Literature DB >> 22426945

Patients with positive axillary lymph nodes: how to use genomic assays.

Ruta Rao1.   

Abstract

OPINION STATEMENT: The treatment of breast cancer is continually evolving. Standard treatment for early stage, node positive breast cancer has included adjuvant chemotherapy. As we learn more about differences in a tumor's genetic makeup that result in different patterns of recurrence and survival, we are starting to include gene expression in addition to the routine clinical and pathological factors when we make treatment recommendations. For lymph node negative, early stage breast cancer, there are two genomic assays in routine use to predict prognosis and benefit from adjuvant chemotherapy. There is emerging data to support that the same tests may also predict prognosis and chemotherapy benefit, or lack thereof, in lymph node positive tumors. Currently there are no standard of care and this is an area in which more research is being done. Given that the biology of breast tumors is independent of nodal status, there are certainly cases of node positive early stage breast cancer where clinicians can feel comfortable making treatment decisions based on genomic assays. These include women with micrometastases in the lymph nodes or those with one to three positive lymph nodes. Currently, the genomic assays are limited to use in tumors that are estrogen receptor positive. It is still clearly the standard of care to administer chemotherapy to estrogen receptor negative, lymph node positive tumors.

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Year:  2012        PMID: 22426945     DOI: 10.1007/s11864-012-0187-3

Source DB:  PubMed          Journal:  Curr Treat Options Oncol        ISSN: 1534-6277


  24 in total

1.  The 70-gene prognosis-signature predicts disease outcome in breast cancer patients with 1-3 positive lymph nodes in an independent validation study.

Authors:  Stella Mook; Marjanka K Schmidt; Giuseppe Viale; Giancarlo Pruneri; Inge Eekhout; Arno Floore; Annuska M Glas; Jan Bogaerts; Fatima Cardoso; Martine J Piccart-Gebhart; Emiel T Rutgers; Laura J Van't Veer
Journal:  Breast Cancer Res Treat       Date:  2008-07-27       Impact factor: 4.872

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.  Molecular portraits of human breast tumours.

Authors:  C M Perou; T Sørlie; M B Eisen; M van de Rijn; S S Jeffrey; C A Rees; J R Pollack; D T Ross; H Johnsen; L A Akslen; O Fluge; A Pergamenschikov; C Williams; S X Zhu; P E Lønning; A L Børresen-Dale; P O Brown; D Botstein
Journal:  Nature       Date:  2000-08-17       Impact factor: 49.962

4.  Pathological prognostic factors in stage I (T1N0M0) and stage II (T1N1M0) breast carcinoma: a study of 644 patients with median follow-up of 18 years.

Authors:  P P Rosen; S Groshen; P E Saigo; D W Kinne; S Hellman
Journal:  J Clin Oncol       Date:  1989-09       Impact factor: 44.544

Review 5.  American Society of Clinical Oncology 2007 update of recommendations for the use of tumor markers in breast cancer.

Authors:  Lyndsay Harris; Herbert Fritsche; Robert Mennel; Larry Norton; Peter Ravdin; Sheila Taube; Mark R Somerfield; Daniel F Hayes; Robert C Bast
Journal:  J Clin Oncol       Date:  2007-10-22       Impact factor: 44.544

6.  The 70-gene signature as a response predictor for neoadjuvant chemotherapy in breast cancer.

Authors:  Marieke E Straver; Annuska M Glas; Juliane Hannemann; Jelle Wesseling; Marc J van de Vijver; Emiel J Th Rutgers; Marie-Jeanne T F D Vrancken Peeters; Harm van Tinteren; Laura J Van't Veer; Sjoerd Rodenhuis
Journal:  Breast Cancer Res Treat       Date:  2009-02-13       Impact factor: 4.872

7.  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

8.  Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer.

Authors:  Marc Buyse; Sherene Loi; Laura van't Veer; Giuseppe Viale; Mauro Delorenzi; Annuska M Glas; Mahasti Saghatchian d'Assignies; Jonas Bergh; Rosette Lidereau; Paul Ellis; Adrian Harris; Jan Bogaerts; Patrick Therasse; Arno Floore; Mohamed Amakrane; Fanny Piette; Emiel Rutgers; Christos Sotiriou; Fatima Cardoso; Martine J Piccart
Journal:  J Natl Cancer Inst       Date:  2006-09-06       Impact factor: 13.506

9.  Strategies for subtypes--dealing with the diversity of breast cancer: highlights of the St. Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011.

Authors:  A Goldhirsch; W C Wood; A S Coates; R D Gelber; B Thürlimann; H-J Senn
Journal:  Ann Oncol       Date:  2011-06-27       Impact factor: 32.976

10.  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

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