Literature DB >> 14965709

Natural history of node-negative breast cancer: are conventional prognostic factors predictors of time to relapse?

Michel Héry1, Thierry Delozier, Alain Ramaioli, Jean-Pierre Julien, Brigitte de Lafontan, Thierry Petit, Catherine de Ghislain, Béatrice Weber, Jacques Bonneterre, Eric Teissier.   

Abstract

The purpose of this study was to determine a subpopulation of node-negative breast cancer patients at high risk of metastases and to analyse the relationship between conventional prognostic factors and the onset of metastatic disease. Patients with node-negative breast cancer, who were not receiving systemic adjuvant therapy, were prospectively enrolled into a multicentre study. We studied the onset of metastatic disease in relation to family history, age, and tumour characteristics of 2683 registered patients, 2213 were available for analysis. Median follow-up was 100 months. Metastatic disease-free survival was 88% at 5 years and 80% at 10 years. The two strongest prognostic factors in a multivariate analysis tumour Scraff, Bloom and Richardson (SBR) grade (P<0.0001) and size (P<0.02), were used to classify patients into three groups with different risks of relapse at 10 years: (1) lowest (8.4%) risk: SBR I and < or =1 cm; (2) intermediate (20%) risk: SBR I and >1 cm or SBR II or SBR III and < or =2 cm; (3) highest (32%) risk: SBR II or SBR III and >2 cm. A peak in the incidence of metastases was noted between 2 and 4 years, and a nadir between 6 and 8 years, after surgery. SBR grade is a highly predictive factor in node-negative breast cancer. The time course of the appearance of metastases is not linear. Prognostic factors are related to the height of an early peak in the occurrence of metastases rather than to the timing of this peak.

Entities:  

Year:  2002        PMID: 14965709     DOI: 10.1054/brst.2002.0462

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  7 in total

1.  Correlation between mammographic and sonographic findings and prognostic factors in patients with node-negative invasive breast cancer.

Authors:  H J Shin; H H Kim; M O Huh; M J Kim; A Yi; H Kim; B H Son; S H Ahn
Journal:  Br J Radiol       Date:  2010-08-03       Impact factor: 3.039

2.  Variables with time-varying effects and the Cox model: some statistical concepts illustrated with a prognostic factor study in breast cancer.

Authors:  Carine A Bellera; Gaëtan MacGrogan; Marc Debled; Christine Tunon de Lara; Véronique Brouste; Simone Mathoulin-Pélissier
Journal:  BMC Med Res Methodol       Date:  2010-03-16       Impact factor: 4.615

3.  Quantitative apparent diffusion coefficient measurement obtained by 3.0Tesla MRI as a potential noninvasive marker of tumor aggressiveness in breast cancer.

Authors:  Manuela Durando; Lucas Gennaro; Gene Y Cho; Dilip D Giri; Merlin M Gnanasigamani; Sujata Patil; Elizabeth J Sutton; Joseph O Deasy; Elizabeth A Morris; Sunitha B Thakur
Journal:  Eur J Radiol       Date:  2016-06-28       Impact factor: 3.528

4.  Family history of breast cancer and all-cause mortality after breast cancer diagnosis in the Breast Cancer Family Registry.

Authors:  Ellen T Chang; Roger L Milne; Kelly-Anne Phillips; Jane C Figueiredo; Meera Sangaramoorthy; Theresa H M Keegan; Irene L Andrulis; John L Hopper; Pamela J Goodwin; Frances P O'Malley; Nayana Weerasooriya; Carmel Apicella; Melissa C Southey; Michael L Friedlander; Graham G Giles; Alice S Whittemore; Dee W West; Esther M John
Journal:  Breast Cancer Res Treat       Date:  2008-11-26       Impact factor: 4.872

5.  Using association rules mining to explore pattern of Chinese medicinal formulae (prescription) in treating and preventing breast cancer recurrence and metastasis.

Authors:  Yanhua He; Xiao Zheng; Cindy Sit; Wings T Y Loo; ZhiYu Wang; Ting Xie; Bo Jia; Qiaobo Ye; Kamchuen Tsui; Louis W C Chow; Jianping Chen
Journal:  J Transl Med       Date:  2012-09-19       Impact factor: 5.531

6.  Characteristics and Outcomes for Secondary Breast Cancer in Childhood, Adolescent, and Young Adult Cancer Survivors Treated with Radiation.

Authors:  Candice A M Sauder; Qian Li; Alisha Othieno; Daisy Cruz; Mili Arora; Richard J Bold; Fredrick J Meyers; Theresa H M Keegan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-09       Impact factor: 4.090

Review 7.  Plasminogen Activator System and Breast Cancer: Potential Role in Therapy Decision Making and Precision Medicine.

Authors:  Adel Gouri; Aoulia Dekaken; Khalid El Bairi; Arifa Aissaoui; Nihad Laabed; Mohamed Chefrour; Joseph Ciccolini; Gérard Milano; Sadek Benharkat
Journal:  Biomark Insights       Date:  2016-08-16
  7 in total

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