Literature DB >> 15313933

Three biomarkers identified from serum proteomic analysis for the detection of early stage ovarian cancer.

Zhen Zhang1, Robert C Bast, Yinhua Yu, Jinong Li, Lori J Sokoll, Alex J Rai, Jason M Rosenzweig, Bonnie Cameron, Young Y Wang, Xiao-Ying Meng, Andrew Berchuck, Carolien Van Haaften-Day, Neville F Hacker, Henk W A de Bruijn, Ate G J van der Zee, Ian J Jacobs, Eric T Fung, Daniel W Chan.   

Abstract

Early detection remains the most promising approach to improve long-term survival of patients with ovarian cancer. In a five-center case-control study, serum proteomic expressions were analyzed on 153 patients with invasive epithelial ovarian cancer, 42 with other ovarian cancers, 166 with benign pelvic masses, and 142 healthy women. Data from patients with early stage ovarian cancer and healthy women at two centers were analyzed independently and the results cross-validated to discover potential biomarkers. The results were validated using the samples from two of the remaining centers. After protein identification, biomarkers for which an immunoassay was available were tested on samples from the fifth center, which included 41 healthy women, 41 patients with ovarian cancer, and 20 each with breast, colon, and prostate cancers. Three biomarkers were identified as follows: (a) apolipoprotein A1 (down-regulated in cancer); (b) a truncated form of transthyretin (down-regulated); and (c) a cleavage fragment of inter-alpha-trypsin inhibitor heavy chain H4 (up-regulated). In independent validation to detect early stage invasive epithelial ovarian cancer from healthy controls, the sensitivity of a multivariate model combining the three biomarkers and CA125 [74% (95% CI, 52-90%)] was higher than that of CA125 alone [65% (95% CI, 43-84%)] at a matched specificity of 97% (95% CI, 89-100%). When compared at a fixed sensitivity of 83% (95% CI, 61-95%), the specificity of the model [94% (95% CI, 85-98%)] was significantly better than that of CA125 alone [52% (95% CI, 39-65%)]. These biomarkers demonstrated the potential to improve the detection of early stage ovarian cancer.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15313933     DOI: 10.1158/0008-5472.CAN-04-0746

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  238 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

Review 2.  Protein biomarkers of ovarian cancer: the forest and the trees.

Authors:  Brian M Nolen; Anna E Lokshin
Journal:  Future Oncol       Date:  2012-01       Impact factor: 3.404

Review 3.  Recent progress in quantitative glycoproteomics.

Authors:  Ying Zhang; Hongrui Yin; Haojie Lu
Journal:  Glycoconj J       Date:  2012-06-15       Impact factor: 2.916

4.  Statistical contributions to proteomic research.

Authors:  Jeffrey S Morris; Keith A Baggerly; Howard B Gutstein; Kevin R Coombes
Journal:  Methods Mol Biol       Date:  2010

Review 5.  Integrating high-throughput technologies in the quest for effective biomarkers for ovarian cancer.

Authors:  Vathany Kulasingam; Maria P Pavlou; Eleftherios P Diamandis
Journal:  Nat Rev Cancer       Date:  2010-04-12       Impact factor: 60.716

6.  An integrated proteomic approach to identifying circulating biomarkers in high-risk neuroblastoma and their potential in relapse monitoring.

Authors:  Rachel A Egler; Yiting Li; Tu Anh T Dang; Tricia L Peters; Eastwood Leung; Shixia Huang; Heidi V Russell; Hao Liu; Tsz-Kwong Man
Journal:  Proteomics Clin Appl       Date:  2011-09-07       Impact factor: 3.494

7.  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

8.  Proteomic analysis of serum yields six candidate proteins that are differentially regulated in a subset of women with endometriosis.

Authors:  Beata Seeber; Mary D Sammel; Xuejun Fan; George L Gerton; Alka Shaunik; Jesse Chittams; Kurt T Barnhart
Journal:  Fertil Steril       Date:  2009-02-20       Impact factor: 7.329

Review 9.  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

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.