Literature DB >> 20110242

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

Makoto Ishitobi1, Teodora E Goranova, Yoshifumi Komoike, Kazuyoshi Motomura, Hiroki Koyama, Annuska M Glas, Ellen van Lienen, Hideo Inaji, Laura J Van't Veer, Kikuya Kato.   

Abstract

OBJECTIVE: van't Veer and colleagues developed a 70-gene prognosis profile known as MammaPrint to identify breast cancer patients who were at low risk of developing metastases. We evaluated the prognostic value of the 70-gene MammaPrint profile in Japanese women with node-negative breast cancer.
METHODS: Frozen tumour samples from 102 eligible node-negative breast cancer patients aged 70 or younger were characterized with the MammaPrint array. The patients were treated with breast-conserving therapy or mastectomy with axillary lymph node dissection between December 1998 and August 2001. About 73 percent received adjuvant hormonal therapy and 28 percent received adjuvant chemotherapy. The gene expression profiles obtained by MammaPrint classified the patients as high- or low-genomic risk. The median follow-up was 7.1 years.
RESULTS: Among the 102 patients, 20 (20%) were classified as low-genomic risk and 82 (80%) were classified as high-genomic risk. The probability of distant metastasis-free survival at five years was 100% for the low-risk group and 94% for the high-risk group.
CONCLUSIONS: The 70-gene MammaPrint prognosis profile accurately identified Japanese breast cancer patients at low risk of developing recurrences. In fact, 100% of the individuals in the low-risk category remained metastasis-free for the duration of the observation period.

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Year:  2010        PMID: 20110242     DOI: 10.1093/jjco/hyp195

Source DB:  PubMed          Journal:  Jpn J Clin Oncol        ISSN: 0368-2811            Impact factor:   3.019


  10 in total

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

Authors:  Hideo Shimizu; Yoshiya Horimoto; Atsushi Arakawa; Hiroshi Sonoue; Mami Kurata; Taijiro Kosaka; Katsuya Nakai; Takanori Himuro; Emi Tokuda; Yuka Takahashi; Fumi Taira; Mayuko Ito; Ikuko Abe; Koji Senuma; Lisette Stork-Sloots; Femke de Snoo; Mitsue Saito
Journal:  Breast Care (Basel)       Date:  2015-04       Impact factor: 2.860

Review 2.  An "elite hacker": breast tumors exploit the normal microenvironment program to instruct their progression and biological diversity.

Authors:  Aaron Boudreau; Laura J van't Veer; Mina J Bissell
Journal:  Cell Adh Migr       Date:  2012-05-01       Impact factor: 3.405

3.  The 70-gene prognostic signature for korean breast cancer patients.

Authors:  Kuk Young Na; Ku Sang Kim; Jeong Eon Lee; Hee Jeong Kim; Jung-Hyun Yang; Sei-Hyun Ahn; Byung-In Moon; Ra Mi Kim; Si Mon Ko; Yong Sik Jung
Journal:  J Breast Cancer       Date:  2011-03-31       Impact factor: 3.588

4.  Development of novel breast cancer recurrence prediction model using support vector machine.

Authors:  Woojae Kim; Ku Sang Kim; Jeong Eon Lee; Dong-Young Noh; Sung-Won Kim; Yong Sik Jung; Man Young Park; Rae Woong Park
Journal:  J Breast Cancer       Date:  2012-06-28       Impact factor: 3.588

5.  Validation of the CancerMath prognostic tool for breast cancer in Southeast Asia.

Authors:  Hui Miao; Mikael Hartman; Helena M Verkooijen; Nur Aishah Taib; Hoong-Seam Wong; Shridevi Subramaniam; Cheng-Har Yip; Ern-Yu Tan; Patrick Chan; Soo-Chin Lee; Nirmala Bhoo-Pathy
Journal:  BMC Cancer       Date:  2016-10-21       Impact factor: 4.430

6.  A new molecular prognostic score for predicting the risk of distant metastasis in patients with HR+/HER2- early breast cancer.

Authors:  Gyungyub Gong; Mi Jeong Kwon; Jinil Han; Hee Jin Lee; Se Kyung Lee; Jeong Eon Lee; Seon-Heui Lee; Sarah Park; Jong-Sun Choi; Soo Youn Cho; Sei Hyun Ahn; Jong Won Lee; Sang Rae Cho; Youngho Moon; Byung-Ho Nam; Seok Jin Nam; Yoon-La Choi; Young Kee Shin
Journal:  Sci Rep       Date:  2017-03-28       Impact factor: 4.379

7.  Practical Consensus Recommendations for Optimizing Risk versus Benefit of Chemotherapy in Patients with HR Positive Her2 Negative Early Breast Cancer in India.

Authors:  Purvish M Parikh; Gouri Shankar Bhattacharyya; Ghanshyam Biswas; Arvind Krishnamurty; Dinesh Doval; Anil Heroor; Sanjay Sharma; Ramakant Deshpande; Harit Chaturvedi; S P Somashekhar; Govind Babu; G Krishna Reddy; Diptendra Sarkar; Chirag Desai; Hemant Malhotra; Nitesh Rohagi; Ajay Bapna; S S Alurkar; Prasad Krishna; S V S Deo; Anurag Shrivastava; Prakash Chitalkar; Saroj Kumar Majumdar; Devanhalli Vijay; Aniket Thoke; K S Udupa; Jyoti Bajpai; G K Rath; Palanki Satya Dattatreya; Shailesh Bondarde; Shekhar Patil
Journal:  South Asian J Cancer       Date:  2021-12-31

8.  Cost-Effectiveness Analysis from a Societal Perspective of Recurrence Index for Distant Recurrence (RecurIndex) in Women with Hormone Receptor-Positive and HER2-Negative Early-Stage Breast Cancer.

Authors:  Nicolas Pennarun; Jian-Ying Chiu; Hsun-Chen Chang; Sean-Lin Huang; Skye Hung-Chun Cheng
Journal:  Cancer Manag Res       Date:  2022-02-25       Impact factor: 3.989

Review 9.  Overview of Breast Cancer and Implications of Overtreatment of Early-Stage Breast Cancer: An Indian Perspective.

Authors:  Gouri Shankar Bhattacharyya; Dinesh C Doval; Chirag J Desai; Harit Chaturvedi; Sanjay Sharma; S P Somashekhar
Journal:  JCO Glob Oncol       Date:  2020-06

10.  Development and validation of a new predictive model for breast cancer survival in New Zealand and comparison to the Nottingham prognostic index.

Authors:  J Mark Elwood; Essa Tawfiq; Sandar TinTin; Roger J Marshall; Tung M Phung; Ian Campbell; Vernon Harvey; Ross Lawrenson
Journal:  BMC Cancer       Date:  2018-09-17       Impact factor: 4.430

  10 in total

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