Centre de Recherche des Cordeliers, INSERM UMR-S1138, Sorbonne Université, Université de Paris, 75006 Paris, France.
Department of Biochemistry, Unit of Pharmacogenetics and Molecular Oncology, Georges Pompidou European Hospital, Assistance Publique-Hôpitaux de Paris, 75015 Paris, France.
Biomolecules. 2020 Jul 16;10(7):1061. doi: 10.3390/biom10071061.
Immune checkpoint inhibitors (ICIs) have demonstrated to be highly efficient in treating solid tumors; however, many patients have limited benefits in terms of response and survival. This rapidly led to the investigation of combination therapies to enhance response rates. Moreover, predictive biomarkers were assessed to better select patients. Although PD-L1 expression remains the only validated marker in clinics, molecular profiling has brought valuable information, showing that the tumor mutation load and microsatellite instability (MSI) status were associated to higher response rates in nearly all cancer types. Moreover, in lung cancer, and mutations, oncogene fusions or inactivating mutations were associated with low response rates. Cancer progression towards invasive phenotypes that impede immune surveillance relies on complex regulatory networks and cell interactions within the tumor microenvironment. Epigenetic modifications, such as the alteration of histone patterns, chromatin structure, DNA methylation status at specific promoters and changes in microRNA levels, may alter the cell phenotype and reshape the tumor microenvironment, allowing cells to grow and escape from immune surveillance. The objective of this review is to make an update on the identified epigenetic changes that target immune surveillance and, ultimately, ICI responses, such as histone marks, DNA methylation and miR signatures. Translational studies or clinical trials, when available, and potential epigenetic biomarkers will be discussed as perspectives in the context of combination treatment strategies to enhance ICI responses in patients with solid tumors.
免疫检查点抑制剂(ICIs)已被证明在治疗实体瘤方面非常有效;然而,许多患者在反应和生存方面的获益有限。这迅速促使人们研究联合治疗以提高反应率。此外,还评估了预测性生物标志物以更好地选择患者。尽管 PD-L1 表达仍然是临床唯一验证的标志物,但分子谱分析带来了有价值的信息,表明肿瘤突变负荷和微卫星不稳定性(MSI)状态与几乎所有癌症类型的更高反应率相关。此外,在肺癌中, 和 突变、癌基因融合或 失活突变与低反应率相关。癌症向侵袭性表型的进展会阻碍免疫监视,这依赖于肿瘤微环境中复杂的调控网络和细胞相互作用。表观遗传修饰,如组蛋白模式的改变、染色质结构、特定启动子处的 DNA 甲基化状态以及 microRNA 水平的变化,可能改变细胞表型并重塑肿瘤微环境,使细胞能够生长并逃避免疫监视。本综述的目的是更新已确定的表观遗传变化,这些变化针对免疫监视,最终针对 ICI 反应,如组蛋白标记物、DNA 甲基化和 miR 特征。将讨论可用的转化研究或临床试验以及潜在的表观遗传生物标志物,作为联合治疗策略背景下增强实体瘤患者 ICI 反应的观点。