ICOS和PD-1的共表达增加预示着急性髓性白血病患者的总生存率较低

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-04-11 DOI:10.1016/j.imbio.2024.152804
Shiyi Pan , Qinghua Cai , Yiqiong Wei , Tang Haifeng , Yuping Zhang , Wei Zhou , Tingfen Deng , Wenjian Mo , Shunqing Wang , Caixia Wang , Cunte Chen
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引用次数: 0

摘要

背景诱导性共刺激因子(ICOS)具有双重作用:激活细胞毒性T细胞对抗肿瘤或加剧调节性T细胞(Tregs)的免疫抑制以参与免疫逃避。然而,ICOS及其与抑制性免疫检查点(IICs)的共同表达与急性髓性白血病(AML)预后之间的相关性却鲜为人知。结果在GZFPH和TCGA队列中,ICOS的高表达与急性髓性白血病患者的总生存期(OS)差显著相关(P< 0.05)。重要的是,ICOS与PD-1、PD-L1、PD-L2、CTLA-4和LAG-3的共同表达预示着急性髓细胞性白血病患者的不良生存率;其中,ICOS/PD-1是免疫检查点(ICs)的最佳组合。ICOS和PD-1的共同表达与非急性早幼粒细胞白血病(非APL)患者化疗后的不良OS相关。此外,ICOS/PD-1还是一个独立的OS预测因子(P < 0.05)。值得注意的是,通过将 ICOS/PD-1、年龄、欧洲白血病网(ELN)风险分层和治疗相结合,构建了一个提名图模型,可直观、个性化地预测非 APL 患者 1 年、3 年和 5 年的 OS。
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Increased co-expression of ICOS and PD-1 predicts poor overall survival in patients with acute myeloid leukemia

Background

Inducible co-stimulatory factor (ICOS) has a dual role: activating cytotoxic T cells against tumors or exacerbating immunosuppression of regulatory T cells (Tregs) to participate in immune evasion. However, the correlation between ICOS and its co-expression with inhibitory immune checkpoints (IICs) and prognosis in acute myeloid leukemia (AML) is little known.

Methods

The prognostic importance of ICOS and IICs in 62 bone marrow (BM) samples of de novo AML patients from our clinical center (GZFPH) was explored and then the RNA sequencing data of 155 AML patients from the Cancer Genome Atlas (TCGA) database was used for validation.

Results

In both GZFPH and TCGA cohorts, high expression of ICOS was significantly associated with poor overall survival (OS) in patients with AML (P < 0.05). Importantly, co-expression of ICOS and PD-1, PD-L1, PD-L2, CTLA-4, and LAG-3 predicted poor OS in AML; among them, ICOS/PD-1 was the optimal combination of immune checkpoints (ICs). The co-expression of ICOS and PD-1 was correlated with poor OS in non-acute promyelocytic leukemia (non-APL) patients following chemotherapy. Additionally, ICOS/PD-1 was an independent OS-predicting factor (P < 0.05). Notably, a nomogram model was constructed by combining ICOS/PD-1, age, European Leukemia Net (ELN) risk stratification, and therapy to visually and personalized predict the 1-, 3-, and 5-year OS of patients with non-APL.

Conclusion

Increased expression of ICOS predicted poor outcomes, and ICOS/PD-1 was the optimal combination of ICs to predict outcomes in patients with AML, which might be a potential immune biomarker for designing novel AML therapy.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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