Prognostic assessment value of immune escape-related genes in patients with acute myeloid leukemia

This study explores the prognostic value of immune escape-related genes in acute myeloid leukemia (AML) patients. Using TARGET_AML and GSE37642 datasets, we identified CEP55, DNAJC13, and EMC2 as significant prognostic indicators, with high transcript abundance correlating with poor outcomes. Consensus clustering divided patients into two groups, with Cluster 1 showing worse prognosis. A prognostic signature based on these genes stratified patients into high- and low-risk groups, with the high-risk group experiencing worse outcomes. The risk score was an independent prognostic factor. Functional analysis revealed that high-risk genes could promote cell cycle progression. The selected genes were strongly associated with immune cells, particularly mast cells and CD8+ T cells. This study enriches the prognostic evaluation system for AML and suggests a new therapeutic direction.

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Publication Details

Journal
Leukemia & lymphoma/Leukemia and lymphoma
Published
2024-09-23
DOI
https://doi.org/10.1080/10428194.2024.2404957
Citations
2
Primary Topic
Immune Cell Function and Interaction
Type
article
Field-Weighted Citation Impact
0.48
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article

Prognostic assessment value of immune escape-related genes in patients with acute myeloid leukemia

Congjie Chen, Longtian Chen, Xiaohui Shangguan, Xiaomei Ma et al.
2 citations
Leukemia & lymphoma/Leukemia and lymphoma
Immune Cell Function and Interaction
0.48
article

Prognostic assessment value of immune escape-related genes in patients with acute myeloid leukemia

Congjie Chen, Longtian Chen, Xiaohui Shangguan, Xiaomei Ma, Jianqing Huang, Weihao Wu, Yanhong Huang, Chongdeng You
article en
2 citations

Abstract

This study explores the prognostic value of immune escape-related genes in acute myeloid leukemia (AML) patients. Using TARGET_AML and GSE37642 datasets, we identified CEP55, DNAJC13, and EMC2 as significant prognostic indicators, with high transcript abundance correlating with poor outcomes. Consensus clustering divided patients into two groups, with Cluster 1 showing worse prognosis. A prognostic signature based on these genes stratified patients into high- and low-risk groups, with the high-risk group experiencing worse outcomes. The risk score was an independent prognostic factor. Functional analysis revealed that high-risk genes could promote cell cycle progression. The selected genes were strongly associated with immune cells, particularly mast cells and CD8+ T cells. This study enriches the prognostic evaluation system for AML and suggests a new therapeutic direction.

Leukemia & lymphoma/Leukemia and lymphomaVol. 66(1)
Fujian Medical University (CN), First Affiliated Hospital of Fujian Medical University (CN)
Openalex Percentile: Top 35%
Immune Cell Function and Interaction
0.48
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Prognostic assessment value of immune escape-related genes in patients with acute myeloid leukemia — Congjie Chen, Longtian Chen, et al. · Leukemia & lymphoma/Leukemia and lymphoma (2024) | TGRS Research Map | TGRS