Department of Pharmacology and Department of Pathology, School of Basic Medical Sciences, Peking University, Beijing 100191, China; Beijing Key Laboratory of Tumor Systems Biology, Peking University, Beijing 100191, China.
Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Clin Immunol. 2021 Jul;228:108751. doi: 10.1016/j.clim.2021.108751. Epub 2021 May 8.
Tumor-infiltrating immune cells (TIICs) and immune-related genes (IRGs) of melanoma are associated with prognosis. However, whether the combination of TIICs and IRGs can be used as prognostic clinical biomarkers are still unknown. Here, we downloaded transcription profile of melanoma from TCGA. Then, three TIICs and four IRGs that associated with the overall survival were used to constructed the Immune Cell Score (ICS) and Immune Gene Score (IGS) respectively. Next, to improve the accuracy of ICS and IGS for melanoma prognostic, we combined the ICS and IGS constructed the Immune Cell and Gene Score (ICGS) model. ICGS had higher accuracy and predictive ability than ICS or IGS. Meanwhile, ICGS model reliability was validated by two independent datasets of melanoma. Functional enrichment and protein-protein interaction network analysis based on ICGS were performed to identify T cell mediated immune and inflammatory response are highly associated with melanoma.
肿瘤浸润免疫细胞（TIICs）和黑色素瘤的免疫相关基因（IRGs）与预后相关。然而，TIICs 和 IRGs 的组合是否可以用作预后的临床生物标志物尚不清楚。在这里，我们从 TCGA 下载了黑色素瘤的转录谱。然后，使用与总生存期相关的三种 TIICs 和四种 IRGs 分别构建免疫细胞评分（ICS）和免疫基因评分（IGS）。接下来，为了提高 ICS 和 IGS 对黑色素瘤预后的准确性，我们将 ICS 和 IGS 相结合构建了免疫细胞和基因评分（ICGS）模型。ICGS 比 ICS 或 IGS 具有更高的准确性和预测能力。同时，通过两个独立的黑色素瘤数据集验证了 ICGS 模型的可靠性。基于 ICGS 进行了功能富集和蛋白质-蛋白质相互作用网络分析，以确定 T 细胞介导的免疫和炎症反应与黑色素瘤高度相关。
