Literature DB >> 10206067

Applying the Nottingham Prognostic Index to a Swedish breast cancer population. South East Swedish Breast Cancer Study Group.

M Sundquist1, S Thorstenson, L Brudin, B Nordenskjöld.   

Abstract

The aim of this study was to assess the applicability of histopathological grading according to the protocol of Elston/Ellis and the Nottingham Prognostic Index (NPI) to a defined breast cancer population. The NPI is the sum of the individual scores concerning grade, tumour size, and lymph node status, each weighted according to regression coefficients of a Cox proportional hazard analysis and calculated for each individual breast cancer patient. 630 consecutive patients with invasive breast cancer diagnosed 1988-91 were retrospectively followed up and their tumours reviewed and graded. A Cox proportional hazard analysis was performed. Grade, lymph node status, and tumour size were statistically significant predictors of survival within the follow up period (median 7.2 years). Similar to NPI, a temporary index (Kalmar Prognostic Index, KPI) was derived and normalised to NPI for comparison (KPI(norm)). NPI and KPI(norm) gave similar prognostic power in spite of the differences of the patient populations from which the 2 indices were derived. Patients with NPI 4 or less had 0.66% breast cancer specific mortality during the follow up time. 14% of the patients with NPI 4.1-5 and 32% of those with an index sum 5.1-6 died from breast cancer during this time. Younger patients tended to have higher grade tumours. We advocate the common use of grade and the NPI in order to increase the comparability of groups of patients receiving different therapies.

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Year:  1999        PMID: 10206067     DOI: 10.1023/a:1006052115874

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  35 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.  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

3.  Correlation between minimum apparent diffusion coefficient values and the histological grade of breast invasive ductal carcinoma.

Authors:  Suhong Zhao; Weihua Guo; Ru Tan; Peipei Chen; Zhaohua Li; Fengguo Sun; Guangrui Shao
Journal:  Oncol Lett       Date:  2018-03-23       Impact factor: 2.967

4.  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

5.  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

6.  Long term prognostic value of Nottingham histological grade and its components in early (pT1N0M0) breast carcinoma.

Authors:  S Frkovic-Grazio; M Bracko
Journal:  J Clin Pathol       Date:  2002-02       Impact factor: 3.411

Review 7.  The Nottingham prognostic index for invasive carcinoma of the breast.

Authors:  Andrew H S Lee; Ian O Ellis
Journal:  Pathol Oncol Res       Date:  2008-06-10       Impact factor: 3.201

8.  Predicting metastasis in breast cancer: comparing a decision tree with domain experts.

Authors:  Amir R Razavi; Hans Gill; Hans Ahlfeldt; Nosrat Shahsavar
Journal:  J Med Syst       Date:  2007-08       Impact factor: 4.460

9.  An investigation into the performance of the Adjuvant! Online prognostic programme in early breast cancer for a cohort of patients in the United Kingdom.

Authors:  H E Campbell; M A Taylor; A L Harris; A M Gray
Journal:  Br J Cancer       Date:  2009-09-01       Impact factor: 7.640

10.  Molecular characteristics of screen-detected vs symptomatic breast cancers and their impact on survival.

Authors:  S J Dawson; S W Duffy; F M Blows; K E Driver; E Provenzano; J LeQuesne; D C Greenberg; P Pharoah; C Caldas; G C Wishart
Journal:  Br J Cancer       Date:  2009-09-22       Impact factor: 7.640

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