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Mining the ovarian cancer ascites proteome for potential ovarian cancer biomarkers.


ABSTRACT: Current ovarian cancer biomarkers are inadequate because of their relatively low diagnostic sensitivity and specificity. There is a need to discover and validate novel ovarian cancer biomarkers that are suitable for early diagnosis, monitoring, and prediction of therapeutic response. We performed an in-depth proteomics analysis of ovarian cancer ascites fluid. Size exclusion chromatography and ultrafiltration were used to remove high abundance proteins with molecular mass >/=30 kDa. After trypsin digestion, the subproteome (

SUBMITTER: Kuk C 

PROVIDER: S-EPMC2667349 | biostudies-literature | 2009 Apr

REPOSITORIES: biostudies-literature

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Mining the ovarian cancer ascites proteome for potential ovarian cancer biomarkers.

Kuk Cynthia C   Kulasingam Vathany V   Gunawardana C Geeth CG   Smith Chris R CR   Batruch Ihor I   Diamandis Eleftherios P EP  

Molecular & cellular proteomics : MCP 20081201 4


Current ovarian cancer biomarkers are inadequate because of their relatively low diagnostic sensitivity and specificity. There is a need to discover and validate novel ovarian cancer biomarkers that are suitable for early diagnosis, monitoring, and prediction of therapeutic response. We performed an in-depth proteomics analysis of ovarian cancer ascites fluid. Size exclusion chromatography and ultrafiltration were used to remove high abundance proteins with molecular mass >/=30 kDa. After trypsi  ...[more]

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