Literature DB >> 21221771

Comparison of the prognostic and predictive utilities of the 21-gene Recurrence Score assay and Adjuvant! for women with node-negative, ER-positive breast cancer: results from NSABP B-14 and NSABP B-20.

Gong Tang1, Steven Shak, Soonmyung Paik, Stewart J Anderson, Joseph P Costantino, Charles E Geyer, Eleftherios P Mamounas, D Lawrence Wickerham, Norman Wolmark.   

Abstract

The Oncotype DX Recurrence Score (RS) is a validated genomic predictor of outcome and response to adjuvant chemotherapy in ER-positive breast cancer. Adjuvant! was developed using SEER registry data and results from the Early Breast Cancer Clinical Trialists' overview analyses to estimate outcome and benefit from adjuvant hormonal therapy and chemotherapy. In this report we compare the prognostic and predictive utility of these two tools in node-negative, ER-positive breast cancer. RS and Adjuvant! results were available from 668 tamoxifen-treated NSABP B-14 patients, 227 tamoxifen-treated NSABP B-20 patients, and 424 chemotherapy plus tamoxifen-treated B-20 patients. Adjuvant! results were also available from 1952 B-20 patients. The primary endpoint was distant recurrence-free interval (DRFI). Cox proportional hazards models were used to compare the prognostic and predictive utility of RS and Adjuvant!. Both RS (P < 0.001) and Adjuvant! (P = 0.002) provided strong independent prognostic information in tamoxifen-treated patients. Combining RS and individual clinicopathologic characteristics provided greater prognostic discrimination than combining RS and the composite Adjuvant!. In the B-20 cohort with RS results (n = 651), RS was significantly predictive of chemotherapy benefit (interaction P = 0.031 for DRFI, P = 0.011 for overall survival [OS], P = 0.082 for disease-free survival [DFS]), but Adjuvant! was not (interaction P = 0.99, P = 0.311, and P = 0.357, respectively). However, in the larger B-20 sub-cohort (n = 1952), Adjuvant! was significantly predictive of chemotherapy benefit for OS (interaction P = 0.009) but not for DRFI (P = 0.219) or DFS (P = 0.099). Prognostic estimates can be optimized by combining RS and clinicopathologic information instead of simply combining RS and Adjuvant!. RS should be used for estimating relative chemotherapy benefit.

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Year:  2011        PMID: 21221771      PMCID: PMC4266581          DOI: 10.1007/s10549-010-1331-z

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  22 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

3.  Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications.

Authors:  T Sørlie; C M Perou; R Tibshirani; T Aas; S Geisler; H Johnsen; T Hastie; M B Eisen; M van de Rijn; S S Jeffrey; T Thorsen; H Quist; J C Matese; P O Brown; D Botstein; P E Lønning; A L Børresen-Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-11       Impact factor: 11.205

4.  Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer.

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Journal:  J Clin Oncol       Date:  2001-02-15       Impact factor: 44.544

5.  Tamoxifen and chemotherapy for lymph node-negative, estrogen receptor-positive breast cancer.

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Journal:  J Natl Cancer Inst       Date:  1997-11-19       Impact factor: 13.506

6.  Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up.

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Journal:  Histopathology       Date:  1991-11       Impact factor: 5.087

7.  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

8.  A randomized clinical trial evaluating tamoxifen in the treatment of patients with node-negative breast cancer who have estrogen-receptor-positive tumors.

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Journal:  N Engl J Med       Date:  1989-02-23       Impact factor: 91.245

9.  Studies of the potential utility of Ki67 as a predictive molecular marker of clinical response in primary breast cancer.

Authors:  L Assersohn; J Salter; T J Powles; R A'hern; A Makris; R K Gregory; J Chang; M Dowsett
Journal:  Breast Cancer Res Treat       Date:  2003-11       Impact factor: 4.872

10.  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

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  73 in total

1.  Impact of multigene assays in early stage breast cancer.

Authors:  Shelly S Lo; Kathy S Albain
Journal:  Oncologist       Date:  2011-10-20

2.  Translational genomics: the challenge of developing cancer biomarkers.

Authors:  James D Brooks
Journal:  Genome Res       Date:  2012-02       Impact factor: 9.043

Review 3.  [Molecular pathology for breast cancer: Importance of the gene expression profile].

Authors:  C Denkert; B M Pfitzner; B I Heppner; M Dietel
Journal:  Pathologe       Date:  2015-03       Impact factor: 1.011

4.  Cost-Effectiveness Analyses of the 21-Gene Assay in Breast Cancer: Systematic Review and Critical Appraisal.

Authors:  Shi-Yi Wang; Weixiong Dang; Ilana Richman; Sarah S Mougalian; Suzanne B Evans; Cary P Gross
Journal:  J Clin Oncol       Date:  2018-04-16       Impact factor: 44.544

5.  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

6.  Can molecular subtyping replace axillary nodal status as prognostic marker in breast cancer?

Authors:  Debarshi Jana; Diptendra Kumar Sarkar; Suvro Ganguly; Abhirup Banerjee; Asim Kumar Manna; Syamsundar Mandal
Journal:  Indian J Surg Oncol       Date:  2014-04-06

7.  TAILORx: Questions Answered, Lessons Learned, and Remaining Knowledge Gaps.

Authors:  Joseph A Sparano; Robert Gray
Journal:  J Clin Oncol       Date:  2019-06-07       Impact factor: 44.544

8.  Clinical and Genomic Risk to Guide the Use of Adjuvant Therapy for Breast Cancer.

Authors:  Joseph A Sparano; Robert J Gray; Peter M Ravdin; Della F Makower; Kathleen I Pritchard; Kathy S Albain; Daniel F Hayes; Charles E Geyer; Elizabeth C Dees; Matthew P Goetz; John A Olson; Tracy Lively; Sunil S Badve; Thomas J Saphner; Lynne I Wagner; Timothy J Whelan; Matthew J Ellis; Soonmyung Paik; William C Wood; Maccon M Keane; Henry L Gomez Moreno; Pavan S Reddy; Timothy F Goggins; Ingrid A Mayer; Adam M Brufsky; Deborah L Toppmeyer; Virginia G Kaklamani; Jeffrey L Berenberg; Jeffrey Abrams; George W Sledge
Journal:  N Engl J Med       Date:  2019-06-03       Impact factor: 91.245

9.  Tailored targeted therapy for all: a realistic and worthwhile objective against.

Authors:  Kathleen I Pritchard
Journal:  Breast Cancer Res       Date:  2009-12-18       Impact factor: 6.466

10.  How much can improved molecular and pathologic discriminants change local therapy?

Authors:  Monica Morrow
Journal:  Breast Cancer Res       Date:  2008-12-18       Impact factor: 6.466

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