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长链非编码RNA SFTA1P在肺腺癌中的表达及预后预测研究
Expression of long non-coding RNA SFTA1P in lung adenocarcinoma and its predictive value for prognosis
- 第三军医大学学报 2020年42卷第21期 页码：2075-2080, 2215
- 作者机构：
1.550000 贵阳，贵州医科大学公共卫生学院流行病学教研室
2.400038重庆，陆军军医大学(第三军医大学)军事预防医学系军队流行病学教研室
3.400037 重庆，陆军军医大学(第三军医大学)第二附属医院：胸外科，全军呼吸内科研究所，全军呼吸病研究重点实验室
4.400037 重庆，陆军军医大学(第三军医大学)第二附属医院：全军呼吸内科研究所，全军呼吸病研究重点实验室
- 作者简介：
[李亚斐，E-mail:liyafei2008@hotmail.com LI Yafei, E-mail: liyafei2008@hotmail.com
- 基金信息：国家自然科学基金面上项目(81871896);国家自然科学基金面上项目(81672316)
DOI：10.16016/j.1000-5404.202005271
中图分类号： R181.23;R394.3;R734.2收稿：2020-05-09，
修回：2020-08-13，
纸质出版：2020-11-15
- 稿件说明：
移动端阅览
陈梦雷, 袁帅, 周玫余, 等. 长链非编码RNA SFTA1P在肺腺癌中的表达及预后预测研究[J]. 第三军医大学学报, 2020,42(21):2075-2080, 2215.
Menglei CHEN, Shuai YUAN, Meiyu ZHOU, et al. Expression of long non-coding RNA SFTA1P in lung adenocarcinoma and its predictive value for prognosis[J]. Journal of Third Military Medical University, 2020, 42(21): 2075-2080, 2215.
陈梦雷, 袁帅, 周玫余, 等. 长链非编码RNA SFTA1P在肺腺癌中的表达及预后预测研究[J]. 第三军医大学学报, 2020,42(21):2075-2080, 2215. DOI： 10.16016/j.1000-5404.202005271.
Menglei CHEN, Shuai YUAN, Meiyu ZHOU, et al. Expression of long non-coding RNA SFTA1P in lung adenocarcinoma and its predictive value for prognosis[J]. Journal of Third Military Medical University, 2020, 42(21): 2075-2080, 2215. DOI： 10.16016/j.1000-5404.202005271.
摘要
目的
2
探讨长链非编码RNA SFTA1P表达水平的变化与临床预后的关联，构建和评价SFTA1P用于肺腺癌患者预后预测的模型。
方法
2
实时荧光定量PCR检测SFTA1P在62对NSCLC组织以及相应的癌旁正常肺组织中的表达，分析SFTA1P表达水平的变化与临床预后的关联。在TCGA数据库中下载确诊为肺腺癌患者的数据集，提取所需的变量数据，整理了471例肺腺癌患者的临床参数信息和SFTA1P的表达量，利用单因素和多因素Cox比例风险回归模型筛选变量，基于最终预后预测模型构建列线图模型。预测模型进行内部验证采用Bootstrap重抽样法，采用一致性指数(concordance index，C-index)评价预测模型的区分度(discrimination)，校准曲线评价模型的校准度(calibration)。
结果
2
相比于癌旁正常肺组织(1.765±0.149)，SFTA1P在肺癌组织中的表达(0.692±0.103)显著下调(
P
＜0.05)。通过单因素和多因素Cox比例风险回归模型，共筛选出3个独立的临床变量与肺腺癌患者的生存率相关，分别是病理分期、放疗和SFTA1P表达量的水平。使用这3个变量，加上年龄变量共同构建列线图模型。在1年和3年生存率校准曲线中，其预测值与实际值显示了较好的一致性。列线图模型的一致性指数C-index为0.69，95%置信区间：0.63~0.75。
结论
2
长链非编码RNA SFTA1P的表达量可以作为肺腺癌的一个独立预后因素；采用上述4个独立变量构建的列线图模型可以预测肺腺癌患者的生存率。
Abstract
Objective
2
To investigate the expression of long non-coding (lnc) RNA SFTA1P in lung adenocarcinoma
and its association with clinical prognosis in order to construct and evaluate a prognostic prediction model based on SFTA1P.
Methods
2
Real-time fluorescence quantitative PCR was used to detect the expression of SFTA1P in 62 pairs of non-small-cell lung cancer (NSCLC) tissues and corresponding normal lung tissues adjacent to the cancer for the association between SFTA1P expression level and clinical prognosis. The data sets of patients diagnosed with lung adenocarcinoma were downloaded from TCGA database
the required variable data were extracted
and the clinical parameter information and SFTA1P expression of the 471 patients with lung adenocarcinoma were sorted out. Subsequently
variables were screened using univariate and multivariate Cox proportion risk regression models
and a nomogram model was constructed based on the final prognostic prediction model. For the internal validation of the prediction model
Bootstrap resampling method was adopted
and concordance index (C-index) and calibration curve were used respectively to evaluate the discrimination and calibration of the prediction model.
Results
2
The S
FTA1P expression was significantly decreased in the lung cancer tissues than the para-cancerous tissues (0.692±0.103
vs
1.765±0.149
P
<
0.05). There were totally 3 selected independent clinical variables correlating to survival rates in the patients
that is
pathological stage
radiotherapy and SFTA1P expression. In the nomogram model
the calibration curves of 1-year and 3-year survival rates showed that the predicted values had good consistency with the actual values
with a C-index of 0.69 and 95% confidence interval of 0.63~0.75.
Conclusion
2
The expression of lnc RNA SFTA1P can be used as an independent prognostic factor for lung adenocarcinoma. The nomogram model constructed from the above independent variables (including age) can predict the survival rate of the patients.
关键词
Keywords
references
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