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生物信息学分析揭示了与青年期非小细胞肺癌相关的三个关键基因和四个生存基因。

Bioinformatics analysis reveals three key genes and four survival genes associated with youth-onset NSCLC.

作者信息

Han Xuan, Ren Peng, Ma Shaohua

机构信息

Department of Thoracic Surgery, Peking University Third Hospital, Haidian, Beijing 100191, China.

出版信息

Open Med (Wars). 2022 Jul 6;17(1):1123-1133. doi: 10.1515/med-2022-0492. eCollection 2022.

DOI:10.1515/med-2022-0492
PMID:35859798
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9263893/
Abstract

Youth-onset non-small cell lung cancer (NSCLC) is a heterogeneous disease. It has a unique clinicopathology and special genetic background. In this study, three key genes, CDC20, CCNB2, and BUB1, have been identified in youth-onset NSCLC tumor tissues based on the TCGA and GEO cohorts. Functional enrichment analysis reveals that the "oocyte meiosis," "cell cycle," and the "P53 signaling pathway" are significantly enriched. Additionally, four survival genes, including AKAP12, CRIM1, FEN1, and SLC7A11, that affect the prognosis of youth-onset NSCLC patients are identified in this study. Finally, we construct a risk model to predict the overall survival of youth-onset NSCLC patients, the AUC of the risk model in 1, 3, and 5 years of overall survival is 0.808, 0.844, and 0.728. This study aims to provide a novel idea to explore the pathogenic genes of youth-onset NSCLC.

摘要

青年期非小细胞肺癌(NSCLC)是一种异质性疾病。它具有独特的临床病理学特征和特殊的基因背景。在本研究中,基于TCGA和GEO队列,在青年期NSCLC肿瘤组织中鉴定出三个关键基因,即CDC20、CCNB2和BUB1。功能富集分析显示,“卵母细胞减数分裂”、“细胞周期”和“P53信号通路”显著富集。此外,本研究还鉴定出四个影响青年期NSCLC患者预后的生存基因,包括AKAP12、CRIM1、FEN1和SLC7A11。最后,我们构建了一个风险模型来预测青年期NSCLC患者的总生存期,该风险模型在1年、3年和5年总生存期的AUC分别为0.808、0.844和0.728。本研究旨在为探索青年期NSCLC的致病基因提供新思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4e/9263893/150d7d8efcda/j_med-2022-0492-fig008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4e/9263893/bfc5045fec17/j_med-2022-0492-fig001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4e/9263893/28277d028f58/j_med-2022-0492-fig002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4e/9263893/4720487bdd67/j_med-2022-0492-fig003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4e/9263893/1b7c7d293433/j_med-2022-0492-fig004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4e/9263893/98e1039846af/j_med-2022-0492-fig005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4e/9263893/5c144574ce2a/j_med-2022-0492-fig006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4e/9263893/19920b3adfbd/j_med-2022-0492-fig007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4e/9263893/150d7d8efcda/j_med-2022-0492-fig008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4e/9263893/bfc5045fec17/j_med-2022-0492-fig001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4e/9263893/28277d028f58/j_med-2022-0492-fig002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4e/9263893/4720487bdd67/j_med-2022-0492-fig003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4e/9263893/1b7c7d293433/j_med-2022-0492-fig004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4e/9263893/98e1039846af/j_med-2022-0492-fig005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4e/9263893/5c144574ce2a/j_med-2022-0492-fig006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4e/9263893/19920b3adfbd/j_med-2022-0492-fig007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4e/9263893/150d7d8efcda/j_med-2022-0492-fig008.jpg

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