Skip to main content

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

Publication ,  Journal Article
Zhang, Z; Bast, RC; Yu, Y; Li, J; Sokoll, LJ; Rai, AJ; Rosenzweig, JM; Cameron, B; Wang, YY; Meng, X-Y; Berchuck, A; Van Haaften-Day, C ...
Published in: Cancer Res
August 15, 2004

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.

Duke Scholars

Published In

Cancer Res

DOI

ISSN

0008-5472

Publication Date

August 15, 2004

Volume

64

Issue

16

Start / End Page

5882 / 5890

Location

United States

Related Subject Headings

  • Retrospective Studies
  • Proteomics
  • Protein Array Analysis
  • Predictive Value of Tests
  • Prealbumin
  • Ovarian Neoplasms
  • Oncology & Carcinogenesis
  • Neoplasm Staging
  • Molecular Sequence Data
  • Middle Aged
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Zhang, Z., Bast, R. C., Yu, Y., Li, J., Sokoll, L. J., Rai, A. J., … Chan, D. W. (2004). Three biomarkers identified from serum proteomic analysis for the detection of early stage ovarian cancer. Cancer Res, 64(16), 5882–5890. https://doi.org/10.1158/0008-5472.CAN-04-0746
Zhang, Zhen, Robert C. Bast, Yinhua Yu, Jinong Li, Lori J. Sokoll, Alex J. Rai, Jason M. Rosenzweig, et al. “Three biomarkers identified from serum proteomic analysis for the detection of early stage ovarian cancer.Cancer Res 64, no. 16 (August 15, 2004): 5882–90. https://doi.org/10.1158/0008-5472.CAN-04-0746.
Zhang Z, Bast RC, Yu Y, Li J, Sokoll LJ, Rai AJ, et al. Three biomarkers identified from serum proteomic analysis for the detection of early stage ovarian cancer. Cancer Res. 2004 Aug 15;64(16):5882–90.
Zhang, Zhen, et al. “Three biomarkers identified from serum proteomic analysis for the detection of early stage ovarian cancer.Cancer Res, vol. 64, no. 16, Aug. 2004, pp. 5882–90. Pubmed, doi:10.1158/0008-5472.CAN-04-0746.
Zhang Z, Bast RC, Yu Y, Li J, Sokoll LJ, Rai AJ, Rosenzweig JM, Cameron B, Wang YY, Meng X-Y, Berchuck A, Van Haaften-Day C, Hacker NF, de Bruijn HWA, van der Zee AGJ, Jacobs IJ, Fung ET, Chan DW. Three biomarkers identified from serum proteomic analysis for the detection of early stage ovarian cancer. Cancer Res. 2004 Aug 15;64(16):5882–5890.

Published In

Cancer Res

DOI

ISSN

0008-5472

Publication Date

August 15, 2004

Volume

64

Issue

16

Start / End Page

5882 / 5890

Location

United States

Related Subject Headings

  • Retrospective Studies
  • Proteomics
  • Protein Array Analysis
  • Predictive Value of Tests
  • Prealbumin
  • Ovarian Neoplasms
  • Oncology & Carcinogenesis
  • Neoplasm Staging
  • Molecular Sequence Data
  • Middle Aged