Literature DB >> 1391987

The Nottingham Prognostic Index in primary breast cancer.

M H Galea1, R W Blamey, C E Elston, I O Ellis.   

Abstract

In 1982 we constructed a prognostic index for patients with primary, operable breast cancer. This index was based on a retrospective analysis of 9 factors in 387 patients. Only 3 of the factors (tumour size, stage of disease, and tumour grade) remained significant on multivariate analysis. The index was subsequently validated in a prospective study of 320 patients. We now present the results of applying this prognostic index to all of the first 1,629 patients in our series of operable breast cancer up to the age of 70. We have used the index to define three subsets of patients with different chances of dying from breast cancer: 1) good prognosis, comprising 29% of patients with 80% 15-year survival; 2) moderate prognosis, 54% of patients with 42% 15-year survival; 3) poor prognosis, 17% of patients with 13% 15-year survival. The 15-year survival of an age-matched female population was 83%.

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Year:  1992        PMID: 1391987     DOI: 10.1007/bf01840834

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


  52 in total

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Authors:  G Contesso; H Mouriesse; S Friedman; J Genin; D Sarrazin; J Rouesse
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2.  Level of axillary involvement by lymph node metastases from breast cancer is not an independent predictor of survival.

Authors:  R J Barth; D N Danforth; D J Venzon; K L Straus; T d'Angelo; M J Merino; L Gerber
Journal:  Arch Surg       Date:  1991-05

3.  Interobserver reproducibility of histopathological features in stage II breast cancer. An ECOG study.

Authors:  K W Gilchrist; L Kalish; V E Gould; S Hirschl; J E Imbriglia; W M Levy; A S Patchefsky; D W Penner; J Pickren; J A Roth
Journal:  Breast Cancer Res Treat       Date:  1985       Impact factor: 4.872

4.  Blood vessel invasion and axillary lymph node involvement as prognostic indicators for human breast cancer.

Authors:  R A Weigand; W M Isenberg; J Russo; M J Brennan; M A Rich
Journal:  Cancer       Date:  1982-09-01       Impact factor: 6.860

5.  Prognostic significance of the DNA content of human breast cancer.

Authors:  C S Dowle; A Owainati; A Robins; K Burns; I O Ellis; C W Elston; R W Blamey
Journal:  Br J Surg       Date:  1987-02       Impact factor: 6.939

6.  Analysis of reproducibility of subjective grading systems for breast carcinoma.

Authors:  B Stenkvist; S Westman-Naeser; J Vegelius; J Holmquist; B Nordin; E Bengtsson; O Eriksson
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7.  Intralaboratory variations in the grading of breast carcinoma.

Authors:  G S Delides; G Garas; G Georgouli; D Jiortziotis; J Lecca; T Liva; J Elemenoglou
Journal:  Arch Pathol Lab Med       Date:  1982-03       Impact factor: 5.534

8.  The immunocytochemical detection of axillary micrometastases in breast cancer.

Authors:  C A Wells; A Heryet; J Brochier; K C Gatter; D Y Mason
Journal:  Br J Cancer       Date:  1984-08       Impact factor: 7.640

9.  Histology in breast cancer prognosis.

Authors:  H R Champion; I W Wallace; R J Prescott
Journal:  Br J Cancer       Date:  1972-04       Impact factor: 7.640

10.  Micrometastases to axillary lymph nodes from carcinoma of breast: detection by immunohistochemistry and prognostic significance.

Authors:  M Trojani; I de Mascarel; F Bonichon; J M Coindre; G Delsol
Journal:  Br J Cancer       Date:  1987-03       Impact factor: 7.640

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  247 in total

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Review 3.  Preoperative assessment of prognostic factors in breast cancer.

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Review 4.  Breast cancer assessment tools and optimizing adjuvant therapy.

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Review 7.  Systems biology: perspectives on multiscale modeling in research on endocrine-related cancers.

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8.  Propensity score analysis of the prognostic value of genomic assays for breast cancer in diverse populations using the National Cancer Data Base.

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9.  Prediction of nodal spread of breast cancer by using artificial neural network-based analyses of S100A4, nm23 and steroid receptor expression.

Authors:  S R Grey; S S Dlay; B E Leone; F Cajone; G V Sherbet
Journal:  Clin Exp Metastasis       Date:  2003       Impact factor: 5.150

10.  HDAC2 overexpression correlates with aggressive clinicopathological features and DNA-damage response pathway of breast cancer.

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