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Decreased concentrations of retinol-binding protein 4 in sera of epithelial ovarian cancer patients: a potential biomarker identified by proteomics
L. Lorkova, J. Pospisilova, J. Lacheta, S. Leahomschi, J. Zivny, D. Cibula, J. Zivny, J. Petrak,
Jazyk angličtina Země Řecko
Typ dokumentu časopisecké články, práce podpořená grantem
Grantová podpora
NS10300
MZ0
CEP - Centrální evidence projektů
NT12248
MZ0
CEP - Centrální evidence projektů
Digitální knihovna NLK
Plný text - Článek
Plný text - Článek
Zdroj
Zdroj
NLK
Free Medical Journals
od 2006 do Před 1 rokem
ProQuest Central
od 2012-01-01
Health & Medicine (ProQuest)
od 2012-01-01
PubMed
22020625
DOI
10.3892/or.2011.1513
Knihovny.cz E-zdroje
- MeSH
- 2D gelová elektroforéza metody MeSH
- dospělí MeSH
- hmotnostní spektrometrie metody MeSH
- lidé středního věku MeSH
- lidé MeSH
- nádorové biomarkery krev MeSH
- nádory glandulární a epitelové krev MeSH
- nádory vaječníků krev MeSH
- plazmatické proteiny vázající retinol metabolismus MeSH
- proteomika metody MeSH
- studie případů a kontrol MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Ovarian cancer is the fifth leading cause of cancer death in women. Absence of a reliable biomarker precludes early diagnosis of the disease. To identify new proteins with potential diagnostic or prognostic value for the therapy of ovarian cancer we performed comparative proteomic analysis of sera from ovarian cancer patients and healthy women. We analyzed serum samples from 10 patients diagnosed with epithelial ovarian cancer and 10 age-matched healthy women. To decrease the extremely wide dynamic range of protein concentrations in serum we used combinatorial hexapeptide libraries. Serum samples were then subjected to proteomic 2-DE analysis. Three proteins with differential abundance were found and identified by mass spectrometry: α-1-antitrypsin, apolipoprotein A-IV and retinol-binding protein 4. Identification of α-1-antitrypsin and apolipoprotein A-IV confirms previous studies but the identification of significantly decreased levels of RBP4 in ovarian cancer patients represents a novel observation. We verified the decrease of RBP4 levels in ovarian cancer patient sera by two independent methods and determined absolute RBP4 concentrations in patients and healthy women. We excluded possible non-cancer factors that could be responsible for the observed RBP4 decrease. We propose a connection of RBP4 with epithelial ovarian cancer and advocate the potential of RBP4 as a candidate diagnostic or prognostic biomarker.
Citace poskytuje Crossref.org
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- $a Ovarian cancer is the fifth leading cause of cancer death in women. Absence of a reliable biomarker precludes early diagnosis of the disease. To identify new proteins with potential diagnostic or prognostic value for the therapy of ovarian cancer we performed comparative proteomic analysis of sera from ovarian cancer patients and healthy women. We analyzed serum samples from 10 patients diagnosed with epithelial ovarian cancer and 10 age-matched healthy women. To decrease the extremely wide dynamic range of protein concentrations in serum we used combinatorial hexapeptide libraries. Serum samples were then subjected to proteomic 2-DE analysis. Three proteins with differential abundance were found and identified by mass spectrometry: α-1-antitrypsin, apolipoprotein A-IV and retinol-binding protein 4. Identification of α-1-antitrypsin and apolipoprotein A-IV confirms previous studies but the identification of significantly decreased levels of RBP4 in ovarian cancer patients represents a novel observation. We verified the decrease of RBP4 levels in ovarian cancer patient sera by two independent methods and determined absolute RBP4 concentrations in patients and healthy women. We excluded possible non-cancer factors that could be responsible for the observed RBP4 decrease. We propose a connection of RBP4 with epithelial ovarian cancer and advocate the potential of RBP4 as a candidate diagnostic or prognostic biomarker.
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