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

Authors :
Zeyi Li
Peng Jin
Rufang Xiang
Xiaoyang Li
Jie Shen
Mengke He
Xiaxin Liu
Hongming Zhu
Shishuang Wu
Fangyi Dong
Huijin Zhao
Han Liu
Zhen Jin
Junmin Li
Source :
Frontiers in Immunology; 2024, p1-13, 13p
Publication Year :
2024

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<superscript>+</superscript> T cells and the prognosis of AML patients. To develop a CD8<superscript>+</superscript> T cell-related immune risk score for AML, we first evaluated the accuracy of CIBERSORTx in predicting the abundance of CD8<superscript>+</superscript> T cells in bulk RNA-seq and found it significantly correlated with observed singlecell RNA sequencing data and the proportions of CD8<superscript>+</superscript> 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<superscript>+</superscript> THigh and CD8<superscript>+</superscript> TLow 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<superscript>+</superscript> T cell-related signature could improve the comprehensive risk stratification and prognosis prediction in AML. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16643224
Database :
Complementary Index
Journal :
Frontiers in Immunology
Publication Type :
Academic Journal
Accession number :
179957059
Full Text :
https://doi.org/10.3389/fimmu.2024.1408109