Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, 10617, Taiwan.
Department of Medical Research, National Taiwan University Hospital, Taipei, 10002, Taiwan.
BMC Med Genomics. 2021 Dec 6;14(Suppl 3):290. doi: 10.1186/s12920-021-01137-0.
Increasing amount of long non-coding RNAs (lncRNAs) have been found involving in many biological processes and played salient roles in cancers. However, up until recently, functions of most lncRNAs in lung cancer have not been fully discovered, particularly in the co-regulated lncRNAs. Thus, this study aims to investigate roles of lncRNA modules and uncover a module-based biomarker in lung adenocarcinoma (LUAD).
We used gene expression profiles from The Cancer Genome Atlas (TCGA) to construct the lncRNA association networks, from which the highly-associated lncRNAs are connected as modules. It was found that the expression of some modules is significantly associated with patient's survival, including module N1 (HR = 0.62, 95% CI = 0.46-0.84, p = 0.00189); N2 (HR = 0.68, CI = 0.50-0.93, p = 0.00159); N4 (HR = 0.70, CI = 0.52-0.95, p = 0.0205) and P3 (HR = 0.68, CI = 0.50-0.92, p = 0.0123). The lncRNA signature consisting of these four prognosis-related modules, a 4-modular lncRNA signature, is associated with favourable prognosis in TCGA-LUAD (HR = 0.51, CI = 0.37-0.69, p value = 2.00e-05). Afterwards, to assess the performance of the generic modular signature as a prognostic biomarker, we computed the time-dependent area under the receiver operating characteristics (AUC) of this 4-modular lncRNA signature, which showed AUC equals 68.44% on 336th day. In terms of biological functions, these modules are correlated with several cancer hallmarks and pathways, including Myc targets, E2F targets, cell cycle, inflammation/immunity-related pathways, androgen/oestrogen response, KRAS signalling, DNA repair and epithelial-mesenchymal transition (EMT).
Taken together, we identified four novel LUAD prognosis-related lncRNA modules, and assessed the performance of the 4-modular lncRNA signature being a prognostic biomarker. Functionally speaking, these modules involve in oncogenic hallmarks as well as pathways. The results unveiled the co-regulated lncRNAs in LUAD and may provide a framework for further lncRNA studies in lung cancer.
越来越多的长非编码 RNA(lncRNA)被发现参与许多生物过程,并在癌症中发挥重要作用。然而,直到最近,大多数 lncRNA 在肺癌中的功能还没有被完全发现,尤其是在共调控 lncRNA 中。因此,本研究旨在探讨 lncRNA 模块的作用,并揭示肺腺癌(LUAD)中的基于模块的生物标志物。
我们使用来自癌症基因组图谱(TCGA)的基因表达谱构建 lncRNA 关联网络,其中高度关联的 lncRNA 连接成模块。研究发现,一些模块的表达与患者的生存显著相关,包括模块 N1(HR=0.62,95%CI=0.46-0.84,p=0.00189);N2(HR=0.68,CI=0.50-0.93,p=0.00159);N4(HR=0.70,CI=0.52-0.95,p=0.0205)和 P3(HR=0.68,CI=0.50-0.92,p=0.0123)。由这四个预后相关模块组成的 lncRNA 特征,即 4 个模块 lncRNA 特征,与 TCGA-LUAD 中的有利预后相关(HR=0.51,CI=0.37-0.69,p 值=2.00e-05)。之后,为了评估通用模块特征作为预后生物标志物的性能,我们计算了该 4 个模块 lncRNA 特征的时间依赖性接收器操作特征(ROC)曲线下面积(AUC),该特征在第 336 天的 AUC 为 68.44%。就生物学功能而言,这些模块与多种癌症特征和途径相关,包括 Myc 靶标、E2F 靶标、细胞周期、炎症/免疫相关途径、雄激素/雌激素反应、KRAS 信号通路、DNA 修复和上皮-间充质转化(EMT)。
综上所述,我们鉴定了四个新的 LUAD 预后相关 lncRNA 模块,并评估了 4 个模块 lncRNA 特征作为预后生物标志物的性能。从功能上讲,这些模块涉及致癌特征和途径。这些结果揭示了 LUAD 中的共调控 lncRNA,并可能为肺癌中的进一步 lncRNA 研究提供框架。