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尤因肉瘤中 T 细胞相关标志物的整合分析揭示了预后特征和免疫动态

英文原题:Integrative analysis of T cell-associated markers in Ewing sarcoma reveals prognostic signatures and immune dynamics.

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Integrative analysis of T cell-associated markers in Ewing sarcoma reveals prognostic signatures and immune dynamics.

PubMed 2025/06/18(内容时间) Front Immunol Q1 · IF 7(JCR 2025)

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研究概要

我们的研究确定了 CLEC11A、BDP1 和 ID3 作为关键的 T 细胞相关预后标志物,并开发了一个经过验证的模型来预测 ES 的生存结局。对 T 细胞标志物和肿瘤免疫动力学的深入了解为 ES 的预后评估和免疫治疗提供了有前景的进展。此外,ID3 在免疫逃逸和肿瘤增殖中的作用强调了其作为治疗靶点的潜力,为免疫检查点调控和个性化治疗策略提供了新途径。

研究思路结论见上方概要

尤文肉瘤(ES)是一种罕见且侵袭性强的儿童骨恶性肿瘤,预后较差,其驱动因素为治疗耐药的肿瘤微环境(TME)。TME通过免疫细胞(功能失调的T细胞、免疫抑制性巨噬细胞)、基质成分(癌症相关成纤维细胞)和肿瘤细胞之间复杂而动态的相互作用的网络,在肿瘤进展中发挥关键作用。这些相互作用共同塑造免疫景观,促进免疫逃逸,并导致治疗耐药。识别可靠的预后标志物仍然是一项关键挑战。

在此,我们进行了单细胞RNA测序、WGCNA和bulk RNA-seq的整合分析,以探究肿瘤-免疫相互作用。差异表达基因(DEGs)与T细胞标志物的交集共鉴定出174个T细胞相关基因。通过功能富集分析和分子分型探索免疫相关通路。基于CLEC11A、BDP1和ID3,利用Cox回归构建了预后模型,并在外部数据集中进行了验证。使用CIBERSORT算法评估了免疫浸润情况。

T细胞标志物分析揭示了其在PI3K-Akt信号通路和免疫调节等通路中的关键作用。分子分型识别出两个具有不同免疫微环境的聚类:Cluster C1(免疫抑制表型,预后较差)和Cluster C2(功能活跃的免疫特征,预后较好)。预后模型对1年、3年和5年生存率表现出较高的预测准确性(AUC:0.85、0.82、0.78)。此外,在高危组中观察到较高的肿瘤突变负荷(TMB)和较低的生存率。免疫浸润分析显示,低危组中CD8+ T细胞和树突状细胞活性以及免疫检查点表达较高。实验验证表明,ID3沉默抑制了ES细胞系中的肿瘤细胞增殖并诱导了细胞周期阻滞。

展开英文摘要原文

Ewing sarcoma (ES) is a rare and aggressive pediatric bone malignancy with poor prognosis, driven by therapy-resistant tumor microenvironments (TME). The TME plays a critical role in tumor progression through a complex and dynamic network of reciprocal interactions among immune cells (dysfunctional T cells, immunosuppressive macrophages), stromal components (cancer-associated fibroblasts), and tumor cells. These interactions collectively shape the immune landscape, promote immune evasion, and contribute to therapeutic resistance. Identifying reliable prognostic markers remains a critical challenge.

Here we performed an integrated single-cell RNA sequencing, WGCNA, and bulk RNA-seq analyses to investigate tumor-immune interactions. Differentially expressed genes (DEGs) intersected with T cell markers identified a total of 174 T cell-associated genes. Functional enrichment analysis and molecular subtyping were performed to explore immune-related pathways. A prognostic model based on CLEC11A , BDP1 , and ID3 was constructed using Cox regression and validated in external datasets. Immune infiltration was assessed using the CIBERSORT algorithm.

T cell marker analyses revealed key roles in pathways such as PI3K-Akt signaling and immune modulation. Molecular subtyping identified two clusters with distinct immune microenvironments: Cluster C1 (immunosuppressive phenotype and poorer prognosis) and Cluster C2 (functionally active immune profile associated with better prognosis). The prognostic model demonstrated high predictive accuracy for 1-, 3-, and 5-year survival (AUC: 0.85, 0.82, 0.78). Additionally, a higher tumor mutation burden (TMB) with low survival rate has been observed in High-risk group. Immune infiltration analysis showed higher CD8+ T cell and dendritic cell activity and immune checkpoint expression in low-risk groups. Experimental validation demonstrated that ID3 silencing inhibited tumor cell proliferation and induced cell cycle arrest in ES cell lines.

Together, our study identified CLEC11A , BDP1 , and ID3 as key T cell associated prognostic markers and developed a validated model to predict survival outcomes in ES. Insights into T cell markers and tumor-immune dynamics offer promising advances in prognostic assessment and immunotherapy for ES. Furthermore, the role of ID3 in immune evasion and tumor proliferation underscores its potential as a therapeutic target, providing new avenues for immune checkpoint regulation and personalized treatment strategies.

论文信息

作者
Saddozai UAK、Liu C、Yan F、Lu Z、Khawar MB、Akbar MU、Khattak S、Sun H
第一作者单位
Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, Jiangsu, China.China
通讯作者单位
Department of Oncology, The Eighth People's Hospital of Shanghai, Shanghai, China.China
期刊
Frontiers in immunology2025
原文标识
PubMed 40607387 · DOI 10.3389/fimmu.2025.1586544