Application of omics in the diagnosis, prognosis, and treatment of acute myeloid leukemia.

IF 9.5 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Biomarker Research Pub Date : 2024-06-10 DOI:10.1186/s40364-024-00600-1
Zhiyu Zhang, Jiayi Huang, Zhibo Zhang, Hongjie Shen, Xiaowen Tang, Depei Wu, Xiebing Bao, Guoqiang Xu, Suning Chen
{"title":"Application of omics in the diagnosis, prognosis, and treatment of acute myeloid leukemia.","authors":"Zhiyu Zhang, Jiayi Huang, Zhibo Zhang, Hongjie Shen, Xiaowen Tang, Depei Wu, Xiebing Bao, Guoqiang Xu, Suning Chen","doi":"10.1186/s40364-024-00600-1","DOIUrl":null,"url":null,"abstract":"<p><p>Acute myeloid leukemia (AML) is the most frequent leukemia in adults with a high mortality rate. Current diagnostic criteria and selections of therapeutic strategies are generally based on gene mutations and cytogenetic abnormalities. Chemotherapy, targeted therapies, and hematopoietic stem cell transplantation (HSCT) are the major therapeutic strategies for AML. Two dilemmas in the clinical management of AML are related to its poor prognosis. One is the inaccurate risk stratification at diagnosis, leading to incorrect treatment selections. The other is the frequent resistance to chemotherapy and/or targeted therapies. Genomic features have been the focus of AML studies. However, the DNA-level aberrations do not always predict the expression levels of genes and proteins and the latter is more closely linked to disease phenotypes. With the development of high-throughput sequencing and mass spectrometry technologies, studying downstream effectors including RNA, proteins, and metabolites becomes possible. Transcriptomics can reveal gene expression and regulatory networks, proteomics can discover protein expression and signaling pathways intimately associated with the disease, and metabolomics can reflect precise changes in metabolites during disease progression. Moreover, omics profiling at the single-cell level enables studying cellular components and hierarchies of the AML microenvironment. The abundance of data from different omics layers enables the better risk stratification of AML by identifying prognosis-related biomarkers, and has the prospective application in identifying drug targets, therefore potentially discovering solutions to the two dilemmas. In this review, we summarize the existing AML studies using omics methods, both separately and combined, covering research fields of disease diagnosis, risk stratification, prognosis prediction, chemotherapy, as well as targeted therapy. Finally, we discuss the directions and challenges in the application of multi-omics in precision medicine of AML. Our review may inspire both omics researchers and clinical physicians to study AML from a different angle.</p>","PeriodicalId":54225,"journal":{"name":"Biomarker Research","volume":null,"pages":null},"PeriodicalIF":9.5000,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11165883/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomarker Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40364-024-00600-1","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

Acute myeloid leukemia (AML) is the most frequent leukemia in adults with a high mortality rate. Current diagnostic criteria and selections of therapeutic strategies are generally based on gene mutations and cytogenetic abnormalities. Chemotherapy, targeted therapies, and hematopoietic stem cell transplantation (HSCT) are the major therapeutic strategies for AML. Two dilemmas in the clinical management of AML are related to its poor prognosis. One is the inaccurate risk stratification at diagnosis, leading to incorrect treatment selections. The other is the frequent resistance to chemotherapy and/or targeted therapies. Genomic features have been the focus of AML studies. However, the DNA-level aberrations do not always predict the expression levels of genes and proteins and the latter is more closely linked to disease phenotypes. With the development of high-throughput sequencing and mass spectrometry technologies, studying downstream effectors including RNA, proteins, and metabolites becomes possible. Transcriptomics can reveal gene expression and regulatory networks, proteomics can discover protein expression and signaling pathways intimately associated with the disease, and metabolomics can reflect precise changes in metabolites during disease progression. Moreover, omics profiling at the single-cell level enables studying cellular components and hierarchies of the AML microenvironment. The abundance of data from different omics layers enables the better risk stratification of AML by identifying prognosis-related biomarkers, and has the prospective application in identifying drug targets, therefore potentially discovering solutions to the two dilemmas. In this review, we summarize the existing AML studies using omics methods, both separately and combined, covering research fields of disease diagnosis, risk stratification, prognosis prediction, chemotherapy, as well as targeted therapy. Finally, we discuss the directions and challenges in the application of multi-omics in precision medicine of AML. Our review may inspire both omics researchers and clinical physicians to study AML from a different angle.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在急性髓性白血病的诊断、预后和治疗中应用全息技术。
急性髓性白血病(AML)是成人中最常见的白血病,死亡率很高。目前的诊断标准和治疗策略的选择通常基于基因突变和细胞遗传学异常。化疗、靶向治疗和造血干细胞移植(HSCT)是治疗急性髓细胞白血病的主要策略。急性髓细胞性白血病预后不佳与临床治疗中的两个难题有关。一个是诊断时风险分层不准确,导致治疗选择错误。另一个问题是化疗和/或靶向治疗经常出现耐药性。基因组特征一直是急性髓细胞性白血病研究的重点。然而,DNA水平的畸变并不总能预测基因和蛋白质的表达水平,后者与疾病表型的关系更为密切。随着高通量测序和质谱技术的发展,研究下游效应物(包括 RNA、蛋白质和代谢物)成为可能。转录组学可以揭示基因表达和调控网络,蛋白质组学可以发现与疾病密切相关的蛋白质表达和信号通路,代谢组学可以精确反映疾病进展过程中代谢物的变化。此外,单细胞水平的 omics 分析可以研究急性髓细胞性白血病微环境的细胞成分和层次结构。来自不同全息图层的大量数据可通过确定与预后相关的生物标志物更好地对急性髓细胞白血病进行风险分层,并具有确定药物靶点的应用前景,因此有可能发现解决这两个难题的方法。在这篇综述中,我们总结了现有的使用omics方法的急性髓细胞白血病研究,包括单独研究和联合研究,涵盖疾病诊断、风险分层、预后预测、化疗以及靶向治疗等研究领域。最后,我们讨论了多组学在急性髓细胞白血病精准医疗中的应用方向和挑战。我们的综述可能会对omics研究人员和临床医生从不同角度研究AML有所启发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Biomarker Research
Biomarker Research Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
15.80
自引率
1.80%
发文量
80
审稿时长
10 weeks
期刊介绍: Biomarker Research, an open-access, peer-reviewed journal, covers all aspects of biomarker investigation. It seeks to publish original discoveries, novel concepts, commentaries, and reviews across various biomedical disciplines. The field of biomarker research has progressed significantly with the rise of personalized medicine and individual health. Biomarkers play a crucial role in drug discovery and development, as well as in disease diagnosis, treatment, prognosis, and prevention, particularly in the genome era.
期刊最新文献
Comparison and combination of mutation and methylation-based urine tests for bladder cancer detection. Advances in CAR-T therapy for central nervous system tumors. The double-edged role and therapeutic potential of TREM2 in atherosclerosis. Copper homeostasis and copper-induced cell death in tumor immunity: implications for therapeutic strategies in cancer immunotherapy. Targeting NOX2 and glycolytic metabolism as a therapeutic strategy in acute myeloid leukaemia.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1