Bioinformatic identification of proteins with tissue-specific expression for biomarker discovery

BMC Med. 2012 Apr 19;10:39. doi: 10.1186/1741-7015-10-39.

Abstract

Background: There is an important need for the identification of novel serological biomarkers for the early detection of cancer. Current biomarkers suffer from a lack of tissue specificity, rendering them vulnerable to non-disease-specific increases. The present study details a strategy to rapidly identify tissue-specific proteins using bioinformatics.

Methods: Previous studies have focused on either gene or protein expression databases for the identification of candidates. We developed a strategy that mines six publicly available gene and protein databases for tissue-specific proteins, selects proteins likely to enter the circulation, and integrates proteomic datasets enriched for the cancer secretome to prioritize candidates for further verification and validation studies.

Results: Using colon, lung, pancreatic and prostate cancer as case examples, we identified 48 candidate tissue-specific biomarkers, of which 14 have been previously studied as biomarkers of cancer or benign disease. Twenty-six candidate biomarkers for these four cancer types are proposed.

Conclusions: We present a novel strategy using bioinformatics to identify tissue-specific proteins that are potential cancer serum biomarkers. Investigation of the 26 candidates in disease states of the organs is warranted.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers / blood*
  • Computational Biology / methods*
  • Databases, Genetic
  • Gene Expression Profiling*
  • Humans
  • Neoplasms / diagnosis*
  • Protein Biosynthesis*
  • Proteome / analysis*

Substances

  • Biomarkers
  • Proteome