Please use this identifier to cite or link to this item: https://doi.org/10.1155/2017/9653194
DC FieldValue
dc.titleEV-Associated MMP9 in High-Grade Serous Ovarian Cancer Is Preferentially Localized to Annexin V-Binding EVs
dc.contributor.authorReiner, A.T
dc.contributor.authorTan, S
dc.contributor.authorAgreiter, C
dc.contributor.authorAuer, K
dc.contributor.authorBachmayr-Heyda, A
dc.contributor.authorAust, S
dc.contributor.authorPecha, N
dc.contributor.authorMandorfer, M
dc.contributor.authorPils, D
dc.contributor.authorBrisson, A.R
dc.contributor.authorZeillinger, R
dc.contributor.authorLim, S.K
dc.date.accessioned2020-10-23T02:39:52Z
dc.date.available2020-10-23T02:39:52Z
dc.date.issued2017
dc.identifier.citationReiner, A.T, Tan, S, Agreiter, C, Auer, K, Bachmayr-Heyda, A, Aust, S, Pecha, N, Mandorfer, M, Pils, D, Brisson, A.R, Zeillinger, R, Lim, S.K (2017). EV-Associated MMP9 in High-Grade Serous Ovarian Cancer Is Preferentially Localized to Annexin V-Binding EVs. Disease Markers 2017 : 9653194. ScholarBank@NUS Repository. https://doi.org/10.1155/2017/9653194
dc.identifier.issn0278-0240
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/179263
dc.description.abstractHigh-grade serous ovarian cancer (HGSOC) is the most aggressive type of ovarian cancer and is responsible for most deaths caused by gynecological cancers. Numerous candidate biomarkers were identified for this disease in the last decades, but most were not sensitive or specific enough for clinical applications. Hence, new biomarkers for HGSOC are urgently required. This study aimed to identify new markers by isolating different extracellular vesicle (EV) types from the ascites of ovarian cancer patients according to their affinities for lipid-binding proteins and analyzing their protein cargo. This approach circumvents the low signal-To-noise ratio when using biological fluids for biomarker discovery and the issue of contamination by large non-EV complexes. We isolated and analyzed three distinct EV populations from the ascites of patients with ovarian cancer or cirrhosis and observed that Annexin V-binding EVs have higher levels of matrix metalloproteinase 9 in malignant compared to portal-hypertensive ascites. As this protein was not detected in other EV populations, this study validates our approach of using different EV types for optimal biomarker discovery. Furthermore, MMP9 in Annexin V-binding EVs could be a HGSOC biomarker with enhanced specificity, because its identification requires detection of two distinct components, that is, lipid and protein. © 2017 Agnes T. Reiner et al.
dc.publisherHindawi Limited
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectgelatinase A
dc.subjectgelatinase B
dc.subjectlipid binding protein
dc.subjectlipocortin 5
dc.subjectgelatinase B
dc.subjectlipocortin 5
dc.subjectMMP9 protein, human
dc.subjectprotein binding
dc.subjecttumor marker
dc.subjectadult
dc.subjectaged
dc.subjectArticle
dc.subjectascites
dc.subjectcancer grading
dc.subjectcancer localization
dc.subjectcancer patient
dc.subjectcancer tissue
dc.subjectclinical article
dc.subjectcontrolled study
dc.subjectcryoelectron microscopy
dc.subjectcytoreductive surgery
dc.subjectexosome
dc.subjectfemale
dc.subjecthigh grade serous ovarian cancer
dc.subjecthistology
dc.subjecthuman
dc.subjecthuman tissue
dc.subjectliver cirrhosis
dc.subjectmalignant ascites
dc.subjectovary cancer
dc.subjectportal hypertension
dc.subjectprotein binding
dc.subjectsignal noise ratio
dc.subjectzymography
dc.subjectascites
dc.subjectcarcinosarcoma
dc.subjectcase control study
dc.subjectexosome
dc.subjectmetabolism
dc.subjectmiddle aged
dc.subjectovary tumor
dc.subjectpathology
dc.subjectAged
dc.subjectAnnexin A5
dc.subjectAscites
dc.subjectBiomarkers, Tumor
dc.subjectCarcinosarcoma
dc.subjectCase-Control Studies
dc.subjectExtracellular Vesicles
dc.subjectFemale
dc.subjectHumans
dc.subjectMatrix Metalloproteinase 9
dc.subjectMiddle Aged
dc.subjectOvarian Neoplasms
dc.subjectProtein Binding
dc.typeArticle
dc.contributor.departmentSURGERY
dc.description.doi10.1155/2017/9653194
dc.description.sourcetitleDisease Markers
dc.description.volume2017
dc.description.page9653194
dc.published.statePublished
Appears in Collections:Elements
Staff Publications

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_1155_2017_9653194.pdf2.53 MBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons