Identification of a novel monocyte/macrophage-related gene signature for predicting survival and immune response in acute myeloid leukemia

Acute myeloid leukemia (AML) is a heterogeneous hematological tumor with poor immunotherapy effect. This study was to develop a monocyte/macrophage-related prognostic risk score (MMrisk) and identify new therapeutic biomarkers for AML. We utilized differentially expressed genes (DEGs) in combination...

Full description

Saved in:
Bibliographic Details
Published in:Scientific reports 2024-06, Vol.14 (1), p.14012-14
Main Authors: Zhan, Yun, Ma, Sixing, Zhang, Tianzhuo, Zhang, Luxin, Zhao, Peng, Yang, Xueying, Liu, Min, Cheng, Weiwei, Li, Ya, Wang, Jishi
Format: Article
Language:English
Subjects:
631/67/1857
631/67/68
Acute myeloid leukemia
AML
Biomarkers
Biomarkers, Tumor - genetics
CD4 antigen
CTLA-4 protein
Female
Gene Expression Profiling
Gene Expression Regulation, Leukemic
Humanities and Social Sciences
Humans
Immune checkpoint
Immune response
Immunology
Immunosuppressive agents
Immunotherapy
Immunotherapy - methods
Leukemia
Leukemia, Myeloid, Acute - genetics
Leukemia, Myeloid, Acute - immunology
Leukemia, Myeloid, Acute - mortality
Lymphocytes B
Macrophages
Macrophages - immunology
Macrophages - metabolism
Male
Mast cells
Memory cells
Middle Aged
Monocyte/macrophage
Monocytes
Monocytes - immunology
Monocytes - metabolism
multidisciplinary
PD-1 protein
Plasma cells
Prognosis
Regression analysis
Science
Science (multidisciplinary)
Sensitivity analysis
Transcriptome
Tumor immune microenvironment
Tumors
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-d379t-be5ec369c333d2ccd0626e20c736e4d38958538a5351ee64b686f941ee0138483
container_end_page 14
container_issue 1
container_start_page 14012
container_title Scientific reports
container_volume 14
creator Zhan, Yun
Ma, Sixing
Zhang, Tianzhuo
Zhang, Luxin
Zhao, Peng
Yang, Xueying
Liu, Min
Cheng, Weiwei
Li, Ya
Wang, Jishi
description Acute myeloid leukemia (AML) is a heterogeneous hematological tumor with poor immunotherapy effect. This study was to develop a monocyte/macrophage-related prognostic risk score (MMrisk) and identify new therapeutic biomarkers for AML. We utilized differentially expressed genes (DEGs) in combination with single-cell RNA sequencing to identify monocyte/macrophage-related genes (MMGs). Eight genes were selected for the construction of a MMrisk model using univariate Cox regression analysis and LASSO regression analysis. We then validated the MMrisk on two GEO datasets. Lastly, we investigated the immunologic characteristics and advantages of immunotherapy and potential targeted drugs for MMrisk groups. Our study identified that the MMrisk is composed of eight MMGs, including HOPX, CSTB, MAP3K1, LGALS1, CFD, MXD1, CASP1 and BCL2A1. The low MMrisk group survived longer than high MMrisk group (P 
doi_str_mv 10.1038/s41598-024-64567-7
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_0376614ccec0454ebe0d0e14944d1450</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_0376614ccec0454ebe0d0e14944d1450</doaj_id><sourcerecordid>3070797325</sourcerecordid><originalsourceid>FETCH-LOGICAL-d379t-be5ec369c333d2ccd0626e20c736e4d38958538a5351ee64b686f941ee0138483</originalsourceid><addsrcrecordid>eNpdks-OFCEQhztG427WfQEPhsSLl3aBAro5GbPxzySbeNEzYaC6l7EbRuieZF7BpxZ3Vt2VC4T68qUofk3zktG3jEJ_VQSTum8pF60SUnVt96Q551TIlgPnTx-cz5rLUna0Lsm1YPp5cwZ9rykIdd783HiMSxiCs0tIkaSBWBLTAScyp5jcccGr2bqc9rd2xDbjZBf0ZMSIpIQx2mXNSIaUyT6jD24JcSRlzYdwsBOx0ZMwz2uFM5Z9igVJiMS6dUEyH3FKwZMJ1-84B_uieTbYqeDl_X7RfPv44ev15_bmy6fN9fub1kOnl3aLEh0o7QDAc-c8VVwhp64DhcJDr2UvobcSJENUYqt6NdR3I1IGvejhotmcvD7ZndnnMNt8NMkGc3eR8mhsXoKb0FDolGLCOXR1mgK3SD1FJrQQnglJq-vdybVftzN6V2eZ7fRI-rgSw60Z08EwxmqjAqrhzb0hpx8rlsXMoTicJhsxrcUA7WinO-Cyoq__Q3dpzbHOqlJKg-adEJV69bClv738-fMKwAkotRRHzP80jJrf4TKncJkaLnMXLtPBL5nhwWc</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3069392744</pqid></control><display><type>article</type><title>Identification of a novel monocyte/macrophage-related gene signature for predicting survival and immune response in acute myeloid leukemia</title><source>Publicly Available Content Database</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Springer Nature - nature.com Journals - Fully Open Access</source><creator>Zhan, Yun ; Ma, Sixing ; Zhang, Tianzhuo ; Zhang, Luxin ; Zhao, Peng ; Yang, Xueying ; Liu, Min ; Cheng, Weiwei ; Li, Ya ; Wang, Jishi</creator><creatorcontrib>Zhan, Yun ; Ma, Sixing ; Zhang, Tianzhuo ; Zhang, Luxin ; Zhao, Peng ; Yang, Xueying ; Liu, Min ; Cheng, Weiwei ; Li, Ya ; Wang, Jishi</creatorcontrib><description>Acute myeloid leukemia (AML) is a heterogeneous hematological tumor with poor immunotherapy effect. This study was to develop a monocyte/macrophage-related prognostic risk score (MMrisk) and identify new therapeutic biomarkers for AML. We utilized differentially expressed genes (DEGs) in combination with single-cell RNA sequencing to identify monocyte/macrophage-related genes (MMGs). Eight genes were selected for the construction of a MMrisk model using univariate Cox regression analysis and LASSO regression analysis. We then validated the MMrisk on two GEO datasets. Lastly, we investigated the immunologic characteristics and advantages of immunotherapy and potential targeted drugs for MMrisk groups. Our study identified that the MMrisk is composed of eight MMGs, including HOPX, CSTB, MAP3K1, LGALS1, CFD, MXD1, CASP1 and BCL2A1. The low MMrisk group survived longer than high MMrisk group (P &lt; 0.001). The high MMrisk group was positively correlated with B cells, plasma cells, CD4 memory cells, Mast cells, CAFs, monocytes, M2 macrophages, Endothelial, tumor mutation, and most immune checkpoints (PD1, Tim-3, CTLA4, LAG3). Furthermore, drug sensitivity analysis showed that AZD.2281, Axitinib, AUY922, ABT.888, and ATRA were effective in high-risk MM patients. Our research shows that MMrisk is a potential biomarker which is helpful to identify the molecular characteristics of AML immunology.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-024-64567-7</identifier><identifier>PMID: 38890346</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/67/1857 ; 631/67/68 ; Acute myeloid leukemia ; AML ; Biomarkers ; Biomarkers, Tumor - genetics ; CD4 antigen ; CTLA-4 protein ; Female ; Gene Expression Profiling ; Gene Expression Regulation, Leukemic ; Humanities and Social Sciences ; Humans ; Immune checkpoint ; Immune response ; Immunology ; Immunosuppressive agents ; Immunotherapy ; Immunotherapy - methods ; Leukemia ; Leukemia, Myeloid, Acute - genetics ; Leukemia, Myeloid, Acute - immunology ; Leukemia, Myeloid, Acute - mortality ; Lymphocytes B ; Macrophages ; Macrophages - immunology ; Macrophages - metabolism ; Male ; Mast cells ; Memory cells ; Middle Aged ; Monocyte/macrophage ; Monocytes ; Monocytes - immunology ; Monocytes - metabolism ; multidisciplinary ; PD-1 protein ; Plasma cells ; Prognosis ; Regression analysis ; Science ; Science (multidisciplinary) ; Sensitivity analysis ; Transcriptome ; Tumor immune microenvironment ; Tumors</subject><ispartof>Scientific reports, 2024-06, Vol.14 (1), p.14012-14</ispartof><rights>The Author(s) 2024</rights><rights>2024. The Author(s).</rights><rights>The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-d379t-be5ec369c333d2ccd0626e20c736e4d38958538a5351ee64b686f941ee0138483</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3069392744/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3069392744?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38890346$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhan, Yun</creatorcontrib><creatorcontrib>Ma, Sixing</creatorcontrib><creatorcontrib>Zhang, Tianzhuo</creatorcontrib><creatorcontrib>Zhang, Luxin</creatorcontrib><creatorcontrib>Zhao, Peng</creatorcontrib><creatorcontrib>Yang, Xueying</creatorcontrib><creatorcontrib>Liu, Min</creatorcontrib><creatorcontrib>Cheng, Weiwei</creatorcontrib><creatorcontrib>Li, Ya</creatorcontrib><creatorcontrib>Wang, Jishi</creatorcontrib><title>Identification of a novel monocyte/macrophage-related gene signature for predicting survival and immune response in acute myeloid leukemia</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Acute myeloid leukemia (AML) is a heterogeneous hematological tumor with poor immunotherapy effect. This study was to develop a monocyte/macrophage-related prognostic risk score (MMrisk) and identify new therapeutic biomarkers for AML. We utilized differentially expressed genes (DEGs) in combination with single-cell RNA sequencing to identify monocyte/macrophage-related genes (MMGs). Eight genes were selected for the construction of a MMrisk model using univariate Cox regression analysis and LASSO regression analysis. We then validated the MMrisk on two GEO datasets. Lastly, we investigated the immunologic characteristics and advantages of immunotherapy and potential targeted drugs for MMrisk groups. Our study identified that the MMrisk is composed of eight MMGs, including HOPX, CSTB, MAP3K1, LGALS1, CFD, MXD1, CASP1 and BCL2A1. The low MMrisk group survived longer than high MMrisk group (P &lt; 0.001). The high MMrisk group was positively correlated with B cells, plasma cells, CD4 memory cells, Mast cells, CAFs, monocytes, M2 macrophages, Endothelial, tumor mutation, and most immune checkpoints (PD1, Tim-3, CTLA4, LAG3). Furthermore, drug sensitivity analysis showed that AZD.2281, Axitinib, AUY922, ABT.888, and ATRA were effective in high-risk MM patients. Our research shows that MMrisk is a potential biomarker which is helpful to identify the molecular characteristics of AML immunology.</description><subject>631/67/1857</subject><subject>631/67/68</subject><subject>Acute myeloid leukemia</subject><subject>AML</subject><subject>Biomarkers</subject><subject>Biomarkers, Tumor - genetics</subject><subject>CD4 antigen</subject><subject>CTLA-4 protein</subject><subject>Female</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Leukemic</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Immune checkpoint</subject><subject>Immune response</subject><subject>Immunology</subject><subject>Immunosuppressive agents</subject><subject>Immunotherapy</subject><subject>Immunotherapy - methods</subject><subject>Leukemia</subject><subject>Leukemia, Myeloid, Acute - genetics</subject><subject>Leukemia, Myeloid, Acute - immunology</subject><subject>Leukemia, Myeloid, Acute - mortality</subject><subject>Lymphocytes B</subject><subject>Macrophages</subject><subject>Macrophages - immunology</subject><subject>Macrophages - metabolism</subject><subject>Male</subject><subject>Mast cells</subject><subject>Memory cells</subject><subject>Middle Aged</subject><subject>Monocyte/macrophage</subject><subject>Monocytes</subject><subject>Monocytes - immunology</subject><subject>Monocytes - metabolism</subject><subject>multidisciplinary</subject><subject>PD-1 protein</subject><subject>Plasma cells</subject><subject>Prognosis</subject><subject>Regression analysis</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Sensitivity analysis</subject><subject>Transcriptome</subject><subject>Tumor immune microenvironment</subject><subject>Tumors</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdks-OFCEQhztG427WfQEPhsSLl3aBAro5GbPxzySbeNEzYaC6l7EbRuieZF7BpxZ3Vt2VC4T68qUofk3zktG3jEJ_VQSTum8pF60SUnVt96Q551TIlgPnTx-cz5rLUna0Lsm1YPp5cwZ9rykIdd783HiMSxiCs0tIkaSBWBLTAScyp5jcccGr2bqc9rd2xDbjZBf0ZMSIpIQx2mXNSIaUyT6jD24JcSRlzYdwsBOx0ZMwz2uFM5Z9igVJiMS6dUEyH3FKwZMJ1-84B_uieTbYqeDl_X7RfPv44ev15_bmy6fN9fub1kOnl3aLEh0o7QDAc-c8VVwhp64DhcJDr2UvobcSJENUYqt6NdR3I1IGvejhotmcvD7ZndnnMNt8NMkGc3eR8mhsXoKb0FDolGLCOXR1mgK3SD1FJrQQnglJq-vdybVftzN6V2eZ7fRI-rgSw60Z08EwxmqjAqrhzb0hpx8rlsXMoTicJhsxrcUA7WinO-Cyoq__Q3dpzbHOqlJKg-adEJV69bClv738-fMKwAkotRRHzP80jJrf4TKncJkaLnMXLtPBL5nhwWc</recordid><startdate>20240618</startdate><enddate>20240618</enddate><creator>Zhan, Yun</creator><creator>Ma, Sixing</creator><creator>Zhang, Tianzhuo</creator><creator>Zhang, Luxin</creator><creator>Zhao, Peng</creator><creator>Yang, Xueying</creator><creator>Liu, Min</creator><creator>Cheng, Weiwei</creator><creator>Li, Ya</creator><creator>Wang, Jishi</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><general>Nature Portfolio</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20240618</creationdate><title>Identification of a novel monocyte/macrophage-related gene signature for predicting survival and immune response in acute myeloid leukemia</title><author>Zhan, Yun ; Ma, Sixing ; Zhang, Tianzhuo ; Zhang, Luxin ; Zhao, Peng ; Yang, Xueying ; Liu, Min ; Cheng, Weiwei ; Li, Ya ; Wang, Jishi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d379t-be5ec369c333d2ccd0626e20c736e4d38958538a5351ee64b686f941ee0138483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>631/67/1857</topic><topic>631/67/68</topic><topic>Acute myeloid leukemia</topic><topic>AML</topic><topic>Biomarkers</topic><topic>Biomarkers, Tumor - genetics</topic><topic>CD4 antigen</topic><topic>CTLA-4 protein</topic><topic>Female</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation, Leukemic</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Immune checkpoint</topic><topic>Immune response</topic><topic>Immunology</topic><topic>Immunosuppressive agents</topic><topic>Immunotherapy</topic><topic>Immunotherapy - methods</topic><topic>Leukemia</topic><topic>Leukemia, Myeloid, Acute - genetics</topic><topic>Leukemia, Myeloid, Acute - immunology</topic><topic>Leukemia, Myeloid, Acute - mortality</topic><topic>Lymphocytes B</topic><topic>Macrophages</topic><topic>Macrophages - immunology</topic><topic>Macrophages - metabolism</topic><topic>Male</topic><topic>Mast cells</topic><topic>Memory cells</topic><topic>Middle Aged</topic><topic>Monocyte/macrophage</topic><topic>Monocytes</topic><topic>Monocytes - immunology</topic><topic>Monocytes - metabolism</topic><topic>multidisciplinary</topic><topic>PD-1 protein</topic><topic>Plasma cells</topic><topic>Prognosis</topic><topic>Regression analysis</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Sensitivity analysis</topic><topic>Transcriptome</topic><topic>Tumor immune microenvironment</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhan, Yun</creatorcontrib><creatorcontrib>Ma, Sixing</creatorcontrib><creatorcontrib>Zhang, Tianzhuo</creatorcontrib><creatorcontrib>Zhang, Luxin</creatorcontrib><creatorcontrib>Zhao, Peng</creatorcontrib><creatorcontrib>Yang, Xueying</creatorcontrib><creatorcontrib>Liu, Min</creatorcontrib><creatorcontrib>Cheng, Weiwei</creatorcontrib><creatorcontrib>Li, Ya</creatorcontrib><creatorcontrib>Wang, Jishi</creatorcontrib><collection>SpringerOpen</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Complete (ProQuest Database)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Databases</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhan, Yun</au><au>Ma, Sixing</au><au>Zhang, Tianzhuo</au><au>Zhang, Luxin</au><au>Zhao, Peng</au><au>Yang, Xueying</au><au>Liu, Min</au><au>Cheng, Weiwei</au><au>Li, Ya</au><au>Wang, Jishi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of a novel monocyte/macrophage-related gene signature for predicting survival and immune response in acute myeloid leukemia</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2024-06-18</date><risdate>2024</risdate><volume>14</volume><issue>1</issue><spage>14012</spage><epage>14</epage><pages>14012-14</pages><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Acute myeloid leukemia (AML) is a heterogeneous hematological tumor with poor immunotherapy effect. This study was to develop a monocyte/macrophage-related prognostic risk score (MMrisk) and identify new therapeutic biomarkers for AML. We utilized differentially expressed genes (DEGs) in combination with single-cell RNA sequencing to identify monocyte/macrophage-related genes (MMGs). Eight genes were selected for the construction of a MMrisk model using univariate Cox regression analysis and LASSO regression analysis. We then validated the MMrisk on two GEO datasets. Lastly, we investigated the immunologic characteristics and advantages of immunotherapy and potential targeted drugs for MMrisk groups. Our study identified that the MMrisk is composed of eight MMGs, including HOPX, CSTB, MAP3K1, LGALS1, CFD, MXD1, CASP1 and BCL2A1. The low MMrisk group survived longer than high MMrisk group (P &lt; 0.001). The high MMrisk group was positively correlated with B cells, plasma cells, CD4 memory cells, Mast cells, CAFs, monocytes, M2 macrophages, Endothelial, tumor mutation, and most immune checkpoints (PD1, Tim-3, CTLA4, LAG3). Furthermore, drug sensitivity analysis showed that AZD.2281, Axitinib, AUY922, ABT.888, and ATRA were effective in high-risk MM patients. Our research shows that MMrisk is a potential biomarker which is helpful to identify the molecular characteristics of AML immunology.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>38890346</pmid><doi>10.1038/s41598-024-64567-7</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2045-2322
ispartof Scientific reports, 2024-06, Vol.14 (1), p.14012-14
issn 2045-2322
2045-2322
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_0376614ccec0454ebe0d0e14944d1450
source Publicly Available Content Database; PubMed Central; Free Full-Text Journals in Chemistry; Springer Nature - nature.com Journals - Fully Open Access
subjects 631/67/1857
631/67/68
Acute myeloid leukemia
AML
Biomarkers
Biomarkers, Tumor - genetics
CD4 antigen
CTLA-4 protein
Female
Gene Expression Profiling
Gene Expression Regulation, Leukemic
Humanities and Social Sciences
Humans
Immune checkpoint
Immune response
Immunology
Immunosuppressive agents
Immunotherapy
Immunotherapy - methods
Leukemia
Leukemia, Myeloid, Acute - genetics
Leukemia, Myeloid, Acute - immunology
Leukemia, Myeloid, Acute - mortality
Lymphocytes B
Macrophages
Macrophages - immunology
Macrophages - metabolism
Male
Mast cells
Memory cells
Middle Aged
Monocyte/macrophage
Monocytes
Monocytes - immunology
Monocytes - metabolism
multidisciplinary
PD-1 protein
Plasma cells
Prognosis
Regression analysis
Science
Science (multidisciplinary)
Sensitivity analysis
Transcriptome
Tumor immune microenvironment
Tumors
title Identification of a novel monocyte/macrophage-related gene signature for predicting survival and immune response in acute myeloid leukemia
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T19%3A19%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Identification%20of%20a%20novel%20monocyte/macrophage-related%20gene%20signature%20for%20predicting%20survival%20and%20immune%20response%20in%20acute%20myeloid%20leukemia&rft.jtitle=Scientific%20reports&rft.au=Zhan,%20Yun&rft.date=2024-06-18&rft.volume=14&rft.issue=1&rft.spage=14012&rft.epage=14&rft.pages=14012-14&rft.issn=2045-2322&rft.eissn=2045-2322&rft_id=info:doi/10.1038/s41598-024-64567-7&rft_dat=%3Cproquest_doaj_%3E3070797325%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-d379t-be5ec369c333d2ccd0626e20c736e4d38958538a5351ee64b686f941ee0138483%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3069392744&rft_id=info:pmid/38890346&rfr_iscdi=true