Literature DB >> 20859407

Impact of a commercial reference laboratory test recurrence score on decision making in early-stage breast cancer.

Ruth Oratz1, Dev Paul, Allen L Cohn, Scot M Sedlacek.   

Abstract

PURPOSE: To investigate whether recurrence score (RS) as determined using a commercial reference laboratory test influences clinicians' treatment recommendations and eventual treatment in patients with early-stage breast cancer.
METHODS: A retrospective analysis was performed on 74 patients from a community-based oncology practice with estrogen receptor (ER) -positive, lymph node (LN) -negative stage I or II breast cancer for which RS was obtained. Demographic and pathology information was extracted from medical records. Ten-year relapse-free survival was calculated using Adjuvant! Online. Treatment recommendations before the RS knowledge were compared with treatment recommendations after RS knowledge and to the treatment eventually administered. RESULTS AND
CONCLUSION: A weak correlation was found between RS and both patient age and tumor size, modest correlation between RS and tumor grade, and modest correlation between RS and 10-year recurrence as determined by Adjuvant! Online. For 21% and 25% of patients, knowledge of the RS changed the clinicians' treatment recommendations and eventual treatment, respectively. The decision to change from hormone therapy to chemotherapy (with or without hormone therapy) was generally associated with high RS (high distant recurrence risk as determined by the commercial reference laboratory test), whereas the decision to change from chemotherapy to hormone therapy was generally associated with low RS (low distant recurrence risk as determined by the commercial reference laboratory test). Knowledge of the RS changed treatment recommendations and eventual treatment in patients with ER-positive/LN-negative early-stage breast cancer. Use of genomic-based prognosis may result in more accurate estimates of true recurrence risk than currently possible with commonly used prognostic factors (such as patient age, tumor size, and tumor grade) alone and thus lead to an increase in appropriate adjuvant therapy decision making.

Entities:  

Year:  2007        PMID: 20859407      PMCID: PMC2793805          DOI: 10.1200/JOP.0742001

Source DB:  PubMed          Journal:  J Oncol Pract        ISSN: 1554-7477            Impact factor:   3.840


  7 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.  Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer.

Authors:  Soonmyung Paik; Gong Tang; Steven Shak; Chungyeul Kim; Joffre Baker; Wanseop Kim; Maureen Cronin; Frederick L Baehner; Drew Watson; John Bryant; Joseph P Costantino; Charles E Geyer; D Lawrence Wickerham; Norman Wolmark
Journal:  J Clin Oncol       Date:  2006-05-23       Impact factor: 44.544

3.  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

Review 4.  Prognosis and management of patients with node-negative invasive breast carcinoma that is 1 cm or smaller in size (stage 1; T1a,bN0M0): a review of the literature.

Authors:  Emer O Hanrahan; Vicente Valero; Ana M Gonzalez-Angulo; Gabriel N Hortobagyi
Journal:  J Clin Oncol       Date:  2006-05-01       Impact factor: 44.544

5.  Histological grading of breast carcinomas: a study of interobserver agreement.

Authors:  P Robbins; S Pinder; N de Klerk; H Dawkins; J Harvey; G Sterrett; I Ellis; C Elston
Journal:  Hum Pathol       Date:  1995-08       Impact factor: 3.466

Review 6.  Adjuvant therapy for breast cancer: recommendations for management based on consensus review and recent clinical trials.

Authors:  Betty A Mincey; Frances M Palmieri; Edith A Perez
Journal:  Oncologist       Date:  2002

7.  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

  7 in total
  42 in total

1.  Editorial: gene expression profile assays as an aid in treatment decision making in early-stage breast cancer.

Authors:  Gary H Lyman
Journal:  J Oncol Pract       Date:  2007-07       Impact factor: 3.840

2.  Coverage policy development for personalized medicine: private payer perspectives on developing policy for the 21-gene assay.

Authors:  Julia R Trosman; Stephanie L Van Bebber; Kathryn A Phillips
Journal:  J Oncol Pract       Date:  2010-09       Impact factor: 3.840

3.  Why does Oncotype DX recurrence score reduce adjuvant chemotherapy use?

Authors:  Jeffrey G Schneider; Danny N Khalil
Journal:  Breast Cancer Res Treat       Date:  2012-06-22       Impact factor: 4.872

4.  Using the 21-gene assay from core needle biopsies to choose neoadjuvant therapy for breast cancer: A multicenter trial.

Authors:  Harry D Bear; Wen Wan; André Robidoux; Peter Rubin; Steven Limentani; Richard L White; James Granfortuna; Judith O Hopkins; Dwight Oldham; Angel Rodriguez; Amy P Sing
Journal:  J Surg Oncol       Date:  2017-04-13       Impact factor: 3.454

5.  The effect of Oncotype DX recurrence score on treatment recommendations for patients with estrogen receptor-positive early stage breast cancer and correlation with estimation of recurrence risk by breast cancer specialists.

Authors:  Jennifer E Joh; Nicole N Esposito; John V Kiluk; Christine Laronga; M Catherine Lee; Loretta Loftus; Hatem Soliman; Judy C Boughey; Carol Reynolds; Thomas J Lawton; Peter I Acs; Lucio Gordan; Geza Acs
Journal:  Oncologist       Date:  2011-10-20

6.  US Insurance Program's Experience With a Multigene Assay for Early-Stage Breast Cancer.

Authors:  John Hornberger; Rebecca Chien; Katie Krebs; Louis Hochheiser
Journal:  J Oncol Pract       Date:  2011-05       Impact factor: 3.840

7.  Patients' perceptions of gene expression profiling in breast cancer treatment decisions.

Authors:  Y Bombard; L Rozmovits; M E Trudeau; N B Leighl; K Deal; D A Marshall
Journal:  Curr Oncol       Date:  2014-04       Impact factor: 3.677

8.  Comparison of Oncotype DX® Recurrence Score® with other risk assessment tools including the Nottingham Prognostic Index in the identification of patients with low-risk invasive breast cancer.

Authors:  Maura Bríd Cotter; Alex Dakin; Aoife Maguire; Janice M Walshe; M John Kennedy; Barbara Dunne; Ciarán Ó Riain; Cecily M Quinn
Journal:  Virchows Arch       Date:  2017-07-14       Impact factor: 4.064

9.  Prognostic and predictive value of the 21-gene recurrence score assay in postmenopausal women with node-positive, oestrogen-receptor-positive breast cancer on chemotherapy: a retrospective analysis of a randomised trial.

Authors:  Kathy S Albain; William E Barlow; Steven Shak; Gabriel N Hortobagyi; Robert B Livingston; I-Tien Yeh; Peter Ravdin; Roberto Bugarini; Frederick L Baehner; Nancy E Davidson; George W Sledge; Eric P Winer; Clifford Hudis; James N Ingle; Edith A Perez; Kathleen I Pritchard; Lois Shepherd; Julie R Gralow; Carl Yoshizawa; D Craig Allred; C Kent Osborne; Daniel F Hayes
Journal:  Lancet Oncol       Date:  2009-12-10       Impact factor: 41.316

Review 10.  Precision Oncology Medicine: The Clinical Relevance of Patient-Specific Biomarkers Used to Optimize Cancer Treatment.

Authors:  Keith T Schmidt; Cindy H Chau; Douglas K Price; William D Figg
Journal:  J Clin Pharmacol       Date:  2016-06-17       Impact factor: 3.126

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