Zheng Rongjiong, Zheng Mengdi, Wang Mingming, Lu Feijie, Hu Meiling
Ningbo Urology and Nephrology Hospital, Ningbo Yinzhou No 2. Hospital, Ningbo, China.
Cixi People's Hospital of Zhejiang Province, Zhejiang, China.
Arch Public Health. 2021 Apr 28;79(1):61. doi: 10.1186/s13690-021-00588-2.
Lung squamous cell carcinoma (LSCC) is a form of cancer that is associated with high rates of relapse, poor responsiveness to therapy, and a relatively poor prognosis. The relationship between long non-coding RNA (lncRNA) expression and LSCC patient prognosis remains to be established.
In the present study, we discovered that lncRNAs were differentially expressed in LSCC tumor tissues relative to normal control tissues, and we explored the prognostic relevance of these lncRNA expression patterns using data from the Cancer Genome Atlas (TCGA).
These multidimensional data were analyzed in order to identify lncRNA signatures that were associated with LSCC patient survival outcomes. Kaplan-Meier survival curves revealed prognostic capabilities for three of these lncRNAs (LINC02555, APCDD1L-DT and OTX2-AS1). A Cox regression analysis revealed this three-lncRNA signature to be significantly associated with patient survival. Further GO and KEGG analyses revealed that the predicted target genes of these three lncRNAs were also potentially involved in cancer-associated pathways.
Together these results thus indicate that this novel three-lncRNA signature can be used to predict LSCC patient prognosis.
肺鳞状细胞癌（LSCC）是一种癌症，其复发率高、对治疗反应不佳且预后相对较差。长链非编码RNA（lncRNA）表达与LSCC患者预后之间的关系尚待确定。
在本研究中，我们发现lncRNAs在LSCC肿瘤组织中相对于正常对照组织存在差异表达，并使用来自癌症基因组图谱（TCGA）的数据探索了这些lncRNA表达模式的预后相关性。
对这些多维数据进行分析，以识别与LSCC患者生存结果相关的lncRNA特征。Kaplan-Meier生存曲线显示其中三种lncRNAs（LINC02555、APCDD1L-DT和OTX2-AS1）具有预后能力。Cox回归分析显示这三种lncRNA特征与患者生存显著相关。进一步的GO和KEGG分析表明，这三种lncRNAs的预测靶基因也可能参与癌症相关途径。
这些结果共同表明，这种新的三种lncRNA特征可用于预测LSCC患者的预后。
