ReviewCancer management and research2020
Genetic Characterization and Risk Stratification of Acute Myeloid Leukemia.
Review in Cancer management and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.
- Prognosis of older patients with newly diagnosed AML undergoing antileukemic therapy: A systematic review.PloS one · 2022Pooled it
- Trial
- Molecular, Cytogenetic, and Immunophenotypic Biomarkers in Acute Myeloid Leukemia: Current Evidence and Future Directions-A Narrative Review.Health science reports · 2026Article
- Cytogenetic Profile of Newly Diagnosed Acute Myeloid Leukemia Patients: Insights from a Study at a Tertiary Care Centre in South India.Asian Pacific journal of cancer prevention : APJCP · 2026Article
- Machine learning prediction for AML based on 3D genome selected circRNA.NPJ systems biology and applications · 2026Article
- Optical genome mapping as a high-resolution tool for uncovering cytogenetic complex and cryptic alterations in a cohort of patients with MDS and AML.NPJ precision oncology · 2026Article
- Epidemiology and characteristics of validated mixed phenotype acute leukaemia-A comprehensive nationwide Danish cohort study.British journal of haematology · 2026Article
- Article
- Cytogenetic Abnormalities and Their Impact on Acute Myeloid Leukemia Outcomes Following Allogeneic Hematopoietic Stem Cell Transplantation: A Single-Center Retrospective Study.Health science reports · 2025Article
- A Comprehensive Guide to Achieving New York State Clinical Laboratory Evaluation Program Approval for Next-Generation Sequencing Assays.The Journal of molecular diagnostics : JMD · 2025Article
- Identification of Prognostic Genes in Acute Myeloid Leukemia Microenvironment: A Bioinformatic and Experimental Analysis.Molecular biotechnology · 2025Article
- Single-cell transcriptomic analysis identified resistant MDSCs and a stress-tolerant gene co-expression network as common MDSC features across multiple disease settings.Frontiers in immunology · 2025Article
- Exploring the Prevalence and Prognostic Impact of Wilms Tumor 1 Exon 7 Mutation Status with Combinations of FLT3-ITD and NPM1 Mutations as Potential Molecular Biomarkers in Acute Myeloid Leukemia Patients with Normal Cytogenetics.Asian Pacific journal of cancer prevention : APJCP · 2024Article
- Artificial intelligence reveals the predictions of hematological indexes in children with acute leukemia.BMC cancer · 2024Article
- Clinical Outcomes and Treatment Patterns in Adults With FLT3-ITDTransplantation and cellular therapy · 2024Observational
- Treatment outcomes of pediatrics acute myeloid leukemia (AML) and associated factors in the country's tertiary referral hospital, Ethiopia.BMC cancer · 2024Article
- Proteomics for optimizing therapy in acute myeloid leukemia: venetoclax plus hypomethylating agents versus conventional chemotherapy.Leukemia · 2024Article
- Screening of a Prognostic Gene Signature for Relapsed/Refractory Acute Myeloid Leukemia Based on Altered Circulating CircRNA Profiles.International journal of general medicine · 2024Article
- Clinical significance of WT1 in the evaluation of therapeutic effect and prognosis of non-M3 acute myeloid leukemia.Cancer biology & therapy · 2023Article
- Identification of a Complex Karyotype Signature with Clinical Implications in AML and MDS-EB Using Gene Expression Profiling.Cancers · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The most common acute leukemia in adults is acute myeloid leukemia (AML). The pathophysiology of the disease associates with cytogenetic abnormalities, gene mutations and aberrant gene expressions. At the molecular level, the disease manifests as changes in both epigenetic and genetic signatures. At the clinical level, two aspects of AML should be taken into account. First, the molecular changes occurring in the disease are important prognostic and predictive markers of AML. Second, use of novel therapies targeting these molecular changes. Currently, cytogenetic abnormalities and molecular alterations are the common biomarkers for the prognosis and choice of treatment for AML. Finding a panel of multiple biomarkers is a crucial diagnostic step for patient classification and serves as a prerequisite for individualized treatment strategies. Furthermore, the most important way of identifying relevant targets for new treatment approaches is defining specific patterns or a spectrum of driver gene mutations occurring in AML. Then, an algorithm can be established by the use of several biomarkers, to be used for personalized medicine. This review deals with molecular alterations, risk stratification, and relevant therapeutic decision-making in AML.
Indexed as
Identifiers
What OpenQuestion holds
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.