School of Pharmacy, Minzu University of China, No. 27, Zhongguancunnan Street, Haidian District, Beijing, 100081, People's Republic of China.
Key Laboratory of Ethnomedicine, Ministry of Education, Minzu University of China), Beijing, People's Republic of China.
BMC Cancer. 2023 May 12;23(1):430. doi: 10.1186/s12885-023-10831-4.
Pancreatic adenocarcinoma (PAAD) is a leading cause of malignancy-related deaths worldwide, and the efficacy of immunotherapy on PAAD is limited. Studies report that long non-coding RNAs (lncRNAs) play an important role in modulating genomic instability and immunotherapy. However, the identification of genome instability-related lncRNAs and their clinical significance has not been investigated in PAAD.
The current study developed a computational framework for mutation hypothesis based on lncRNA expression profile and somatic mutation spectrum in pancreatic adenocarcinoma genome. We explored the potential of GInLncRNAs(genome instability-related lncRNAs) through co-expression analysis and function enrichment analysis. We further analyzed GInLncRNAs by Cox regression and used the results to construct a prognostic lncRNA signature. Finally, we analyzed the relationship between GILncSig (genomic instability derived 3-lncRNA signature) and immunotherapy.
A GILncSig was developed using bioinformatics analyses. It could divide patients into high-risk and low-risk groups, and there was a significant difference in OS between the two groups. In addition, GILncSig was associated with genome mutation rate in pancreatic adenocarcinoma, indicating its potential value as a marker for genomic instability. The GILncSig accurately grouped wild type patients of KRAS into two risk groups. The prognosis of the low-risk group was significantly improved. GILncSig was significantly correlated with the level of immune cell infiltration and immune checkpoint.
In summary, the current study provides a basis for further studies on the role of lncRNA in genomic instability and immunotherapy. The study provides a novel method for identification of cancer biomarkers related to genomic instability and immunotherapy.
胰腺导管腺癌(PAAD)是全球导致恶性肿瘤相关死亡的主要原因,免疫疗法对 PAAD 的疗效有限。有研究报道,长链非编码 RNA(lncRNA)在调节基因组不稳定性和免疫治疗方面发挥着重要作用。然而,PAAD 中与基因组不稳定性相关的 lncRNA 的鉴定及其临床意义尚未得到研究。
本研究开发了一种基于 lncRNA 表达谱和胰腺腺癌基因组体细胞突变谱的突变假说计算框架。我们通过共表达分析和功能富集分析探索了 GInLncRNAs(与基因组不稳定性相关的 lncRNA)的潜力。我们进一步通过 Cox 回归分析对 GInLncRNAs 进行了分析,并利用分析结果构建了一个预后 lncRNA 特征。最后,我们分析了 GILncSig(基因组不稳定性衍生的 3-lncRNA 特征)与免疫治疗之间的关系。
本研究使用生物信息学分析方法构建了一个 GILncSig。它可以将患者分为高风险组和低风险组,两组之间的 OS 存在显著差异。此外,GILncSig 与胰腺导管腺癌的基因组突变率相关,表明其作为基因组不稳定性标志物的潜在价值。GILncSig 可以准确地将 KRAS 野生型患者分为两个风险组,低风险组的预后明显改善。GILncSig 与免疫细胞浸润和免疫检查点的水平显著相关。
综上所述,本研究为进一步研究 lncRNA 在基因组不稳定性和免疫治疗中的作用提供了依据。本研究为鉴定与基因组不稳定性和免疫治疗相关的癌症生物标志物提供了一种新方法。