CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Integrative analysis of T cell-associated markers in Ewing sarcoma reveals prognostic signatures and immune dynamics.
Integrative analysis of T cell-associated markers in Ewing sarcoma reveals prognostic signatures and immune dynamics.
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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。
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。
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.
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