Analysis of single-cell sequencing results of an elderly patient with myeloid leukemia reveals high expression of multiple oncogenes in monocytes and hematopoietic stem cells

ABSTRACTObjective Older patients with acute myeloid leukemia (AML) face a higher risk of death. This study analyzed the gene sequencing results of an elderly AML patient to provide new ideas for treatment.Methods This study performed single-cell RNA sequencing (scRNA-seq) bioinformatics analysis of...

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Main Authors: Xiaoli Xu, Minjian Xiong, Haiyan Ye, Yonglei Qi, Ying Zhao
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Hematology
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/16078454.2023.2240129
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author Xiaoli Xu
Minjian Xiong
Haiyan Ye
Yonglei Qi
Ying Zhao
author_facet Xiaoli Xu
Minjian Xiong
Haiyan Ye
Yonglei Qi
Ying Zhao
author_sort Xiaoli Xu
collection DOAJ
description ABSTRACTObjective Older patients with acute myeloid leukemia (AML) face a higher risk of death. This study analyzed the gene sequencing results of an elderly AML patient to provide new ideas for treatment.Methods This study performed single-cell RNA sequencing (scRNA-seq) bioinformatics analysis of blood cells in the peripheral blood and bone marrow of a 64-year-old AML-M5 patient before chemotherapy. The differentially expressed genes (DEGs) were identified, and functional enrichment analyses were performed.Results A total of 7990 and 123 DEGs were identified in monocytes and hematopoietic stem cells (HSCs), respectively. Among the top 40 DEGs analyzed, MYB showed high expression in peripheral blood monocytes, while 13 other tumor-related genes exhibited high expression in monocytes in the bone marrow. Peripheral blood and bone marrow HSCs had 6 and 12 highly expressed tumor-related genes respectively, including MCL1, JUN, and JUNB. These genes may form a interconnected network contributing to the progression and heterogeneity of AML, which can have an impact on patient treatment and prognosis.Conclusions In conclusion, when treating elderly AML patients, it is important to consider their individual characteristics in order to optimize treatment strategies.
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spelling doaj.art-e554421ef09f4b819b7de5cf908b3d552023-08-03T14:46:27ZengTaylor & Francis GroupHematology1607-84542023-12-0128110.1080/16078454.2023.2240129Analysis of single-cell sequencing results of an elderly patient with myeloid leukemia reveals high expression of multiple oncogenes in monocytes and hematopoietic stem cellsXiaoli Xu0Minjian Xiong1Haiyan Ye2Yonglei Qi3Ying Zhao4Department of Hematology, First People’s Hospital of Foshan, Foshan, People’s Republic of ChinaThe Seventh Affiliated Hospital, Southern Medical University, Foshan, People’s Republic of ChinaDepartment of Hematology, First People’s Hospital of Foshan, Foshan, People’s Republic of ChinaDepartment of Hematology, First People’s Hospital of Foshan, Foshan, People’s Republic of ChinaDepartment of Hematology, First People’s Hospital of Foshan, Foshan, People’s Republic of ChinaABSTRACTObjective Older patients with acute myeloid leukemia (AML) face a higher risk of death. This study analyzed the gene sequencing results of an elderly AML patient to provide new ideas for treatment.Methods This study performed single-cell RNA sequencing (scRNA-seq) bioinformatics analysis of blood cells in the peripheral blood and bone marrow of a 64-year-old AML-M5 patient before chemotherapy. The differentially expressed genes (DEGs) were identified, and functional enrichment analyses were performed.Results A total of 7990 and 123 DEGs were identified in monocytes and hematopoietic stem cells (HSCs), respectively. Among the top 40 DEGs analyzed, MYB showed high expression in peripheral blood monocytes, while 13 other tumor-related genes exhibited high expression in monocytes in the bone marrow. Peripheral blood and bone marrow HSCs had 6 and 12 highly expressed tumor-related genes respectively, including MCL1, JUN, and JUNB. These genes may form a interconnected network contributing to the progression and heterogeneity of AML, which can have an impact on patient treatment and prognosis.Conclusions In conclusion, when treating elderly AML patients, it is important to consider their individual characteristics in order to optimize treatment strategies.https://www.tandfonline.com/doi/10.1080/16078454.2023.2240129Acute myeloid leukemia (AML)precision medicinesingle-cell RNA sequencing (scRNA-seq)differentially expressed genes (DEGs)
spellingShingle Xiaoli Xu
Minjian Xiong
Haiyan Ye
Yonglei Qi
Ying Zhao
Analysis of single-cell sequencing results of an elderly patient with myeloid leukemia reveals high expression of multiple oncogenes in monocytes and hematopoietic stem cells
Hematology
Acute myeloid leukemia (AML)
precision medicine
single-cell RNA sequencing (scRNA-seq)
differentially expressed genes (DEGs)
title Analysis of single-cell sequencing results of an elderly patient with myeloid leukemia reveals high expression of multiple oncogenes in monocytes and hematopoietic stem cells
title_full Analysis of single-cell sequencing results of an elderly patient with myeloid leukemia reveals high expression of multiple oncogenes in monocytes and hematopoietic stem cells
title_fullStr Analysis of single-cell sequencing results of an elderly patient with myeloid leukemia reveals high expression of multiple oncogenes in monocytes and hematopoietic stem cells
title_full_unstemmed Analysis of single-cell sequencing results of an elderly patient with myeloid leukemia reveals high expression of multiple oncogenes in monocytes and hematopoietic stem cells
title_short Analysis of single-cell sequencing results of an elderly patient with myeloid leukemia reveals high expression of multiple oncogenes in monocytes and hematopoietic stem cells
title_sort analysis of single cell sequencing results of an elderly patient with myeloid leukemia reveals high expression of multiple oncogenes in monocytes and hematopoietic stem cells
topic Acute myeloid leukemia (AML)
precision medicine
single-cell RNA sequencing (scRNA-seq)
differentially expressed genes (DEGs)
url https://www.tandfonline.com/doi/10.1080/16078454.2023.2240129
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