• 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

年龄和性别对胶质母细胞瘤的发病、进展及治疗的影响。

Impact of age and gender on glioblastoma onset, progression, and management.

作者信息

Colopi Ambra, Fuda Serena, Santi Samuele, Onorato Angelo, Cesarini Valeriana, Salvati Maurizio, Balistreri Carmela Rita, Dolci Susanna, Guida Eugenia

机构信息

Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.

Department of Biomedicine, Institute of Translational Pharmacology-CNR, Rome, Italy.

出版信息

Mech Ageing Dev. 2023 Apr;211:111801. doi: 10.1016/j.mad.2023.111801. Epub 2023 Mar 28.

DOI:10.1016/j.mad.2023.111801
PMID:36996926
Abstract

Glioblastoma (GBM) is the most common primary malignant brain tumor in adults, while its frequency in pediatric patients is 10-15%. For this reason, age is considered one of the major risk factors for the development of GBM, as it correlates with cellular aging phenomena involving glial cells and favoring the process of tumor transformation. Gender differences have been also identified, as the incidence of GBM is higher in males than in females, coupled with a worse outcome. In this review, we analyze age- and gender- dependent differences in GBM onset, mutational landscape, clinical manifestations, and survival, according to the literature of the last 20 years, focusing on the major risk factors involved in tumor development and on the mutations and gene alterations most frequently found in adult vs young patients and in males vs females. We then highlight the impact of age and gender on clinical manifestations and tumor localization and their involvement in the time of diagnosis and in determining the tumor prognostic value.

摘要

胶质母细胞瘤(GBM)是成人中最常见的原发性恶性脑肿瘤,而在儿科患者中的发病率为10%-15%。因此,年龄被认为是GBM发生的主要风险因素之一,因为它与涉及神经胶质细胞的细胞衰老现象相关,并有利于肿瘤转化过程。也已确定存在性别差异,因为GBM的发病率男性高于女性,且预后更差。在本综述中,我们根据过去20年的文献,分析GBM发病、突变图谱、临床表现和生存率方面的年龄和性别依赖性差异,重点关注肿瘤发生所涉及的主要风险因素以及成年与年轻患者、男性与女性中最常发现的突变和基因改变。然后,我们强调年龄和性别对临床表现和肿瘤定位的影响,以及它们在诊断时间和确定肿瘤预后价值方面的作用。

相似文献

1
Impact of age and gender on glioblastoma onset, progression, and management.年龄和性别对胶质母细胞瘤的发病、进展及治疗的影响。
Mech Ageing Dev. 2023 Apr;211:111801. doi: 10.1016/j.mad.2023.111801. Epub 2023 Mar 28.
2
A comprehensive prognostic signature for glioblastoma patients based on transcriptomics and single cell sequencing.基于转录组学和单细胞测序的胶质母细胞瘤患者综合预后标志物。
Cell Oncol (Dordr). 2021 Aug;44(4):917-935. doi: 10.1007/s13402-021-00612-1. Epub 2021 Jun 17.
3
The post-surgical era of GBM: How molecular biology has impacted on our clinical management. A review.胶质母细胞瘤的术后时代:分子生物学如何影响我们的临床管理。综述。
Clin Neurol Neurosurg. 2018 Jul;170:120-126. doi: 10.1016/j.clineuro.2018.05.015.
4
EGFR amplification is a real independent prognostic impact factor between young adults and adults over 45yo with wild-type glioblastoma?EGFR 扩增是否是 45 岁以上野生型胶质母细胞瘤年轻成人和成人之间真正独立的预后影响因素?
J Neurooncol. 2020 Jan;146(2):275-284. doi: 10.1007/s11060-019-03364-z. Epub 2019 Dec 30.
5
A population-based description of glioblastoma multiforme in Los Angeles County, 1974-1999.1974 - 1999年洛杉矶县多形性胶质母细胞瘤的基于人群的描述。
Cancer. 2005 Dec 15;104(12):2798-806. doi: 10.1002/cncr.21539.
6
Negative prognostic impact of epidermal growth factor receptor copy number gain in young adults with isocitrate dehydrogenase wild-type glioblastoma.表皮生长因子受体拷贝数增益对异柠檬酸脱氢酶野生型胶质母细胞瘤年轻患者的预后有不良影响。
J Neurooncol. 2019 Nov;145(2):321-328. doi: 10.1007/s11060-019-03298-6. Epub 2019 Sep 21.
7
Postoperative standard chemoradiotherapy benefits primary glioblastoma patients of all ages.术后标准放化疗有益于所有年龄段的原发性胶质母细胞瘤患者。
Cancer Med. 2020 Mar;9(6):1955-1965. doi: 10.1002/cam4.2754. Epub 2019 Dec 18.
8
The influence of patient sex on clinical approaches to malignant glioma.患者性别对恶性脑胶质瘤临床治疗方法的影响。
Cancer Lett. 2020 Jan 1;468:41-47. doi: 10.1016/j.canlet.2019.10.012. Epub 2019 Oct 9.
9
Widely metastatic glioblastoma with BRCA1 and ARID1A mutations: a case report.广泛转移的胶质母细胞瘤伴 BRCA1 和 ARID1A 突变:一例报告。
BMC Cancer. 2020 Jan 20;20(1):47. doi: 10.1186/s12885-020-6540-1.
10
Isocitrate dehydrogenase-1 mutations as prognostic biomarker in glioblastoma multiforme patients in West Bohemia.异柠檬酸脱氢酶-1突变作为西波希米亚多形性胶质母细胞瘤患者的预后生物标志物
Biomed Res Int. 2014;2014:735659. doi: 10.1155/2014/735659. Epub 2014 Jan 9.

引用本文的文献

1
CAR-T cell therapy for glioblastoma: advances, challenges, and future directions.胶质母细胞瘤的嵌合抗原受体T细胞疗法:进展、挑战与未来方向
Ann Med Surg (Lond). 2025 Jul 18;87(9):5743-5756. doi: 10.1097/MS9.0000000000003607. eCollection 2025 Sep.
2
Machine Learning-Driven radiomics on 18 F-FDG PET for glioma diagnosis: a systematic review and meta-analysis.基于18F-FDG PET的机器学习驱动的放射组学在胶质瘤诊断中的应用:一项系统评价和荟萃分析
Cancer Imaging. 2025 Aug 26;25(1):106. doi: 10.1186/s40644-025-00915-8.
3
A deep learning model to predict glioma recurrence using integrated genomic and clinical data.
一种利用整合的基因组和临床数据预测神经胶质瘤复发的深度学习模型。
Commun Med (Lond). 2025 Aug 19;5(1):359. doi: 10.1038/s43856-025-01083-3.
4
Analysis of epidemiology and nomogram construction for prediction and clinical decision-making in gliomas.胶质瘤的流行病学分析及预测与临床决策列线图构建
Front Immunol. 2025 Aug 1;16:1624142. doi: 10.3389/fimmu.2025.1624142. eCollection 2025.
5
New Insights into Monocyte-Derived Macrophages in Glioblastoma.胶质母细胞瘤中单核细胞衍生巨噬细胞的新见解
Research (Wash D C). 2025 Aug 12;8:0836. doi: 10.34133/research.0836. eCollection 2025.
6
Sociodemographic factors predict outcomes and reveal spatial tumor patterns in glioblastoma.社会人口统计学因素可预测胶质母细胞瘤的预后并揭示其肿瘤空间分布模式。
Neurooncol Adv. 2025 Jun 20;7(1):vdaf137. doi: 10.1093/noajnl/vdaf137. eCollection 2025 Jan-Dec.
7
Glioblastoma in young adult patients: contemporary patterns of care and survival in the United States.年轻成年患者的胶质母细胞瘤:美国的当代治疗模式与生存情况
J Neurooncol. 2025 Jul 15. doi: 10.1007/s11060-025-05135-5.
8
Glioblastoma: Overview of Proteomic Investigations and Biobank Approaches for the Development of a Multidisciplinary Translational Network.胶质母细胞瘤:蛋白质组学研究及生物样本库方法概述,用于构建多学科转化网络
Cancers (Basel). 2025 Jun 26;17(13):2151. doi: 10.3390/cancers17132151.
9
New microRNA-based therapies reveal common targets in paediatric medulloblastoma and adult glioblastoma.基于新型微小RNA的疗法揭示了儿童髓母细胞瘤和成人胶质母细胞瘤的共同靶点。
Sci Rep. 2025 Jul 2;15(1):23044. doi: 10.1038/s41598-025-05517-9.
10
Automated feature learning and survival prognostication in grade 4 glioma using supervised machine learning models.使用监督式机器学习模型对四级胶质瘤进行自动特征学习和生存预后分析。
J Neurooncol. 2025 Jun 16. doi: 10.1007/s11060-025-05099-6.