Literature DB >> 26195940

Application of a 70-Gene Expression Profile to Japanese Breast Cancer Patients.

Hideo Shimizu1, Yoshiya Horimoto1, Atsushi Arakawa2, Hiroshi Sonoue2, Mami Kurata1, Taijiro Kosaka1, Katsuya Nakai1, Takanori Himuro1, Emi Tokuda1, Yuka Takahashi1, Fumi Taira1, Mayuko Ito1, Ikuko Abe1, Koji Senuma1, Lisette Stork-Sloots3, Femke de Snoo3, Mitsue Saito1.   

Abstract

BACKGROUND: As data on using MammaPrint®, a 70-gene expression profile for molecular subtyping of breast cancer, are limited in Japanese patients, we aimed to determine the gene profiles of Japanese patients using MammaPrint and to investigate its possible clinical application for selecting adjuvant treatments. PATIENTS AND METHODS: 50 women treated surgically at our institution were examined. The MammaPrint results were compared with the St Gallen 2007 and intrinsic subtype risk categorizations.
RESULTS: Of 38 cases judged to be at intermediate risk based on the St Gallen 2007 Consensus, 11 (29%) were in the high-risk group based on MammaPrint. 1 of the 30 luminal A-like tumors (3%) was judged as high risk based on MammaPrint results, whereas 7 of the 20 tumors (35%) categorized as luminal B-like or triple negative were in the low-risk group. There have been no recurrences to date in the MammaPrint group, and this is possibly attributable to most of the high-risk patients receiving chemotherapy that had been recommended on the basis of their MammaPrint results.
CONCLUSIONS: Our results indicate that MammaPrint is applicable to Japanese patients and that it is of potential value in current clinical practice for devising individualized treatments.

Entities:  

Keywords:  70-Gene expression profile; Breast cancer; Japanese patients; MammaPrint; Prognosis

Year:  2015        PMID: 26195940      PMCID: PMC4464039          DOI: 10.1159/000376562

Source DB:  PubMed          Journal:  Breast Care (Basel)        ISSN: 1661-3791            Impact factor:   2.860


  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.  Clinical utility of the 70-gene MammaPrint profile in a Japanese population.

Authors:  Makoto Ishitobi; Teodora E Goranova; Yoshifumi Komoike; Kazuyoshi Motomura; Hiroki Koyama; Annuska M Glas; Ellen van Lienen; Hideo Inaji; Laura J Van't Veer; Kikuya Kato
Journal:  Jpn J Clin Oncol       Date:  2010-01-27       Impact factor: 3.019

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.  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

5.  Analysis of the MammaPrint breast cancer assay in a predominantly postmenopausal cohort.

Authors:  Ben S Wittner; Dennis C Sgroi; Paula D Ryan; Tako J Bruinsma; Annuska M Glas; Anitha Male; Sonika Dahiya; Karleen Habin; Rene Bernards; Daniel A Haber; Laura J Van't Veer; Sridhar Ramaswamy
Journal:  Clin Cancer Res       Date:  2008-05-15       Impact factor: 12.531

6.  HER2 expression and efficacy of preoperative paclitaxel/FAC chemotherapy in breast cancer.

Authors:  Fabrice Andre; Chafika Mazouni; Cornelia Liedtke; Shu-Wan Kau; Debby Frye; Marjorie Green; Ana M Gonzalez-Angulo; W Fraser Symmans; Gabriel N Hortobagyi; Lajos Pusztai
Journal:  Breast Cancer Res Treat       Date:  2007-04-28       Impact factor: 4.872

Review 7.  Prediction of adjuvant chemotherapy benefit in endocrine responsive, early breast cancer using multigene assays.

Authors:  Kathy S Albain; Soonmyung Paik; Laura van't Veer
Journal:  Breast       Date:  2009-10       Impact factor: 4.380

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.  Is breast cancer the same disease in Asian and Western countries?

Authors:  Stanley P L Leong; Zhen-Zhou Shen; Tse-Jia Liu; Gaurav Agarwal; Tomoo Tajima; Nam-Sun Paik; Kerstin Sandelin; Anna Derossis; Hiram Cody; William D Foulkes
Journal:  World J Surg       Date:  2010-10       Impact factor: 3.352

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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  2 in total

1.  Individual expression features of GPX2, NQO1 and SQSTM1 transcript variants induced by hydrogen peroxide treatment in HeLa cells.

Authors:  Anna A Belanova; Dmitry S Smirnov; Maxim S Makarenko; Mariya M Belousova; Elena V Mashkina; Anzhela A Aleksandrova; Alexander V Soldatov; Peter V Zolotukhin
Journal:  Genet Mol Biol       Date:  2017-05-29       Impact factor: 1.771

2.  Meta-analysis of predictive models to assess the clinical validity and utility for patient-centered medical decision making: application to the CAncer of the Prostate Risk Assessment (CAPRA).

Authors:  Marine Lorent; Haïfa Maalmi; Philippe Tessier; Stéphane Supiot; Etienne Dantan; Yohann Foucher
Journal:  BMC Med Inform Decis Mak       Date:  2019-01-07       Impact factor: 2.796

  2 in total

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