Literature DB >> 8096955

Age as prognostic factor in premenopausal breast carcinoma.

A de la Rochefordiere1, B Asselain, F Campana, S M Scholl, J Fenton, J R Vilcoq, J C Durand, P Pouillart, H Magdelenat, A Fourquet.   

Abstract

Whether or not young age at diagnosis is an adverse prognostic factor in breast cancer has long been controversial, in part because much previous work has not taken due account of menopausal status and confounding factors. We have analysed the influence of age on prognosis in a consecutive series of 1703 patients with stage I-III breast cancer. All were premenopausal and all were treated in one centre (Institut Curie, Paris) between 1981 and 1985. Mean age was 44 years (range 23-55) and median follow-up was 82 months. Younger patients had significantly lower survival rates and higher local and distant relapse rates than older patients. The hazard rate of relapse decreased over time in the youngest age group (< or = 33) to reach that of older patients after 5 years. The relation between the hazard of recurrence and age was a continuous one, best fitted by a log-linear function and indicating a 4% decrease in recurrence for every year of age. Multivariate analysis of both survival and disease-free interval demonstrated that the worse prognosis of young age was independent of other factors such as clinical tumour size, clinical node status, histological grade, hormone receptor status, locoregional treatment procedure, and adjuvant systemic therapy. This difference in outlook has yet to be explained biologically but it does suggest the need for a closer look at the natural history of breast cancer in young women.

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Year:  1993        PMID: 8096955     DOI: 10.1016/0140-6736(93)92407-k

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  105 in total

1.  Evaluation of single nucleotide polymorphisms (SNPs) in the p53 binding protein 1 (TP53BP1) gene in breast cancer patients treated with breast-conserving surgery and whole-breast irradiation (BCS + RT).

Authors:  Bruce G Haffty; Sharad Goyal; Diptee Kulkarni; Camille Green; Alexi Vazquez; Devora Schiff; Meena S Moran; Qifeng Yang; Shridar Ganesan; Kim M Hirsfield
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-06-18       Impact factor: 7.038

2.  Conditional survival among cancer patients in the United States.

Authors:  Ray M Merrill; Bradley D Hunter
Journal:  Oncologist       Date:  2010-07-20

3.  Effects of Age and Immune Landscape on Outcome in HER2-Positive Breast Cancer in the NCCTG N9831 (Alliance) and NSABP B-31 (NRG) Trials.

Authors:  Saranya Chumsri; Daniel J Serie; Zhuo Li; Katherine L Pogue-Geile; Aixa E Soyano-Muller; Afshin Mashadi-Hossein; Sarah Warren; Yanyan Lou; Gerardo Colon-Otero; Keith L Knutson; Edith A Perez; Alvaro Moreno-Aspitia; E Aubrey Thompson
Journal:  Clin Cancer Res       Date:  2019-02-26       Impact factor: 12.531

4.  Mammographic appearance of nonpalpable breast cancer reflects pathologic characteristics.

Authors:  Csaba Gajdos; Paul Ian Tartter; Ira J Bleiweiss; George Hermann; John de Csepel; Alison Estabrook; Alfred W Rademaker
Journal:  Ann Surg       Date:  2002-02       Impact factor: 12.969

Review 5.  Dose-intensified treatment of breast cancer: current results.

Authors:  C von Schilling; F Herrmann
Journal:  J Mol Med (Berl)       Date:  1995-12       Impact factor: 4.599

6.  A distribution of tumor size at detection and its limiting form.

Authors:  A Y Yakovlev; L G Hanin; S T Rachev; A D Tsodikov
Journal:  Proc Natl Acad Sci U S A       Date:  1996-06-25       Impact factor: 11.205

7.  A joint hazard and time scaling model to compare survival curves.

Authors:  S Klawansky; M S Fox
Journal:  Proc Natl Acad Sci U S A       Date:  1996-08-06       Impact factor: 11.205

8.  Contralateral prophylactic mastectomy in young women with breast cancer: a population-based analysis of predictive factors and clinical impact.

Authors:  A Bouchard-Fortier; N N Baxter; R Sutradhar; K Fernandes; X Camacho; P Graham; M L Quan
Journal:  Curr Oncol       Date:  2018-12-01       Impact factor: 3.677

9.  US breast cancer mortality trends in young women according to race.

Authors:  Foluso O Ademuyiwa; Feng Gao; Lin Hao; Daniel Morgensztern; Rebecca L Aft; Cynthia X Ma; Matthew J Ellis
Journal:  Cancer       Date:  2014-12-05       Impact factor: 6.860

10.  Breast cancer in young women: poor survival despite intensive treatment.

Authors:  Hanna Fredholm; Sonja Eaker; Jan Frisell; Lars Holmberg; Irma Fredriksson; Henrik Lindman
Journal:  PLoS One       Date:  2009-11-11       Impact factor: 3.240

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