Literature DB >> 12912935

Haptoglobin-alpha subunit as potential serum biomarker in ovarian cancer: identification and characterization using proteomic profiling and mass spectrometry.

Bin Ye1, Daniel W Cramer, Steven J Skates, Steven P Gygi, Vanessa Pratomo, Lanfei Fu, Nora K Horick, Larry J Licklider, John O Schorge, Ross S Berkowitz, Samuel C Mok.   

Abstract

PURPOSE: The objective of this study was to identify and characterize new serum biomarkers in ovarian cancer patients using mass spectrometric protein profiling and specific immunological assays. EXPERIMENTAL
DESIGN: Serum samples from 80 cancer patients and 91 healthy women were analyzed by surface enhanced laser desorption and ionization-mass spectrometry (MS) profiling. A candidate biomarker was purified by affinity chromatography, and its sequence was determined by liquid chromatography-tandem MS. An antibody was generated from the synthesized peptide for quantitative validation in the cases and controls. CA125 was determined and compared with the same set of specimens.
RESULTS: Using surface enhanced laser desorption and ionization, we found a serum biomarker at approximately 11700 Da, which had peak intensity significantly higher in cases (1.366) compared with controls (0.208, P = 0.002), and subsequently identified this as the alpha chain of haptoglobin. ELISA indicated that Hp-alpha was </=2-fold higher in cancer serum compared with normal, benign tumor, and other gynecological cancers (P < 0.05) and had 64% sensitivity at 90% specificity alone and 91% sensitivity and 95% specificity if combined with CA125.
CONCLUSIONS: Haptoglobin-derived alpha subunit is a potential marker for ovarian cancer that is complementary to CA125. MS-based protein profiling is a valuable tool for screening protein markers and useful to detect post-translational modification of tumor-associated proteins or abnormal metabolic products. However, confirmation of protein identity with specific antibodies is crucial for clinical application and functional studies.

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Year:  2003        PMID: 12912935

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  61 in total

1.  Identification of serum biomarkers for ovarian cancer using MALDI-TOF-MS combined with magnetic beads.

Authors:  Shengjun Wu; Kai Xu; Guang Chen; Jun Zhang; Zhiwei Liu; Xinyou Xie
Journal:  Int J Clin Oncol       Date:  2011-06-03       Impact factor: 3.402

2.  Measuring the intra-individual variability of the plasma proteome in the chicken model of spontaneous ovarian adenocarcinoma.

Authors:  Adam M Hawkridge; Rebecca B Wysocky; James N Petitte; Kenneth E Anderson; Paul E Mozdziak; Oscar J Fletcher; Jonathan M Horowitz; David C Muddiman
Journal:  Anal Bioanal Chem       Date:  2010-07-17       Impact factor: 4.142

Review 3.  Teaching molecular genetics: Chapter 3--Proteomics in nephrology.

Authors:  Patricia J T A Groenen; Lambert P W J van den Heuvel
Journal:  Pediatr Nephrol       Date:  2006-03-30       Impact factor: 3.714

Review 4.  Proteomic technology for biomarker profiling in cancer: an update.

Authors:  Moulay A Alaoui-Jamali; Ying-jie Xu
Journal:  J Zhejiang Univ Sci B       Date:  2006-06       Impact factor: 3.066

Review 5.  Contemporary progress in ovarian cancer screening.

Authors:  Christine S Walsh; B Y Karlan
Journal:  Curr Oncol Rep       Date:  2007-11       Impact factor: 5.075

Review 6.  Proteomics in cancer screening and management in gynecologic cancer.

Authors:  Wei Hu; Weiguo Wu; Ryuji Kobayashi; John J Kavanagh
Journal:  Curr Oncol Rep       Date:  2004-11       Impact factor: 5.075

Review 7.  Moving forward in colorectal cancer research, what proteomics has to tell.

Authors:  Nerea Bitarte; Eva Bandrés; Ruth Zárate; Natalia Ramirez; Jesus Garcia-Foncillas
Journal:  World J Gastroenterol       Date:  2007-11-28       Impact factor: 5.742

Review 8.  Current status and prospects of clinical proteomics studies on detection of colorectal cancer: hopes and fears.

Authors:  M E de Noo; R A E M Tollenaar; A M Deelder; L H Bouwman
Journal:  World J Gastroenterol       Date:  2006-11-07       Impact factor: 5.742

9.  An integrated approach utilizing proteomics and bioinformatics to detect ovarian cancer.

Authors:  Jie-kai Yu; Shu Zheng; Yong Tang; Li Li
Journal:  J Zhejiang Univ Sci B       Date:  2005-04       Impact factor: 3.066

Review 10.  Proteomic contributions to personalized cancer care.

Authors:  John M Koomen; Eric B Haura; Gerold Bepler; Rebecca Sutphen; Elizabeth R Remily-Wood; Kaaron Benson; Mohamad Hussein; Lori A Hazlehurst; Timothy J Yeatman; Lynne T Hildreth; Thomas A Sellers; Paul B Jacobsen; David A Fenstermacher; William S Dalton
Journal:  Mol Cell Proteomics       Date:  2008-07-29       Impact factor: 5.911

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