| Feifei Tan,Zhongyin Zhou. Autophagy-related lncRNA and its related mechanism in colon adenocarcinoma. Oncol Transl Med, 2021, 7: 305-313. |
| 结肠腺癌中自噬相关的LncRNA及其相关机制 |
| Autophagy-related lncRNA and its related mechanism in colon adenocarcinoma |
| Received:May 25, 2021 Revised:December 10, 2021 |
| DOI：10.1007/s10330-021-0497-7 |
| 中文关键词: 结肠腺癌，预后模型，Lnc-RNA, EB1-AS1 |
| 英文关键词: colon adenocarcinoma (COAD); prognostic model; long noncoding RNA (lncRNA); EB1-AS1 |
| 基金项目: |
| Author Name | Affiliation | E-mail | | Feifei Tan | Renmin Hospital of Wuhan University, Hubei Key Laboratory of Digestive System, Wuhan 430060, China | atanfeifei@163.com | | Zhongyin Zhou* | Renmin Hospital of Wuhan University, Hubei Key Laboratory of Digestive System, Wuhan 430060, China | 13871029766@163.com |
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| 中文摘要: |
| （1）目的：结肠癌是发病率和死亡率都很高的一类癌症，腺癌占据其大部分，已经有很多研究发现LncRNA与结肠癌的发生及发展有关，自噬是人体内重要的代谢过程。（2）方法：本研究利用一系列生物信息学方法从自噬的角度探究LncRNA与结肠腺癌（COAD：Colon adenocarcinoma）的相关关系。（3）结果： 找到4个与COAD预后相关的自噬相关LncRNA，EB1-AS1、LINC02381、AC011462.4和AC016876.1，这4个LncRNA在COAD的发生及发展中可能起到致癌因子的作用。建立预后模型，ROC曲线验证了该模型的准确性，该模型的风险分数可以独立的预测患者预后，且优于其它临床指标，值越高，患者预后就越差。我们对这4个LncRNA进行了基因集合富集分析（GSEA：Gene set enrichment analysis），发现这些LncRNA的高表达量组在基底细胞癌途径富集。为了更加方便临床医生的使用，我们用年龄和风险分数构建了列线图，即可以通过列线图来评估患者的1、3、5年的生存率。（4）总结：这些结果能帮助我们从自噬的角度理解LncRNA对COAD的作用机制，并可能给它的诊断和治疗提供新的方向，本研究中的EB1-AS1基因很有可能是未来COAD治疗新的生物靶标。 |
| 英文摘要: |
| Objective Colon cancer is a type of cancer with high morbidity and mortality, of which adenocarcinoma
is the most common type. Numerous studies have found that long noncoding RNAs (lncRNAs) are related
to the occurrence and development of colon cancer. Autophagy is a key metabolic process in the human
body and has a role in affecting cancer growth. In this study, our aim was to explore the correlation between
lncRNAs and colon adenocarcinoma (COAD) from the perspective of autophagy.
Methods A series of bioinformatics methods were used to explore the correlation between lncRNA and
COAD from the perspective of autophagy.
Results Four autophagy-related lncRNAs related to the prognosis of COAD were identified: EB1-AS1,
LINC02381, AC011462.4, and AC016876.1. These four lncRNAs may act as oncogenes involved in the
occurrence and development of COAD. The prognostic model was established, and the accuracy of
the model was verified by the receiver operating characteristic curve. The risk score of the model could
independently predict the prognosis of patients and was preferable to other clinical indicators, with higher
values indicating a worse prognosis of the patients. Gene Set Enrichment Analysis was performed for
these four lncRNAs, which showed that the high expression group of these were enriched in the basal cell
carcinoma pathway. To make it more convenient for clinicians to use, we constructed a nomogram based on
age and risk score, which can be used to evaluate the one-, three-, and five-year survival rates of patients.
Conclusion These results can help us understand the mechanism of action of lncRNA on COAD from
the perspective of autophagy and may provide new directions for the diagnosis and treatment of COAD.
The EB1-AS1 gene in this study is a potential candidate biological target for COAD treatment in the future.. |
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