Discovery of serum biomarkers of ovarian cancer using complementary proteomic profiling strategies. Issue 11 (10th November 2014)
- Record Type:
- Journal Article
- Title:
- Discovery of serum biomarkers of ovarian cancer using complementary proteomic profiling strategies. Issue 11 (10th November 2014)
- Main Title:
- Discovery of serum biomarkers of ovarian cancer using complementary proteomic profiling strategies
- Authors:
- Timms, John F.
Arslan‐Low, Elif
Kabir, Musarat
Worthington, Jenny
Camuzeaux, Stephane
Sinclair, John
Szaub, Joanna
Afrough, Babak
Podust, Vladimir N.
Fourkala, Evangelia‐Ourania
Cubizolles, Myriam
Kronenberg, Florian
Fung, Eric T.
Gentry‐Maharaj, Aleksandra
Menon, Usha
Jacobs, Ian
Everett, Allen
Ignjatovic, Vera - Abstract:
- <abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="prca1584-sec-0010" sec-type="section"> <title>Purpose</title> <p>Ovarian cancer is a devastating disease and biomarkers for its early diagnosis are urgently required. Serum may be a valuable source of biomarkers that may be revealed by proteomic profiling. Herein, complementary serum protein profiling strategies were employed for discovery of biomarkers that could discriminate cases of malignant and benign ovarian cancer.</p> </sec> <sec id="prca1584-sec-0020" sec-type="section"> <title>Experimental design</title> <p>Identically collected and processed serum samples from 22 cases of invasive epithelial ovarian cancer, 45 benign ovarian neoplasms, and 64 healthy volunteers were subjected to immunodepletion and protein equalization coupled to 2D‐DIGE/MS and multidimensional fractionation coupled to SELDI‐TOF profiling with MS/MS for protein identification. Selected candidates were verified by ELISA in samples from malignant (<italic>n</italic> = 70) and benign (<italic>n</italic> = 89) cases and combined marker panels tested against serum CA125.</p> </sec> <sec id="prca1584-sec-0030" sec-type="section"> <title>Results</title> <p>Both profiling platforms were complementary in identifying biomarker candidates, four of which (A1AT, SLPI, APOA4, VDBP) significantly discriminated malignant from benign cases. However, no combination of markers was as good as CA125 for diagnostic accuracy.<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="prca1584-sec-0010" sec-type="section"> <title>Purpose</title> <p>Ovarian cancer is a devastating disease and biomarkers for its early diagnosis are urgently required. Serum may be a valuable source of biomarkers that may be revealed by proteomic profiling. Herein, complementary serum protein profiling strategies were employed for discovery of biomarkers that could discriminate cases of malignant and benign ovarian cancer.</p> </sec> <sec id="prca1584-sec-0020" sec-type="section"> <title>Experimental design</title> <p>Identically collected and processed serum samples from 22 cases of invasive epithelial ovarian cancer, 45 benign ovarian neoplasms, and 64 healthy volunteers were subjected to immunodepletion and protein equalization coupled to 2D‐DIGE/MS and multidimensional fractionation coupled to SELDI‐TOF profiling with MS/MS for protein identification. Selected candidates were verified by ELISA in samples from malignant (<italic>n</italic> = 70) and benign (<italic>n</italic> = 89) cases and combined marker panels tested against serum CA125.</p> </sec> <sec id="prca1584-sec-0030" sec-type="section"> <title>Results</title> <p>Both profiling platforms were complementary in identifying biomarker candidates, four of which (A1AT, SLPI, APOA4, VDBP) significantly discriminated malignant from benign cases. However, no combination of markers was as good as CA125 for diagnostic accuracy. SLPI was further tested as an early marker using prediagnosis serum samples. While it rose in cases toward diagnosis, it did not discriminate prediagnosis cases from controls.</p> </sec> <sec id="prca1584-sec-0040" sec-type="section"> <title>Conclusions and clinical relevance</title> <p>The candidate biomarkers warrant further validation in independent sample sets.</p> </sec> </abstract> … (more)
- Is Part Of:
- Proteomics. Volume 8:Issue 11/12(2014)
- Journal:
- Proteomics
- Issue:
- Volume 8:Issue 11/12(2014)
- Issue Display:
- Volume 8, Issue 11/12 (2014)
- Year:
- 2014
- Volume:
- 8
- Issue:
- 11/12
- Issue Sort Value:
- 2014-0008-NaN-0000
- Page Start:
- 982
- Page End:
- 993
- Publication Date:
- 2014-11-10
- Subjects:
- Proteomics -- Periodicals
572.605 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1862-8354 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/prca.201400063 ↗
- Languages:
- English
- ISSNs:
- 1862-8346
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6936.178500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4013.xml