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Development of the 21-Gene Assay and Its Application in Clinical Practice and Clinical Trials

Sparano, Joseph A., Paik, Soonmyung·2008·Journal of Clinical Oncology

Abstract

Several multigene markers that predict relapse more accurately than classical clinicopathologic features have been developed. The 21-gene assay was developed specifically for patients with estrogen receptor (ER)–positive breast cancer, and has been shown to predict distant recurrence more accurately that classical clinicopathologic features in patients with ER-positive breast cancer and negative axillary nodes treated with adjuvant tamoxifen; validation studies in this population led to its approval as a diagnostic test. In a similar population, it also may be used to assess the benefit of adding chemotherapy to hormonal therapy. Other validation studies indicate that it also predicts the risk of distant and local recurrence in other populations with ER-positive disease, including node-negative patients receiving no adjuvant therapy and patients with positive axillary nodes treated with doxorubicin-containing chemotherapy. The Trial Assigning Individualized Options for Treatment (TAILORx) is multicenter trial that integrates the 21-gene assay into the clinical decision-making process and is designed to refine the utility of the assay in clinical practice and to provide a resource for evaluating additional molecular markers as they are developed in the future.

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Metadata

Authors
Sparano, J. A., & Paik, S.
Venue
Journal of Clinical Oncology
Published
2008-02-10
Volume
26
Issue
5
Pages
721-728
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W2118782378
Cited by
617
References
0
FWCI
16.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Development of the 21-Gene Assay and Its Application in Clinical Practice and Clinical Trials. https://app.cochat.ai/papers/10.1200/jco.2007.15.1068
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Sparano, J. A., & Paik, S. (2008). Development of the 21-Gene Assay and Its Application in Clinical Practice and Clinical Trials. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2007.15.1068

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.