• 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

TP53突变的高发生率与胶质肉瘤患者的低生存率及上皮-间质转化特征相关。

High prevalence of TP53 mutations is associated with poor survival and an EMT signature in gliosarcoma patients.

作者信息

Cho Sung-Yup, Park Changho, Na Deukchae, Han Jee Yun, Lee Jieun, Park Ok-Kyoung, Zhang Chengsheng, Sung Chang Ohk, Moon Hyo Eun, Kim Yona, Kim Jeong Hoon, Kim Jong Jae, Khang Shin Kwang, Nam Do-Hyun, Choi Jung Won, Suh Yeon-Lim, Kim Dong Gyu, Park Sung Hye, Youn Hyewon, Yun Kyuson, Kim Jong-Il, Lee Charles, Paek Sun Ha, Park Hansoo

机构信息

Ewha Institute of Convergence Medicine, Ewha Womans University Mokdong Hospital, Seoul, Korea.

Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.

出版信息

Exp Mol Med. 2017 Apr 14;49(4):e317. doi: 10.1038/emm.2017.9.

DOI:10.1038/emm.2017.9
PMID:28408749
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5420801/
Abstract

Gliosarcoma (GS) is a rare variant (2%) of glioblastoma (GBM) that poses clinical genomic challenges because of its poor prognosis and limited genomic information. To gain a comprehensive view of the genomic alterations in GS and to understand the molecular etiology of GS, we applied whole-exome sequencing analyses for 28 GS cases (6 blood-matched fresh-frozen tissues for the discovery set, 22 formalin-fixed paraffin-embedded tissues for the validation set) and copy-number variation microarrays for 5 blood-matched fresh-frozen tissues. TP53 mutations were more prevalent in the GS cases (20/28, 70%) compared to the GBM cases (29/90, 32%), and the GS patients with TP53 mutations showed a significantly shorter survival (multivariate Cox analysis, hazard ratio=23.9, 95% confidence interval, 2.87-199.63, P=0.003). A pathway analysis showed recurrent alterations in MAPK signaling (EGFR, RASGRF2 and TP53), phosphatidylinositol/calcium signaling (CACNA1s, PLCs and ITPRs) and focal adhesion/tight junction (PTEN and PAK3) pathways. Genomic profiling of the matched recurrent GS cases detected the occurrence of TP53 mutations in two recurrent GS cases, which suggests that TP53 mutations play a role in treatment resistance. Functionally, we found that TP53 mutations are associated with the epithelial-mesenchymal transition (EMT) process of sarcomatous components of GS. We provide the first comprehensive genome-wide genetic alternation profiling of GS, which suggests novel prognostic subgroups in GS patients based on their TP53 mutation status and provides new insight in the pathogenesis and targeted treatment of GS.

摘要

胶质肉瘤(GS)是胶质母细胞瘤(GBM)的一种罕见变体(2%),由于其预后较差且基因组信息有限,给临床基因组学带来了挑战。为了全面了解GS中的基因组改变并理解GS的分子病因,我们对28例GS病例进行了全外显子测序分析(6例血液匹配的新鲜冷冻组织用于发现集,22例福尔马林固定石蜡包埋组织用于验证集),并对5例血液匹配的新鲜冷冻组织进行了拷贝数变异微阵列分析。与GBM病例(29/90,32%)相比,TP53突变在GS病例中更为普遍(20/28,70%),并且具有TP53突变的GS患者生存期明显更短(多变量Cox分析,风险比=23.9,95%置信区间,2.87 - 199.63,P = 0.003)。通路分析显示丝裂原活化蛋白激酶信号通路(EGFR、RASGRF2和TP53)、磷脂酰肌醇/钙信号通路(CACNA1s、PLCs和ITPRs)以及粘着斑/紧密连接通路(PTEN和PAK3)存在反复改变。对匹配的复发性GS病例进行基因组分析,在两例复发性GS病例中检测到TP53突变的发生,这表明TP53突变在治疗耐药中起作用。在功能上,我们发现TP53突变与GS肉瘤成分的上皮-间质转化(EMT)过程相关。我们提供了首个全面的GS全基因组遗传改变图谱,这表明基于TP53突变状态可在GS患者中划分出新的预后亚组,并为GS的发病机制和靶向治疗提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a111/5420801/9e592f5e1e19/emm20179f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a111/5420801/d767e67259f1/emm20179f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a111/5420801/2d75fca5d160/emm20179f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a111/5420801/a4a5709fe6ba/emm20179f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a111/5420801/9e592f5e1e19/emm20179f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a111/5420801/d767e67259f1/emm20179f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a111/5420801/2d75fca5d160/emm20179f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a111/5420801/a4a5709fe6ba/emm20179f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a111/5420801/9e592f5e1e19/emm20179f4.jpg

相似文献

1
High prevalence of TP53 mutations is associated with poor survival and an EMT signature in gliosarcoma patients.TP53突变的高发生率与胶质肉瘤患者的低生存率及上皮-间质转化特征相关。
Exp Mol Med. 2017 Apr 14;49(4):e317. doi: 10.1038/emm.2017.9.
2
Genomic landscape of gliosarcoma: distinguishing features and targetable alterations.胶质肉瘤的基因组景观:鉴别特征和可靶向改变。
Sci Rep. 2021 Sep 9;11(1):18009. doi: 10.1038/s41598-021-97454-6.
3
Gliosarcoma vs. glioblastoma: a retrospective case series using molecular profiling.少突胶质细胞瘤与胶质母细胞瘤的对比:基于分子谱特征的回顾性病例系列研究。
BMC Neurol. 2021 Jun 23;21(1):231. doi: 10.1186/s12883-021-02233-5.
4
Primary and secondary gliosarcomas: clinical, molecular and survival characteristics.原发性和继发性胶质肉瘤:临床、分子及生存特征
J Neurooncol. 2015 Nov;125(2):401-10. doi: 10.1007/s11060-015-1930-y. Epub 2015 Sep 9.
5
Gliosarcomas lack BRAF mutation, but a subset exhibit β-catenin nuclear localization.胶质肉瘤缺乏BRAF突变,但有一部分表现出β-连环蛋白核定位。
Neuropathology. 2016 Oct;36(5):448-455. doi: 10.1111/neup.12293. Epub 2016 Mar 2.
6
Gliosarcoma with PNET features mimicking a metastatic neuroendocrine carcinoma: A diagnostic dilemma.具有 PNET 特征的神经胶肉瘤酷似转移性神经内分泌癌:诊断难题。
Clin Neuropathol. 2021 Sep-Oct;40(5):279-285. doi: 10.5414/NP301388.
7
Detection of p53 mutations in proliferating vascular cells in glioblastoma multiforme.多形性胶质母细胞瘤中增殖血管细胞p53突变的检测
J Neurosurg. 2015 Feb;122(2):317-23. doi: 10.3171/2014.10.JNS132159. Epub 2014 Nov 21.
8
Gliosarcoma with osteosarcomatous component: A case report and short review illustration.伴骨样肉瘤分化的胶质肉瘤:一例报告及文献复习简述。
Pathol Res Pract. 2022 Apr;232:153837. doi: 10.1016/j.prp.2022.153837. Epub 2022 Mar 7.
9
Gliosarcomas with the V600E mutation: a report of two cases and review of the literature.伴有V600E突变的胶质肉瘤:两例报告及文献综述
J Clin Pathol. 2017 Dec;70(12):1079-1083. doi: 10.1136/jclinpath-2017-204620. Epub 2017 Aug 3.
10
Genetic alteration and clonal evolution of primary glioblastoma into secondary gliosarcoma.原发性脑胶质瘤演变为继发性胶质肉瘤的遗传改变和克隆进化。
CNS Neurosci Ther. 2021 Dec;27(12):1483-1492. doi: 10.1111/cns.13740. Epub 2021 Oct 4.

引用本文的文献

1
Rare osseous mastoid invasion of secondary gliosarcoma: illustrative case.继发性胶质肉瘤罕见的骨质乳突侵犯:病例说明
J Neurosurg Case Lessons. 2025 Jul 21;10(3). doi: 10.3171/CASE25179.
2
Increased CCL18 expression infers a poor prognosis in glioblastoma multiforme and promotes U-87 MG cell proliferation and migration: A retrospective cohort study.CCL18表达增加提示多形性胶质母细胞瘤预后不良并促进U-87 MG细胞增殖和迁移:一项回顾性队列研究。
Medicine (Baltimore). 2025 May 30;104(22):e42009. doi: 10.1097/MD.0000000000042009.
3
Gliosarcoma: A Multi-Institutional Analysis on Clinical Outcomes and Prognostic Factors.

本文引用的文献

1
Genetic Alterations in Gliosarcoma and Giant Cell Glioblastoma.胶质肉瘤和巨细胞胶质母细胞瘤中的基因改变
Brain Pathol. 2016 Jul;26(4):517-22. doi: 10.1111/bpa.12328. Epub 2015 Dec 16.
2
Primary and secondary gliosarcomas: clinical, molecular and survival characteristics.原发性和继发性胶质肉瘤:临床、分子及生存特征
J Neurooncol. 2015 Nov;125(2):401-10. doi: 10.1007/s11060-015-1930-y. Epub 2015 Sep 9.
3
Ultra-Sensitive Detection of the Pretreatment EGFR T790M Mutation in Non-Small Cell Lung Cancer Patients with an EGFR-Activating Mutation Using Droplet Digital PCR.
胶质肉瘤:临床结局和预后因素的多机构分析。
Cancer Med. 2024 Nov;13(22):e70347. doi: 10.1002/cam4.70347.
4
Unveiling divergent treatment prognoses in IDHwt-GBM subtypes through multiomics clustering: a swift dual MRI-mRNA model for precise subtype prediction.通过多组学聚类揭示 IDHwt-GBM 亚型中的不同治疗预后:一种快速的双重 MRI-mRNA 模型,用于精准的亚型预测。
J Transl Med. 2024 Jun 18;22(1):578. doi: 10.1186/s12967-024-05401-6.
5
TGIF2 is a potential biomarker for diagnosis and prognosis of glioma.TGIF2 是一种潜在的用于诊断和预测脑胶质瘤的生物标志物。
Front Immunol. 2024 Feb 26;15:1356833. doi: 10.3389/fimmu.2024.1356833. eCollection 2024.
6
TGF-β and BMP signaling are associated with the transformation of glioblastoma to gliosarcoma and then osteosarcoma.转化生长因子-β(TGF-β)和骨形态发生蛋白(BMP)信号传导与胶质母细胞瘤向胶质肉瘤进而向骨肉瘤的转变有关。
Neurooncol Adv. 2023 Dec 19;6(1):vdad164. doi: 10.1093/noajnl/vdad164. eCollection 2024 Jan-Dec.
7
Primary Intracranial Gliosarcoma: Is It Really a Variant of Glioblastoma? An Update of the Clinical, Radiological, and Biomolecular Characteristics.原发性颅内胶质肉瘤:它真的是胶质母细胞瘤的一种变体吗?临床、放射学及生物分子特征的最新进展
J Clin Med. 2023 Dec 22;13(1):83. doi: 10.3390/jcm13010083.
8
Pediatric gliosarcoma, a rare central nervous system tumor in children: Case report and literature review.小儿胶质肉瘤,一种儿童罕见的中枢神经系统肿瘤:病例报告及文献综述
Heliyon. 2023 Oct 22;9(11):e21204. doi: 10.1016/j.heliyon.2023.e21204. eCollection 2023 Nov.
9
Prevalence, causes and impact of TP53-loss phenocopying events in human tumors.人类肿瘤中 TP53 缺失表型模拟事件的流行率、原因和影响。
BMC Biol. 2023 Apr 24;21(1):92. doi: 10.1186/s12915-023-01595-1.
10
Primary gliosarcoma with widespread extracranial metastases-spatiotemporal morphological variation.伴有广泛颅外转移的原发性胶质肉瘤——时空形态学变异
Chin Neurosurg J. 2022 Aug 5;8(1):20. doi: 10.1186/s41016-022-00285-1.
采用液滴数字 PCR 技术对有 EGFR 激活突变的非小细胞肺癌患者进行预处理 EGFR T790M 突变的超灵敏检测。
Clin Cancer Res. 2015 Aug 1;21(15):3552-60. doi: 10.1158/1078-0432.CCR-14-2151. Epub 2015 Apr 16.
4
Development and validation of the JAX Cancer Treatment Profile™ for detection of clinically actionable mutations in solid tumors.用于检测实体瘤中具有临床可操作性突变的JAX癌症治疗概况™的开发与验证
Exp Mol Pathol. 2015 Feb;98(1):106-12. doi: 10.1016/j.yexmp.2014.12.009. Epub 2015 Jan 3.
5
From FastQ data to high confidence variant calls: the Genome Analysis Toolkit best practices pipeline.从FastQ数据到高可信度变异检测:基因组分析工具包最佳实践流程
Curr Protoc Bioinformatics. 2013;43(1110):11.10.1-11.10.33. doi: 10.1002/0471250953.bi1110s43.
6
Inferring copy number and genotype in tumour exome data.推断肿瘤外显子组数据中的拷贝数和基因型。
BMC Genomics. 2014 Aug 28;15(1):732. doi: 10.1186/1471-2164-15-732.
7
Most human non-GCIMP glioblastoma subtypes evolve from a common proneural-like precursor glioma.大多数人类非 GCIMP 胶质母细胞瘤亚型起源于常见的神经前体细胞样前胶质瘤。
Cancer Cell. 2014 Aug 11;26(2):288-300. doi: 10.1016/j.ccr.2014.06.005.
8
PatternCNV: a versatile tool for detecting copy number changes from exome sequencing data.PatternCNV:一种用于从外显子组测序数据中检测拷贝数变化的通用工具。
Bioinformatics. 2014 Sep 15;30(18):2678-80. doi: 10.1093/bioinformatics/btu363. Epub 2014 May 29.
9
Molecular mechanisms of epithelial-mesenchymal transition.上皮-间质转化的分子机制。
Nat Rev Mol Cell Biol. 2014 Mar;15(3):178-96. doi: 10.1038/nrm3758.
10
Data, information, knowledge and principle: back to metabolism in KEGG.数据、信息、知识和原理:回到 KEGG 的代谢途径中。
Nucleic Acids Res. 2014 Jan;42(Database issue):D199-205. doi: 10.1093/nar/gkt1076. Epub 2013 Nov 7.