期刊
PROTEOMICS CLINICAL APPLICATIONS
卷 8, 期 11-12, 页码 982-993出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/prca.201400063
关键词
Diagnostic biomarkers; MS; Ovarian cancer; Serum profiling
资金
- Eve Appeal Gynaecological Cancer Research Trust
- Helen Feather Trust
- Cancer Research UK PRC Programme [A12677]
- Ciphergen Biosystems Inc.
- National Institute for Health Research (NIHR) University College London Hospitals Biomedical Research Centre
- MRC [G0801228] Funding Source: UKRI
- Cancer Research UK [12677] Funding Source: researchfish
- Medical Research Council [G0801228] Funding Source: researchfish
PurposeOvarian 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. Experimental designIdentically 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 (n = 70) and benign (n = 89) cases and combined marker panels tested against serum CA125. ResultsBoth 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. Conclusions and clinical relevanceThe candidate biomarkers warrant further validation in independent sample sets.
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