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由突变驱动的基因表达异质性模式参与了肺鳞状细胞癌预后模型的构建。

Heterogeneous pattern of gene expression driven by mutation is involved in the construction of a prognosis model of lung squamous cell carcinoma.

作者信息

Liu Zhao, Zhao Xiaowen, Wang Ruihong, Tang Xiangyue, Zhao Yuxiang, Zhong Guanghui, Peng Xin, Zhang Chunlin

机构信息

Ningbo Municipal Hospital of Traditional Chinese Medicine (TCM), Affiliated Hospital of Zhejiang Chinese Medical University, Ningbo, China.

United New Drug Research and Development Center, Biotrans Technology Co., LTD., Ningbo, China.

出版信息

Front Oncol. 2023 Mar 23;13:916568. doi: 10.3389/fonc.2023.916568. eCollection 2023.

DOI:10.3389/fonc.2023.916568
PMID:37035196
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10080394/
Abstract

OBJECTIVE

To investigate the impact that mutation had on the gene heterogeneity expression and prognosis in patients with lung adenocarcinoma.

METHODS

In this study, the Cancer Genome Atlas (TCGA) dataset was used to analyze the 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.

RESULTS

The incidence of 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 mutation-driven gene heterogeneity expression was screened through multi-factor COX regression analysis.

CONCLUSION

Our data showed that the gene heterogeneity expression, which was driven by mutations, prolonged the survival of lung adenocarcinoma patients and provided valuable clues for the prognosis of gene mutations in lung adenocarcinoma.

摘要

目的

探讨突变对肺腺癌患者基因异质性表达及预后的影响。

方法

本研究采用癌症基因组图谱（TCGA）数据集分析肺腺癌中的突变。从TCGA数据库收集肺腺癌数据，分析患者的临床信息，并应用生物信息学统计方法进行突变分析和预后生存分析。结果使用GEO数据集进行验证。

结果

发现肺腺癌中突变的发生率为73%，且与肺腺癌的预后相关。筛选出对预后有显著贡献的10个基因。基于这10个有利因素，通过LASSO COX分析在TCGA和GEO数据集中构建并验证了一个预后模型。通过多因素COX回归分析筛选出突变驱动基因异质性表达的独立预后因素H2BC9。

结论

我们的数据表明，由突变驱动的基因异质性表达延长了肺腺癌患者的生存期，并为肺腺癌基因突变的预后提供了有价值的线索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4819/10080394/106db652313a/fonc-13-916568-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4819/10080394/d11229caa1de/fonc-13-916568-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4819/10080394/57bb0efb1d86/fonc-13-916568-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4819/10080394/b135d9058a19/fonc-13-916568-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4819/10080394/5a3c218d9d25/fonc-13-916568-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4819/10080394/24796b7341fd/fonc-13-916568-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4819/10080394/e535d39faccb/fonc-13-916568-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4819/10080394/106db652313a/fonc-13-916568-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4819/10080394/d11229caa1de/fonc-13-916568-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4819/10080394/57bb0efb1d86/fonc-13-916568-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4819/10080394/b135d9058a19/fonc-13-916568-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4819/10080394/5a3c218d9d25/fonc-13-916568-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4819/10080394/24796b7341fd/fonc-13-916568-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4819/10080394/e535d39faccb/fonc-13-916568-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4819/10080394/106db652313a/fonc-13-916568-g007.jpg

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Mutations in the Gene are a Prognostic Factor for Patients with Lung Squamous Cell Carcinomas.
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