Literature DB >> 16249842

Prognostic factors in breast cancer: the value of the Nottingham Prognostic Index for patients treated in a single institution.

Homa Okugawa1, Daigo Yamamoto, Yoshiko Uemura, Noriko Sakaida, Masanori Yamada, Kanji Tanaka, Yasuo Kamiyama.   

Abstract

PURPOSE: The Nottingham Prognostic Index (NPI) is used to predict survival in patients with breast cancer. This index is based on tumor size, lymph node stage, and histological grade and allows the stratification of patients into three different prognostic groups. Our aim was to verify the effect of some prognostic variables on survival and to establish the independent influence of each of these variables by a survival regression analysis. We applied the NPI to the same group of patients to assess its predictive power and reproducibility.
METHODS: We evaluated 311 women with breast cancer treated between January 1993 and December 1998.
RESULTS: In a multivariate analysis (Cox proportional hazard model), only size, lymph node involvement, and histological grade were independent prognostic factors. The survival curves obtained after applying the NPI were similar to those for the factors with independent prognostic significance derived from our multivariate analysis.
CONCLUSION: The NPI allows us to accurately predict prognosis, and we advocate its standardized use.

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Year:  2005        PMID: 16249842     DOI: 10.1007/s00595-005-3056-x

Source DB:  PubMed          Journal:  Surg Today        ISSN: 0941-1291            Impact factor:   2.549


  19 in total

1.  Validation of existing and development of new prognostic classification schemes in node negative breast cancer. German Breast Cancer Study Group.

Authors:  W Sauerbrei; K Hübner; C Schmoor; M Schumacher
Journal:  Breast Cancer Res Treat       Date:  1997-01       Impact factor: 4.872

2.  The TNM staging system and breast cancer.

Authors:  John R Benson; Donald L Weaver; Indraneel Mittra; Mitsuhiro Hayashi
Journal:  Lancet Oncol       Date:  2003-01       Impact factor: 41.316

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Review 4.  Prognostic factors observed in current clinical trials.

Authors:  F A Dorr
Journal:  Cancer       Date:  1993-03-15       Impact factor: 6.860

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Authors:  P P Rosen; P E Saigo; D W Braun; E Weathers; A DePalo
Journal:  Ann Surg       Date:  1981-01       Impact factor: 12.969

6.  Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up.

Authors:  C W Elston; I O Ellis
Journal:  Histopathology       Date:  1991-11       Impact factor: 5.087

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Authors:  J P Baak; H Van Dop; P H Kurver; J Hermans
Journal:  Cancer       Date:  1985-07-15       Impact factor: 6.860

8.  Pathological prognostic factors in breast cancer. III. Vascular invasion: relationship with recurrence and survival in a large study with long-term follow-up.

Authors:  S E Pinder; I O Ellis; M Galea; S O'Rouke; R W Blamey; C W Elston
Journal:  Histopathology       Date:  1994-01       Impact factor: 5.087

9.  The Nottingham Prognostic Index applied to 9,149 patients from the studies of the Danish Breast Cancer Cooperative Group (DBCG).

Authors:  I Balslev; C K Axelsson; K Zedeler; B B Rasmussen; B Carstensen; H T Mouridsen
Journal:  Breast Cancer Res Treat       Date:  1994       Impact factor: 4.872

10.  A prognostic score in histological node negative breast cancer.

Authors:  B Chevallier; V Mosseri; J P Dauce; P Bastit; J P Julien; B Asselain
Journal:  Br J Cancer       Date:  1990-03       Impact factor: 7.640

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  4 in total

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Authors:  Eman A Toraih; Eman A Mohammed; Sherif Farrag; Nevene Ramsis; Somaya Hosny
Journal:  Mol Diagn Ther       Date:  2015-06       Impact factor: 4.074

2.  Prediction of outcome of patients with metastatic breast cancer: evaluation with prognostic factors and Nottingham prognostic index.

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Journal:  Support Care Cancer       Date:  2009-11-11       Impact factor: 3.603

3.  MicroRNA-21 Expression in Primary Breast Cancer Tissue Among Egyptian Female Patients and its Correlation with Chromosome 17 Aneusomy.

Authors:  Noura Ramadan Abdel-Hamid; Eman A Mohammed; Ashraf H Abbas; Fouad M Badr
Journal:  Mol Diagn Ther       Date:  2015-12       Impact factor: 4.074

4.  Thrombin-activatable fibrinolysis inhibitor Thr325Ile polymorphism and plasma level in breast cancer: A pilot study.

Authors:  Manal S Fawzy; Eman A Mohammed; Amal S Ahmed; Abeer Fakhr-Eldeen
Journal:  Meta Gene       Date:  2015-04-11
  4 in total

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