Liu Xinhong, Xiao Caizhi, Tan Fang, Yi Ruokun, Zhao Xin
College of Biological and Chemical Engineering, Chongqing University of Education, Chongqing, China.
Chongqing Collaborative Innovation Center for Functional Food, Chongqing University of Education, Chongqing, China.
Transl Cancer Res. 2020 Oct;9(10):6275-6286. doi: 10.21037/tcr-20-2011.
The identification of prognostic genes that can distinguish the prognostic risks of cancer patients remains a significant challenge. Recent studies show that long noncoding RNAs (lncRNAs) might act as prognostic biomarkers in a variety of cancers. This study aimed to identify and assess a prognostic lncRNA signature in patients with colon adenocarcinoma (COAD).
We downloaded expression profiles and corresponding clinicopathological data from The Cancer Genome Atlas (TCGA) database. We selected samples with lncRNA expression data and relevant clinical prognostic data for subsequent analysis. The association between lncRNA and prognostic function was analyzed by Cox regression analysis. The potential biofunctions of target lncRNA were investigated through bioinformatic analysis.
LncRNAs expression profiles and corresponding clinicopathological data of 480 COAD patients and 41 normal samples were obtained from TCGA database. A multivariate Cox analysis model was used to identify the lncRNA signature. AC010973.2 lncRNA was found to be significantly related to the survival of COAD patients. The area under the curve (0.758) and the C-index (0.753) further confirmed the prediction accuracy of our model. Through nucleic acid sequence comparison and literature search, we found that the homologous host gene of AC010973.2 is significantly related to COAD.
We provide here a new biomarker for COAD diagnosis and a new direction for further research on the pathogenesis of COAD.
识别能够区分癌症患者预后风险的预后基因仍然是一项重大挑战。最近的研究表明,长链非编码RNA(lncRNA)可能在多种癌症中作为预后生物标志物。本研究旨在识别和评估结肠腺癌(COAD)患者的预后lncRNA特征。
我们从癌症基因组图谱(TCGA)数据库下载了表达谱和相应的临床病理数据。我们选择了具有lncRNA表达数据和相关临床预后数据的样本进行后续分析。通过Cox回归分析lncRNA与预后功能之间的关联。通过生物信息学分析研究目标lncRNA的潜在生物功能。
从TCGA数据库中获得了480例COAD患者和41例正常样本的lncRNAs表达谱及相应的临床病理数据。使用多变量Cox分析模型来识别lncRNA特征。发现AC010973.2 lncRNA与COAD患者的生存显著相关。曲线下面积(0.758)和C指数(0.753)进一步证实了我们模型的预测准确性。通过核酸序列比较和文献检索,我们发现AC010973.2的同源宿主基因与COAD显著相关。
我们在此为COAD诊断提供了一种新的生物标志物,并为COAD发病机制的进一步研究提供了新的方向。