Data_Sheet_1_Immune Subtypes Based on Immune-Related lncRNA: Differential Prognostic Mechanism of Pancreatic Cancer.CSV

Pancreatic cancer consists one of tumors with the highest degree of malignancy and the worst prognosis. To date, immunotherapy has become an effective means to improve the prognosis of patients with pancreatic cancer. Long non-coding RNAs (lncRNAs) have also been associated with the immune response. However, the role of immune-related lncRNAs in the immune response of pancreatic cancer remains unclear. In this study, we identified immune-related lncRNA pairs through a new combinatorial algorithm, and then clustered and deeply analyzed the immune characteristics and functional differences between subtypes. Subsequently, the prognostic model of 3 candidate lncRNA pairs was determined by multivariate COX analysis. The results showed significant prognostic differences between the C1 and C2 subtypes, which may be due to the differential infiltration of CTL and NK cells and the activation of tumor-related pathways. The prognostic model of the 3 lncRNA pairs (AC244035.1_vs._AC063926.1, AC066612.1_vs._AC090124.1, and AC244035.1_vs._LINC01885) was established, which exhibits stable and effective prognostic prediction performance. These 3 lncRNA pairs may regulate the anti-tumor effect of immune cells through ion channel pathways. In conclusion, our research demonstrated the panoramic differences in immune characteristics between subtypes and stable prognostic models, and identified new potential targets for immunotherapy.

胰腺癌位居高度恶性和预后最差的肿瘤之列。迄今为止，免疫治疗已成为改善胰腺癌患者预后的有效手段。长非编码RNA（lncRNA）亦与免疫反应相关联。然而，免疫相关lncRNA在胰腺癌免疫反应中的作用尚不明确。在本研究中，我们通过一种新的组合算法识别了免疫相关lncRNA对，随后对亚型间的免疫特征和功能差异进行了聚类和深入研究。随后，通过多变量COX分析确定了3个候选lncRNA对的预后模型。结果显示，C1和C2亚型之间存在着显著的预后差异，这可能与CTL和NK细胞的差异浸润以及肿瘤相关途径的激活有关。建立了3个lncRNA对（AC244035.1_vs._AC063926.1、AC066612.1_vs._AC090124.1和AC244035.1_vs._LINC01885）的预后模型，该模型展现出稳定而有效的预后预测性能。这3个lncRNA对可能通过离子通道途径调节免疫细胞的抗肿瘤效应。总之，本研究揭示了亚型间免疫特征的全面差异和稳定的预后模型，并确定了免疫治疗的新潜在靶点。