CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Biomarkers for predicting the efficacy of immune checkpoint inhibitors.
Biomarkers for predicting the efficacy of immune checkpoint inhibitors.
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免疫检查点阻断极大地改变了癌症治疗的格局,并为癌症患者显示出有希望的预后。然而,仍有很大一部分患者对这种治疗没有反应。因此,研究预测免疫检查点抑制剂疗效的生物标志物至关重要。本文总结了已建立的生物标志物的预测价值,包括程序性细胞死亡配体1(PD-L1)表达水平、肿瘤突变负荷、TIL(肿瘤浸润淋巴细胞)和错配修复缺陷。它还讨论了肿瘤突变、循环因子、免疫相关因素和肠道微生物组对免疫治疗治疗的预测价值。此外,还讨论了一些新兴的新型生物标志物,以及超进展性疾病的潜在标志物,这些应在未来的临床试验中得到验证。
Immune checkpoint blockade has vastly changed the landscape of cancer treatment and showed a promising prognosis for cancer patients.
However, there is still a large portion of patients who have no response to this therapy.
Therefore, it's essential to investigate biomarkers to predict the efficacy of immune checkpoint inhibitors. This article summarizes the predictive value of established biomarkers, including programmed cell death ligand 1(PD-L1) expression level, tumor mutational burden, tumor-infiltrating lymphocytes, and mismatch repair deficiency. It also addresses the predictive value of tumorous mutations, circulation factors, immune-related factors, and gut microbiome with immunotherapy treatment.
Furthermore, some of the emerging novel biomarkers, and potential markers for hyper progressive disease are discussed, which should be validated in clinical trials in the future.
在 PubMed 查看 → 出版商原文(DOI) 全文 PDF(PMC)· 可下载 治疗专题与资料阅读指南 资料来源与翻译说明 报告译文或资料问题 →
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