ReviewBiomarker research2024
Application of omics in the diagnosis, prognosis, and treatment of acute myeloid leukemia.
Review in Biomarker research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Epigenetics and In Silico Transcriptome Analysis of Pediatric Acute Myeloid Leukemia.European journal of haematology · 2026Review
- Integrative multi-omics, machine learning, and experimental validation reveal that TPM1 suppresses M2 macrophage polarization and enhances chemosensitivity in acute myeloid leukemia.Cell biology and toxicology · 2026Article
- Dual relevance ofFrontiers in oncology · 2026Article
- Comprehensive management of hematopoietic stem cell transplantation complications: from infection prevention to immune microenvironment reconstruction.Frontiers in immunology · 2026Review
- Multi-omics classification of acute myeloid leukemia guides drug combinations to overcome Venetoclax resistance.Cancer drug resistance (Alhambra, Calif.) · 2026Article
- Plasma lipid levels predict chemotherapy response and survival in acute myeloid leukemia.Blood · 2025Article
- A Mutational Landscape in Acute Myeloid Leukemia: Overview and Prognostic Impacts.Diagnostics (Basel, Switzerland) · 2025Review
- Integrating multi-omics approaches in acute myeloid leukemia (AML): Advancements and clinical implications.Clinical and experimental medicine · 2025Review
- Illuminating diabetesWorld journal of diabetes · 2025Review
- Beyond ADME: The Endogenous Functions of Drug Transporters and Its Impact on Human Disease.Pharmaceutics · 2025Review
- Prognostic value of natural killer T cell related genes in acute myeloid leukemia.Cancer cell international · 2025Article
- Decoding Acute Myeloid Leukemia: A Clinician's Guide to Functional Profiling.Diagnostics (Basel, Switzerland) · 2024Review
- Single-cell dissection reveals promotive role of ENO1 in leukemia stem cell self-renewal and chemoresistance in acute myeloid leukemia.Stem cell research & therapy · 2024Article
- Proteomics in Acute Myeloid Leukemia: Current Applications in Precision Medicine and Targeted Immunotherapy.Technology in cancer research & treatmentReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.