Department of Dermatology, Medical University of Vienna, Vienna, Austria.
Department of Medicine I, Division of Oncology, Christian Doppler Laboratory for Personalized Immunotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Target Oncol. 2024 Mar;19(2):263-275. doi: 10.1007/s11523-024-01041-4. Epub 2024 Feb 24.
DNA methylation profiles have emerged as potential predictors of therapeutic response in various solid tumors.
This study aimed to analyze the DNA methylation profiles of patients with stage IV metastatic melanoma undergoing first-line immune checkpoint inhibitor treatment and evaluate their correlation with a radiological response according to immune-related Response Evaluation Criteria in Solid Tumors (iRECIST).
A total of 81 tissue samples from 71 patients with metastatic melanoma (27 female, 44 male) were included in this study. We utilized Illumina Methylation EPIC Beadchips to retrieve their genome-wide methylation profile by interrogating >850,000 CpG sites. Clustering based on the 500 most differentially methylated genes was conducted to identify distinct methylation patterns associated with immune checkpoint inhibitor response. Results were further aligned with an independent, previously published data set.
The median progression-free survival was 8.5 months (range: 0-104.1 months), and the median overall survival was 30.6 months (range: 0-104.1 months). Objective responses were observed in 29 patients (40.8%). DNA methylation profiling revealed specific signatures that correlated with radiological response to immune checkpoint inhibitors. Three distinct clusters were identified based on the methylation patterns of the 500 most differentially methylated genes. Cluster 1 (12/12) and cluster 2 (12/24) exhibited a higher proportion of responders, while cluster 3 (39/45) predominantly consisted of non-responders. In the validation data set, responders also showed more frequent hypomethylation although differences in the data sets limit the interpretation.
These findings suggest that DNA methylation profiling of tumor tissues might serve as a predictive biomarker for immune checkpoint inhibitor response in patients with metastatic melanoma. Further validation studies are warranted to confirm the efficiency of DNA methylation profiling as a predictive tool in the context of immunotherapy for metastatic melanoma.
DNA 甲基化谱已成为各种实体瘤治疗反应的潜在预测因子。
本研究旨在分析接受一线免疫检查点抑制剂治疗的 IV 期转移性黑色素瘤患者的 DNA 甲基化谱,并根据免疫相关实体瘤反应评估标准 (iRECIST) 评估其与影像学反应的相关性。
本研究共纳入 71 例转移性黑色素瘤患者(27 例女性,44 例男性)的 81 个组织样本。我们使用 Illumina Methylation EPIC Beadchips 通过检测 >850,000 个 CpG 位点来获取其全基因组甲基化谱。基于 500 个差异甲基化基因进行聚类,以识别与免疫检查点抑制剂反应相关的不同甲基化模式。结果与独立的先前发表的数据进行了进一步对齐。
中位无进展生存期为 8.5 个月(范围:0-104.1 个月),中位总生存期为 30.6 个月(范围:0-104.1 个月)。29 例患者(40.8%)观察到客观反应。DNA 甲基化分析显示出与免疫检查点抑制剂的放射学反应相关的特定特征。根据 500 个差异甲基化基因的甲基化模式,确定了三个不同的聚类。聚类 1(12/12)和聚类 2(12/24)表现出更高比例的应答者,而聚类 3(39/45)主要由无应答者组成。在验证数据集,应答者也表现出更频繁的低甲基化,尽管数据集之间的差异限制了解释。
这些发现表明,肿瘤组织的 DNA 甲基化分析可能成为转移性黑色素瘤患者免疫检查点抑制剂反应的预测生物标志物。需要进一步的验证研究来确认 DNA 甲基化分析作为免疫治疗转移性黑色素瘤预测工具的效率。