Use of a single-chain antibody library for ovarian cancer biomarker discovery

Mol Cell Proteomics. 2010 Jul;9(7):1449-60. doi: 10.1074/mcp.M900496-MCP200. Epub 2010 May 13.


The discovery of novel early detection biomarkers of disease could offer one of the best approaches to decrease the morbidity and mortality of ovarian and other cancers. We report on the use of a single-chain variable fragment antibody library for screening ovarian serum to find novel biomarkers for the detection of cancer. We alternately panned the library with ovarian cancer and disease-free control sera to make a sublibrary of antibodies that bind proteins differentially expressed in cancer. This sublibrary was printed on antibody microarrays that were incubated with labeled serum from multiple sets of cancer patients and controls. The antibodies that performed best at discriminating disease status were selected, and their cognate antigens were identified using a functional protein microarray. Overexpression of some of these antigens was observed in cancer serum, tumor proximal fluid, and cancer tissue via dot blot and immunohistochemical staining. Thus, our use of recombinant antibody microarrays for unbiased discovery found targets for ovarian cancer detection in multiple sample sets, supporting their further study for disease diagnosis.

Publication types

  • Evaluation Study
  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Antigens, Neoplasm* / blood
  • Antigens, Neoplasm* / immunology
  • Biomarkers, Tumor / metabolism*
  • Female
  • Gene Library*
  • Humans
  • Middle Aged
  • Ovarian Neoplasms* / diagnosis
  • Ovarian Neoplasms* / metabolism
  • Protein Array Analysis / methods*
  • Risk Factors
  • Single-Chain Antibodies* / immunology
  • Young Adult


  • Antigens, Neoplasm
  • Biomarkers, Tumor
  • Single-Chain Antibodies