| 吴 彬,姚 颐,董 熠.构建结肠癌免疫相关长链非编码RNA风险评分模型[J].肿瘤学杂志,2020,26(11):966-971. |
| 构建结肠癌免疫相关长链非编码RNA风险评分模型 |
| Construction of Risk Score Model for Prognosis of Colon Cancer with Immune-related Long Non-coding RNA |
| 投稿时间：2020-07-26 |
| DOI：10.11735/j.issn.1671-170X.2020.11.B008 |
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| 中文关键词: 结肠癌 免疫 lncRNA 预后 生存分析 |
| 英文关键词:colon cancer immune lncRNA prognosis survival analysis |
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| 摘要点击次数: 989 |
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| 中文摘要: |
| 摘 要：［目的］ 联合免疫相关长链非编码RNA（long non-coding RNA，lncRNA），探索用于评估结肠癌预后的新模型。［方法］ 我们从癌症基因图谱（the cancer genome atlas，TCGA）数据库中下载结肠癌患者的临床数据和基因表达信息，从分子标记数据库v4.0获得免疫相关的基因。Perl 软件和 R软件用于数据处理和分析。利用R语言的相关性检验获得结肠癌免疫相关lncRNAs。结合临床数据，利用单因素Cox回归分析筛选出与结肠癌预后相关的免疫相关lncRNAs，随后进一步多因素分析，筛选出构建风险评分模型的lncRNAs。根据风险评分的中位数将患者分为高风险组和低风险组，运用 Kaplan-Meier(K-M)生存分析及独立预后因素评估对模型进行评价，并将此模型联合其他临床因素构建列线图，对个体进行生存率预测。［结果］ 单因素Cox回归分析筛选出33个与结肠癌预后相关的免疫相关lncRNA，多因素Cox回归分析最终确定12个免疫相关lncRNA用来构建风险评分模型。以中位风险评分作为临界值，患者可被分为高风险组和低风险组，低风险和高风险组的5年生存率分别为86.1％和42.7％。此外，风险评分模型可作为结肠癌的独立预后因子，联合结肠癌其他临床因素和风险评分，建立了列线图以预测结肠癌个体生存率，该列线图的C指数为0.807（95％CI：0.762~0.854），校准图显示预测值与实际观测值一致性较好。［结论］ 由12个免疫相关lncRNA构成的风险评分模型可用于评估结肠癌预后，并根据构建的列线图可预测结肠癌患者的生存率。 |
| 英文摘要: |
| Abstracts：［Objective］ To construct a risk score model for prognosis of colon cancer with immune-related long non-coding RNA(lncRNA). ［Methods］ The clinical data and gene expression information of colon cancer were down loaded from the cancer genome atlas database and the immune-related genes were obtained from the molecular marker database v4.0. Perl software and R software were used for data processing and analysis. The immune-related lncRNAs of colon cancer were obtained through the correlation test of R language. Univariate Cox regression analysis was used to screen out immune-related lncRNAs related to the prognosis of colon cancer，and multivariate Cox regression was used to screen out lncRNAs for constructing a risk score model. According to the median risk score，patients were divided into high-risk groups and low-risk groups. Kaplan-Meier survival analysis，and independent prognostic factors were used to evaluate the model. Combining the constructed model with other clinical factors a nomogram was constructed to predict the survival of patients. ［Results］ Univariate Cox regression analysis screened out 33 immune-related lncRNAs associated with the prognosis of colon cancer，and multivariate Cox regression analysis finally determined 12 immune-related lncRNAs to construct a risk score model. With the median risk score as the cut-off value，patients were divided into high-risk and low-risk groups. The 5-year survival rates of the low-risk and high-risk groups were 86.1% and 42.7%，respectively. The C index of the developed nomogram was 0.807(95%CI：0.762~0.854). The calibration chart showed that the predicted value was in good agreement with the actual observed value. ［Conclusion］ The risk score model composed of 12 immune-related lncRNAs can be used to assess the prognosis of colon cancer，and the constructed nomogram can predict the survival probability of colon cancer patients. |
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