Literature DB >> 21934103

Breast medical oncologists' use of standard prognostic factors to predict a 21-gene recurrence score.

Arif H Kamal1, Charles L Loprinzi, Carol Reynolds, Amylou C Dueck, Xochiquetzal J Geiger, James N Ingle, Robert W Carlson, Timothy J Hobday, Eric P Winer, Matthew P Goetz.   

Abstract

BACKGROUND: Half of all breast cancers are early stage, lymph node negative, and hormone receptor positive. A 21-gene (Oncotype DX®; Genomic Health, Inc., Redwood City, CA) recurrence score (RS) is prognostic for recurrence and predictive of chemotherapy benefit. We explored the ability of oncologists to predict the RS using standard prognostic criteria.
METHODS: Standard demographic and tumor prognostic criteria were obtained from patients with an available RS. Two academic pathologists provided tumor grade, histologic type, and hormone receptor status. Six academic oncologists predicted the RS category (low, intermediate, or high) and provided a recommendation for therapy. The oncologists were then given the actual RS and provided recommendations for therapy. Analysis for agreement was performed.
RESULTS: Thirty-one cases, including nine additional cases with variant pathology reads, were presented. There was substantial agreement in oncologists' ability to discriminate between true low or true intermediate and true high (κ = 0.75; p < .0001). Predictions between low and intermediate were not consistent. The most common discrepancies were predictions of a low RS risk when cases were true intermediate and predictions of an intermediate RS risk when cases were true low. The actual RS resulted in a change in the treatment recommendations in 19% of cases. Of the 186 scenarios and six oncologists in aggregate, five fewer chemotherapy recommendations resulted with the actual RS.
CONCLUSIONS: Oncologists are able to differentiate between a low or intermediate RS and a high RS using standard prognostic criteria. However, provision of the actual RS changed the treatment recommendations in nearly 20% of cases, suggesting that the RS may reduce chemotherapy use. This effect was observed in particular in intermediate-risk cases. Prospective clinical trials are necessary to determine whether decisions based on the RS change outcomes.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21934103      PMCID: PMC3228065          DOI: 10.1634/theoncologist.2011-0048

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


  18 in total

1.  "Good Old" clinical markers have similar power in breast cancer prognosis as microarray gene expression profilers.

Authors:  Patrik Edén; Cecilia Ritz; Carsten Rose; Mårten Fernö; Carsten Peterson
Journal:  Eur J Cancer       Date:  2004-08       Impact factor: 9.162

2.  A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer.

Authors:  Soonmyung Paik; Steven Shak; Gong Tang; Chungyeul Kim; Joffre Baker; Maureen Cronin; Frederick L Baehner; Michael G Walker; Drew Watson; Taesung Park; William Hiller; Edwin R Fisher; D Lawrence Wickerham; John Bryant; Norman Wolmark
Journal:  N Engl J Med       Date:  2004-12-10       Impact factor: 91.245

3.  Cancer statistics, 2010.

Authors:  Ahmedin Jemal; Rebecca Siegel; Jiaquan Xu; Elizabeth Ward
Journal:  CA Cancer J Clin       Date:  2010-07-07       Impact factor: 508.702

4.  Practice patterns and guideline adherence of medical oncologists in managing patients with early breast cancer.

Authors:  Jill A Foster; Maziar Abdolrasulnia; Hamidreza Doroodchi; Joan McClure; Linda Casebeer
Journal:  J Natl Compr Canc Netw       Date:  2009-07       Impact factor: 11.908

5.  A gene-expression signature as a predictor of survival in breast cancer.

Authors:  Marc J van de Vijver; Yudong D He; Laura J van't Veer; Hongyue Dai; Augustinus A M Hart; Dorien W Voskuil; George J Schreiber; Johannes L Peterse; Chris Roberts; Matthew J Marton; Mark Parrish; Douwe Atsma; Anke Witteveen; Annuska Glas; Leonie Delahaye; Tony van der Velde; Harry Bartelink; Sjoerd Rodenhuis; Emiel T Rutgers; Stephen H Friend; René Bernards
Journal:  N Engl J Med       Date:  2002-12-19       Impact factor: 91.245

6.  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

7.  Polychemotherapy for early breast cancer: an overview of the randomised trials. Early Breast Cancer Trialists' Collaborative Group.

Authors: 
Journal:  Lancet       Date:  1998-09-19       Impact factor: 79.321

8.  Breast carcinoma diagnosis, treatment, and prognosis before and after the introduction of mass mammographic screening.

Authors:  Miranda F Ernst; Adri C Voogd; Jan Willem W Coebergh; Jan A Roukema
Journal:  Cancer       Date:  2004-04-01       Impact factor: 6.860

9.  Prediction of risk of distant recurrence using the 21-gene recurrence score in node-negative and node-positive postmenopausal patients with breast cancer treated with anastrozole or tamoxifen: a TransATAC study.

Authors:  Mitch Dowsett; Jack Cuzick; Christopher Wale; John Forbes; Elizabeth A Mallon; Janine Salter; Emma Quinn; Anita Dunbier; Michael Baum; Aman Buzdar; Anthony Howell; Roberto Bugarini; Frederick L Baehner; Steven Shak
Journal:  J Clin Oncol       Date:  2010-03-08       Impact factor: 44.544

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

View more
  9 in total

Review 1.  Promising new assays and technologies for the diagnosis and management of infectious diseases.

Authors:  S F Mitsuma; M K Mansour; J P Dekker; J Kim; M Z Rahman; A Tweed-Kent; P Schuetz
Journal:  Clin Infect Dis       Date:  2012-12-07       Impact factor: 9.079

2.  Estimating the OncotypeDX score: validation of an inexpensive estimation tool.

Authors:  Anne A Eaton; Catherine E Pesce; James O Murphy; Michelle M Stempel; Sujata M Patil; Edi Brogi; Clifford A Hudis; Mahmoud El-Tamer
Journal:  Breast Cancer Res Treat       Date:  2016-12-07       Impact factor: 4.872

3.  A Validated Model for Identifying Patients Unlikely to Benefit From the 21-Gene Recurrence Score Assay.

Authors:  Michele M Gage; Martin Rosman; W Charles Mylander; Erica Giblin; Hyun-Seok Kim; Leslie Cope; Christopher Umbricht; Antonio C Wolff; Lorraine Tafra
Journal:  Clin Breast Cancer       Date:  2015-04-23       Impact factor: 3.225

Review 4.  The value of multigene predictors of clinical outcome in breast cancer: an analysis of the evidence.

Authors:  Amalia M Issa; Vivek S Chaudhari; Gary E Marchant
Journal:  Expert Rev Mol Diagn       Date:  2014-12-05       Impact factor: 5.225

5.  Impact of the EndoPredict genomic assay on treatment decisions for oestrogen receptor-positive early breast cancer patients: benefits of physician selective testing.

Authors:  Phuong Dinh; J Dinny Graham; Elisabeth N Elder; Masrura Kabir; Tram B Doan; James French; Farid Meybodi; Rina Hui; Nicholas R Wilcken; Paul R Harnett; Jeremy Hsu; Kirsty E Stuart; Tim Wang; Verity Ahern; Meagan Brennan; Stephen B Fox; Rachel F Dear; Elgene Lim; Michelle White; G Bruce Mann; Nirmala Pathmanathan
Journal:  Breast Cancer Res Treat       Date:  2021-12-01       Impact factor: 4.872

6.  The clinical impact of 21-gene recurrence score on treatment decisions for patients with hormone receptor-positive early breast cancer in Korea.

Authors:  Moo Hyun Lee; Wonshik Han; Jeong Eon Lee; Ku Sang Kim; Heeseung Park; Jongjin Kim; Soo Youn Bae; Hyun Joo Shin; Jong Won Lee; Eun Sook Lee
Journal:  Cancer Res Treat       Date:  2014-09-11       Impact factor: 4.679

7.  The impact of the 21-gene Recurrence Score assay on clinical decision-making in node-positive (up to 3 positive nodes) estrogen receptor-positive breast cancer patients.

Authors:  Salomon M Stemmer; Shmuel H Klang; Noa Ben-Baruch; David B Geffen; Mariana Steiner; Lior Soussan-Gutman; Shahar Merling; Christer Svedman; Shulamith Rizel; Nicky Lieberman
Journal:  Breast Cancer Res Treat       Date:  2013-06-26       Impact factor: 4.872

8.  Treatment decisions in estrogen receptor-positive early breast cancer patients with intermediate oncotype DX recurrence score results.

Authors:  Georgeta Fried; Mor Moskovitz
Journal:  Springerplus       Date:  2014-02-06

9.  Comparison of EndoPredict and Oncotype DX test results in hormone receptor positive invasive breast cancer.

Authors:  Zsuzsanna Varga; Peter Sinn; Florian Fritzsche; Arthur von Hochstetter; Aurelia Noske; Peter Schraml; Christoph Tausch; Andreas Trojan; Holger Moch
Journal:  PLoS One       Date:  2013-03-07       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.