Literature DB >> 18678838

Prognostic utility of the 21-gene assay in hormone receptor-positive operable breast cancer compared with classical clinicopathologic features.

Lori J Goldstein1, Robert Gray, Sunil Badve, Barrett H Childs, Carl Yoshizawa, Steve Rowley, Steven Shak, Frederick L Baehner, Peter M Ravdin, Nancy E Davidson, George W Sledge, Edith A Perez, Lawrence N Shulman, Silvana Martino, Joseph A Sparano.   

Abstract

PURPOSE: Adjuvant! is a standardized validated decision aid that projects outcomes in operable breast cancer based on classical clinicopathologic features and therapy. Genomic classifiers offer the potential to more accurately identify individuals who benefit from chemotherapy than clinicopathologic features. PATIENTS AND METHODS: A sample of 465 patients with hormone receptor (HR) -positive breast cancer with zero to three positive axillary nodes who did (n = 99) or did not have recurrence after chemohormonal therapy had tumor tissue evaluated using a 21-gene assay. Histologic grade and HR expression were evaluated locally and in a central laboratory.
RESULTS: Recurrence Score (RS) was a highly significant predictor of recurrence, including node-negative and node-positive disease (P < .001 for both) and when adjusted for other clinical variables. RS also predicted recurrence more accurately than clinical variables when integrated by an algorithm modeled after Adjuvant! that was adjusted to 5-year outcomes. The 5-year recurrence rate was only 5% or less for the estimated 46% of patients who have a low RS (< 18).
CONCLUSION: The 21-gene assay was a more accurate predictor of relapse than standard clinical features for individual patients with HR-positive operable breast cancer treated with chemohormonal therapy and provides information that is complementary to features typically used in anatomic staging, such as tumor size and lymph node involvement. The 21-gene assay may be used to select low-risk patients for abbreviated chemotherapy regimens similar to those used in our study or high-risk patients for more aggressive regimens or clinical trials evaluating novel treatments.

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Year:  2008        PMID: 18678838      PMCID: PMC2654377          DOI: 10.1200/JCO.2007.14.4501

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  29 in total

1.  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

2.  Gene expression profiling predicts clinical outcome of breast cancer.

Authors:  Laura J van 't Veer; Hongyue Dai; Marc J van de Vijver; Yudong D He; Augustinus A M Hart; Mao Mao; Hans L Peterse; Karin van der Kooy; Matthew J Marton; Anke T Witteveen; George J Schreiber; Ron M Kerkhoven; Chris Roberts; Peter S Linsley; René Bernards; Stephen H Friend
Journal:  Nature       Date:  2002-01-31       Impact factor: 49.962

Review 3.  Clinical trial designs for predictive marker validation in cancer treatment trials.

Authors:  Daniel J Sargent; Barbara A Conley; Carmen Allegra; Laurence Collette
Journal:  J Clin Oncol       Date:  2005-03-20       Impact factor: 44.544

4.  Population-based validation of the prognostic model ADJUVANT! for early breast cancer.

Authors:  Ivo A Olivotto; Chris D Bajdik; Peter M Ravdin; Caroline H Speers; Andrew J Coldman; Brian D Norris; Greg J Davis; Stephen K Chia; Karen A Gelmon
Journal:  J Clin Oncol       Date:  2005-04-20       Impact factor: 44.544

5.  Estrogen receptor status by immunohistochemistry is superior to the ligand-binding assay for predicting response to adjuvant endocrine therapy in breast cancer.

Authors:  J M Harvey; G M Clark; C K Osborne; D C Allred
Journal:  J Clin Oncol       Date:  1999-05       Impact factor: 44.544

6.  Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival.

Authors:  Howard Y Chang; Dimitry S A Nuyten; Julie B Sneddon; Trevor Hastie; Robert Tibshirani; Therese Sørlie; Hongyue Dai; Yudong D He; Laura J van't Veer; Harry Bartelink; Matt van de Rijn; Patrick O Brown; Marc J van de Vijver
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-08       Impact factor: 11.205

7.  Histologic grading of breast carcinoma. A reproducibility study.

Authors:  L W Dalton; D L Page; W D Dupont
Journal:  Cancer       Date:  1994-06-01       Impact factor: 6.860

8.  Proposal for standardized definitions for efficacy end points in adjuvant breast cancer trials: the STEEP system.

Authors:  Clifford A Hudis; William E Barlow; Joseph P Costantino; Robert J Gray; Kathleen I Pritchard; Judith-Anne W Chapman; Joseph A Sparano; Sally Hunsberger; Rebecca A Enos; Richard D Gelber; Jo Anne Zujewski
Journal:  J Clin Oncol       Date:  2007-05-20       Impact factor: 44.544

9.  Improved outcomes from adding sequential Paclitaxel but not from escalating Doxorubicin dose in an adjuvant chemotherapy regimen for patients with node-positive primary breast cancer.

Authors:  I Craig Henderson; Donald A Berry; George D Demetri; Constance T Cirrincione; Lori J Goldstein; Silvana Martino; James N Ingle; M Robert Cooper; Daniel F Hayes; Katherine H Tkaczuk; Gini Fleming; James F Holland; David B Duggan; John T Carpenter; Emil Frei; Richard L Schilsky; William C Wood; Hyman B Muss; Larry Norton
Journal:  J Clin Oncol       Date:  2003-03-15       Impact factor: 44.544

10.  Anastrozole alone or in combination with tamoxifen versus tamoxifen alone for adjuvant treatment of postmenopausal women with early-stage breast cancer: results of the ATAC (Arimidex, Tamoxifen Alone or in Combination) trial efficacy and safety update analyses.

Authors:  M Baum; A Buzdar; J Cuzick; J Forbes; J Houghton; A Howell; T Sahmoud
Journal:  Cancer       Date:  2003-11-01       Impact factor: 6.860

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  116 in total

1.  Relationship between quantitative GRB7 RNA expression and recurrence after adjuvant anthracycline chemotherapy in triple-negative breast cancer.

Authors:  Joseph A Sparano; Lori J Goldstein; Barrett H Childs; Steven Shak; Diana Brassard; Sunil Badve; Frederick L Baehner; Roberto Bugarini; Steve Rowley; Edith A Perez; Lawrence N Shulman; Silvana Martino; Nancy E Davidson; Paraic A Kenny; George W Sledge; Robert Gray
Journal:  Clin Cancer Res       Date:  2011-09-20       Impact factor: 12.531

Review 2.  Breast cancer assessment tools and optimizing adjuvant therapy.

Authors:  Catherine Oakman; Libero Santarpia; Angelo Di Leo
Journal:  Nat Rev Clin Oncol       Date:  2010-10-26       Impact factor: 66.675

Review 3.  Gene-expression-based prognostic assays for breast cancer.

Authors:  Chungyeul Kim; Soonmyung Paik
Journal:  Nat Rev Clin Oncol       Date:  2010-05-04       Impact factor: 66.675

Review 4.  Molecular basis for therapy resistance.

Authors:  Per E Lønning
Journal:  Mol Oncol       Date:  2010-04-24       Impact factor: 6.603

5.  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

6.  Chemotherapy and the recurrence score--results as expected?

Authors:  Lajos Pusztai
Journal:  Nat Rev Clin Oncol       Date:  2015-11-10       Impact factor: 66.675

7.  Cost effectiveness of a 21-gene recurrence score assay versus Canadian clinical practice in post-menopausal women with early-stage estrogen or progesterone-receptor-positive, axillary lymph-node positive breast cancer.

Authors:  Malek B Hannouf; Bin Xie; Muriel Brackstone; Gregory S Zaric
Journal:  Pharmacoeconomics       Date:  2014-02       Impact factor: 4.981

Review 8.  Clinical utility of gene-expression signatures in early stage breast cancer.

Authors:  Maryann Kwa; Andreas Makris; Francisco J Esteva
Journal:  Nat Rev Clin Oncol       Date:  2017-05-31       Impact factor: 66.675

Review 9.  Genomic profiling in luminal breast cancer.

Authors:  Oleg Gluz; Daniel Hofmann; Rachel Würstlein; Cornelia Liedtke; Ulrike Nitz; Nadia Harbeck
Journal:  Breast Care (Basel)       Date:  2013-12       Impact factor: 2.860

10.  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

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