Literature DB >> 20421266

Review of the clinical studies using the 21-gene assay.

Catherine M Kelly1, Ellen Warner, Daphne T Tsoi, Sunil Verma, Kathleen I Pritchard.   

Abstract

PURPOSE: A major challenge in treating early-stage hormone receptor (HR)(+) breast cancer is selecting women who, after initial surgery, do not require chemotherapy. Better prognostic and predictive tests are needed. The 21-gene assay is the only widely commercially available gene signature that can be performed on formalin-fixed paraffin-embedded tissue.
METHODS: We conducted a review of the literature supporting the prognostic and predictive ability of the 21-gene assay in HR(+) node-negative and node-positive breast cancer patients in chemotherapy-/endocrine-treated and untreated populations. We considered: (a) How accurate is the recurrence score (RS) as a prognostic factor for distant recurrence? (b) How accurate is the RS as a predictive factor for benefit from systemic therapy? (c) How does the RS compare with other prognostic/predictive factors such as tumor size, tumor grade, patient age, and integrated decision aids such as Adjuvant! Online? (d) How do patients and physicians view the 21-gene assay? (e) What are the cost implications of the 21-gene assay?
RESULTS: The 21-gene assay: (a) provided accurate risk information; (b) predicted response to cyclophosphamide, methotrexate, and 5-fluorouracil and to cyclophosphamide, doxorubicin, and 5-fluorouracil chemotherapy; (c) added additional information to traditional biomarkers; (d) was viewed positively by both physicians and patients; and (e) fell within the cost-effectiveness values in North America.
CONCLUSION: This assay may be offered to patients with node-negative HR(+) breast cancer to assist in adjuvant treatment decisions. Data are accumulating to support the use of the 21-gene assay in HR(+) node-positive patients.

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Mesh:

Year:  2010        PMID: 20421266      PMCID: PMC3227976          DOI: 10.1634/theoncologist.2009-0277

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  30 in total

1.  Economic analysis of targeting chemotherapy using a 21-gene RT-PCR assay in lymph-node-negative, estrogen-receptor-positive, early-stage breast cancer.

Authors:  John Hornberger; Leon E Cosler; Gary H Lyman
Journal:  Am J Manag Care       Date:  2005-05       Impact factor: 2.229

2.  Development and clinical utility of a 21-gene recurrence score prognostic assay in patients with early breast cancer treated with tamoxifen.

Authors:  Soonmyung Paik
Journal:  Oncologist       Date:  2007-06

3.  Economic evaluation of 21-gene reverse transcriptase-polymerase chain reaction assay in lymph-node-negative, estrogen-receptor-positive, early-stage breast cancer in Japan.

Authors:  Masahide Kondo; Shu Ling Hoshi; Hiroshi Ishiguro; Hiroshi Yoshibayashi; Masakazu Toi
Journal:  Breast Cancer Res Treat       Date:  2007-12-13       Impact factor: 4.872

4.  Systemic therapy in node-negative patients: updated findings from NSABP clinical trials. National Surgical Adjuvant Breast and Bowel Project.

Authors:  B Fisher; C Redmond
Journal:  J Natl Cancer Inst Monogr       Date:  1992

5.  Prospective multicenter study of the impact of the 21-gene recurrence score assay on medical oncologist and patient adjuvant breast cancer treatment selection.

Authors:  Shelly S Lo; Patricia B Mumby; John Norton; Karen Rychlik; Jeffrey Smerage; Joseph Kash; Helen K Chew; Ellen R Gaynor; Daniel F Hayes; Andrew Epstein; Kathy S Albain
Journal:  J Clin Oncol       Date:  2010-01-11       Impact factor: 44.544

Review 6.  Commercialized multigene predictors of clinical outcome for breast cancer.

Authors:  Jeffrey S Ross; Christos Hatzis; W Fraser Symmans; Lajos Pusztai; Gabriel N Hortobágyi
Journal:  Oncologist       Date:  2008-05

Review 7.  Gene expression predictors in breast cancer: current status, limitations and perspectives.

Authors:  C Desmedt; E Ruíz-García; F André
Journal:  Eur J Cancer       Date:  2008-11-01       Impact factor: 9.162

Review 8.  Development of the 21-gene assay and its application in clinical practice and clinical trials.

Authors:  Joseph A Sparano; Soonmyung Paik
Journal:  J Clin Oncol       Date:  2008-02-10       Impact factor: 44.544

9.  A population-based study of tumor gene expression and risk of breast cancer death among lymph node-negative patients.

Authors:  Laurel A Habel; Steven Shak; Marlena K Jacobs; Angela Capra; Claire Alexander; Mylan Pho; Joffre Baker; Michael Walker; Drew Watson; James Hackett; Noelle T Blick; Deborah Greenberg; Louis Fehrenbacher; Bryan Langholz; Charles P Quesenberry
Journal:  Breast Cancer Res       Date:  2006-05-31       Impact factor: 6.466

10.  Thresholds for therapies: highlights of the St Gallen International Expert Consensus on the primary therapy of early breast cancer 2009.

Authors:  A Goldhirsch; J N Ingle; R D Gelber; A S Coates; B Thürlimann; H-J Senn
Journal:  Ann Oncol       Date:  2009-06-17       Impact factor: 32.976

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1.  Post-operative nomogram for predicting freedom from recurrence after surgery in localised breast cancer receiving adjuvant hormone therapy.

Authors:  Chafika Mazouni; Frédéric Fina; Sylvie Romain; Pascal Bonnier; L'houcine Ouafik; Pierre-Marie Martin
Journal:  J Cancer Res Clin Oncol       Date:  2014-11-30       Impact factor: 4.553

2.  The value of comparative effectiveness research: projected return on investment of the RxPONDER trial (SWOG S1007).

Authors:  William B Wong; Scott D Ramsey; William E Barlow; Louis P Garrison; David L Veenstra
Journal:  Contemp Clin Trials       Date:  2012-08-18       Impact factor: 2.226

3.  Genetic signatures of heroin addiction.

Authors:  Shaw-Ji Chen; Ding-Lieh Liao; Tsu-Wang Shen; Hsin-Chou Yang; Kuang-Chi Chen; Chia-Hsiang Chen
Journal:  Medicine (Baltimore)       Date:  2016-08       Impact factor: 1.889

4.  Assessment of the prognostic role of a 94-single nucleotide polymorphisms risk score in early breast cancer in the SIGNAL/PHARE prospective cohort: no correlation with clinico-pathological characteristics and outcomes.

Authors:  Elsa Curtit; Xavier Pivot; Julie Henriques; Sophie Paget-Bailly; Pierre Fumoleau; Maria Rios; Hervé Bonnefoi; Thomas Bachelot; Patrick Soulié; Christelle Jouannaud; Hugues Bourgeois; Thierry Petit; Isabelle Tennevet; David Assouline; Marie-Christine Mathieu; Jean-Philippe Jacquin; Sandrine Lavau-Denes; Ariane Darut-Jouve; Jean-Marc Ferrero; Carole Tarpin; Christelle Lévy; Valérie Delecroix; Véronique Trillet-Lenoir; Oana Cojocarasu; Jérôme Meunier; Jean-Yves Pierga; Pierre Kerbrat; Céline Faure-Mercier; Hélène Blanché; Mourad Sahbatou; Anne Boland; Delphine Bacq; Céline Besse; Gilles Thomas; Jean-François Deleuze; Iris Pauporté; Gilles Romieu; David G Cox
Journal:  Breast Cancer Res       Date:  2017-08-22       Impact factor: 6.466

Review 5.  Personalizing health care: feasibility and future implications.

Authors:  Brian Godman; Alexander E Finlayson; Parneet K Cheema; Eva Zebedin-Brandl; Inaki Gutiérrez-Ibarluzea; Jan Jones; Rickard E Malmström; Elina Asola; Christoph Baumgärtel; Marion Bennie; Iain Bishop; Anna Bucsics; Stephen Campbell; Eduardo Diogene; Alessandra Ferrario; Jurij Fürst; Kristina Garuoliene; Miguel Gomes; Katharine Harris; Alan Haycox; Harald Herholz; Krystyna Hviding; Saira Jan; Marija Kalaba; Christina Kvalheim; Ott Laius; Sven-Ake Lööv; Kamila Malinowska; Andrew Martin; Laura McCullagh; Fredrik Nilsson; Ken Paterson; Ulrich Schwabe; Gisbert Selke; Catherine Sermet; Steven Simoens; Dominik Tomek; Vera Vlahovic-Palcevski; Luka Voncina; Magdalena Wladysiuk; Menno van Woerkom; Durhane Wong-Rieger; Corrine Zara; Raghib Ali; Lars L Gustafsson
Journal:  BMC Med       Date:  2013-08-13       Impact factor: 8.775

  5 in total

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