Department of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Otorhinolaryngology Institute, Sun Yat-sen University, Guangzhou, China.
Front Immunol. 2022 Aug 15;13:952059. doi: 10.3389/fimmu.2022.952059. eCollection 2022.
PD-1/PD-L1 blockade is a promising immunotherapeutic strategy with the potential to improve the outcomes of various cancers. However, there is a critically unmet need for effective biomarkers of response to PD-1/PD-L1 blockade.
Potential biomarkers of response to PD-1/PD-L1 blockade were obtained from the Cancer Treatment Response gene signature Database (CTR-DB). A comprehensive pan-cancer analysis was done on The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) datasets. Correlations between gene expression and infiltration by immune cells were assessed using TIMER, EPIC, MCPcounter, xCell, CIBERSORT, and quanTIseq. Immunophenoscore (IPS) was used to assess the potential application of the biomarkers to all TCGA tumors.
Analysis of CTR-DB data identified and as potential biomarkers of response to PD-1/PD-L1 blockade. Correlation analysis revealed that in various TCGA cancer datasets, expression level correlated positively with most immune checkpoints and tumor-infiltrating immune cells, while expression level correlated negatively with infiltrating immune cells. IPS analysis demonstrated the ability of and to predict PD-1/PD-L1 blockade responses in various cancers.
and are potential predictors of response to cancer immunotherapy using PD-1/PD-L1 blockade. These biomarkers may guide treatment decisions, leading to precise treatment and minimizing the waste of medical resources.
PD-1/PD-L1 阻断是一种很有前途的免疫治疗策略，有可能改善各种癌症的预后。然而，人们迫切需要有效的 PD-1/PD-L1 阻断反应生物标志物。
从癌症治疗反应基因特征数据库（CTR-DB）中获得 PD-1/PD-L1 阻断反应的潜在生物标志物。在癌症基因组图谱（TCGA）和基因型组织表达（GTEx）数据集上进行了全面的泛癌分析。使用 TIMER、EPIC、MCPcounter、xCell、CIBERSORT 和 quanTIseq 评估基因表达与免疫细胞浸润之间的相关性。免疫表型评分（IPS）用于评估这些生物标志物对所有 TCGA 肿瘤的潜在应用。
CTR-DB 数据分析确定 和 是 PD-1/PD-L1 阻断反应的潜在生物标志物。相关性分析显示，在各种 TCGA 癌症数据集中， 表达水平与大多数免疫检查点和肿瘤浸润免疫细胞呈正相关，而 表达水平与浸润免疫细胞呈负相关。IPS 分析表明 和 能够预测各种癌症中 PD-1/PD-L1 阻断反应。
和 是 PD-1/PD-L1 阻断免疫治疗反应的潜在预测因子。这些生物标志物可以指导治疗决策，实现精准治疗，最大限度地减少医疗资源的浪费。
