Literature DB >> 11290434

Prognostic factors in breast cancer: the predictive value of the Nottingham Prognostic Index in patients with a long-term follow-up that were treated in a single institution.

G D'Eredita'1, C Giardina, M Martellotta, T Natale, F Ferrarese.   

Abstract

The Nottingham Prognostic Index (NPI) is an index, derived from a retrospective multivariate study, that is able to predict survival in patients with breast cancer. The index is based on tumour size, lymph node stage and histological grade and allows the stratification of patients into three different prognostic groups. The aim of this study was to verify, according to our experience with a long-term follow-up, the effect of some prognostic variables on survival and to establish the independent influence of each of them by means of a survival regression analysis. Then we applied the NPI to the same group of patients in order to assess the predictive power and reproducibility of the index. 402 patients treated from January 1979 to December 1987 were evaluated. In multivariate analysis (Cox proportional hazard model), only size, lymph node involvement and histological grade remained independent prognostic factors. The survival curves obtained after applying the NPI are similar to those for the factors with independent prognostic significance derived from our multivariate analysis. Our improved survival rates may be attributed to the administration of adjuvant therapies to a larger number of patients. The NPI allow us to accurately predict prognosis and we advocate its more common use.

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Year:  2001        PMID: 11290434     DOI: 10.1016/s0959-8049(00)00435-4

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  46 in total

1.  The Nottingham Prognostic Index: five- and ten-year data for all-cause survival within a screened population.

Authors:  Y Fong; J Evans; D Brook; J Kenkre; P Jarvis; K Gower-Thomas
Journal:  Ann R Coll Surg Engl       Date:  2015-03       Impact factor: 1.891

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.  Comparison of Oncotype DX® Recurrence Score® with other risk assessment tools including the Nottingham Prognostic Index in the identification of patients with low-risk invasive breast cancer.

Authors:  Maura Bríd Cotter; Alex Dakin; Aoife Maguire; Janice M Walshe; M John Kennedy; Barbara Dunne; Ciarán Ó Riain; Cecily M Quinn
Journal:  Virchows Arch       Date:  2017-07-14       Impact factor: 4.064

4.  Usefulness of serum CA 15.3 and histopathological prognostic indices in breast cancer.

Authors:  R Nalini; C R Wilma Delphine Silvia; Purnima M Makhija; Sheila Uthappa
Journal:  Indian J Clin Biochem       Date:  2005-01

Review 5.  Therapeutic Implications of the Molecular and Immune Landscape of Triple-Negative Breast Cancer.

Authors:  Ana C Gregório; Manuela Lacerda; Paulo Figueiredo; Sérgio Simões; Sérgio Dias; João Nuno Moreira
Journal:  Pathol Oncol Res       Date:  2017-09-14       Impact factor: 3.201

6.  Construction the model on the breast cancer survival analysis use support vector machine, logistic regression and decision tree.

Authors:  Cheng-Min Chao; Ya-Wen Yu; Bor-Wen Cheng; Yao-Lung Kuo
Journal:  J Med Syst       Date:  2014-08-14       Impact factor: 4.460

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

Authors:  Homa Okugawa; Daigo Yamamoto; Yoshiko Uemura; Noriko Sakaida; Masanori Yamada; Kanji Tanaka; Yasuo Kamiyama
Journal:  Surg Today       Date:  2005       Impact factor: 2.549

8.  Novel staging system for predicting disease-specific survival in patients with breast cancer treated with surgery as the first intervention: time to modify the current American Joint Committee on Cancer staging system.

Authors:  Min Yi; Elizabeth A Mittendorf; Janice N Cormier; Thomas A Buchholz; Karl Bilimoria; Aysegul A Sahin; Gabriel N Hortobagyi; Ana Maria Gonzalez-Angulo; Sheng Luo; Aman U Buzdar; Jaime R Crow; Henry M Kuerer; Kelly K Hunt
Journal:  J Clin Oncol       Date:  2011-11-14       Impact factor: 44.544

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

Authors:  Mu-Tai Liu; Wen-Tao Huang; Ai-Yih Wang; Chia-Chun Huang; Chao-Yuan Huang; Tung-Hao Chang; Chu-Pin Pi; Hao-Han Yang
Journal:  Support Care Cancer       Date:  2009-11-11       Impact factor: 3.603

10.  PREDICT: a new UK prognostic model that predicts survival following surgery for invasive breast cancer.

Authors:  Gordon C Wishart; Elizabeth M Azzato; David C Greenberg; Jem Rashbass; Olive Kearins; Gill Lawrence; Carlos Caldas; Paul D P Pharoah
Journal:  Breast Cancer Res       Date:  2010-01-06       Impact factor: 6.466

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