ArticleOncotarget2015
An mRNA expression signature for prognostication in de novo acute myeloid leukemia patients with normal karyotype.
Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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Who cites it
48 citing papers in PubMed, 58 citations in OpenAlex.
- Distinct clinical and biological characteristics of acute myeloid leukemia with higher expression of long noncoding RNA KIAA0125.Annals of hematology · 2021Trial
- A mitochondrial-based prognostic score for risk stratification in acute myeloid leukemia.Blood research · 2026Article
- Leveraging Deep Learning to Construct a Programmed Cell Death-Driven Prognostic Signature in Acute Myeloid Leukemia.Current issues in molecular biology · 2026Article
- MORC2 promotes acute myeloid leukemia by silencing LINE-1 retrotransposon.Functional & integrative genomics · 2026Article
- A cancer-testis antigen signature for predicting prognosis and response to immunotherapy in acute myeloid leukemia.Medicine · 2025Article
- Upregulation of ALDH1 as an adaptive epigenetic response to anthracyclines in acute myeloid leukemia.HemaSphere · 2025Article
- Signature of leukemia stem cell death pattern predicts prognosis and therapeutic response of acute myeloid leukemia patients.Scientific reports · 2025Article
- Leveraging diverse liquid-liquid phase separation patterns to predict the prognosis and immunotherapy of pediatric acute myeloid leukemia.BMC cancer · 2025Article
- Identifying acute myeloid leukemia subtypes based on pathway enrichment.Frontiers in pharmacology · 2025Article
- Unlocking reproducible transcriptomic signatures for acute myeloid leukaemia: Integration, classification and drug repurposing.Journal of cellular and molecular medicine · 2024Article
- High temporal resolution prediction of mortality risk for single AML patient via deep learning.iScience · 2024Article
- Integrated drug resistance and leukemic stemness gene-expression scores predict outcomes in large cohort of over 3500 AML patients from 10 trials.NPJ precision oncology · 2024Article
- T cell-mediated tumor killing sensitivity gene signature-based prognostic score for acute myeloid leukemia.Discover oncology · 2024Article
- The enhancement of immunoactivity induced by immunogenic cell death through serine/threonine kinase 10 inhibition: a potential therapeutic strategy.Frontiers in immunology · 2024Article
- High expression of malic enzyme 1 predicts adverse prognosis in patients with cytogenetically normal acute myeloid leukaemia and promotes leukaemogenesis through the IL-6/JAK2/STAT3 pathways.Therapeutic advances in hematology · 2024Article
- Integrated Analysis of Single-Cell RNA-Seq and Bulk RNA-Seq Unravels the Molecular Feature of Tumor-Associated Macrophage of Acute Myeloid Leukemia.Genetics research · 2024Article
- Optimal combination of immune checkpoint and senescence molecule predicts adverse outcomes in patients with acute myeloid leukemia.Annals of medicine · 2023Article
- Pan-cancer analysis revealing that PTPN2 is an indicator of risk stratification for acute myeloid leukemia.Scientific reports · 2023Article
- The expression level of Neuronal Calcium Sensor 1 can predict the prognosis of cytogenetically normal AML.The pharmacogenomics journal · 2023Article
- The molecular and clinical role of Tensin 1/2/3 in cancer.Journal of cellular and molecular medicine · 2023Review
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although clinical features, cytogenetics, and mutations are widely used to predict prognosis in patients with acute myeloid leukemia (AML), further refinement of risk stratification is necessary for optimal treatment, especially in cytogenetically normal (CN) patients. We sought to generate a simple gene expression signature as a predictor of clinical outcome through analyzing the mRNA arrays of 158 de novo CN AML patients. We compared the gene expression profiles of patients with poor response to induction chemotherapy with those who responded well. Forty-six genes expressed differentially between the two groups. Among them, expression of 11 genes was significantly associated with overall survival (OS) in univariate Cox regression analysis in 104 patients who received standard intensive chemotherapy. We integrated the z-transformed expression levels of these 11 genes to generate a risk scoring system. Higher risk scores were significantly associated with shorter OS (median 17.0 months vs. not reached, P < 0.001) in ours and another 3 validation cohorts. In addition, it was an independent unfavorable prognostic factor by multivariate analysis (HR 1.116, 95% CI 1.035~1.204, P = 0.004). In conclusion, we developed a simple mRNA expression signature for prognostication in CN-AML patients. This prognostic biomarker will help refine the treatment strategies for this group of patients.
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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.