• 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

GJA1 在宫颈癌中的表达及其预后价值。

GJA1 Expression and Its Prognostic Value in Cervical Cancer.

机构信息

Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.

Department of Dermatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.

出版信息

Biomed Res Int. 2020 Nov 24;2020:8827920. doi: 10.1155/2020/8827920. eCollection 2020.

DOI:10.1155/2020/8827920
PMID:33299882
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7709497/
Abstract

Gap Junction Protein Alpha 1 (GJA1) belongs to the gap junction family and has been widely studied in cancers. We evaluated the role of GJA1 in cervical cancer (CC) using public data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database. The difference of GJA1 expression level between CC and normal tissues was analyzed by the Gene Expression Profiling Interactive Analysis (GEPIA), six GEO datasets, and the Human Protein Atlas (HPA). The relationship between clinicopathological features and GJA1 expression was analyzed by the chi-squared test and the logistic regression. Kaplan-Meier survival analysis and Cox proportional hazard regression analysis were used to assessing the effect of GJA1 expression on survival. Gene set enrichment analysis (GSEA) was used to screen the signaling pathways regulated by GJA1. Immune Cell Abundance Identifier (ImmuCellAI) was chosen to analyze the immune cells affected by GJA1. The expression of GJA1 in CC was significantly lower than that in normal tissues based on the GEPIA, GEO datasets, and HPA. Both the chi-squared test and the logistic regression showed that high-GJA1 expression was significantly correlated with keratinization, hormone use, tumor size, and FIGO stage. The Kaplan-Meier curves suggested that high-GJA1 expression could indicate poor prognosis ( = 0.0058). Multivariate analysis showed that high-GJA1 expression was an independent predictor of poor overall survival (HR, 4.084; 95% CI, 1.354-12.320; = 0.013). GSEA showed many cancer-related pathways, such as the p53 signaling pathway and the Wnt signaling pathway, were enriched in the high-GJA1-expression group. Immune cell abundance analysis revealed that the abundance of CD8 naive, DC, and neutrophil was significantly increased in the high-GJA1-expression group. In conclusion, GJA1 can be regarded as a potential prognostic marker of poor survival and therapeutic target in CC. Moreover, many cancer-related pathways may be the critical pathways regulated by GJA1. Furthermore, GJA1 can affect the abundance of immune cells.

摘要

间隙连接蛋白α 1(GJA1)属于间隙连接家族,在癌症中研究广泛。我们使用癌症基因组图谱(TCGA)和基因表达综合数据库(GEO)中的公共数据评估 GJA1 在宫颈癌(CC)中的作用。通过基因表达谱交互式分析(GEPIA)、六个 GEO 数据集和人类蛋白质图谱(HPA)分析 CC 和正常组织之间 GJA1 表达水平的差异。卡方检验和逻辑回归分析分析了 GJA1 表达与临床病理特征的关系。Kaplan-Meier 生存分析和 Cox 比例风险回归分析用于评估 GJA1 表达对生存的影响。基因集富集分析(GSEA)用于筛选 GJA1 调节的信号通路。选择免疫细胞丰度鉴定器(ImmuCellAI)分析受 GJA1 影响的免疫细胞。基于 GEPIA、GEO 数据集和 HPA,CC 中 GJA1 的表达明显低于正常组织。卡方检验和逻辑回归均显示,高 GJA1 表达与角化、激素使用、肿瘤大小和 FIGO 分期显著相关。Kaplan-Meier 曲线表明,高 GJA1 表达可预示不良预后(=0.0058)。多因素分析显示,高 GJA1 表达是总生存期不良的独立预测因子(HR,4.084;95%CI,1.354-12.320;=0.013)。GSEA 显示,高 GJA1 表达组中富集了许多癌症相关通路,如 p53 信号通路和 Wnt 信号通路。免疫细胞丰度分析显示,高 GJA1 表达组中 CD8 幼稚细胞、DC 和中性粒细胞的丰度显著增加。总之,GJA1 可作为 CC 中预后不良的潜在预后标志物和治疗靶点。此外,许多癌症相关通路可能是 GJA1 调节的关键通路。此外,GJA1 可以影响免疫细胞的丰度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88f2/7709497/094aa7edc23c/BMRI2020-8827920.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88f2/7709497/129302fc819d/BMRI2020-8827920.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88f2/7709497/cc47240a8592/BMRI2020-8827920.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88f2/7709497/d9008d3048e6/BMRI2020-8827920.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88f2/7709497/094aa7edc23c/BMRI2020-8827920.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88f2/7709497/129302fc819d/BMRI2020-8827920.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88f2/7709497/cc47240a8592/BMRI2020-8827920.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88f2/7709497/d9008d3048e6/BMRI2020-8827920.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88f2/7709497/094aa7edc23c/BMRI2020-8827920.004.jpg

相似文献

1
GJA1 Expression and Its Prognostic Value in Cervical Cancer.GJA1 在宫颈癌中的表达及其预后价值。
Biomed Res Int. 2020 Nov 24;2020:8827920. doi: 10.1155/2020/8827920. eCollection 2020.
2
Decreased expression of CLCA2 and the correlating with immune infiltrates in patients with cervical squamous cell carcinoma: A bioinformatics analysis.CLCA2 表达降低与宫颈鳞状细胞癌患者免疫浸润相关:一项生物信息学分析。
Taiwan J Obstet Gynecol. 2021 May;60(3):480-486. doi: 10.1016/j.tjog.2021.03.016.
3
Co-expression network analysis identified atypical chemokine receptor 1 (ACKR1) association with lymph node metastasis and prognosis in cervical cancer.共表达网络分析鉴定出趋化因子受体 1(ACKR1)与宫颈癌淋巴结转移和预后的关联。
Cancer Biomark. 2020;27(2):213-223. doi: 10.3233/CBM-190533.
4
Long non-coding RNA FEZF1-AS1 is up-regulated and associated with poor prognosis in patients with cervical cancer.长链非编码 RNA FEZF1-AS1 在宫颈癌患者中上调,并与不良预后相关。
Eur Rev Med Pharmacol Sci. 2018 Jun;22(11):3357-3362. doi: 10.26355/eurrev_201806_15156.
5
Expression of the HOXA gene family and its relationship to prognosis and immune infiltrates in cervical cancer.HOXA 基因家族的表达及其与宫颈癌预后和免疫浸润的关系。
J Clin Lab Anal. 2021 Nov;35(11):e24015. doi: 10.1002/jcla.24015. Epub 2021 Oct 4.
6
Low expression of CIP4 in predicting worse overall survival: A potential biomarker for laryngeal cancer.CIP4低表达预示总体生存率更差:一种潜在的喉癌生物标志物。
PLoS One. 2021 Sep 27;16(9):e0253545. doi: 10.1371/journal.pone.0253545. eCollection 2021.
7
Correlations of differentially expressed gap junction connexins Cx26, Cx30, Cx32, Cx43 and Cx46 with breast cancer progression and prognosis.差异表达的缝隙连接连接蛋白Cx26、Cx30、Cx32、Cx43和Cx46与乳腺癌进展及预后的相关性
PLoS One. 2014 Nov 10;9(11):e112541. doi: 10.1371/journal.pone.0112541. eCollection 2014.
8
Decreased Expression of NUSAP1 Predicts Poor Overall Survival in Cervical Cancer.NUSAP1表达降低预示宫颈癌患者总生存期较差。
J Cancer. 2020 Feb 21;11(10):2852-2863. doi: 10.7150/jca.34640. eCollection 2020.
9
Screening of cervical cancer-related hub genes based on comprehensive bioinformatics analysis.基于综合生物信息学分析的宫颈癌相关枢纽基因筛选。
Cancer Biomark. 2021;32(3):303-315. doi: 10.3233/CBM-203262.
10
29 immune-related genes pairs signature predict the prognosis of cervical cancer patients.29 对免疫相关基因对signature 预测宫颈癌患者的预后。
Sci Rep. 2020 Aug 25;10(1):14152. doi: 10.1038/s41598-020-70500-5.

引用本文的文献

1
Deep learning assisted identification of SCUBE2 and SLC16 A5 combination in RNA-sequencing data as a novel specific potential diagnostic biomarker in prostate cancer.深度学习辅助在RNA测序数据中鉴定SCUBE2和SLC16A5组合作为前列腺癌一种新型的特异性潜在诊断生物标志物。
Med Biol Eng Comput. 2025 May 8. doi: 10.1007/s11517-025-03365-3.
2
Breast tumors from ATM pathogenic variant carriers display a specific genome-wide DNA methylation profile.携带ATM致病变体的乳腺癌患者的肿瘤呈现出特定的全基因组DNA甲基化谱。
Breast Cancer Res. 2025 Mar 11;27(1):36. doi: 10.1186/s13058-025-01988-w.
3
Panel containing three serum microRNAs: a promising biomarker for early detection of bladder cancer.

本文引用的文献

1
ImmuCellAI: A Unique Method for Comprehensive T-Cell Subsets Abundance Prediction and its Application in Cancer Immunotherapy.免疫细胞人工智能(ImmuCellAI):一种用于全面预测T细胞亚群丰度的独特方法及其在癌症免疫治疗中的应用。
Adv Sci (Weinh). 2020 Feb 11;7(7):1902880. doi: 10.1002/advs.201902880. eCollection 2020 Apr.
2
VERU-111 suppresses tumor growth and metastatic phenotypes of cervical cancer cells through the activation of p53 signaling pathway.VERU-111 通过激活 p53 信号通路抑制宫颈癌细胞的肿瘤生长和转移表型。
Cancer Lett. 2020 Feb 1;470:64-74. doi: 10.1016/j.canlet.2019.11.035. Epub 2019 Dec 3.
3
Prognostic value of the mRNA expression of gap junction α members in patients with gastric cancer.
包含三种血清微小RNA的检测板:一种用于膀胱癌早期检测的有前景的生物标志物。
Front Oncol. 2024 Dec 24;14:1470457. doi: 10.3389/fonc.2024.1470457. eCollection 2024.
4
Comprehensive data mining reveals RTK/RAS signaling pathway as a promoter of prostate cancer lineage plasticity through transcription factors and CNV.全面的数据挖掘揭示了 RTK/RAS 信号通路通过转录因子和 CNV 促进前列腺癌谱系可塑性。
Sci Rep. 2024 May 22;14(1):11688. doi: 10.1038/s41598-024-62256-z.
5
Characterization of the Prognosis and Tumor Microenvironment of Cellular Senescence-related Genes through scRNA-seq and Bulk RNA-seq Analysis in GC.通过 scRNA-seq 和 GC 中 Bulk RNA-seq 分析对细胞衰老相关基因的预后和肿瘤微环境进行特征分析。
Recent Pat Anticancer Drug Discov. 2024;19(4):530-542. doi: 10.2174/0115748928255417230924191157.
6
Plasma exosome-derived connexin43 as a promising biomarker for melanoma patients.血浆外泌体来源的连接蛋白 43 作为一种有前途的黑色素瘤患者生物标志物。
BMC Cancer. 2023 Mar 14;23(1):242. doi: 10.1186/s12885-023-10705-9.
7
Osteosarcoma-Specific Genes as a Diagnostic Tool and Clinical Predictor of Tumor Progression.骨肉瘤特异性基因作为肿瘤进展的诊断工具和临床预测指标
Biology (Basel). 2022 May 1;11(5):698. doi: 10.3390/biology11050698.
8
lncRNA LEF1-AS1 Acts as a Novel Biomarker and Promotes Hypopharyngeal Squamous Cell Carcinoma Progression and Metastasis by Targeting the miR-221-5p/GJA1 Axis.长链非编码 RNA LEF1-AS1 通过靶向 miR-221-5p/GJA1 轴作为新型生物标志物促进下咽鳞状细胞癌的进展和转移。
Dis Markers. 2022 Mar 25;2022:3881310. doi: 10.1155/2022/3881310. eCollection 2022.
9
In Silico Analysis of Ion Channels and Their Correlation with Epithelial to Mesenchymal Transition in Breast Cancer.乳腺癌中离子通道的计算机模拟分析及其与上皮-间质转化的相关性
Cancers (Basel). 2022 Mar 11;14(6):1444. doi: 10.3390/cancers14061444.
10
A TP53 mutation model for the prediction of prognosis and therapeutic responses in head and neck squamous cell carcinoma.TP53 突变模型可预测头颈部鳞状细胞癌的预后和治疗反应。
BMC Cancer. 2021 Sep 16;21(1):1035. doi: 10.1186/s12885-021-08765-w.
胃癌患者中缝隙连接α成员mRNA表达的预后价值
Oncol Lett. 2019 Aug;18(2):1669-1678. doi: 10.3892/ol.2019.10516. Epub 2019 Jun 21.
4
Transforming Growth Factor-β Signaling in Immunity and Cancer.转化生长因子-β 信号在免疫和癌症中的作用。
Immunity. 2019 Apr 16;50(4):924-940. doi: 10.1016/j.immuni.2019.03.024.
5
Emerging roles of gap junction proteins connexins in cancer metastasis, chemoresistance and clinical application.缝隙连接蛋白连接子在癌症转移、化疗耐药性及临床应用中的新兴作用。
J Biomed Sci. 2019 Jan 14;26(1):8. doi: 10.1186/s12929-019-0497-x.
6
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.全球癌症统计数据 2018:GLOBOCAN 对全球 185 个国家/地区 36 种癌症的发病率和死亡率的估计。
CA Cancer J Clin. 2018 Nov;68(6):394-424. doi: 10.3322/caac.21492. Epub 2018 Sep 12.
7
An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics.TCGA 泛癌临床数据资源整合,推动高质量生存预后分析。
Cell. 2018 Apr 5;173(2):400-416.e11. doi: 10.1016/j.cell.2018.02.052.
8
An extensive study of the mechanism of prostate cancer metastasis.前列腺癌转移机制的深入研究。
Neoplasma. 2018;65(2):253-261. doi: 10.4149/neo_2018_161217N648.
9
Epidemiology of gynecologic cancers in China.中国妇科癌症的流行病学。
J Gynecol Oncol. 2018 Jan;29(1):e7. doi: 10.3802/jgo.2018.29.e7.
10
RECK inhibits cervical cancer cell migration and invasion by promoting p53 signaling pathway.RECK 通过促进 p53 信号通路抑制宫颈癌细胞迁移和侵袭。
J Cell Biochem. 2018 Apr;119(4):3058-3066. doi: 10.1002/jcb.26441. Epub 2018 Jan 2.