Exploring the relationship between immune heterogeneity characteristic genes of rheumatoid arthritis and acute myeloid leukemia

Background People with autoimmune diseases are prone to cancer, and there is a close relationship between rheumatoid arthritis (RA) and acute myeloid leukemia (AML). The bone marrow (BM) is affected throughout the course of RA, with a variety of hematologic involvement. Hopes are pinned on rheumatoi...

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Vydáno v:Discover. Oncology Ročník 15; číslo 1; s. 1 - 16
Hlavní autoři: Jiang, Chengzhi, Jiang, Wenjuan, Liu, Pengtao, Sun, Wenxue, Teng, Wenjie
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 02.01.2024
Springer Nature B.V
Springer
Témata:
Acute myeloid leukemia
Algorithms
Biomarkers
Bone marrow
Cancer Research
Datasets
Gene expression
Internal Medicine
Leukemia
Machine learning
Medicine
Medicine & Public Health
Molecular Medicine
Oncology
Proteins
Radiotherapy
Rheumatoid arthritis
Sample size
Surgical Oncology
Therapeutic target
Biomarkers
Acute myeloid leukemia
Therapeutic target
Machine learning
ISSN:2730-6011, 2730-6011
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Abstract Background People with autoimmune diseases are prone to cancer, and there is a close relationship between rheumatoid arthritis (RA) and acute myeloid leukemia (AML). The bone marrow (BM) is affected throughout the course of RA, with a variety of hematologic involvement. Hopes are pinned on rheumatoid arthritis research to obtain BM biomarkers for AML. Methods Synovial transcriptome sequencing data for RA and osteoarthritis (OA), and single-cell sequencing data for RA and controls were obtained from the GEO database.Bone marrow sequencing data for AML patients and normal subjects were obtained from the UCSC Xena database. The final immune heterogeneity characteristics of RA were determined through ssGSEA analysis, gene differential expression analysis, fuzzy c-means clustering algorithm, and XGboost algorithm. Random Ferns classifiers (RFs) are used to identify new bone marrow markers for AML. Results SELL, PTPRC, IL7R, CCR7, and KLRB1 were able to distinguish leukemia cells from normal cells well, with AUC values higher than 0.970. Conclusion Genes characterizing the immune heterogeneity of RA are associated with AML, and KLRBA may be a potential target for AML treatment.
AbstractList Abstract Background People with autoimmune diseases are prone to cancer, and there is a close relationship between rheumatoid arthritis (RA) and acute myeloid leukemia (AML). The bone marrow (BM) is affected throughout the course of RA, with a variety of hematologic involvement. Hopes are pinned on rheumatoid arthritis research to obtain BM biomarkers for AML. Methods Synovial transcriptome sequencing data for RA and osteoarthritis (OA), and single-cell sequencing data for RA and controls were obtained from the GEO database.Bone marrow sequencing data for AML patients and normal subjects were obtained from the UCSC Xena database. The final immune heterogeneity characteristics of RA were determined through ssGSEA analysis, gene differential expression analysis, fuzzy c-means clustering algorithm, and XGboost algorithm. Random Ferns classifiers (RFs) are used to identify new bone marrow markers for AML. Results SELL, PTPRC, IL7R, CCR7, and KLRB1 were able to distinguish leukemia cells from normal cells well, with AUC values higher than 0.970. Conclusion Genes characterizing the immune heterogeneity of RA are associated with AML, and KLRBA may be a potential target for AML treatment.
BackgroundPeople with autoimmune diseases are prone to cancer, and there is a close relationship between rheumatoid arthritis (RA) and acute myeloid leukemia (AML). The bone marrow (BM) is affected throughout the course of RA, with a variety of hematologic involvement. Hopes are pinned on rheumatoid arthritis research to obtain BM biomarkers for AML.MethodsSynovial transcriptome sequencing data for RA and osteoarthritis (OA), and single-cell sequencing data for RA and controls were obtained from the GEO database.Bone marrow sequencing data for AML patients and normal subjects were obtained from the UCSC Xena database. The final immune heterogeneity characteristics of RA were determined through ssGSEA analysis, gene differential expression analysis, fuzzy c-means clustering algorithm, and XGboost algorithm. Random Ferns classifiers (RFs) are used to identify new bone marrow markers for AML.ResultsSELL, PTPRC, IL7R, CCR7, and KLRB1 were able to distinguish leukemia cells from normal cells well, with AUC values higher than 0.970.ConclusionGenes characterizing the immune heterogeneity of RA are associated with AML, and KLRBA may be a potential target for AML treatment.
People with autoimmune diseases are prone to cancer, and there is a close relationship between rheumatoid arthritis (RA) and acute myeloid leukemia (AML). The bone marrow (BM) is affected throughout the course of RA, with a variety of hematologic involvement. Hopes are pinned on rheumatoid arthritis research to obtain BM biomarkers for AML.BACKGROUNDPeople with autoimmune diseases are prone to cancer, and there is a close relationship between rheumatoid arthritis (RA) and acute myeloid leukemia (AML). The bone marrow (BM) is affected throughout the course of RA, with a variety of hematologic involvement. Hopes are pinned on rheumatoid arthritis research to obtain BM biomarkers for AML.Synovial transcriptome sequencing data for RA and osteoarthritis (OA), and single-cell sequencing data for RA and controls were obtained from the GEO database.Bone marrow sequencing data for AML patients and normal subjects were obtained from the UCSC Xena database. The final immune heterogeneity characteristics of RA were determined through ssGSEA analysis, gene differential expression analysis, fuzzy c-means clustering algorithm, and XGboost algorithm. Random Ferns classifiers (RFs) are used to identify new bone marrow markers for AML.METHODSSynovial transcriptome sequencing data for RA and osteoarthritis (OA), and single-cell sequencing data for RA and controls were obtained from the GEO database.Bone marrow sequencing data for AML patients and normal subjects were obtained from the UCSC Xena database. The final immune heterogeneity characteristics of RA were determined through ssGSEA analysis, gene differential expression analysis, fuzzy c-means clustering algorithm, and XGboost algorithm. Random Ferns classifiers (RFs) are used to identify new bone marrow markers for AML.SELL, PTPRC, IL7R, CCR7, and KLRB1 were able to distinguish leukemia cells from normal cells well, with AUC values higher than 0.970.RESULTSSELL, PTPRC, IL7R, CCR7, and KLRB1 were able to distinguish leukemia cells from normal cells well, with AUC values higher than 0.970.Genes characterizing the immune heterogeneity of RA are associated with AML, and KLRBA may be a potential target for AML treatment.CONCLUSIONGenes characterizing the immune heterogeneity of RA are associated with AML, and KLRBA may be a potential target for AML treatment.
Background People with autoimmune diseases are prone to cancer, and there is a close relationship between rheumatoid arthritis (RA) and acute myeloid leukemia (AML). The bone marrow (BM) is affected throughout the course of RA, with a variety of hematologic involvement. Hopes are pinned on rheumatoid arthritis research to obtain BM biomarkers for AML. Methods Synovial transcriptome sequencing data for RA and osteoarthritis (OA), and single-cell sequencing data for RA and controls were obtained from the GEO database.Bone marrow sequencing data for AML patients and normal subjects were obtained from the UCSC Xena database. The final immune heterogeneity characteristics of RA were determined through ssGSEA analysis, gene differential expression analysis, fuzzy c-means clustering algorithm, and XGboost algorithm. Random Ferns classifiers (RFs) are used to identify new bone marrow markers for AML. Results SELL, PTPRC, IL7R, CCR7, and KLRB1 were able to distinguish leukemia cells from normal cells well, with AUC values higher than 0.970. Conclusion Genes characterizing the immune heterogeneity of RA are associated with AML, and KLRBA may be a potential target for AML treatment.
People with autoimmune diseases are prone to cancer, and there is a close relationship between rheumatoid arthritis (RA) and acute myeloid leukemia (AML). The bone marrow (BM) is affected throughout the course of RA, with a variety of hematologic involvement. Hopes are pinned on rheumatoid arthritis research to obtain BM biomarkers for AML. Synovial transcriptome sequencing data for RA and osteoarthritis (OA), and single-cell sequencing data for RA and controls were obtained from the GEO database.Bone marrow sequencing data for AML patients and normal subjects were obtained from the UCSC Xena database. The final immune heterogeneity characteristics of RA were determined through ssGSEA analysis, gene differential expression analysis, fuzzy c-means clustering algorithm, and XGboost algorithm. Random Ferns classifiers (RFs) are used to identify new bone marrow markers for AML. SELL, PTPRC, IL7R, CCR7, and KLRB1 were able to distinguish leukemia cells from normal cells well, with AUC values higher than 0.970. Genes characterizing the immune heterogeneity of RA are associated with AML, and KLRBA may be a potential target for AML treatment.
ArticleNumber 1
Author Jiang, Wenjuan
Sun, Wenxue
Teng, Wenjie
Liu, Pengtao
Jiang, Chengzhi
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  surname: Jiang
  fullname: Jiang, Wenjuan
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  givenname: Pengtao
  surname: Liu
  fullname: Liu, Pengtao
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  givenname: Wenxue
  surname: Sun
  fullname: Sun, Wenxue
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  givenname: Wenjie
  surname: Teng
  fullname: Teng, Wenjie
  email: wfteng@wfmc.edu.cn
  organization: Computer Teaching and Research Office, Shandong Second Medical University
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Cites_doi 10.1038/s41375-021-01291-5
10.1093/intimm/dxab057
10.1002/cbf.3466
10.1111/j.1600-0609.2007.00986.x
10.1371/journal.pmed.1002200
10.1038/s41591-018-0081-z
10.18632/oncotarget.23743
10.1182/blood.2021015162
10.1038/s41590-019-0479-x
10.1007/s10067-020-05396-7
10.2174/1566524022666220509122505
10.3324/haematol.2011.056283
10.1080/10428190290016854
10.6026/97320630002005
10.1016/j.cell.2021.01.022
10.4103/0019-509X.13053
10.3390/ijms20123021
10.1136/annrheumdis-2022-222370
10.1016/j.lfs.2021.119499
10.21037/atm-20-3140
10.4103/ijmpo.ijmpo_89_16
10.3390/biomedicines9080921
10.1038/bcj.2014.39
10.1002/jcp.30393
10.1182/blood-2014-11-610543
10.1016/j.apsb.2020.12.018
10.1101/cshperspect.a030320
10.1182/blood.2021011320
10.1002/ajh.23404
10.1016/j.beha.2019.02.002
10.1053/j.seminhematol.2021.10.002
10.20892/j.issn.2095-3941.2023.0039
10.7754/Clin.Lab.2021.210940
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Keywords Biomarkers
Acute myeloid leukemia
Therapeutic target
Machine learning
Language English
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References Martín-Henao, Quiroga, Sureda, González, Moreno, García (CR17) 2000; 85
Rossi, Meggendorfer, Zampini, Tettamanti, Riva, Travaglino, Bersanelli, Mandelli, Antonella Galbussera, Mosca, Saba, Chiereghin, Manes, Milanesi, Ubezio, Morabito, Peano, Soldà, Asselta, Duga (CR34) 2021; 138
Li, Wang, You, Li, Hu (CR9) 2022; 2022
Lindsley, Mar, Mazzola, Grauman, Shareef, Allen, Pigneux, Wetzler, Stuart, Erba, Damon, Powell, Lindeman, Steensma, Wadleigh, DeAngelo, Neuberg, Stone, Ebert (CR35) 2015; 125
Ehninger, Kramer, Röllig, Thiede, Bornhäuser, von Bonin, Wermke, Feldmann, Bachmann, Ehninger, Oelschlägel (CR3) 2014; 4
Estey (CR4) 2013; 88
Takayanagi (CR13) 2021; 33
Barata, Durum, Seddon (CR21) 2019; 20
Papadaki, Marsh, Eliopoulos (CR12) 2002; 43
Khera, Ahmed, Mundada, Devi, Murthy, Lavanya, Rajappa, Mallavarapu, Santa (CR5) 2017; 38
Ghosh, Shinde, Kumaran, Sapre, Dhond, Badrinath, Ansari, Kumar, Mahadik, Chougule, Nair (CR6) 2003; 40
Li, Xu, Abruzzo, Tang, Li, You, Lu, Jabbour, Deng, Bueso-Ramos, Medeiros, Yin (CR2) 2017; 9
Follini, Marchesini, Roti (CR24) 2019; 20
Buccisano, Maurillo, Tamburini, Del Poeta, Del Principe, Ammatuna, Consalvo, Campagna, Ottaviani, Sarlo, Renzi, Faccia, Fraboni, Lo Coco, Amadori, Venditti (CR14) 2008; 80
Stubbins, Platzbecker, Karsan (CR33) 2022; 140
Yuanfeng, Yuanhai, Yanzhen (CR7) 2013; 10
Asl, Amini, Najafi, Mansoori, Mokhtarzadeh, Mohammadi, Lotfinejad, Bagheri, Shirjang, Lotfi, Rasmi, Baradaran (CR28) 2021; 278
Xiao, Li, Li, Wu, Xu, Chen, He (CR18) 2021; 11
Boddu, Zeidan (CR11) 2019; 32
van der Zwet, Buijs-Gladdines, Cordo, Debets, Smits, Chen, Dylus, Zaman, Altelaar, Oshima, Bornhauser, Bourquin, Cools, Ferrando, Vormoor, Pieters, Vormoor, Meijerink (CR25) 2021; 35
Tapeh, Alivand, Solali (CR27) 2020; 38
Desai, Mencia-Trinchant, Savenkov, Simon, Cheang, Lee, Samuel, Ritchie, Guzman, Ballman, Roboz, Hassane (CR37) 2018; 24
Luo, He, Xu, Liu, Zhao, Peng, He, Chen (CR1) 2021; 40
Fazaeli, Sheikholeslami, Ghasemian, Amini, Sheykhhasan (CR31) 2023; 23
CR26
Mathewson, Ashenberg, Tirosh, Gritsch, Perez, Marx, Jerby-Arnon, Chanoch-Myers, Hara, Richman, Ito, Pyrdol, Friedrich, Schumann, Poitras, Gokhale, Gonzalez Castro, Shore, Hebert, Shaw, Cahill, Drummond, Zhang, Olawoyin, Wakimoto, Rozenblatt-Rosen, Brastianos, Liu, Jones, Cahill, Frosch, Louis, Freeman, Ligon, Marson, Chiocca, Reardon, Regev, Suvà, Wucherpfennig (CR22) 2021; 184
Stasevich, Murashko, Zinevich, Demin, Schwartz (CR30) 2021; 9
Ramadan, Fouad, Summa, Hasan, Lo-Coco (CR10) 2012; 97
CR20
Deak, Gorcea-Andronic, Sas, Teodorescu, Constantinescu, Iluta, Pasca, Hotea, Turcas, Moisoiu, Zimta, Galdean, Steinheber, Rus, Rauch, Richlitzki, Munteanu, Jurj, Petrushev, Selicean, Marian, Soritau, Andries, Roman, Dima, Tanase, Sigurjonsson, Tomuleasa (CR16) 2021; 9
Yadav, Kumar, Tripathi, Gupta (CR29) 2021; 236
Koster, Warrington (CR32) 2021; 58
Cooles, Tarn, Lendrem, Naamane, Lin, Millar, Maney, Anderson, Thalayasingam, Diboll, Bondet, Duffy, Barnes, Smith, Ng, Watson, Henkin, Cope, Reynard, Pratt, Isaacs (CR19) 2022; 81
Kupsa, Vasatova, Karesova, Zak, Horacek (CR15) 2014; 36
Li, Buijs-Gladdines, Canté-Barrett, Stubbs, Vroegindeweij, Smits, van Marion, Dinjens, Horstmann, Kuiper, Buijsman, Zaman, van der Spek, Pieters, Meijerink (CR23) 2016; 13
Kumar, Futschik (CR8) 2007; 2
Brunetti, Gundry, Goodell (CR36) 2017; 7
R Khera (852_CR5) 2017; 38
D Deak (852_CR16) 2021; 9
RC Lindsley (852_CR35) 2015; 125
M Rossi (852_CR34) 2021; 138
L Kumar (852_CR8) 2007; 2
HA Papadaki (852_CR12) 2002; 43
852_CR26
X Luo (852_CR1) 2021; 40
Q Xiao (852_CR18) 2021; 11
H Fazaeli (852_CR31) 2023; 23
852_CR20
T Kupsa (852_CR15) 2014; 36
A Ehninger (852_CR3) 2014; 4
PC Boddu (852_CR11) 2019; 32
L Brunetti (852_CR36) 2017; 7
BEG Tapeh (852_CR27) 2020; 38
EH Estey (852_CR4) 2013; 88
Y Li (852_CR9) 2022; 2022
P Desai (852_CR37) 2018; 24
E Follini (852_CR24) 2019; 20
VK Yadav (852_CR29) 2021; 236
L Yuanfeng (852_CR7) 2013; 10
S Ghosh (852_CR6) 2003; 40
JT Barata (852_CR21) 2019; 20
RJ Stubbins (852_CR33) 2022; 140
H Takayanagi (852_CR13) 2021; 33
GA Martín-Henao (852_CR17) 2000; 85
JCG van der Zwet (852_CR25) 2021; 35
SM Ramadan (852_CR10) 2012; 97
F Buccisano (852_CR14) 2008; 80
MJ Koster (852_CR32) 2021; 58
ND Mathewson (852_CR22) 2021; 184
Y Li (852_CR23) 2016; 13
EM Stasevich (852_CR30) 2021; 9
ER Asl (852_CR28) 2021; 278
FAH Cooles (852_CR19) 2022; 81
J Li (852_CR2) 2017; 9
References_xml – volume: 10
  start-page: 2520
  issue: 19
  year: 2013
  end-page: 2523
  ident: CR7
  article-title: Application of immunotyping in the differential diagnosis of monocyte associated acute myeloid leukemia (M4/M5)
  publication-title: J Lab Med Clin Med
– volume: 35
  start-page: 3394
  issue: 12
  year: 2021
  end-page: 3405
  ident: CR25
  article-title: MAPK-ERK is a central pathway in T-cell acute lymphoblastic leukemia that drives steroid resistance
  publication-title: Leukemia
  doi: 10.1038/s41375-021-01291-5
– volume: 85
  start-page: 139
  issue: 2
  year: 2000
  end-page: 146
  ident: CR17
  article-title: L-selectin expression is low on CD34+ cells from patients with chronic myeloid leukemia and interferon-a up-regulates this expression
  publication-title: Haematologica
– volume: 36
  start-page: 252
  issue: 4
  year: 2014
  end-page: 257
  ident: CR15
  article-title: Baseline serum levels of multiple cytokines and adhesion molecules in patients with acute myeloid leukemia: results of a pivotal trial
  publication-title: Exp Oncol
– volume: 33
  start-page: 673
  issue: 12
  year: 2021
  end-page: 678
  ident: CR13
  article-title: Osteoimmunology as an intrinsic part of immunology
  publication-title: Int Immunol
  doi: 10.1093/intimm/dxab057
– volume: 38
  start-page: 334
  issue: 4
  year: 2020
  end-page: 346
  ident: CR27
  article-title: The role of microRNAs in acute lymphoblastic leukaemia: from biology to applications
  publication-title: Cell Biochem Funct
  doi: 10.1002/cbf.3466
– volume: 80
  start-page: 107
  issue: 2
  year: 2008
  end-page: 114
  ident: CR14
  article-title: Evaluation of the prognostic relevance of L-selectin and ICAM1 expression in myelodysplastic syndromes
  publication-title: Eur J Haematol.
  doi: 10.1111/j.1600-0609.2007.00986.x
– volume: 13
  issue: 12
  year: 2016
  ident: CR23
  article-title: IL-7 receptor mutations and steroid resistance in pediatric T cell acute lymphoblastic leukemia: a genome sequencing study
  publication-title: PLoS Med
  doi: 10.1371/journal.pmed.1002200
– volume: 24
  start-page: 1015
  issue: 7
  year: 2018
  end-page: 1023
  ident: CR37
  article-title: Somatic mutations precede acute myeloid leukemia years before diagnosis
  publication-title: Nat Med
  doi: 10.1038/s41591-018-0081-z
– volume: 9
  start-page: 10987
  issue: 13
  year: 2017
  end-page: 10994
  ident: CR2
  article-title: Acute myeloid leukemia with t (4;12) (q12;p13): an aggressive disease with frequent involvement of PDGFRA and ETV6
  publication-title: Oncotarget
  doi: 10.18632/oncotarget.23743
– volume: 140
  start-page: 1067
  issue: 10
  year: 2022
  end-page: 1074
  ident: CR33
  article-title: Inflammation and myeloid malignancy: quenching the flame
  publication-title: Blood
  doi: 10.1182/blood.2021015162
– volume: 20
  start-page: 1584
  issue: 12
  year: 2019
  end-page: 1593
  ident: CR21
  article-title: Flip the coin: IL-7 and IL-7R in health and disease
  publication-title: Nat Immunol
  doi: 10.1038/s41590-019-0479-x
– volume: 40
  start-page: 1283
  issue: 4
  year: 2021
  end-page: 1289
  ident: CR1
  article-title: The risk of leukemia in patients with rheumatoid arthritis: a systematic review and meta-analysis
  publication-title: Clin Rheumatol
  doi: 10.1007/s10067-020-05396-7
– volume: 23
  start-page: 606
  issue: 7
  year: 2023
  end-page: 629
  ident: CR31
  article-title: The emerging role of LncRNA FENDRR in multiple cancers: a review
  publication-title: Curr Mol Med
  doi: 10.2174/1566524022666220509122505
– volume: 97
  start-page: 805
  issue: 6
  year: 2012
  end-page: 817
  ident: CR10
  article-title: Acute myeloid leukemia developing in patients with autoimmune diseases
  publication-title: Haematologica
  doi: 10.3324/haematol.2011.056283
– volume: 43
  start-page: 753
  issue: 4
  year: 2002
  end-page: 760
  ident: CR12
  article-title: Bone marrow stem cells and stromal cells in autoimmune cytopenias
  publication-title: Leuk Lymphoma
  doi: 10.1080/10428190290016854
– volume: 2
  start-page: 5
  issue: 1
  year: 2007
  end-page: 7
  ident: CR8
  article-title: Mfuzz: a software package for soft clustering of microarray data
  publication-title: Bioinformation
  doi: 10.6026/97320630002005
– volume: 184
  start-page: 1281
  issue: 5
  year: 2021
  end-page: 1298
  ident: CR22
  article-title: Inhibitory CD161 receptor identified in glioma-infiltrating T cells by single-cell analysis
  publication-title: Cell
  doi: 10.1016/j.cell.2021.01.022
– volume: 40
  start-page: 71
  issue: 2
  year: 2003
  end-page: 76
  ident: CR6
  article-title: Haematologic and immunophenotypic profile of acute myeloid leukemia: an experience of Tata Memorial Hospital
  publication-title: Indian J Cancer
  doi: 10.4103/0019-509X.13053
– volume: 2022
  start-page: 7191684
  year: 2022
  ident: CR9
  article-title: Predicting protein-protein interactions via random ferns with evolutionary matrix representation
  publication-title: Comput Math Methods Med
– volume: 20
  start-page: 3021
  issue: 12
  year: 2019
  ident: CR24
  article-title: Strategies to overcome resistance mechanisms in T-cell acute lymphoblastic leukemia
  publication-title: Int J Mol Sci.
  doi: 10.3390/ijms20123021
– volume: 81
  start-page: 1214
  issue: 9
  year: 2022
  end-page: 1223
  ident: CR19
  article-title: Interferon-α-mediated therapeutic resistance in early rheumatoid arthritis implicates epigenetic reprogramming
  publication-title: Ann Rheum Dis
  doi: 10.1136/annrheumdis-2022-222370
– volume: 278
  year: 2021
  ident: CR28
  article-title: Interplay between MAPK/ERK signaling pathway and MicroRNAs: a crucial mechanism regulating cancer cell metabolism and tumor progression
  publication-title: Life Sci
  doi: 10.1016/j.lfs.2021.119499
– volume: 9
  start-page: 68
  issue: 1
  year: 2021
  ident: CR16
  article-title: A narrative review of central nervous system involvement in acute leukemias
  publication-title: Ann Transl Med
  doi: 10.21037/atm-20-3140
– volume: 38
  start-page: 266
  issue: 3
  year: 2017
  end-page: 272
  ident: CR5
  article-title: Multiplex approach in classification, diagnosis, and prognostication in acute myeloid leukemia: an experience from tertiary cancer center in south India
  publication-title: Indian J Med Paediatric Oncol
  doi: 10.4103/ijmpo.ijmpo_89_16
– volume: 9
  start-page: 921
  issue: 8
  year: 2021
  ident: CR30
  article-title: The role of non-coding RNAs in the regulation of the proto-oncogene MYC in different types of cancer
  publication-title: Biomedicines.
  doi: 10.3390/biomedicines9080921
– volume: 4
  issue: 6
  year: 2014
  ident: CR3
  article-title: Distribution and levels of cell surface expression of CD33 and CD123 in acute myeloid leukemia
  publication-title: Blood Cancer J
  doi: 10.1038/bcj.2014.39
– volume: 236
  start-page: 7801
  issue: 11
  year: 2021
  end-page: 7813
  ident: CR29
  article-title: Long noncoding RNAs in intestinal homeostasis, regeneration, and cancer
  publication-title: J Cell Physiol
  doi: 10.1002/jcp.30393
– volume: 125
  start-page: 1367
  issue: 9
  year: 2015
  end-page: 1376
  ident: CR35
  article-title: Acute myeloid leukemia ontogeny is defined by distinct somatic mutations
  publication-title: Blood
  doi: 10.1182/blood-2014-11-610543
– volume: 11
  start-page: 941
  issue: 4
  year: 2021
  end-page: 960
  ident: CR18
  article-title: Biological drug and drug delivery-mediated immunotherapy
  publication-title: Acta Pharm Sin B
  doi: 10.1016/j.apsb.2020.12.018
– volume: 7
  issue: 2
  year: 2017
  ident: CR36
  article-title: DNMT3A in Leukemia
  publication-title: Cold Spring Harb Perspect Med
  doi: 10.1101/cshperspect.a030320
– volume: 138
  start-page: 2093
  issue: 21
  year: 2021
  end-page: 2105
  ident: CR34
  article-title: Clinical relevance of clonal hematopoiesis in persons aged ≥80 years
  publication-title: Blood
  doi: 10.1182/blood.2021011320
– volume: 88
  start-page: 318
  issue: 4
  year: 2013
  end-page: 327
  ident: CR4
  article-title: Acute myeloid leukemia: 2013 update on risk-stratification and management
  publication-title: Am J Hematol
  doi: 10.1002/ajh.23404
– volume: 32
  start-page: 74
  issue: 1
  year: 2019
  end-page: 88
  ident: CR11
  article-title: Myeloid disorders after autoimmune disease
  publication-title: Best Pract Res Clin Haematol
  doi: 10.1016/j.beha.2019.02.002
– ident: CR26
– volume: 58
  start-page: 218
  issue: 4
  year: 2021
  end-page: 225
  ident: CR32
  article-title: VEXAS within the spectrum of rheumatologic disease
  publication-title: Semin Hematol
  doi: 10.1053/j.seminhematol.2021.10.002
– ident: CR20
– volume: 36
  start-page: 252
  issue: 4
  year: 2014
  ident: 852_CR15
  publication-title: Exp Oncol
– volume: 2
  start-page: 5
  issue: 1
  year: 2007
  ident: 852_CR8
  publication-title: Bioinformation
  doi: 10.6026/97320630002005
– volume: 80
  start-page: 107
  issue: 2
  year: 2008
  ident: 852_CR14
  publication-title: Eur J Haematol.
  doi: 10.1111/j.1600-0609.2007.00986.x
– volume: 88
  start-page: 318
  issue: 4
  year: 2013
  ident: 852_CR4
  publication-title: Am J Hematol
  doi: 10.1002/ajh.23404
– volume: 85
  start-page: 139
  issue: 2
  year: 2000
  ident: 852_CR17
  publication-title: Haematologica
– volume: 9
  start-page: 10987
  issue: 13
  year: 2017
  ident: 852_CR2
  publication-title: Oncotarget
  doi: 10.18632/oncotarget.23743
– volume: 38
  start-page: 266
  issue: 3
  year: 2017
  ident: 852_CR5
  publication-title: Indian J Med Paediatric Oncol
  doi: 10.4103/ijmpo.ijmpo_89_16
– volume: 125
  start-page: 1367
  issue: 9
  year: 2015
  ident: 852_CR35
  publication-title: Blood
  doi: 10.1182/blood-2014-11-610543
– volume: 278
  year: 2021
  ident: 852_CR28
  publication-title: Life Sci
  doi: 10.1016/j.lfs.2021.119499
– volume: 58
  start-page: 218
  issue: 4
  year: 2021
  ident: 852_CR32
  publication-title: Semin Hematol
  doi: 10.1053/j.seminhematol.2021.10.002
– volume: 140
  start-page: 1067
  issue: 10
  year: 2022
  ident: 852_CR33
  publication-title: Blood
  doi: 10.1182/blood.2021015162
– volume: 184
  start-page: 1281
  issue: 5
  year: 2021
  ident: 852_CR22
  publication-title: Cell
  doi: 10.1016/j.cell.2021.01.022
– volume: 23
  start-page: 606
  issue: 7
  year: 2023
  ident: 852_CR31
  publication-title: Curr Mol Med
  doi: 10.2174/1566524022666220509122505
– volume: 138
  start-page: 2093
  issue: 21
  year: 2021
  ident: 852_CR34
  publication-title: Blood
  doi: 10.1182/blood.2021011320
– volume: 4
  issue: 6
  year: 2014
  ident: 852_CR3
  publication-title: Blood Cancer J
  doi: 10.1038/bcj.2014.39
– volume: 11
  start-page: 941
  issue: 4
  year: 2021
  ident: 852_CR18
  publication-title: Acta Pharm Sin B
  doi: 10.1016/j.apsb.2020.12.018
– volume: 20
  start-page: 1584
  issue: 12
  year: 2019
  ident: 852_CR21
  publication-title: Nat Immunol
  doi: 10.1038/s41590-019-0479-x
– volume: 7
  issue: 2
  year: 2017
  ident: 852_CR36
  publication-title: Cold Spring Harb Perspect Med
  doi: 10.1101/cshperspect.a030320
– volume: 35
  start-page: 3394
  issue: 12
  year: 2021
  ident: 852_CR25
  publication-title: Leukemia
  doi: 10.1038/s41375-021-01291-5
– volume: 20
  start-page: 3021
  issue: 12
  year: 2019
  ident: 852_CR24
  publication-title: Int J Mol Sci.
  doi: 10.3390/ijms20123021
– volume: 38
  start-page: 334
  issue: 4
  year: 2020
  ident: 852_CR27
  publication-title: Cell Biochem Funct
  doi: 10.1002/cbf.3466
– volume: 10
  start-page: 2520
  issue: 19
  year: 2013
  ident: 852_CR7
  publication-title: J Lab Med Clin Med
– volume: 2022
  start-page: 7191684
  year: 2022
  ident: 852_CR9
  publication-title: Comput Math Methods Med
– volume: 40
  start-page: 1283
  issue: 4
  year: 2021
  ident: 852_CR1
  publication-title: Clin Rheumatol
  doi: 10.1007/s10067-020-05396-7
– volume: 40
  start-page: 71
  issue: 2
  year: 2003
  ident: 852_CR6
  publication-title: Indian J Cancer
  doi: 10.4103/0019-509X.13053
– volume: 32
  start-page: 74
  issue: 1
  year: 2019
  ident: 852_CR11
  publication-title: Best Pract Res Clin Haematol
  doi: 10.1016/j.beha.2019.02.002
– volume: 43
  start-page: 753
  issue: 4
  year: 2002
  ident: 852_CR12
  publication-title: Leuk Lymphoma
  doi: 10.1080/10428190290016854
– ident: 852_CR26
  doi: 10.20892/j.issn.2095-3941.2023.0039
– volume: 13
  issue: 12
  year: 2016
  ident: 852_CR23
  publication-title: PLoS Med
  doi: 10.1371/journal.pmed.1002200
– volume: 97
  start-page: 805
  issue: 6
  year: 2012
  ident: 852_CR10
  publication-title: Haematologica
  doi: 10.3324/haematol.2011.056283
– volume: 9
  start-page: 921
  issue: 8
  year: 2021
  ident: 852_CR30
  publication-title: Biomedicines.
  doi: 10.3390/biomedicines9080921
– volume: 24
  start-page: 1015
  issue: 7
  year: 2018
  ident: 852_CR37
  publication-title: Nat Med
  doi: 10.1038/s41591-018-0081-z
– volume: 236
  start-page: 7801
  issue: 11
  year: 2021
  ident: 852_CR29
  publication-title: J Cell Physiol
  doi: 10.1002/jcp.30393
– volume: 33
  start-page: 673
  issue: 12
  year: 2021
  ident: 852_CR13
  publication-title: Int Immunol
  doi: 10.1093/intimm/dxab057
– volume: 9
  start-page: 68
  issue: 1
  year: 2021
  ident: 852_CR16
  publication-title: Ann Transl Med
  doi: 10.21037/atm-20-3140
– volume: 81
  start-page: 1214
  issue: 9
  year: 2022
  ident: 852_CR19
  publication-title: Ann Rheum Dis
  doi: 10.1136/annrheumdis-2022-222370
– ident: 852_CR20
  doi: 10.7754/Clin.Lab.2021.210940
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Snippet Background People with autoimmune diseases are prone to cancer, and there is a close relationship between rheumatoid arthritis (RA) and acute myeloid leukemia...
People with autoimmune diseases are prone to cancer, and there is a close relationship between rheumatoid arthritis (RA) and acute myeloid leukemia (AML). The...
BackgroundPeople with autoimmune diseases are prone to cancer, and there is a close relationship between rheumatoid arthritis (RA) and acute myeloid leukemia...
Abstract Background People with autoimmune diseases are prone to cancer, and there is a close relationship between rheumatoid arthritis (RA) and acute myeloid...
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StartPage 1
SubjectTerms Acute myeloid leukemia
Algorithms
Biomarkers
Bone marrow
Cancer Research
Datasets
Gene expression
Internal Medicine
Leukemia
Machine learning
Medicine
Medicine & Public Health
Molecular Medicine
Oncology
Proteins
Radiotherapy
Rheumatoid arthritis
Sample size
Surgical Oncology
Therapeutic target
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Title Exploring the relationship between immune heterogeneity characteristic genes of rheumatoid arthritis and acute myeloid leukemia
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Volume 15
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