Literature DB >> 26089718

Using proliferative markers and Oncotype DX in therapeutic decision-making for breast cancer: the B.C. experience.

E Baxter1, L Gondara2, C Lohrisch3, S Chia3, K Gelmon3, M Hayes4, A Davidson3, S Tyldesley1.   

Abstract

BACKGROUND: Proliferative scoring of breast tumours can guide treatment recommendations, particularly for estrogen receptor (er)-positive, her2-negative, T1-2, N0 disease. Our objectives were to □ estimate the proportion of such patients for whom proliferative indices [mitotic count (mc), Ki-67 immunostain, and Oncotype dx (Genomic Health, Redwood City, CA, U.S.A.) recurrence score (rs)] were obtained.□ compare the indices preferred by oncologists with the indices available to them.□ correlate Nottingham grade (ng) and its subcomponents with Oncotype dx.□ assess interobserver variation.
METHODS: All of the er-positive, her2-negative, T1-2, N0 breast cancers diagnosed from 2007 to 2011 (n = 5110) were linked to a dataset of all provincial breast cancers with a rs. A 5% random sample of the 5110 cancers was reviewed to estimate the proportion that had a mc, Ki-67 index, and rs. Correlation coefficients were calculated for the rs with ng subcomponent scores. Interobserver variation in histologic grading between outside and central review pathology reports was assessed using a weighted kappa test.
RESULTS: During 2007-2011, most cancers were histologically graded and assigned a mc; few had a Ki-67 index or rs. The ng and mc were significantly positively correlated with rs. The level of agreement in histologic scoring between outside and central pathology reports was good or very good. Very few cases with a low mc had a high rs (1.8%).
CONCLUSIONS: Patients with low ng and mc scores are unlikely to have a high rs, and thus are less likely to benefit from chemotherapy. In the context of limited resources, that finding can guide clinicians about when a rs adds the most value.

Entities:  

Keywords:  Breast cancer; proliferative markers

Year:  2015        PMID: 26089718      PMCID: PMC4462529          DOI: 10.3747/co.22.2284

Source DB:  PubMed          Journal:  Curr Oncol        ISSN: 1198-0052            Impact factor:   3.677


  13 in total

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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

2.  Can features evaluated in the routine pathologic assessment of lymph node-negative estrogen receptor-positive stage I or II invasive breast cancer be used to predict the Oncotype DX recurrence score?

Authors:  Jena Auerbach; Mimi Kim; Susan Fineberg
Journal:  Arch Pathol Lab Med       Date:  2010-11       Impact factor: 5.534

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

4.  A prospective clinical utility and pharmacoeconomic study of the impact of the 21-gene Recurrence Score® assay in oestrogen receptor positive node negative breast cancer.

Authors:  J A Davidson; I Cromwell; S L Ellard; C Lohrisch; K A Gelmon; T Shenkier; D Villa; H Lim; S Sun; S Taylor; M Taylor; B Czerkawski; M Hayes; D N Ionescu; C Yoshizawa; C Chao; S Peacock; S K Chia
Journal:  Eur J Cancer       Date:  2013-04-20       Impact factor: 9.162

5.  Histopathologic variables predict Oncotype DX recurrence score.

Authors:  Melina B Flanagan; David J Dabbs; Adam M Brufsky; Sushil Beriwal; Rohit Bhargava
Journal:  Mod Pathol       Date:  2008-10       Impact factor: 7.842

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Authors:  Jo Anne Zujewski; Leah Kamin
Journal:  Future Oncol       Date:  2008-10       Impact factor: 3.404

7.  Assessment of Ki67 in breast cancer: recommendations from the International Ki67 in Breast Cancer working group.

Authors:  Mitch Dowsett; Torsten O Nielsen; Roger A'Hern; John Bartlett; R Charles Coombes; Jack Cuzick; Matthew Ellis; N Lynn Henry; Judith C Hugh; Tracy Lively; Lisa McShane; Soon Paik; Frederique Penault-Llorca; Ljudmila Prudkin; Meredith Regan; Janine Salter; Christos Sotiriou; Ian E Smith; Giuseppe Viale; Jo Anne Zujewski; Daniel F Hayes
Journal:  J Natl Cancer Inst       Date:  2011-09-29       Impact factor: 13.506

8.  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

9.  Ki-67 is a prognostic parameter in breast cancer patients: results of a large population-based cohort of a cancer registry.

Authors:  E C Inwald; M Klinkhammer-Schalke; F Hofstädter; F Zeman; M Koller; M Gerstenhauer; O Ortmann
Journal:  Breast Cancer Res Treat       Date:  2013-05-16       Impact factor: 4.872

10.  Ki-67 as prognostic marker in early breast cancer: a meta-analysis of published studies involving 12,155 patients.

Authors:  E de Azambuja; F Cardoso; G de Castro; M Colozza; M S Mano; V Durbecq; C Sotiriou; D Larsimont; M J Piccart-Gebhart; M Paesmans
Journal:  Br J Cancer       Date:  2007-04-24       Impact factor: 7.640

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  4 in total

1.  Adherence to guidelines in requesting Oncotype DX in a publicly funded health care system.

Authors:  S Martel; M Lambertini; R Simon; C Matte; C Prady
Journal:  Curr Oncol       Date:  2018-08-14       Impact factor: 3.677

2.  The use of automated Ki67 analysis to predict Oncotype DX risk-of-recurrence categories in early-stage breast cancer.

Authors:  Satbir Singh Thakur; Haocheng Li; Angela M Y Chan; Roxana Tudor; Gilbert Bigras; Don Morris; Emeka K Enwere; Hua Yang
Journal:  PLoS One       Date:  2018-01-05       Impact factor: 3.240

3.  MicroRNA-567 dysregulation contributes to carcinogenesis of breast cancer, targeting tumor cell proliferation, and migration.

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Journal:  Breast Cancer Res Treat       Date:  2016-12-20       Impact factor: 4.872

4.  Molecular profiling of advanced breast cancer tumors is beneficial in assisting clinical treatment plans.

Authors:  Philip Carter; Costi Alifrangis; Biancastella Cereser; Pramodh Chandrasinghe; Lisa Del Bel Belluz; Nina Moderau; Fotini Poyia; Lee S Schwartzberg; Neha Tabassum; Jinrui Wen; Jonathan Krell; Justin Stebbing
Journal:  Oncotarget       Date:  2018-02-24
  4 in total

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