Laboratory of Medical Science, School of Medicine, Nantong University, Nantong 226001, China.
Department of Pathophysiology, School of Medicine, Nantong University, Nantong 226001, China.
Genes (Basel). 2023 Aug 13;14(8):1620. doi: 10.3390/genes14081620.
The 3'-untranslated region (3'-UTR) of PD-L1 is significantly longer than the coding sequences (CDSs). However, its role and regulators have been little studied. We deleted whole 3'-UTR region by CRISPR-Cas9. Prognostic analysis was performed using online tools. Immune infiltration analysis was performed using the Timer and Xcell packages. Immunotherapy response prediction and Cox regression was performed using the R software. MicroRNA network analysis was conducted by the Cytoscape software. The level of PD-L1 was significantly and dramatically up-regulated in cells after deleting the 3'-UTR. Additionally, we discovered a panel of 43 RNA-binding proteins (RBPs) whose expression correlates with PD-L1 in the majority of cancer cell lines and tumor tissues. Among these RBPs, PARP14 is widely associated with immune checkpoints, the tumor microenvironment, and immune-infiltrating cells in various cancer types. We also identified 38 microRNAs whose individual expressions are associated with PD-L1 across different cancers. Notably, miR-3139, miR-4761, and miR-15a-5p showed significant associations with PD-L1 in most cancer types. Furthermore, we revealed 21 m6A regulators that strongly correlate with PD-L1. Importantly, by combining the identified RBP and m6A regulators, we established an immune signature consisting of RBMS1, QKI, ZC3HAV1, and RBM38. This signature can be used to predict the responsiveness of cancer patients to immune checkpoint blockade treatment. We demonstrated the critical role of the 3'-UTR in the regulation of PD-L1 and identified a significant number of potential PD-L1 regulators across various types of cancer. The biomarker signature generated from our findings shows promise in predicting patient prognosis. However, further biological investigation is necessary to explore the potential of these PD-L1 regulators.
PD-L1 的 3'-非翻译区(3'-UTR)明显长于编码序列(CDS)。然而,其作用和调节因子的研究还很少。我们通过 CRISPR-Cas9 技术删除了整个 3'-UTR 区域。使用在线工具进行预后分析。使用 Timer 和 Xcell 包进行免疫浸润分析。使用 R 软件进行免疫治疗反应预测和 Cox 回归分析。通过 Cytoscape 软件进行 microRNA 网络分析。在删除 3'-UTR 后,细胞中 PD-L1 的水平显著且显著上调。此外,我们发现了一组 43 个 RNA 结合蛋白(RBPs),它们在大多数癌细胞系和肿瘤组织中的表达与 PD-L1 相关。在这些 RBPs 中,PARP14 与各种癌症类型中的免疫检查点、肿瘤微环境和免疫浸润细胞广泛相关。我们还确定了 38 个 microRNA,它们在不同癌症中的个体表达与 PD-L1 相关。值得注意的是,miR-3139、miR-4761 和 miR-15a-5p 在大多数癌症类型中与 PD-L1 有显著相关性。此外,我们揭示了 21 个与 PD-L1 强相关的 m6A 调节因子。重要的是,通过结合鉴定的 RBPs 和 m6A 调节因子,我们建立了一个由 RBMS1、QKI、ZC3HAV1 和 RBM38 组成的免疫特征。该特征可用于预测癌症患者对免疫检查点阻断治疗的反应性。我们证明了 3'-UTR 在 PD-L1 调节中的关键作用,并在各种类型的癌症中发现了大量潜在的 PD-L1 调节因子。从我们的研究结果生成的生物标志物特征在预测患者预后方面显示出了前景。然而,进一步的生物学研究是必要的,以探索这些 PD-L1 调节剂的潜力。