• 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

高级别浆液性卵巢癌小鼠模型的空间和时间分辨代谢组学

Space- and Time-Resolved Metabolomics of a High-Grade Serous Ovarian Cancer Mouse Model.

作者信息

Sah Samyukta, Ma Xin, Botros Andro, Gaul David A, Yun Sylvia R, Park Eun Young, Kim Olga, Moore Samuel G, Kim Jaeyeon, Fernández Facundo M

机构信息

School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA 30332, USA.

Departments of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.

出版信息

Cancers (Basel). 2022 Apr 30;14(9):2262. doi: 10.3390/cancers14092262.

DOI:10.3390/cancers14092262
PMID:35565391
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9104348/
Abstract

The dismally low survival rate of ovarian cancer patients diagnosed with high-grade serous carcinoma (HGSC) emphasizes the lack of effective screening strategies. One major obstacle is the limited knowledge of the underlying mechanisms of HGSC pathogenesis at very early stages. Here, we present the first 10-month time-resolved serum metabolic profile of a triple mutant (TKO) HGSC mouse model, along with the spatial lipidome profile of its entire reproductive system. A high-coverage liquid chromatography mass spectrometry-based metabolomics approach was applied to longitudinally collected serum samples from both TKO ( = 15) and TKO control mice ( = 15), tracking metabolome and lipidome changes from premalignant stages to tumor initiation, early stages, and advanced stages until mouse death. Time-resolved analysis showed specific temporal trends for 17 lipid classes, amino acids, and TCA cycle metabolites, associated with HGSC progression. Spatial lipid distributions within the reproductive system were also mapped via ultrahigh-resolution matrix-assisted laser desorption/ionization (MALDI) mass spectrometry and compared with serum lipid profiles for various lipid classes. Altogether, our results show that the remodeling of lipid and fatty acid metabolism, amino acid biosynthesis, TCA cycle and ovarian steroidogenesis are critical components of HGSC onset and development. These metabolic alterations are accompanied by changes in energy metabolism, mitochondrial and peroxisomal function, redox homeostasis, and inflammatory response, collectively supporting tumorigenesis.

摘要

被诊断为高级别浆液性癌(HGSC)的卵巢癌患者极低的生存率凸显了缺乏有效筛查策略的问题。一个主要障碍是对HGSC在极早期发病机制的了解有限。在此,我们展示了三突变(TKO)HGSC小鼠模型的首个10个月时间分辨血清代谢谱,以及其整个生殖系统的空间脂质组图谱。一种基于高覆盖率液相色谱质谱的代谢组学方法被应用于纵向收集的来自TKO组(n = 15)和TKO对照组小鼠(n = 15)的血清样本,追踪从癌前阶段到肿瘤起始、早期和晚期直至小鼠死亡期间代谢组和脂质组的变化。时间分辨分析显示了17种脂质类别、氨基酸和三羧酸循环代谢物的特定时间趋势,这些与HGSC进展相关。还通过超高分辨率基质辅助激光解吸/电离(MALDI)质谱对生殖系统内的空间脂质分布进行了图谱绘制,并与各种脂质类别的血清脂质谱进行了比较。总之,我们的结果表明脂质和脂肪酸代谢、氨基酸生物合成、三羧酸循环和卵巢类固醇生成的重塑是HGSC发生和发展的关键组成部分。这些代谢改变伴随着能量代谢、线粒体和过氧化物酶体功能、氧化还原稳态和炎症反应的变化,共同支持肿瘤发生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d1d/9104348/32cde9503992/cancers-14-02262-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d1d/9104348/4010d0ea177c/cancers-14-02262-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d1d/9104348/d8dc12185e75/cancers-14-02262-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d1d/9104348/625805ef440f/cancers-14-02262-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d1d/9104348/a846d5ddd8ac/cancers-14-02262-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d1d/9104348/32cde9503992/cancers-14-02262-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d1d/9104348/4010d0ea177c/cancers-14-02262-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d1d/9104348/d8dc12185e75/cancers-14-02262-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d1d/9104348/625805ef440f/cancers-14-02262-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d1d/9104348/a846d5ddd8ac/cancers-14-02262-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d1d/9104348/32cde9503992/cancers-14-02262-g005.jpg

相似文献

1
Space- and Time-Resolved Metabolomics of a High-Grade Serous Ovarian Cancer Mouse Model.高级别浆液性卵巢癌小鼠模型的空间和时间分辨代谢组学
Cancers (Basel). 2022 Apr 30;14(9):2262. doi: 10.3390/cancers14092262.
2
Deep Metabolomics of a High-Grade Serous Ovarian Cancer Triple-Knockout Mouse Model.高级别浆液性卵巢癌三敲除小鼠模型的深度代谢组学研究。
J Proteome Res. 2019 Aug 2;18(8):3184-3194. doi: 10.1021/acs.jproteome.9b00263. Epub 2019 Jul 10.
3
Targeted Microchip Capillary Electrophoresis-Orbitrap Mass Spectrometry Metabolomics to Monitor Ovarian Cancer Progression.靶向微芯片毛细管电泳-轨道阱质谱代谢组学用于监测卵巢癌进展
Metabolites. 2022 Jun 9;12(6):532. doi: 10.3390/metabo12060532.
4
Ultrahigh Resolution Lipid Mass Spectrometry Imaging of High-Grade Serous Ovarian Cancer Mouse Models.高级别浆液性卵巢癌小鼠模型的超高分辨率脂质质谱成像
bioRxiv. 2023 Nov 2:2023.10.30.564760. doi: 10.1101/2023.10.30.564760.
5
Ultrahigh resolution lipid mass spectrometry imaging of high-grade serous ovarian cancer mouse models.高级别浆液性卵巢癌小鼠模型的超高分辨率脂质质谱成像
Front Chem. 2024 Jan 8;11:1332816. doi: 10.3389/fchem.2023.1332816. eCollection 2023.
6
Metabolomic serum profiling detects early-stage high-grade serous ovarian cancer in a mouse model.代谢组学血清分析在小鼠模型中检测早期高级别浆液性卵巢癌。
J Proteome Res. 2015 Feb 6;14(2):917-27. doi: 10.1021/pr5009948. Epub 2015 Jan 16.
7
Machine Learning Reveals Lipidome Remodeling Dynamics in a Mouse Model of Ovarian Cancer.机器学习揭示了卵巢癌小鼠模型中的脂质组重塑动态。
J Proteome Res. 2023 Jun 2;22(6):2092-2108. doi: 10.1021/acs.jproteome.3c00226. Epub 2023 May 23.
8
Machine Learning Reveals Lipidome Remodeling Dynamics in a Mouse Model of Ovarian Cancer.机器学习揭示卵巢癌小鼠模型中的脂质组重塑动态
bioRxiv. 2023 Jan 4:2023.01.04.520434. doi: 10.1101/2023.01.04.520434.
9
Metabolic Markers and Statistical Prediction of Serous Ovarian Cancer Aggressiveness by Ambient Ionization Mass Spectrometry Imaging.通过环境电离质谱成像技术对浆液性卵巢癌侵袭性的代谢标志物及统计预测
Cancer Res. 2017 Jun 1;77(11):2903-2913. doi: 10.1158/0008-5472.CAN-16-3044. Epub 2017 Apr 17.
10
Spatial-resolved metabolomics reveals tissue-specific metabolic reprogramming in diabetic nephropathy by using mass spectrometry imaging.空间分辨代谢组学通过质谱成像揭示糖尿病肾病中组织特异性的代谢重编程。
Acta Pharm Sin B. 2021 Nov;11(11):3665-3677. doi: 10.1016/j.apsb.2021.05.013. Epub 2021 May 20.

引用本文的文献

1
A Spatial Metabolomics Annotation Workflow Leveraging Cyclic Ion Mobility and Machine Learning-Predicted Collision Cross Sections.一种利用循环离子淌度和机器学习预测碰撞截面的空间代谢组学注释工作流程。
J Am Soc Mass Spectrom. 2025 Jun 4;36(6):1386-1394. doi: 10.1021/jasms.5c00090. Epub 2025 May 21.
2
Combined Association of Plasma Metabolites with Body Mass Index and Physical Activity Level.血浆代谢物与体重指数和身体活动水平的联合关联
Biology (Basel). 2024 Dec 20;13(12):1074. doi: 10.3390/biology13121074.
3
The vaginal metabolomics profile with features of polycystic ovary syndrome: a pilot investigation in China.

本文引用的文献

1
A Novel Two-Lipid Signature Is a Strong and Independent Prognostic Factor in Ovarian Cancer.一种新型双脂质特征是卵巢癌的强大独立预后因素。
Cancers (Basel). 2021 Apr 7;13(8):1764. doi: 10.3390/cancers13081764.
2
The functional roles of TCA cycle metabolites in cancer.三羧酸循环代谢物在癌症中的功能作用。
Oncogene. 2021 May;40(19):3351-3363. doi: 10.1038/s41388-020-01639-8. Epub 2021 Apr 16.
3
Metabolism pathways of arachidonic acids: mechanisms and potential therapeutic targets.花生四烯酸的代谢途径:机制与潜在治疗靶点。
中国多囊卵巢综合征特征的阴道代谢组学特征:一项初步研究。
PeerJ. 2024 Oct 8;12:e18194. doi: 10.7717/peerj.18194. eCollection 2024.
4
Plasma Metabolome Signatures to Predict Responsiveness to Neoadjuvant Chemotherapy in Breast Cancer.预测乳腺癌新辅助化疗反应性的血浆代谢组学特征
Cancers (Basel). 2024 Jul 6;16(13):2473. doi: 10.3390/cancers16132473.
5
Spatial lipidomics maps brain alterations associated with mild traumatic brain injury.空间脂质组学描绘了与轻度创伤性脑损伤相关的大脑变化。
Front Chem. 2024 May 30;12:1394064. doi: 10.3389/fchem.2024.1394064. eCollection 2024.
6
Serum Lipidome Profiling Reveals a Distinct Signature of Ovarian Cancer in Korean Women.血清脂质组学分析揭示韩国女性卵巢癌的独特特征。
Cancer Epidemiol Biomarkers Prev. 2024 May 1;33(5):681-693. doi: 10.1158/1055-9965.EPI-23-1293.
7
Ultrahigh resolution lipid mass spectrometry imaging of high-grade serous ovarian cancer mouse models.高级别浆液性卵巢癌小鼠模型的超高分辨率脂质质谱成像
Front Chem. 2024 Jan 8;11:1332816. doi: 10.3389/fchem.2023.1332816. eCollection 2023.
8
Ultrahigh Resolution Lipid Mass Spectrometry Imaging of High-Grade Serous Ovarian Cancer Mouse Models.高级别浆液性卵巢癌小鼠模型的超高分辨率脂质质谱成像
bioRxiv. 2023 Nov 2:2023.10.30.564760. doi: 10.1101/2023.10.30.564760.
9
Unveiling Insights into Ovarian Cancer Metabolism through Space- and Time-Resolved Analysis.通过空间和时间分辨分析揭示卵巢癌代谢的见解
Cancers (Basel). 2023 Oct 8;15(19):4881. doi: 10.3390/cancers15194881.
10
Machine Learning Reveals Lipidome Remodeling Dynamics in a Mouse Model of Ovarian Cancer.机器学习揭示了卵巢癌小鼠模型中的脂质组重塑动态。
J Proteome Res. 2023 Jun 2;22(6):2092-2108. doi: 10.1021/acs.jproteome.3c00226. Epub 2023 May 23.
Signal Transduct Target Ther. 2021 Feb 26;6(1):94. doi: 10.1038/s41392-020-00443-w.
4
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.
5
The diversity and breadth of cancer cell fatty acid metabolism.癌细胞脂肪酸代谢的多样性和广度。
Cancer Metab. 2021 Jan 7;9(1):2. doi: 10.1186/s40170-020-00237-2.
6
Targeting progesterone signaling prevents metastatic ovarian cancer.靶向孕激素信号通路可预防转移性卵巢癌。
Proc Natl Acad Sci U S A. 2020 Dec 15;117(50):31993-32004. doi: 10.1073/pnas.2013595117. Epub 2020 Dec 1.
7
Conserved Functions of Ether Lipids and Sphingolipids in the Early Secretory Pathway.醚脂类和鞘脂类在早期分泌途径中的保守功能。
Curr Biol. 2020 Oct 5;30(19):3775-3787.e7. doi: 10.1016/j.cub.2020.07.059. Epub 2020 Aug 27.
8
Peroxisome Metabolism in Cancer.肿瘤中的过氧化物酶体代谢。
Cells. 2020 Jul 14;9(7):1692. doi: 10.3390/cells9071692.
9
Modelling Epithelial Ovarian Cancer in Mice: Classical and Emerging Approaches.在小鼠中模拟卵巢上皮癌:经典与新兴方法。
Int J Mol Sci. 2020 Jul 7;21(13):4806. doi: 10.3390/ijms21134806.
10
In vivo modeling of metastatic human high-grade serous ovarian cancer in mice.在体建模转移性人高级别浆液性卵巢癌的小鼠。
PLoS Genet. 2020 Jun 4;16(6):e1008808. doi: 10.1371/journal.pgen.1008808. eCollection 2020 Jun.