Models for measuring metabolic chemical changes in the metastasis of high grade serous ovarian cancer: fallopian tube, ovary, and omentum.
Models for measuring metabolic chemical changes in the metastasis of high grade serous ovarian cancer: fallopian tube, ovary, and omentum.
复制标题
测量高级浆液卵巢癌转移代谢化学变化的模型：输卵管，卵巢和omentum。
DOI：
10.1039/d1mo00074h
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发表时间：
2021-12-06
期刊：
影响因子：
2.9
通讯作者：
Sanchez LM
中科院分区：
文献类型：
--
作者：
Lusk H;Burdette JE;Sanchez LM
卵巢癌（OC）是最致命的妇科恶性肿瘤，高级别浆液性卵巢癌（HGSOC）是最常见和致命的亚型，占OC死亡的70-80%。HGSOC具有独特的转移模式，因为许多人认为它起源于输卵管，然后首先转移到卵巢，然后转移到富含脂肪的网膜。代谢组学已被大量用于研究HGSOC肿瘤和转移中的代谢物变化。通常，代谢组学研究传统上应用于患者或动物模型的生物标本，最近的一些研究将代谢组学与创新的细胞培养技术相结合，以模拟HGSOC转移微环境，用于细胞间通讯的研究。这篇综述的目的是作为一个工具，研究人员旨在模拟HGSOC的代谢组学分析的转移。它将提供对HGSOC的起源和转移模式的当前知识的全面概述，并讨论不同模型系统的优点和局限性，以帮助研究人员选择最佳模型用于他们的研究目标，特别强调与不同代谢组学模式的兼容性。它还将研究目前已知的小分子在HGSOC的起源和转移中的作用。
Ovarian cancer (OC) is the most lethal gynecologic malignancy and high grade serous ovarian cancer (HGSOC) is the most common and deadly subtype, accounting for 70–80% of OC deaths. HGSOC has a distinct pattern of metastasis as many believe it originates in the fallopian tube and then it metastasizes first to the ovary, and later to the adipose-rich omentum. Metabolomics has been heavily utilized to investigate metabolite changes in HGSOC tumors and metastasis. Generally, metabolomics studies have traditionally been applied to biospecimens from patients or animal models, a number of recent studies have combined metabolomics with innovative cell-culture techniques to model the HGSOC metastatic microenvironment for the investigation of cell-to-cell communication. The purpose of this review is to serve as a tool for researchers aiming to model the metastasis of HGSOC for metabolomics analyses. It will provide a comprehensive overview of current knowledge on the origin and pattern of metastasis of HGSOC and discuss the advantages and limitations of different model systems to help investigators choose the best model for their research goals, with a special emphasis on compatibility with different metabolomics modalities. It will also examine what is presently known about the role of small molecules in the origin and metastasis of HGSOC.
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影响因子：
4.7
作者：
Dean, Matthew;Jin, Vivian;Burdette, Joanna E.
通讯作者：
Burdette, Joanna E.
DOI：
10.1038/nrc4019
发表时间：
2015-11
期刊：
Nature reviews. Cancer
影响因子：
--
作者：
Bowtell DD;Böhm S;Ahmed AA;Aspuria PJ;Bast RC Jr;Beral V;Berek JS;Birrer MJ;Blagden S;Bookman MA;Brenton JD;Chiappinelli KB;Martins FC;Coukos G;Drapkin R;Edmondson R;Fotopoulou C;Gabra H;Galon J;Gourley C;Heong V;Huntsman DG;Iwanicki M;Karlan BY;Kaye A;Lengyel E;Levine DA;Lu KH;McNeish IA;Menon U;Narod SA;Nelson BH;Nephew KP;Pharoah P;Powell DJ Jr;Ramos P;Romero IL;Scott CL;Sood AK;Stronach EA;Balkwill FR
通讯作者：
Balkwill FR
影响因子：
5.9
作者：
Chen, Rain R.;Yung, Mingo M. H.;Chan, David W.
通讯作者：
Chan, David W.
影响因子：
3.6
作者：
Baudhuin, LM;Cristina, KL;Xu, Y
通讯作者：
Xu, Y
影响因子：
4.8
作者：
Barbolina, Maria V.;Adley, Brian P.;Stack, M. Sharon
通讯作者：
Stack, M. Sharon