• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

通过生物信息学和功能分析鉴定 和 作为吸烟相关非小细胞肺癌的关键基因。 (注:原文中“Identification of and ”这里两个空格处应有具体基因名称未给出)

Identification of and as Key Genes in Smoking-Related Non-Small-Cell Lung Cancer Through Bioinformatics and Functional Analyses.

作者信息

Zhou Jiazhen, Jiang Guanqing, Xu Enwu, Zhou Jiaxin, Liu Lili, Yang Qiaoyuan

机构信息

The Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Guangzhou, China.

Department of Thoracic Surgery, General Hospital of Southern Theater Command, People's Liberation Army (PLA), Guangzhou, China.

出版信息

Front Oncol. 2022 Jan 5;11:810301. doi: 10.3389/fonc.2021.810301. eCollection 2021.

DOI:10.3389/fonc.2021.810301
PMID:35071014
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8767109/
Abstract

BACKGROUND

Lung cancer is the leading cause of cancer-related mortality worldwide. Although cigarette smoking is an established risk factor for lung cancer, few reliable smoking-related biomarkers for non-small-cell lung cancer (NSCLC) are available. An improved understanding of these biomarkers would further the development of new biomarker-targeted therapies and lead to improvements in overall patient survival.

METHODS

We performed bioinformatic analysis to screened potential target genes, then quantitative PCR, western, siRNA, CCK-8, flow cytometry, tumorigenicity assays in nude mice were performed to validated the function.

RESULTS

In this study, we identified 83 smoking-related genes (SRGs) based on an integration analysis of two Gene Expression Omnibus (GEO) datasets, and 27 hub SRGs with potential carcinogenic effects by analyzing a dataset of smokers with NSCLC in The Cancer Genome Atlas (TCGA) database. A survival analysis revealed three genes with potential prognostic value, namely SRXN1, KRT6A and JAKMIP3. A univariate Cox analysis revealed significant associations of elevated SRXN1 and KRT6A expression with prognosis. A receiver operating characteristic (ROC) curve analysis indicated the high diagnostic value of SRXN1 and KRT6A for smoking and cancer. Quantitative PCR and western blotting validated the increased expression of SRXN1 and KRT6A mRNA and protein, respectively, in lung cancer cell lines and NSCLC tissues. In patients with NSCLC, SRXN1 and KRT6A expression was associated with the tumor-node-metastasis (TNM) stage, presence of metastasis, history of smoking and daily smoking consumption. Furthermore, inhibition of SRXN1 or KRT6A suppressed viability and enhanced apoptosis in the A549 human lung carcinoma cell line. Tumorigenicity assays in nude mice confirmed that the siRNA-mediated downregulation of SRXN1 and KRT6A expression inhibited tumor growth .

CONCLUSIONS

In summary, SRXN1 and KRT6A act as oncogenes in NSCLC and might be potential biomarkers of smoking exposure and the early diagnosis and prognosis of NSCLC in smokers, which is vital for lung cancer therapy.

摘要

背景

肺癌是全球癌症相关死亡的主要原因。尽管吸烟是肺癌公认的危险因素,但针对非小细胞肺癌(NSCLC)的可靠吸烟相关生物标志物却很少。对这些生物标志物的深入了解将推动新的生物标志物靶向治疗的发展,并改善患者的总体生存率。

方法

我们进行了生物信息学分析以筛选潜在的靶基因,然后进行定量PCR、蛋白质印迹、小干扰RNA(siRNA)、细胞计数试剂盒-8(CCK-8)、流式细胞术以及裸鼠致瘤性试验以验证其功能。

结果

在本研究中,我们基于对两个基因表达综合数据库(GEO)数据集的整合分析,鉴定出83个吸烟相关基因(SRG),并通过分析癌症基因组图谱(TCGA)数据库中NSCLC吸烟者的数据集,确定了27个具有潜在致癌作用的核心SRG。生存分析显示,有三个基因具有潜在的预后价值,即硫氧还蛋白1(SRXN1)、角蛋白6A(KRT6A)和接头蛋白含Jak同源结构域和MIP结构域3(JAKMIP3)。单变量Cox分析显示,SRXN1和KRT6A表达升高与预后显著相关。受试者工作特征(ROC)曲线分析表明,SRXN1和KRT6A对吸烟和癌症具有较高的诊断价值。定量PCR和蛋白质印迹分别验证了肺癌细胞系和NSCLC组织中SRXN1和KRT6A mRNA及蛋白质表达的增加。在NSCLC患者中,SRXN1和KRT6A表达与肿瘤-淋巴结-转移(TNM)分期、转移情况、吸烟史和每日吸烟量有关。此外,抑制SRXN1或KRT6A可抑制A549人肺癌细胞系的活力并增强其凋亡。裸鼠致瘤性试验证实,siRNA介导的SRXN1和KRT6A表达下调可抑制肿瘤生长。

结论

总之,SRXN1和KRT6A在NSCLC中起癌基因作用,可能是吸烟暴露以及吸烟者NSCLC早期诊断和预后的潜在生物标志物,这对肺癌治疗至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1329/8767109/779c08eaf1db/fonc-11-810301-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1329/8767109/0fccf772019f/fonc-11-810301-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1329/8767109/df3bf1bc2cad/fonc-11-810301-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1329/8767109/1540f3fd0072/fonc-11-810301-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1329/8767109/967d6613dd7e/fonc-11-810301-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1329/8767109/9ae5bd6dd909/fonc-11-810301-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1329/8767109/779c08eaf1db/fonc-11-810301-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1329/8767109/0fccf772019f/fonc-11-810301-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1329/8767109/df3bf1bc2cad/fonc-11-810301-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1329/8767109/1540f3fd0072/fonc-11-810301-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1329/8767109/967d6613dd7e/fonc-11-810301-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1329/8767109/9ae5bd6dd909/fonc-11-810301-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1329/8767109/779c08eaf1db/fonc-11-810301-g006.jpg

相似文献

1
Identification of and as Key Genes in Smoking-Related Non-Small-Cell Lung Cancer Through Bioinformatics and Functional Analyses.通过生物信息学和功能分析鉴定 和 作为吸烟相关非小细胞肺癌的关键基因。 (注:原文中“Identification of and ”这里两个空格处应有具体基因名称未给出)
Front Oncol. 2022 Jan 5;11:810301. doi: 10.3389/fonc.2021.810301. eCollection 2021.
2
Keratin 6A (KRT6A) promotes radioresistance, invasion, and metastasis in lung cancer via p53 signaling pathway.角蛋白 6A(KRT6A)通过 p53 信号通路促进肺癌的放射抵抗、侵袭和转移。
Aging (Albany NY). 2024 Apr 17;16(8):7060-7072. doi: 10.18632/aging.205742.
3
Using biological information to analyze potential miRNA-mRNA regulatory networks in the plasma of patients with non-small cell lung cancer.利用生物信息学分析非小细胞肺癌患者血浆中潜在的 miRNA-mRNA 调控网络。
BMC Cancer. 2022 Mar 21;22(1):299. doi: 10.1186/s12885-022-09281-1.
4
Identifying the hub genes in non-small cell lung cancer by integrated bioinformatics methods and analyzing the prognostic values.通过综合生物信息学方法鉴定非小细胞肺癌的枢纽基因并分析其预后价值。
Pathol Res Pract. 2021 Dec;228:153654. doi: 10.1016/j.prp.2021.153654. Epub 2021 Oct 13.
5
Expression Signature and Role of miR-30d-5p in Non-Small Cell Lung Cancer: a Comprehensive Study Based on in Silico Analysis of Public Databases and in Vitro Experiments.miR-30d-5p在非小细胞肺癌中的表达特征及作用:基于公共数据库的计算机分析和体外实验的综合研究
Cell Physiol Biochem. 2018;50(5):1964-1987. doi: 10.1159/000494875. Epub 2018 Nov 5.
6
Identification and validation of smoking-related genes in lung adenocarcinoma using an in vitro carcinogenesis model and bioinformatics analysis.使用体外致癌模型和生物信息学分析鉴定及验证肺腺癌中与吸烟相关的基因。
J Transl Med. 2020 Aug 14;18(1):313. doi: 10.1186/s12967-020-02474-x.
7
Analysis of expression differences of immune genes in non-small cell lung cancer based on TCGA and ImmPort data sets and the application of a prognostic model.基于TCGA和ImmPort数据集的非小细胞肺癌免疫基因表达差异分析及预后模型的应用
Ann Transl Med. 2020 Apr;8(8):550. doi: 10.21037/atm.2020.04.38.
8
Construction of inflammatory associated risk gene prognostic model of NSCLC and its correlation with chemotherapy sensitivity.构建 NSCLC 炎症相关风险基因预后模型及其与化疗敏感性的相关性。
Ann Med. 2023 Dec;55(1):2200034. doi: 10.1080/07853890.2023.2200034.
9
Clinical Significance of miR-210 and its Prospective Signaling Pathways in Non-Small Cell Lung Cancer: Evidence from Gene Expression Omnibus and the Cancer Genome Atlas Data Mining with 2763 Samples and Validation via Real-Time Quantitative PCR.miR-210在非小细胞肺癌中的临床意义及其潜在信号通路:来自基因表达综合数据库和癌症基因组图谱的证据(对2763个样本的数据挖掘及通过实时定量PCR进行验证)
Cell Physiol Biochem. 2018;46(3):925-952. doi: 10.1159/000488823. Epub 2018 Apr 13.
10
Bioinformatic analysis revealing mitotic spindle assembly regulated NDC80 and MAD2L1 as prognostic biomarkers in non-small cell lung cancer development.生物信息学分析揭示有丝分裂纺锤体组装调节 NDC80 和 MAD2L1 作为非小细胞肺癌发展的预后生物标志物。
BMC Med Genomics. 2020 Aug 14;13(1):112. doi: 10.1186/s12920-020-00762-5.

引用本文的文献

1
Integrative analysis of KEAP1/NFE2L2 alterations across 3600+ tumors reveals an NRF2 expression signature as a prognostic biomarker in cancer.对3600多个肿瘤中KEAP1/NFE2L2改变的综合分析揭示了一种NRF2表达特征作为癌症的预后生物标志物。
NPJ Precis Oncol. 2025 Aug 18;9(1):291. doi: 10.1038/s41698-025-01088-0.
2
Unraveling the immune mechanisms and therapeutic targets in lung adenosquamous transformation.揭示肺腺鳞癌转化中的免疫机制和治疗靶点。
Front Immunol. 2025 Jun 3;16:1542526. doi: 10.3389/fimmu.2025.1542526. eCollection 2025.
3
Single-Cell Transcriptomic Profiling Reveals KRAS/TP53-Driven Neutrophil Reprogramming in Luad: A Multi-Gene Prognostic Model and Therapeutic Targeting of RHOV.

本文引用的文献

1
A genome-wide screen for differentially methylated long noncoding RNAs identified that lncAC007255.8 is regulated by promoter DNA methylation in Beas-2B cells malignantly transformed by NNK.全基因组筛选差异甲基化长非编码 RNA 表明,lncAC007255.8 在 NNK 致恶性转化的 Beas-2B 细胞中受启动子 DNA 甲基化调控。
Toxicol Lett. 2021 Aug 1;346:34-46. doi: 10.1016/j.toxlet.2021.04.013. Epub 2021 Apr 16.
2
Cancer deaths attributable to cigarette smoking in 152 U.S. metropolitan or micropolitan statistical areas, 2013-2017.2013-2017 年美国 152 个大都市或都市区归因于吸烟的癌症死亡人数。
Cancer Causes Control. 2021 Mar;32(3):311-316. doi: 10.1007/s10552-020-01385-y. Epub 2021 Jan 26.
3
单细胞转录组分析揭示KRAS/TP53驱动的肺腺癌中性粒细胞重编程:多基因预后模型及RHOV的治疗靶点
Oncol Res. 2025 May 29;33(6):1383-1404. doi: 10.32604/or.2025.062584. eCollection 2025.
4
KRT6A Restricts Influenza A Virus Replication by Inhibiting the Nuclear Import and Assembly of Viral Ribonucleoprotein Complex.角蛋白6A通过抑制甲型流感病毒核糖核蛋白复合体的核输入和组装来限制其复制。
Viruses. 2025 May 4;17(5):671. doi: 10.3390/v17050671.
5
Srxn1 Overexpression Protect Against Cardiac Remodelling by Inhibiting Oxidative Stress and Inflammation.Srxn1过表达通过抑制氧化应激和炎症来预防心脏重塑。
J Cell Mol Med. 2025 Mar;29(6):e70432. doi: 10.1111/jcmm.70432.
6
A nicotinamide metabolism-related gene signature for predicting immunotherapy response and prognosis in lung adenocarcinoma patients.一种用于预测肺腺癌患者免疫治疗反应和预后的烟酰胺代谢相关基因特征。
PeerJ. 2025 Feb 27;13:e18991. doi: 10.7717/peerj.18991. eCollection 2025.
7
Liquid-Liquid Phase Separation in the Prognosis of Lung Adenocarcinoma: An Integrated Analysis.液-液相分离在肺腺癌预后中的综合分析
Curr Cancer Drug Targets. 2025;25(4):323-334. doi: 10.2174/0115680096345676241001081051.
8
Assessment of Concentration KRT6 Proteins in Tumor and Matching Surgical Margin from Patients with Head and Neck Squamous Cell Carcinoma.评估头颈部鳞状细胞癌患者肿瘤和匹配手术切缘中 KRT6 蛋白的浓度。
Int J Mol Sci. 2024 Jul 4;25(13):7356. doi: 10.3390/ijms25137356.
9
Metabolic and senescence characteristics associated with the immune microenvironment in non-small cell lung cancer: insights from single-cell RNA sequencing.非小细胞肺癌中与免疫微环境相关的代谢和衰老特征:单细胞 RNA 测序的见解。
Aging (Albany NY). 2023 Oct 26;15(20):11571-11587. doi: 10.18632/aging.205146.
10
Construction of inflammatory associated risk gene prognostic model of NSCLC and its correlation with chemotherapy sensitivity.构建 NSCLC 炎症相关风险基因预后模型及其与化疗敏感性的相关性。
Ann Med. 2023 Dec;55(1):2200034. doi: 10.1080/07853890.2023.2200034.
Air pollution and family related determinants of asthma onset and persistent wheezing in children: nationwide case-control study.
空气污染与家庭相关因素对儿童哮喘发病和持续性喘息的影响:全国性病例对照研究。
BMJ. 2020 Aug 19;370:m2791. doi: 10.1136/bmj.m2791.
4
Identification and validation of smoking-related genes in lung adenocarcinoma using an in vitro carcinogenesis model and bioinformatics analysis.使用体外致癌模型和生物信息学分析鉴定及验证肺腺癌中与吸烟相关的基因。
J Transl Med. 2020 Aug 14;18(1):313. doi: 10.1186/s12967-020-02474-x.
5
SRXN1 stimulates hepatocellular carcinoma tumorigenesis and metastasis through modulating ROS/p65/BTG2 signalling.SRXN1 通过调节 ROS/p65/BTG2 信号通路促进肝细胞癌的发生和转移。
J Cell Mol Med. 2020 Sep;24(18):10714-10729. doi: 10.1111/jcmm.15693. Epub 2020 Aug 3.
6
Influence of Environmental Tobacco Smoke and Air Pollution on Fetal Growth: A Prospective Study.环境烟草烟雾和空气污染对胎儿生长的影响:一项前瞻性研究。
Int J Environ Res Public Health. 2020 Jul 23;17(15):5319. doi: 10.3390/ijerph17155319.
7
Lung cancer occurrence attributable to passive smoking among never smokers in China: a systematic review and meta-analysis.中国非吸烟者中被动吸烟导致肺癌发生的系统评价与Meta分析
Transl Lung Cancer Res. 2020 Apr;9(2):204-217. doi: 10.21037/tlcr.2020.02.11.
8
Identification of nine key genes by bioinformatics analysis for predicting poor prognosis in smoking-induced lung adenocarcinoma.通过生物信息学分析鉴定九个关键基因以预测吸烟诱导的肺腺癌预后不良
Lung Cancer Manag. 2020 Apr 27;9(2):LMT30. doi: 10.2217/lmt-2020-0009.
9
Identification of gene and microRNA changes in response to smoking in human airway epithelium by bioinformatics analyses.通过生物信息学分析鉴定人类气道上皮中对吸烟产生响应的基因和微小RNA变化。
Medicine (Baltimore). 2019 Sep;98(38):e17267. doi: 10.1097/MD.0000000000017267.
10
The inherited variations of a p53-responsive enhancer in 13q12.12 confer lung cancer risk by attenuating TNFRSF19 expression.13q12.12 上 p53 反应增强子的遗传变异通过减弱 TNFRSF19 表达而导致肺癌风险。
Genome Biol. 2019 May 24;20(1):103. doi: 10.1186/s13059-019-1696-1.