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High Expression of GPR183 Predicts Poor Survival in Cytogenetically Normal Acute Myeloid Leukemia.

Biochemical genetics 2026 Vol.64(1) p. 231-242

Zhuang H, Li F, Pei R, Jiang X, Chen D, Li S, Ye P, Yuan J, Lian J, Jin J, Lu Y

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Acute myeloid leukemia (AML) with a normal karyotype (CN-AML) constitutes approximately 50% of all AML cases, presenting significant prognostic variability, and highlighting the urgent need for the id

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  • p-value P = 0.046
  • p-value P = 0.030

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BibTeX ↓ RIS ↓
APA Zhuang H, Li F, et al. (2026). High Expression of GPR183 Predicts Poor Survival in Cytogenetically Normal Acute Myeloid Leukemia.. Biochemical genetics, 64(1), 231-242. https://doi.org/10.1007/s10528-025-11026-1
MLA Zhuang H, et al.. "High Expression of GPR183 Predicts Poor Survival in Cytogenetically Normal Acute Myeloid Leukemia.." Biochemical genetics, vol. 64, no. 1, 2026, pp. 231-242.
PMID 39820826

Abstract

Acute myeloid leukemia (AML) with a normal karyotype (CN-AML) constitutes approximately 50% of all AML cases, presenting significant prognostic variability, and highlighting the urgent need for the identification of novel molecular biomarkers. In this study, we systematically assessed GPR183 expression levels using qRT-PCR in our clinical follow-up study which included 283 CN-AML patients. Using Kaplan-Meier analysis, we found that patients with high GPR183 expression levels exhibited significantly worse overall survival (OS) (P = 0.046) and event-free survival (EFS) (P = 0.030) compared to those with low GPR183 expression. Comprehensive univariate and multivariate Cox regression analyses confirmed that GPR183 expression is a prognostic factor for OS and EFS (P < 0.05). To further validate these findings, we analyzed an independent cohort of 104 CN-AML patients from the GSE71014 dataset, corroborating our primary results, and indicating that high GPR183 expression is associated with poorer survival outcomes. Additionally, RNA-seq data from the GSE71014 dataset were analyzed by Gene Set Enrichment Analysis (GSEA). The results suggested that GPR183 may influence disease progression through the activation of the "TNFa Signaling Via NF-κB" pathway. Collectively, these findings suggested that GPR183 could serve as a valuable prognostic biomarker in CN-AML, offering insights into the underlying mechanisms of disease progression.

MeSH Terms

Humans; Leukemia, Myeloid, Acute; Receptors, G-Protein-Coupled; Female; Male; Middle Aged; Prognosis; Adult; Biomarkers, Tumor; Aged

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