Emergency Department of Yinzhou No. 2 Hospital, Ningbo 315000, Zhejiang, China.
Gynecology Department of Mingzhou Hospital, Ningbo 315000, Zhejiang, China.
Aging (Albany NY). 2021 Nov 9;13(21):24349-24359. doi: 10.18632/aging.203685.
In cancer research, normal tissues adjacent to the tumor are usually defined as controls to compare with tumor samples, in order to screen out cancer-related genes. Although there is no obvious difference in pathology between normal tissues adjacent to the tumor and healthy tissues, there are significant changes at the molecular level. We aim to explore more potential tumor biomarkers using healthy tissues as controls rather than normal tissues adjacent to the tumor.
Here we combine the Genotype-Tissue Expression project and The Cancer Genome Atlas for differential gene analysis. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses were applied in order to predict the biological effects of related lncRNAs.
We established a 5-lncRNA prognosis model with an AUC value of 0.815. Pathway analysis indicated that 5-lncRNA mainly affected tissue carcinogenesis through PI3K-AKT signaling pathway, Focal adhesion, MAPK signaling pathway.
The 5-lncRNA prognostic model we set up is more conducive to assess the overall survival time of gastric cancer patients.
在癌症研究中，通常将肿瘤旁的正常组织定义为对照，与肿瘤样本进行比较，以筛选出与癌症相关的基因。尽管肿瘤旁的正常组织与健康组织在病理学上没有明显区别，但在分子水平上存在显著变化。我们旨在使用健康组织作为对照，而不是肿瘤旁的正常组织，来探索更多潜在的肿瘤生物标志物。
在这里，我们结合了基因型-组织表达项目和癌症基因组图谱进行差异基因分析。我们应用了基因本体论和京都基因与基因组百科全书分析，以预测相关 lncRNA 的生物学效应。
我们建立了一个 5-lncRNA 预后模型，AUC 值为 0.815。通路分析表明，5-lncRNA 主要通过 PI3K-AKT 信号通路、黏附斑、MAPK 信号通路影响组织癌变。
我们建立的 5-lncRNA 预后模型更有利于评估胃癌患者的总生存时间。
