Literature DB >> 16411216

Twenty-five years of follow-up in patients with operable breast carcinoma: correlation between clinicopathologic factors and the risk of death in each 5-year period.

Rodrigo Arriagada1, Monique G Le, Ariane Dunant, Maurice Tubiana, Genevieve Contesso.   

Abstract

BACKGROUND: Some investigators have suggested a decreased prognostic value for conventional prognostic factors over time in patients with breast carcinoma. The objective of this study was to assess the effect of prognostic factors on the risk of death in patients with breast carcinoma over a long follow-up.
METHODS: The authors assessed clinicopathologic prognostic factors in patients with early-stage breast carcinoma over a follow-up > 25 years and analyzed the variation of their effect on death in consecutive 5-year follow-up intervals. The study included 2410 women who primarily underwent complete surgical resection. Time-dependent variables were analyzed by using different multivariate models.
RESULTS: Four factors were related strongly to the risk of death in the first 5 years: tumor size, histologic grade, the number of involved axillary lymph nodes, and age at diagnosis. After 10-15 years of follow-up, only age at diagnosis was related to the risk of death. The effect of powerful prognostic factors, except age at diagnosis, on the risk of death was time limited, and no effects or very small effects were detectable after 10 years of follow-up.
CONCLUSIONS: Conventional and widely accepted prognostic factors may explain a significant portion of early deaths among patients with early-stage breast carcinoma, but they were of limited value to explain late mortality, that also may be influenced by late events, such as new primary malignancies and treatment complications. Cancer 2006. (c) 2006 American Cancer Society.

Entities:  

Mesh:

Year:  2006        PMID: 16411216     DOI: 10.1002/cncr.21659

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  23 in total

Review 1.  Present and future role of FDG-PET/CT imaging in the management of breast cancer.

Authors:  Kazuhiro Kitajima; Yasuo Miyoshi
Journal:  Jpn J Radiol       Date:  2016-01-05       Impact factor: 2.374

2.  [Prognostic and predictive factors of invasive breast cancer: update 2009].

Authors:  T Decker; D Hungermann; W Böcker
Journal:  Pathologe       Date:  2009-02       Impact factor: 1.011

3.  Cancerous breast lesions on dynamic contrast-enhanced MR images: computerized characterization for image-based prognostic markers.

Authors:  Neha Bhooshan; Maryellen L Giger; Sanaz A Jansen; Hui Li; Li Lan; Gillian M Newstead
Journal:  Radiology       Date:  2010-02-01       Impact factor: 11.105

4.  Sentinel Lymph Node Biopsy in Patients with Breast Cancer: Comparison of Peritumoral and Periareolar Injection.

Authors:  T Rosenow; C Biedendieck; H Fricke; M Brinkmann; U Cirkel; W-D Reinbold; E Fricke
Journal:  Geburtshilfe Frauenheilkd       Date:  2012-11       Impact factor: 2.915

5.  Diagnostic and prognostic value of (18)F-FDG PET/CT for axillary lymph node staging in patients with breast cancer.

Authors:  Kazuhiro Kitajima; Kazuhito Fukushima; Yasuo Miyoshi; Takayuki Katsuura; Yoko Igarashi; Yusuke Kawanaka; Miya Mouri; Kaoru Maruyama; Toshiko Yamano; Hiroshi Doi; Koichiro Yamakado; Seiichi Hirota; Shozo Hirota
Journal:  Jpn J Radiol       Date:  2015-12-29       Impact factor: 2.374

6.  Tumour 18 F-FDG Uptake on preoperative PET/CT may predict axillary lymph node metastasis in ER-positive/HER2-negative and HER2-positive breast cancer subtypes.

Authors:  Jin You Kim; Suck Hong Lee; Suk Kim; Taewoo Kang; Young Tae Bae
Journal:  Eur Radiol       Date:  2014-10-09       Impact factor: 5.315

7.  Prognostic and Predictive Markers for Treatment Decisions in Early Breast Cancer.

Authors:  Elmar Stickeler
Journal:  Breast Care (Basel)       Date:  2011-06-14       Impact factor: 2.860

8.  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

9.  Clinical implications of multifocality as a prognostic factor in breast carcinoma - a multivariate analysis study comprising 460 cases.

Authors:  Monica Boros; Septimiu Voidazan; Cosmin Moldovan; Rares Georgescu; Cornelia Toganel; Denisa Moncea; Claudiu V Molnar; Cristian Podoleanu; Alexandru Eniu; Simona Stolnicu
Journal:  Int J Clin Exp Med       Date:  2015-06-15

10.  Her2-neu score as a prognostic factor for outcome in patients with triple-negative breast cancer.

Authors:  Gilda Schmidt; Christoph Gerlinger; Ingolf Juhasz-Böss; Elmar Stickeler; Achim Rody; Cornelia Liedtke; Pauline Wimberger; Theresa Link; Eberhard Müller; Tanja Fehm; Manuela Abel; Stefan Stein; Rainer Bohle; Jan Endrikat; Erich-Franz Solomayer
Journal:  J Cancer Res Clin Oncol       Date:  2016-03-23       Impact factor: 4.553

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