Peng
Liu, Yi
Zhang, Rui
Wang, Haitao
Zhang, Juan
Guo, Meng
Du, Zhenlan
author_facet Chen, Peng
Liu, Yi
Zhang, Rui
Wang, Haitao
Zhang, Juan
Guo, Meng
Du, Zhenlan
author_sort Chen, Peng
collection PubMed
description BACKGROUND: Acute myeloid leukemia (AML) is a common and lethal hematopoietic malignancy that is highly dependent on the immune microenvironment. However, light has yet to be shed on the landscape of adaptive immunity-related genes. This work aimed to uncover the novel molecular events in AML and potential therapeutic strategies for AML treatment. METHODS: For the current research, the transcriptional information of 732 genes that participate in adaptive immunity was collected from 173 patients with AML, and the patients were grouped into different cohorts based on the different expression patterns. The correlations between gene expression and clinical characteristics, including prognosis, were studied. RESULTS: According to the notably different expressions of adaptive immunity-related genes, the 173 patients were divided into 2 clusters and 3 subclusters. No significant differences in overall survival (OS) or progression-free survival (PFS) were detected between the clusters or subclusters. There were obvious discrepancies found in age, peripheral blood (PB) blast percentage, and French-American-British (FAB) classification between each cluster or subcluster. The patients in cluster 1 were older and more of them had M5 type; the patients in cluster 2 were younger and more of them had M2 type. Further, 81 genes were significantly correlated with age and 101 genes were significantly correlated with PB blast percentage. Comparison of the prognosis between each FAB type revealed that patients with M3 type displayed the most favorable OS and PFS. Among the differentially expressed genes (DEGs), CLEC2B expression was much lower in M2 patients than in patients with other types (P<0.001), and its high expression indicated a worse outcome (12.4 vs. 46.5 months of OS). CONCLUSIONS: This study has uncovered the expression profile of adaptive immunity-related genes in AML. The different gene expression patterns are not associated with survival, but are significantly correlated the FAB types. CLEC2B expression is low in patients with M2 type and is negatively correlated with prognosis, thus revealing a potential therapeutic target for AML.
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spelling pubmed-82638772021-08-03 Adaptive immunity-related gene expression profile is correlated with clinical phenotype in patients with acute myeloid leukemia Chen, Peng Liu, Yi Zhang, Rui Wang, Haitao Zhang, Juan Guo, Meng Du, Zhenlan Ann Transl Med Original Article BACKGROUND: Acute myeloid leukemia (AML) is a common and lethal hematopoietic malignancy that is highly dependent on the immune microenvironment. However, light has yet to be shed on the landscape of adaptive immunity-related genes. This work aimed to uncover the novel molecular events in AML and potential therapeutic strategies for AML treatment. METHODS: For the current research, the transcriptional information of 732 genes that participate in adaptive immunity was collected from 173 patients with AML, and the patients were grouped into different cohorts based on the different expression patterns. The correlations between gene expression and clinical characteristics, including prognosis, were studied. RESULTS: According to the notably different expressions of adaptive immunity-related genes, the 173 patients were divided into 2 clusters and 3 subclusters. No significant differences in overall survival (OS) or progression-free survival (PFS) were detected between the clusters or subclusters. There were obvious discrepancies found in age, peripheral blood (PB) blast percentage, and French-American-British (FAB) classification between each cluster or subcluster. The patients in cluster 1 were older and more of them had M5 type; the patients in cluster 2 were younger and more of them had M2 type. Further, 81 genes were significantly correlated with age and 101 genes were significantly correlated with PB blast percentage. Comparison of the prognosis between each FAB type revealed that patients with M3 type displayed the most favorable OS and PFS. Among the differentially expressed genes (DEGs), CLEC2B expression was much lower in M2 patients than in patients with other types (P<0.001), and its high expression indicated a worse outcome (12.4 vs. 46.5 months of OS). CONCLUSIONS: This study has uncovered the expression profile of adaptive immunity-related genes in AML. The different gene expression patterns are not associated with survival, but are significantly correlated the FAB types. CLEC2B expression is low in patients with M2 type and is negatively correlated with prognosis, thus revealing a potential therapeutic target for AML. AME Publishing Company 2021-06 /pmc/articles/PMC8263877/ /pubmed/34350254 http://dx.doi.org/10.21037/atm-21-2720 Text en 2021 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Chen, Peng
Liu, Yi
Zhang, Rui
Wang, Haitao
Zhang, Juan
Guo, Meng
Du, Zhenlan
Adaptive immunity-related gene expression profile is correlated with clinical phenotype in patients with acute myeloid leukemia
title Adaptive immunity-related gene expression profile is correlated with clinical phenotype in patients with acute myeloid leukemia
title_full Adaptive immunity-related gene expression profile is correlated with clinical phenotype in patients with acute myeloid leukemia
title_fullStr Adaptive immunity-related gene expression profile is correlated with clinical phenotype in patients with acute myeloid leukemia
title_full_unstemmed Adaptive immunity-related gene expression profile is correlated with clinical phenotype in patients with acute myeloid leukemia
title_short Adaptive immunity-related gene expression profile is correlated with clinical phenotype in patients with acute myeloid leukemia
title_sort adaptive immunity-related gene expression profile is correlated with clinical phenotype in patients with acute myeloid leukemia
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263877/
https://www.ncbi.nlm.nih.gov/pubmed/34350254
http://dx.doi.org/10.21037/atm-21-2720
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