• 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

基于神经相关基因的子宫内膜癌重新分类及关键基因鉴定

Reclassification of endometrial cancer and identification of key genes based on neural-related genes.

作者信息

Chen Fan, Qin Tiansheng, Zhang Yigan, Wei Linzhen, Dang Yamei, Liu Peixia, Jin Weilin

机构信息

The First Clinical Medical College of Gansu University of Chinese Medicine (Gansu Provincial Hospital), Lanzhou, China.

Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.

出版信息

Front Oncol. 2022 Sep 23;12:951437. doi: 10.3389/fonc.2022.951437. eCollection 2022.

DOI:10.3389/fonc.2022.951437
PMID:36212450
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9537575/
Abstract

Endometrial cancer (EC) is the most common gynecologic malignancy, and its incidence has been increasing every year. Nerve signaling is part of the tumor microenvironment and plays an active role in tumor progression and invasion. However, the relationship between the expression of neural-related genes (NRGs) and prognosis in endometrial cancer remains unknown. In this study, we obtained RNA sequencing data of EC from The Cancer Genome Atlas (TCGA). Endometrial cancer was classified into two subtypes based on the expression of neural-associated genes (NRGs), with statistical differences in clinical stage, pathological grading, and prognosis. A prognostic prediction model was established by LASSO-Cox analysis, and the results showed that high expression of NRGs was associated with poor survival prognosis. Further, CHRM2, GRIN1, L1CAM, and SEMA4F were found to be significantly associated with clinical stage, immune infiltration, immune response, and important signaling pathways in endometrial cancer. The reclassification of endometrial cancer based on NRG expression would be beneficial for future clinical practice. The genes CHRM2, GRIN1, L1CAM, and SEMA4F might serve as potential biomarkers of EC prognosis.

摘要

子宫内膜癌（EC）是最常见的妇科恶性肿瘤，其发病率逐年上升。神经信号传导是肿瘤微环境的一部分，在肿瘤进展和侵袭中发挥着积极作用。然而，神经相关基因（NRGs）的表达与子宫内膜癌预后之间的关系尚不清楚。在本研究中，我们从癌症基因组图谱（TCGA）获得了EC的RNA测序数据。根据神经相关基因（NRGs）的表达将子宫内膜癌分为两种亚型，在临床分期、病理分级和预后方面存在统计学差异。通过LASSO-Cox分析建立了预后预测模型，结果表明NRGs的高表达与不良生存预后相关。此外，发现CHRM2、GRIN1、L1CAM和SEMA4F与子宫内膜癌的临床分期、免疫浸润、免疫反应和重要信号通路显著相关。基于NRG表达对子宫内膜癌进行重新分类将有利于未来的临床实践。CHRM2、GRIN1、L1CAM和SEMA4F基因可能作为EC预后的潜在生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/d2047b0eb76e/fonc-12-951437-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/d866ee83cdc5/fonc-12-951437-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/4a0252cf6b89/fonc-12-951437-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/ff4348413647/fonc-12-951437-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/ebf73c3ac5b2/fonc-12-951437-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/3418dd24a8c3/fonc-12-951437-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/74e82d3acc9a/fonc-12-951437-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/47bed0af7a27/fonc-12-951437-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/ccc0219f43bb/fonc-12-951437-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/2b5fa2eac210/fonc-12-951437-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/d2047b0eb76e/fonc-12-951437-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/d866ee83cdc5/fonc-12-951437-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/4a0252cf6b89/fonc-12-951437-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/ff4348413647/fonc-12-951437-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/ebf73c3ac5b2/fonc-12-951437-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/3418dd24a8c3/fonc-12-951437-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/74e82d3acc9a/fonc-12-951437-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/47bed0af7a27/fonc-12-951437-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/ccc0219f43bb/fonc-12-951437-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/2b5fa2eac210/fonc-12-951437-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d778/9537575/d2047b0eb76e/fonc-12-951437-g010.jpg

相似文献

1
Reclassification of endometrial cancer and identification of key genes based on neural-related genes.基于神经相关基因的子宫内膜癌重新分类及关键基因鉴定
Front Oncol. 2022 Sep 23;12:951437. doi: 10.3389/fonc.2022.951437. eCollection 2022.
2
Reclassification of Hepatocellular Cancer With Neural-Related Genes.肝细胞癌与神经相关基因的重新分类
Front Oncol. 2022 May 13;12:877657. doi: 10.3389/fonc.2022.877657. eCollection 2022.
3
Integrative Analysis of Neuregulin Family Members-Related Tumor Microenvironment for Predicting the Prognosis in Gliomas.神经调节蛋白家族成员相关肿瘤微环境的综合分析预测胶质瘤的预后。
Front Immunol. 2021 May 13;12:682415. doi: 10.3389/fimmu.2021.682415. eCollection 2021.
4
Identification and validation of necroptosis-related prognostic gene signature and tumor immune microenvironment infiltration characterization in esophageal carcinoma.食管癌中坏死性凋亡相关预后基因特征的鉴定和验证及肿瘤免疫微环境浸润特征分析。
BMC Gastroenterol. 2022 Jul 15;22(1):344. doi: 10.1186/s12876-022-02423-6.
5
Machine learning-based neddylation landscape indicates different prognosis and immune microenvironment in endometrial cancer.基于机器学习的泛素化修饰格局显示子宫内膜癌具有不同的预后和免疫微环境。
Front Oncol. 2023 Feb 22;13:1084523. doi: 10.3389/fonc.2023.1084523. eCollection 2023.
6
Expression profile of epithelial-mesenchymal transition-related genes as a prognostic biomarker for endometrial cancer.上皮-间质转化相关基因的表达谱作为子宫内膜癌的一种预后生物标志物
J Cancer. 2021 Sep 3;12(21):6484-6496. doi: 10.7150/jca.62729. eCollection 2021.
7
Identification of necroptosis-related subtypes and prognosis model in triple negative breast cancer.鉴定三阴性乳腺癌中的坏死性凋亡相关亚型和预后模型。
Front Immunol. 2022 Aug 19;13:964118. doi: 10.3389/fimmu.2022.964118. eCollection 2022.
8
L1CAM is an independent predictor of poor survival in endometrial cancer - An analysis of The Cancer Genome Atlas (TCGA).L1细胞粘附分子是子宫内膜癌患者不良生存的独立预测因子——一项基于癌症基因组图谱（TCGA）的分析。
Gynecol Oncol. 2016 May;141(2):336-340. doi: 10.1016/j.ygyno.2016.02.003. Epub 2016 Feb 6.
9
Construction of a microenvironment immune gene model for predicting the prognosis of endometrial cancer.构建用于预测子宫内膜癌预后的微环境免疫基因模型。
BMC Cancer. 2021 Nov 11;21(1):1203. doi: 10.1186/s12885-021-08935-w.
10
Comprehensive analysis to identify the neurotransmitter receptor-related genes as prognostic and therapeutic biomarkers in hepatocellular carcinoma.综合分析以鉴定神经递质受体相关基因作为肝细胞癌的预后和治疗生物标志物。
Front Cell Dev Biol. 2022 Aug 5;10:887076. doi: 10.3389/fcell.2022.887076. eCollection 2022.

引用本文的文献

1
NRDR Inhibits the Migration of Endometrial Cancer Cells and Affects Their Gene Expression.核苷酸还原酶抑制因子（NRDR）抑制子宫内膜癌细胞的迁移并影响其基因表达。
Scientifica (Cairo). 2025 Jul 7;2025:2495655. doi: 10.1155/sci5/2495655. eCollection 2025.
2
Integrating network pharmacology and experimental validation to reveal the anti-growth mechanism of panaxadiol against glioblastoma via calcium signaling.整合网络药理学与实验验证以揭示人参二醇通过钙信号传导对胶质母细胞瘤的抗生长机制。
Front Mol Biosci. 2025 May 16;12:1598413. doi: 10.3389/fmolb.2025.1598413. eCollection 2025.
3
SMASH: Scalable Method for Analyzing Spatial Heterogeneity of genes in spatial transcriptomics data.

本文引用的文献

1
Reclassification of Hepatocellular Cancer With Neural-Related Genes.肝细胞癌与神经相关基因的重新分类
Front Oncol. 2022 May 13;12:877657. doi: 10.3389/fonc.2022.877657. eCollection 2022.
2
The R Language: An Engine for Bioinformatics and Data Science.R语言：生物信息学与数据科学的引擎
Life (Basel). 2022 Apr 27;12(5):648. doi: 10.3390/life12050648.
3
Neural plasticity of the uterus: New targets for endometrial cancer?子宫的神经可塑性：子宫内膜癌的新靶点？
SMASH：空间转录组学数据中分析基因空间异质性的可扩展方法。
PLoS Genet. 2023 Oct 20;19(10):e1010983. doi: 10.1371/journal.pgen.1010983. eCollection 2023 Oct.
4
ZAP70 interaction with 13 mRNAs as a potential immunotherapeutic target for endometrial cancer.ZAP70与13种mRNA的相互作用作为子宫内膜癌潜在的免疫治疗靶点。
Oncol Lett. 2023 Apr 6;25(5):213. doi: 10.3892/ol.2023.13799. eCollection 2023 May.
Womens Health (Lond). 2022 Jan-Dec;18:17455057221095537. doi: 10.1177/17455057221095537.
4
Cancer statistics in China and United States, 2022: profiles, trends, and determinants.中国和美国 2022 年癌症统计数据：概况、趋势和决定因素。
Chin Med J (Engl). 2022 Feb 9;135(5):584-590. doi: 10.1097/CM9.0000000000002108.
5
Methods to Analyze Time-to-Event Data: The Cox Regression Analysis.分析事件时间数据的方法：Cox 回归分析。
Oxid Med Cell Longev. 2021 Nov 30;2021:1302811. doi: 10.1155/2021/1302811. eCollection 2021.
6
Identification of Hub Gene GRIN1 Correlated with Histological Grade and Prognosis of Glioma by Weighted Gene Coexpression Network Analysis.基于加权基因共表达网络分析鉴定与胶质瘤组织学分级和预后相关的枢纽基因 GRIN1。
Biomed Res Int. 2021 Nov 19;2021:4542995. doi: 10.1155/2021/4542995. eCollection 2021.
7
Perturbed BMP signaling and denervation promote muscle wasting in cancer cachexia.BMP 信号通路紊乱和去神经支配促进癌症恶病质中的肌肉消耗。
Sci Transl Med. 2021 Aug 4;13(605). doi: 10.1126/scitranslmed.aay9592.
8
The Clinical Significance of DJ1 and L1CAM Serum Level Monitoring in Patients with Endometrial Cancer.DJ1和L1CAM血清水平监测在子宫内膜癌患者中的临床意义
J Clin Med. 2021 Jun 15;10(12):2640. doi: 10.3390/jcm10122640.
9
Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.《全球癌症统计数据 2020：全球 185 个国家和地区 36 种癌症的发病率和死亡率估计》。
CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322/caac.21660. Epub 2021 Feb 4.
10
Cancer Statistics, 2021.癌症统计数据，2021.
CA Cancer J Clin. 2021 Jan;71(1):7-33. doi: 10.3322/caac.21654. Epub 2021 Jan 12.