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A Six-Gene Risk Model Based on the Immune Score Reveals Prognosis in Intermediate-Risk Acute Myeloid Leukemia
Cong Lu1,2, Dong Hu1,2, Jin'e Zheng1,2
1Center for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Biomed Research International
|May 9, 2022
Summary
The tumor microenvironment (TME) impacts acute myeloid leukemia (AML) patient outcomes. A novel TME-based risk score using six immune genes predicts survival in intermediate-risk AML patients, offering potential therapeutic targets.
Area of Science:
- Oncology
- Immunology
- Bioinformatics
Background:
- The tumor microenvironment (TME) is critical for acute myeloid leukemia (AML) diagnosis and treatment response.
- Understanding TME composition is essential for predicting AML patient outcomes, particularly in the intermediate-risk group.
Purpose of the Study:
- To investigate the role of TME in intermediate-risk AML.
- To develop and validate a TME-based gene signature for predicting patient survival.
Main Methods:
- Calculated immune and stromal cell scores in AML using TCGA data.
- Identified differentially expressed genes and performed enrichment analyses.
- Developed and validated a six-immune-gene risk score model.
Main Results:
- Lower immune scores correlated with longer overall survival in AML patients (P = 0.044).
- Identified 805 differentially expressed genes primarily associated with immune/inflammatory responses.
- Validated a six-gene TME risk score in TCGA and TARGET databases (P = 0.005).
Conclusions:
- A TME-related gene signature significantly impacts outcomes in intermediate-risk AML.
- This signature, including MEF2C, ENPP2, FAM107A, CD37, TNFAIP8L2, and CASS4, may serve as a therapeutic target for AML.
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