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Published on: February 28, 2014
Cancer diagnostics: decision criteria for marker utilization in the clinic
Sheila E Taube1, James W Jacobson, Tracy G Lively
1Cancer Diagnosis Program, Division of Cancer Treatment & Diagnosis, National Cancer Institute, Rockville, Maryland 20952, USA. taubes@mail.nih.gov
Summary
The Program for the Assessment of Clinical Cancer Tests (PACCT) algorithm aids in adopting new cancer diagnostic tools. The OncotypeDX breast cancer recurrence assay demonstrates successful application of this algorithm.
Area of Science:
- Oncology
- Biotechnology
- Clinical Diagnostics
Background:
- New diagnostic tools require rigorous validation for clinical adoption.
- The Cancer Diagnosis Program (CDP) established the Program for the Assessment of Clinical Cancer Tests (PACCT) in 2000.
- PACCT aims to streamline the integration of new cancer technologies into clinical practice.
Purpose of the Study:
- To present an algorithm for evaluating and adopting new cancer diagnostic tests.
- To illustrate the successful application of the PACCT algorithm using the OncotypeDX assay.
- To discuss challenges in diagnostic tool development using examples like HER2 testing.
Main Methods:
- Development of a PACCT algorithm involving assay developers and end-users.
- Evaluation of the OncotypeDX assay, utilizing reverse transcription (RT)-PCR for 16 genes.
- Analysis of breast cancer recurrence risk in early-stage, hormone-responsive patients without lymph node involvement.
Main Results:
- The PACCT algorithm facilitates the efficient and effective integration of new diagnostic tools.
- The OncotypeDX assay is highly reproducible and provides valuable clinical decision-making information.
- A prospective trial is planned to assess OncotypeDX as a standalone treatment decision trigger.
Conclusions:
- The PACCT algorithm provides a robust framework for diagnostic test evaluation.
- The OncotypeDX assay exemplifies a successful translation of genomic research into clinical practice.
- Addressing common challenges is crucial for advancing cancer diagnostics and patient care.

