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
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To develop a CD8<jats:sup>+</jats:sup> T cell-related immune risk score for AML, we first evaluated the accuracy of CIBERSORTx in predicting the abundance of CD8<jats:sup>+</jats:sup> T cells in bulk RNA-seq and found it significantly correlated with observed single-cell RNA sequencing data and the proportions of CD8<jats:sup>+</jats: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<jats:sup>+</jats:sup> T<jats:sup>High</jats:sup> and CD8<jats:sup>+</jats:sup> T<jats:sup>Low</jats: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. 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引用次数: 0
摘要
尽管基因组学和表观遗传学研究的进展加深了我们对急性髓性白血病(AML)的了解,但只有三分之一的患者能获得持久缓解。越来越多的证据表明,骨髓中的免疫微环境影响着急性髓细胞白血病的预后和存活。CD8+ T细胞与急性髓细胞性白血病患者的预后有特定的联系。为了开发与 CD8+ T 细胞相关的急性髓细胞白血病免疫风险评分,我们首先评估了 CIBERSORTx 预测大量 RNA-seq 中 CD8+ T 细胞丰度的准确性,发现它与观察到的单细胞 RNA 测序数据和流式细胞术得出的 CD8+ T 细胞比例显著相关。接下来,我们通过对 CD8+ THigh 组和 CD8+ TLow 组的差异表达基因进行单变量和 LASSO 回归,构建了 15 个基因的预后特征 CTCG15。CTCG15 在不同平台的六个数据集上得到了进一步验证。结果表明,CTCG15 独立于已有的预后标志物,并能提炼出与急性髓细胞性白血病患者预后密切相关的几种基因异常的转录组后果。最后,将该模型纳入 2022 年欧洲白血病网络有助于提高预后预测能力。总之,我们的研究表明,CD8+ T 细胞相关特征可以改善急性髓细胞白血病的综合风险分层和预后预测。
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+ T cells and the prognosis of AML patients. To develop a CD8+ T cell-related immune risk score for AML, we first evaluated the accuracy of CIBERSORTx in predicting the abundance of CD8+ T cells in bulk RNA-seq and found it significantly correlated with observed single-cell RNA sequencing data and the proportions of CD8+ 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+ THigh and CD8+ 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+ T cell-related signature could improve the comprehensive risk stratification and prognosis prediction in AML.
期刊介绍:
ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.