Literature DB >> 34338690

Models for measuring metabolic chemical changes in the metastasis of high grade serous ovarian cancer: fallopian tube, ovary, and omentum.

Hannah Lusk1, Joanna E Burdette2, Laura M Sanchez1.   

Abstract

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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Year:  2021        PMID: 34338690      PMCID: PMC8649074          DOI: 10.1039/d1mo00074h

Source DB:  PubMed          Journal:  Mol Omics        ISSN: 2515-4184


  124 in total

Review 1.  It's Totally Tubular....Riding The New Wave of Ovarian Cancer Research.

Authors:  Ruth Perets; Ronny Drapkin
Journal:  Cancer Res       Date:  2015-12-15       Impact factor: 12.701

2.  Augmented expression of metallothionein and glutathione S-transferase pi as unfavourable prognostic factors in cisplatin-treated ovarian cancer patients.

Authors:  Paweł Surowiak; Verena Materna; Irina Kaplenko; Marek Spaczyński; Manfred Dietel; Hermann Lage; Maciej Zabel
Journal:  Virchows Arch       Date:  2005-06-21       Impact factor: 4.064

Review 3.  Recent advances in three-dimensional multicellular spheroid culture for biomedical research.

Authors:  Ruei-Zeng Lin; Ruei-Zhen Lin; Hwan-You Chang
Journal:  Biotechnol J       Date:  2008-10       Impact factor: 4.677

4.  Epithelial cells from human fallopian tube in culture.

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Journal:  Hum Reprod       Date:  1990-01       Impact factor: 6.918

5.  Identification of potential biomarkers for ovarian cancer by urinary metabolomic profiling.

Authors:  Tao Zhang; Xiaoyan Wu; Chaofu Ke; Mingzhu Yin; Zhenzi Li; Lijun Fan; Wang Zhang; Haiyu Zhang; Falin Zhao; Xiaohua Zhou; Ge Lou; Kang Li
Journal:  J Proteome Res       Date:  2012-12-03       Impact factor: 4.466

6.  New models of hematogenous ovarian cancer metastasis demonstrate preferential spread to the ovary and a requirement for the ovary for abdominal dissemination.

Authors:  Lan G Coffman; Daniela Burgos-Ojeda; Rong Wu; Kathleen Cho; Shoumei Bai; Ronald J Buckanovich
Journal:  Transl Res       Date:  2016-03-30       Impact factor: 7.012

Review 7.  Unraveling the obesity and breast cancer links: a role for cancer-associated adipocytes?

Authors:  Bé Atrice Dirat; Ludivine Bochet; Ghislaine Escourrou; Philippe Valet; Catherine Muller
Journal:  Endocr Dev       Date:  2010-06-15

8.  High-resolution proton nuclear magnetic resonance spectroscopy of ovarian cyst fluid.

Authors:  E A Boss; S H Moolenaar; L F Massuger; H Boonstra; U F Engelke; J G de Jong; R A Wevers
Journal:  NMR Biomed       Date:  2000-08       Impact factor: 4.044

Review 9.  Ovarian tumorigenesis: a proposed model based on morphological and molecular genetic analysis.

Authors:  Ie-Ming Shih; Robert J Kurman
Journal:  Am J Pathol       Date:  2004-05       Impact factor: 4.307

10.  Ovarian cancer and hormone replacement therapy in the Million Women Study.

Authors:  Valerie Beral; Diana Bull; Jane Green; Gillian Reeves
Journal:  Lancet       Date:  2007-05-19       Impact factor: 79.321

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  1 in total

1.  Home-Built Spinning Apparatus for Drying Agarose-Based Imaging Mass Spectrometry Samples.

Authors:  Hannah J Lusk; Sarah E Levy; Tova M Bergsten; Joanna E Burdette; Laura M Sanchez
Journal:  J Am Soc Mass Spectrom       Date:  2022-05-31       Impact factor: 3.262

  1 in total

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