PDF(Pubmed)
Abstract：
UNASSIGNED: To investigate the impact that TTN mutation had on the gene heterogeneity expression and prognosis in patients with lung adenocarcinoma.
UNASSIGNED: In this study, the Cancer Genome Atlas (TCGA) dataset was used to analyze the TTN mutations in lung adenocarcinoma. Lung adenocarcinoma data was collected from the TCGA database, clinical information of patients was analyzed, and bioinformatics statistical methods were applied for mutation analysis and prognosis survival analysis. The results were verified using the GEO dataset.
UNASSIGNED: The incidence of TTN mutations in lung adenocarcinoma was found to be 73%, and it was related to the prognosis of lung adenocarcinoma. Ten genes were screened with significant contributions to prognosis. A prognosis model was constructed and verified by LASSO COX analysis in the TCGA and GEO datasets based on these ten beneficial factors. The independent prognostic factor H2BC9 for TTN mutation-driven gene heterogeneity expression was screened through multi-factor COX regression analysis.
UNASSIGNED: Our data showed that the gene heterogeneity expression, which was driven by TTN mutations, prolonged the survival of lung adenocarcinoma patients and provided valuable clues for the prognosis of TTN gene mutations in lung adenocarcinoma.
UNASSIGNED: In this study, the Cancer Genome Atlas (TCGA) dataset was used to analyze the TTN mutations in lung adenocarcinoma. Lung adenocarcinoma data was collected from the TCGA database, clinical information of patients was analyzed, and bioinformatics statistical methods were applied for mutation analysis and prognosis survival analysis. The results were verified using the GEO dataset.
UNASSIGNED: The incidence of TTN mutations in lung adenocarcinoma was found to be 73%, and it was related to the prognosis of lung adenocarcinoma. Ten genes were screened with significant contributions to prognosis. A prognosis model was constructed and verified by LASSO COX analysis in the TCGA and GEO datasets based on these ten beneficial factors. The independent prognostic factor H2BC9 for TTN mutation-driven gene heterogeneity expression was screened through multi-factor COX regression analysis.
UNASSIGNED: Our data showed that the gene heterogeneity expression, which was driven by TTN mutations, prolonged the survival of lung adenocarcinoma patients and provided valuable clues for the prognosis of TTN gene mutations in lung adenocarcinoma.
摘要：
■探讨TTN突变对肺腺癌患者基因异质性表达及预后的影响。
■在这项研究中，癌症基因组图谱(TCGA)数据集用于分析肺腺癌中的TTN突变.肺腺癌数据收集自TCGA数据库,对患者的临床信息进行分析,应用生物信息学统计方法进行突变分析和预后生存分析。使用GEO数据集验证了结果。
■发现肺腺癌中TTN突变的发生率为73％，与肺腺癌的预后有关。筛选了10个对预后有重要贡献的基因。基于这十个有益因素，在TCGA和GEO数据集中通过LASSOCOX分析构建并验证了预后模型。通过多因素COX回归分析筛选TTN突变驱动基因异质性表达的独立预后因素H2BC9。
■我们的数据表明，基因异质性表达，这是由TTN突变驱动的，TTN基因突变可以延长肺腺癌患者的生存期,为肺腺癌患者的预后提供有价值的线索。
■在这项研究中，癌症基因组图谱(TCGA)数据集用于分析肺腺癌中的TTN突变.肺腺癌数据收集自TCGA数据库,对患者的临床信息进行分析,应用生物信息学统计方法进行突变分析和预后生存分析。使用GEO数据集验证了结果。
■发现肺腺癌中TTN突变的发生率为73％，与肺腺癌的预后有关。筛选了10个对预后有重要贡献的基因。基于这十个有益因素，在TCGA和GEO数据集中通过LASSOCOX分析构建并验证了预后模型。通过多因素COX回归分析筛选TTN突变驱动基因异质性表达的独立预后因素H2BC9。
■我们的数据表明，基因异质性表达，这是由TTN突变驱动的，TTN基因突变可以延长肺腺癌患者的生存期,为肺腺癌患者的预后提供有价值的线索。
