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Related Experiment Video

Updated: May 8, 2026

Preparation of Peripheral Blood Mononuclear Cell Pellets and Plasma from a Single Blood Draw at Clinical Trial Sites for Biomarker Analysis

Preparation of Peripheral Blood Mononuclear Cell Pellets and Plasma from a Single Blood Draw at Clinical Trial Sites for Biomarker Analysis

Published on: March 20, 2021

Has discovery-based cancer research been a bust?

¹Department of Oncology, Clinical Cancer Informatics & Research Centre, The Kinghorn Cancer Centre, Sydney, Australia, repstein@stvincents.com.au.

Clinical & Translational Oncology : Official Publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico

|September 5, 2013

Summary

High expectations for first-generation cancer diagnostics led to slow clinical progress. Second-generation diagnostics must focus on high-signal data, not just statistical patterns, for better anticancer drug development.

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Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms

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Published on: December 9, 2015

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Last Updated: May 8, 2026

Preparation of Peripheral Blood Mononuclear Cell Pellets and Plasma from a Single Blood Draw at Clinical Trial Sites for Biomarker Analysis

Preparation of Peripheral Blood Mononuclear Cell Pellets and Plasma from a Single Blood Draw at Clinical Trial Sites for Biomarker Analysis

Published on: March 20, 2021

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms

Published on: December 9, 2015

Area of Science:

Oncology
Genomics
Biomarker Discovery

Background:

The human genome sequence completion raised hopes for novel anticancer drug development.
Clinical progress in oncology has been slower than anticipated over the past decade.

Purpose of the Study:

To analyze the impact of first-generation discovery-based diagnostics on anticancer drug development.
To propose a framework for more effective second-generation multiplex diagnostics.

Main Methods:

Review of clinical progress and diagnostic assay performance in oncology.
Analysis of limitations in first-generation multiplex assays (gene expression profiling, proteomics).
Identification of key features for second-generation multiplex diagnostics.

Main Results:

First-generation multiplex assays have yielded limited high-impact therapeutic targets despite prognostic correlations.
Hypothesis-based single-molecule tests show incremental clinical utility.
Statistical patterns alone are insufficient for high-impact diagnostic development.

Conclusions:

Unrealistically high expectations for first-generation diagnostics have hindered progress.
Second-generation multiplex diagnostics require clinically interpretable, high-signal data.
Focusing on functional mutations, amplifications, and signaling pathways will advance anticancer drug development.