A CD8+ T cell related immune score predicts survival and refines the risk assessment in acute myeloid leukemia

Although advancements in genomic and epigenetic research have deepened our understanding of acute myeloid leukemia (AML), only one-third of patients can achieve durable remission. Growing evidence suggests that the immune microenvironment in bone marrow influences prognosis and survival in AML. There is a specific association between CD8<sup>+</sup> T cells and the prognosis of AML patients. To develop a CD8<sup>+</sup> T cell-related immune risk score for AML, we first evaluated the accuracy of CIBERSORTx in predicting the abundance of CD8<sup>+</sup> T cells in bulk RNA-seq and found it significantly correlated with observed single-cell RNA sequencing data and the proportions of CD8<sup>+</sup> T cells derived from flow cytometry. Next, we constructed the CTCG15, a 15-gene prognostic signature, using univariate and LASSO regression on the differentially expressed genes between CD8<sup>+</sup> T<sup>High</sup> and CD8<sup>+</sup> T<sup>Low</sup> groups. The CTCG15 was further validated across six datasets in different platforms. The CTCG15 has been shown to be independent of established prognostic markers, and can distill transcriptomic consequences of several genetic abnormalities closely related to prognosis in AML patients. Finally, integrating this model into the 2022 European LeukemiaNet contributed to a higher predictive power for prognosis prediction. Collectively, our study demonstrates that CD8<sup>+</sup> T cell-related signature could improve the comprehensive risk stratification and prognosis prediction in AML.

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Publication Details

Journal
Frontiers in Immunology
Published
2024-09-12
DOI
https://doi.org/10.3389/fimmu.2024.1408109
Citations
2
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
0.91

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article

A CD8+ T cell related immune score predicts survival and refines the risk assessment in acute myeloid leukemia

Rufang Xiang, Zeyi Li, Zhen Jin, Mengke He et al.
2 citations
Frontiers in Immunology
Acute Myeloid Leukemia Research
0.91
article

A CD8+ T cell related immune score predicts survival and refines the risk assessment in acute myeloid leukemia

Rufang Xiang, Zeyi Li, Zhen Jin, Mengke He, Jie Shen, Xiaxin Liu, Shishuang Wu, Fangyi Dong, Xiaoyang Li, Junmin Li, Peng Jin, Han Liu, Hongming Zhu, Huijin Zhao
article en
2 citations

Abstract

Although advancements in genomic and epigenetic research have deepened our understanding of acute myeloid leukemia (AML), only one-third of patients can achieve durable remission. Growing evidence suggests that the immune microenvironment in bone marrow influences prognosis and survival in AML. There is a specific association between CD8<sup>+</sup> T cells and the prognosis of AML patients. To develop a CD8<sup>+</sup> T cell-related immune risk score for AML, we first evaluated the accuracy of CIBERSORTx in predicting the abundance of CD8<sup>+</sup> T cells in bulk RNA-seq and found it significantly correlated with observed single-cell RNA sequencing data and the proportions of CD8<sup>+</sup> T cells derived from flow cytometry. Next, we constructed the CTCG15, a 15-gene prognostic signature, using univariate and LASSO regression on the differentially expressed genes between CD8<sup>+</sup> T<sup>High</sup> and CD8<sup>+</sup> T<sup>Low</sup> groups. The CTCG15 was further validated across six datasets in different platforms. The CTCG15 has been shown to be independent of established prognostic markers, and can distill transcriptomic consequences of several genetic abnormalities closely related to prognosis in AML patients. Finally, integrating this model into the 2022 European LeukemiaNet contributed to a higher predictive power for prognosis prediction. Collectively, our study demonstrates that CD8<sup>+</sup> T cell-related signature could improve the comprehensive risk stratification and prognosis prediction in AML.

Frontiers in ImmunologyVol. 15
Shanghai Jiao Tong University (CN), Ruijin Hospital (CN), Shanghai Institute of Hematology (CN)
Shanghai Jiao Tong University, Shanghai Rising-Star Program, National Key Research and Development Program of China
Openalex Percentile: Top 23%
Acute Myeloid Leukemia Research
0.91
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