ArticleGenes2023
A Comprehensive Metabolism-Related Gene Signature Predicts the Survival of Patients with Acute Myeloid Leukemia.
Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed, 10 citations in OpenAlex.
- A proteogenomic gene signature defines prognostic subgroups highlighting PI3K/AKT/mTOR signaling pathway as a therapeutic vulnerability in myeloid malignancies.Cell communication and signaling : CCS · 2025Article
- Integrated network propagation identifies prognostic metabolic signatures in acute myeloid leukemia.Journal of translational medicine · 2025Article
- ASAH1-mediated sphingolipid metabolic reprogramming in venetoclax resistance of AML: beyond the monocytic phenotypes.BMC cancer · 2025Article
- Plasma lipid levels predict chemotherapy response and survival in acute myeloid leukemia.Blood · 2025Article
- Cellular and molecular features of acute myeloid leukemia investigation based on single-cell RNA sequencing.Cancer cell international · 2025Article
- Relationship between specific microRNA expression and radioresistant conditions in HL60 acute myeloid leukemia cells.Molecular medicine reports · 2025Article
- TRIB1 silencing attenuates epilepsy by restoring mitochondrial homeostasis and suppressing microglia-driven neuroinflammation via MAPK pathway inhibition.Journal of molecular histology · 2025Article
- Article
- Prognostic implications of metabolism-related genes in acute myeloid leukemia.Frontiers in genetics · 2024Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
(1) Background: Acute myeloid leukemia (AML) is a clonal malignancy with heterogeneity in genomics and clinical outcome. Metabolism reprogramming has been increasingly recognized to play an important role in the leukemogenesis and prognosis in AML. A comprehensive prognostic model based on metabolism signatures has not yet been developed. (2) Methods: We applied Cox regression analysis and the least absolute shrinkage and selection operator (LASSO) normalization to establish a metabolism-related prognostic gene signature based on glycolysis, fatty acid metabolism, and the tricarboxylic acid cycle gene signatures. The Cancer Genome Atlas-Acute Myeloid Leukemia-like (TCGA-LAML) cohort was set as the training dataset for model construction. Three independent AML cohorts (GSE37642, GSE10358, and GSE12417) combined from Gene Expression Omnibus (GEO) datasets and the Beat-AML dataset were retrieved as two validation sets to test the robustness of the model. The transcriptome data and clinic information of the cohorts were enrolled for the analysis. (3) Results: Divided by the median value of the metabolism risk score, the five-year overall survival (OS) of the high-risk and low-risk groups in the training set were 8.2% and 41.3% (
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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.