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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

Mechanism-based biomarker discovery.

Asier Antoranz¹, Theodore Sakellaropoulos², Julio Saez-Rodriguez³

¹National Technical University of Athens, Athens, Greece; ProtATonce Ltd, Athens, Greece.

Drug Discovery Today

|May 2, 2017

Summary

This summary is machine-generated.

Biomarker discovery faces challenges in clinical translation due to experimental limits and the complexity of diseases. Mechanism-based approaches offer a path to identify disease signatures for improved diagnostics.

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Published on: December 1, 2020

Area of Science:

Biomedical research
Translational medicine
Biomarker discovery

Background:

Biomarkers are crucial for disease diagnosis and patient stratification in healthcare.
Clinical translation of identified biomarkers is inefficient, with fewer than two approvals annually.
Current methods like mass spectrometry and immunoassays have limitations in throughput and multiplexability.

Purpose of the Study:

To address the inefficiencies in the biomarker discovery pipeline.
To overcome the limitations of current experimental approaches.
To propose mechanism-based biomarker discovery for complex diseases.

Main Methods:

Evaluating limitations of mass spectrometry and immunoassay techniques.
Highlighting the inadequacy of single-biomarker-to-single-disease models for complex conditions.
Proposing mechanism-based biomarker discovery to identify disease signatures.

Main Results:

Identified significant experimental limitations hindering biomarker translation.
Demonstrated that single-biomarker approaches fail to capture disease complexity.
Proposed mechanism-based biomarker discovery as a superior strategy.

Conclusions:

Mechanism-based biomarker discovery can yield signatures reflecting disease origins.
This approach promises more precise diagnostic and predictive information for complex diseases.
Overcoming current limitations is essential for advancing biomarker utility in clinical practice.