The use of surface-enhanced laser desorption/ionization time-of-flight mass spectrometry to detect putative breast cancer markers in saliva: a feasibility study
Background: Technologies are now available enabling saliva to be used to diagnose disease, predict disease progression, and monitor therapeutic efficacy. This pilot study describes the use of surface‐enhanced laser desorption/ionization time‐of‐flight mass spectrometry (SELDI) to detect putative br...
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Published in | Journal of oral pathology & medicine Vol. 35; no. 5; pp. 292 - 300 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Blackwell Publishing Ltd
01.05.2006
Blackwell |
Subjects | |
Online Access | Get full text |
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Summary: | Background: Technologies are now available enabling saliva to be used to diagnose disease, predict disease progression, and monitor therapeutic efficacy. This pilot study describes the use of surface‐enhanced laser desorption/ionization time‐of‐flight mass spectrometry (SELDI) to detect putative breast cancer markers in saliva.
Methods: Salivary specimens were analyzed as either pooled cancer saliva specimens, or individual specimens from healthy women and women diagnosed with carcinoma of the breast. The specimens were applied to a variety of protein chip arrays, washed extensively to remove unbound analytes and analyzed on a SELDI mass spectrometer.
Results: The results of this initial study suggest that the WCX protein chip array prepared and washed at pH 3.5 yielded the most promising results. Additionally, the analyses revealed a number of proteins that were higher in intensity among the cancer subjects when compared with controls. These salivary proteins were present at the 18, 113, 170, 228 and 287 km/z ranges using SELDI analyses.
Conclusions: The study suggests that saliva may be useful for high‐throughput biomarker discovery. |
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Bibliography: | ArticleID:JOP427 istex:38DE0F6E1177A8F14BBFFB5D77B5C238A182AE2C ark:/67375/WNG-XLV0Z448-5 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0904-2512 1600-0714 |
DOI: | 10.1111/j.1600-0714.2006.00427.x |