2010
DOI: 10.1038/nrc2831
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Integrating high-throughput technologies in the quest for effective biomarkers for ovarian cancer

Abstract: Despite widespread interest, few serum biomarkers have been introduced to the clinic over the past 20 years. Each approach to ovarian cancer biomarker discovery has its own advantages and disadvantages and it seems likely that a global biomarker discovery platform that mines all possible sources for biomarkers might be more useful. Such data could be combined with information from relevant microarray data, bioinformatic analyses and literature searches. This proposed integrated systems biology approach has the… Show more

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Cited by 136 publications
(116 citation statements)
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“…The fact that our SRM assays failed to quantify 12 of the 40 proteins we targeted might be related to the detection limit we set for low-abundance proteins in our unfractionated, complex samples (54,55), because it was higher than that used for fractionated peptide digests in our previous study (34). It is also possible that the endogenous proteotypic peptides we selected to represent these proteins had suboptimal MS signal responses.…”
Section: Figmentioning
confidence: 76%
“…The fact that our SRM assays failed to quantify 12 of the 40 proteins we targeted might be related to the detection limit we set for low-abundance proteins in our unfractionated, complex samples (54,55), because it was higher than that used for fractionated peptide digests in our previous study (34). It is also possible that the endogenous proteotypic peptides we selected to represent these proteins had suboptimal MS signal responses.…”
Section: Figmentioning
confidence: 76%
“…The integration of pancreatic specific proteomic data and bioinformatic data mining is a reasonable way to derive highly promising biomarker candidates from thousands of proteins. In our previous publications, we used similar filtering criteria and successfully verified/validated some candidates (17,18). The serological validation of all 16 short-listed candidates (Table II) depends on ELISA assay availability; we have verified our top four candidates: (1) desmoplakin (DSP), (2) laminin, gamma C2 (LAMC2), (3) Golgi membrane protein-1 (GP73), and (4) desmoglein-2 (DSG2).…”
Section: Discussionmentioning
confidence: 99%
“…More recently, we opened up new areas based on our core competencies in quantitative analytical chemistry. We apply mass spectrometry-based proteomic approaches for novel biomarker identification (6,7 ). These programs are flourishing with both industrial as well as other funding, because they are attempting to address a very clearly defined clinical need.…”
Section: Eleftherios P Diamandismentioning
confidence: 99%