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新抗原负荷作为早期非小细胞肺癌复发的预测指标:影响预后的正负性特征

Neoantigen load as a predictor of relapse in early-stage NSCLC: features that agonise and antagonise prognosis.

作者信息

Ye Linda, Dick Ian, Robinson Bruce W, Creaney Jenette, Redwood Alec

机构信息

National Centre for Asbestos Related Diseases, Medical School, University of Western Australia, Nedlands, Australia.

Department of Medical Oncology, Royal Perth Hospital, Perth, Australia.

出版信息

Cancer Immunol Immunother. 2025 Aug 6;74(9):285. doi: 10.1007/s00262-025-04131-y.

Abstract

BACKGROUND

Neoantigen-specific immune responses may help prevent cancer recurrence. We evaluated whether neoantigen load and/or properties could predict survival in early-stage non-small cell lung cancer (NSCLC).

METHODS

Whole-exome sequencing (WES) data from 89 resected early-stage NSCLC patients were used to identify non-synonymous single-nucleotide variants (nsSNV) and to predict major histocompatibility complex class I neoantigens. Neoantigen load, differential aggretopicity index (DAI), neoantigen frequency (number of neoantigens per nsSNV) and neoantigen promiscuity (ability to bind multiple human leucocyte antigen (HLA) alleles) were assessed for association with time to recurrence (TTR) and recurrence-free survival (RFS).

RESULTS

Higher neoantigen load was independently associated with longer TTR (p = 0.028). A greater number of neoantigens with high DAI (≥ 10) were associated with improved TTR (p = 0.008) whilst increased neoantigen promiscuity correlated with both longer TTR (p = 0.007) and RFS (p = 0.010). Conversely, elevated neoantigen frequency predicted a worse prognosis (TTR p = 0.016).

CONCLUSIONS

These data support a role for T cells in on-going immunosurveillance in resected NSCLC patients and suggest that both quality and quantity of neoantigens are important drivers of anti-cancer immunity and may inform future biomarker and immunotherapy development.

摘要

背景

新抗原特异性免疫反应可能有助于预防癌症复发。我们评估了新抗原负荷和/或特性是否可以预测早期非小细胞肺癌(NSCLC)患者的生存率。

方法

利用89例接受手术切除的早期NSCLC患者的全外显子组测序(WES)数据来识别非同义单核苷酸变异(nsSNV)并预测主要组织相容性复合体I类新抗原。评估新抗原负荷、差异聚集倾向指数(DAI)、新抗原频率(每个nsSNV的新抗原数量)和新抗原多态性(结合多个人类白细胞抗原(HLA)等位基因的能力)与复发时间(TTR)和无复发生存期(RFS)的相关性。

结果

较高的新抗原负荷与较长的TTR独立相关(p = 0.028)。大量具有高DAI(≥10)的新抗原与改善的TTR相关(p = 0.008),而新抗原多态性增加与较长的TTR(p = 0.007)和RFS(p = 0.010)均相关。相反,新抗原频率升高预示着预后较差(TTR p = 0.016)。

结论

这些数据支持T细胞在接受手术切除的NSCLC患者持续免疫监视中的作用,并表明新抗原的质量和数量都是抗癌免疫的重要驱动因素,可能为未来生物标志物和免疫治疗的发展提供信息。

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