Diagnostic Biomarkers: Are We Moving from Discovery to Clinical Application?

Clin Chem. 2018 Nov;64(11):1657-1667. doi: 10.1373/clinchem.2018.292854. Epub 2018 Sep 13.

Abstract

Background: Despite considerable research investment, moving from biomarker discovery to clinical application has presented unique challenges. We aimed to evaluate progress toward clinical application of a sample of molecular- and "omics"-based diagnostic tests over a 10-year period.

Methods: We used Scopus to locate studies, published before the December 31, 2016, citing 107 original-research articles published in 2006 that assessed the diagnostic value of a molecular- or "omics"-based test. We identified diagnostic studies of the same test and disease and determined whether the article represented progress in the validation of the molecular test. We classified the types of progress: (a) clinical validation (measuring diagnostic accuracy in a series of patients similar to the population in which the test will be used in practice), (b) technical improvement, (c) extended diagnostic application (modification of the diagnostic question attended initially by the test), (d) economic evaluation, or (e) clinical use or implementation.

Results: In the 10-year period analyzed, 4257 articles cited the 107 diagnostic studies; 118 (2.8%) were diagnostic studies of the same test, and of these papers, 25 (21.2%) did not constitute progress toward validation of the test for use in clinical practice (potential research waste). Of the 107 molecular- or "omics"-based tests described in 2006, only 28 (26.2%) appeared to have made progress toward clinical application. Only 4 (9.1%) of 44 proteomics-based tests had made progress toward clinical application.

Conclusions: Articles evaluating molecular- or "omics"-based diagnostic tests are numerous in biomedical journals. Few tests have made progress toward clinical application in the 10 years following their discovery.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers / analysis*
  • Databases, Factual
  • Genomics / methods
  • Genomics / trends*
  • Metabolomics / methods
  • Metabolomics / trends*
  • Molecular Diagnostic Techniques / methods
  • Molecular Diagnostic Techniques / trends*
  • Proteomics / methods
  • Proteomics / trends*

Substances

  • Biomarkers