Literature DB >> 18078353

Use of the Oncotype DX 21-gene assay to guide adjuvant decision making in early-stage breast cancer.

Alison K Conlin1, Andrew D Seidman.   

Abstract

The decision to use adjuvant chemotherapy in patients with early stage breast cancer involves the consideration of many factors that traditionally rely heavily on tumor size and lymph node involvement and a limited set of biologic characteristics such as estrogen receptor and HER2 expression. Overtreatment with cytotoxic chemotherapy is a significant concern among patients and physicians. Using the currently accepted guidelines it has been estimated that a large percentage of patients receiving chemotherapy for low-risk breast cancers may be overtreated. Gene expression profiling is a new technology being developed to help improve risk stratification of patients and to predict outcomes. The Oncotype DXtrade mark assay is one example of a gene expression profile validated in women with lymph node-negative, estrogen receptor-expressing breast cancer. This assay and others aim to help improve risk classification and recurrence prediction and, therefore, optimize selection of patients for adjuvant chemotherapy.

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Year:  2007        PMID: 18078353     DOI: 10.1007/BF03256259

Source DB:  PubMed          Journal:  Mol Diagn Ther        ISSN: 1177-1062            Impact factor:   4.074


  35 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-03       Impact factor: 11.205

4.  Estrogen-receptor status and outcomes of modern chemotherapy for patients with node-positive breast cancer.

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Journal:  JAMA       Date:  2006-04-12       Impact factor: 56.272

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Journal:  Nature       Date:  2000-08-17       Impact factor: 49.962

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Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

7.  Age as prognostic factor in premenopausal breast carcinoma.

Authors:  A de la Rochefordiere; B Asselain; F Campana; S M Scholl; J Fenton; J R Vilcoq; J C Durand; P Pouillart; H Magdelenat; A Fourquet
Journal:  Lancet       Date:  1993-04-24       Impact factor: 79.321

8.  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

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Authors:  B Fisher; M Bauer; D L Wickerham; C K Redmond; E R Fisher; A B Cruz; R Foster; B Gardner; H Lerner; R Margolese
Journal:  Cancer       Date:  1983-11-01       Impact factor: 6.860

10.  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

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  5 in total

1.  Placenta-imprinted gene expression association of infant neurobehavior.

Authors:  Carmen J Marsit; Luca Lambertini; Matthew A Maccani; Devin C Koestler; E Andres Houseman; James F Padbury; Barry M Lester; Jia Chen
Journal:  J Pediatr       Date:  2011-12-06       Impact factor: 4.406

2.  Cryotherapy for breast cancer: a feasibility study without excision.

Authors:  Peter J Littrup; Bassel Jallad; Priti Chandiwala-Mody; Monica D'Agostini; Barbara A Adam; David Bouwman
Journal:  J Vasc Interv Radiol       Date:  2009-10       Impact factor: 3.464

3.  A multi-site feasibility study for personalized medicine in canines with osteosarcoma.

Authors:  Noel R Monks; David M Cherba; Steven G Kamerling; Heather Simpson; Anthony W Rusk; Derrick Carter; Emily Eugster; Marie Mooney; Robert Sigler; Matthew Steensma; Tessa Grabinski; Keith R Marotti; Craig P Webb
Journal:  J Transl Med       Date:  2013-07-01       Impact factor: 5.531

Review 4.  Computational prognostic indicators for breast cancer.

Authors:  Xinan Yang; Xindi Ai; John M Cunningham
Journal:  Cancer Manag Res       Date:  2014-07-12       Impact factor: 3.989

5.  A novel gammaretroviral shuttle vector insertional mutagenesis screen identifies SHARPIN as a breast cancer metastasis gene and prognostic biomarker.

Authors:  Victor M Bii; Dustin T Rae; Grant D Trobridge
Journal:  Oncotarget       Date:  2015-11-24
  5 in total

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