Literature DB >> 1627813

Prognostic factors and natural history in lymph node-negative breast cancer patients.

R Arriagada1, L E Rutqvist, L Skoog, H Johansson, A Kramar.   

Abstract

The prognostic significance of clinical and histological factors as well as hormone receptors was analyzed in a population of 3,064 lymph node-negative breast cancer patients operated in the Stockholm region between 1976 and 1988. None of these patients received systemic adjuvant treatment. Multivariate analysis showed that only histological tumor size, number of examined axillary lymph nodes, and progesterone receptors were independent prognostic factors in terms of recurrence-free interval. An individual risk of recurrence was calculated taking into account these three factors to discriminate between three groups of patients with a risk of less than 15%, 15-25%, and more than 25% of recurrence at 5 years. Similar results were obtained taking into account only the first two factors. The prognostic information added by the knowledge of progesterone receptors only changed the recurrence rate in approximately 3%. This study showed that conventional prognostic factors permit the identification of high risk lymph node-negative breast cancer patients. Results obtained by the use of new more sophisticated factors should be compared with those obtained analyzing strong conventional prognostic factors.

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Year:  1992        PMID: 1627813     DOI: 10.1007/bf01836956

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


  36 in total

1.  Cathepsin D: an independent prognostic factor for metastasis of breast cancer.

Authors:  F Spyratos; T Maudelonde; J P Brouillet; M Brunet; A Defrenne; C Andrieu; K Hacene; A Desplaces; J Rouëssé; H Rochefort
Journal:  Lancet       Date:  1989-11-11       Impact factor: 79.321

2.  The importance of histologic grade in long-term prognosis of breast cancer: a study of 1,010 patients, uniformly treated at the Institut Gustave-Roussy.

Authors:  G Contesso; H Mouriesse; S Friedman; J Genin; D Sarrazin; J Rouesse
Journal:  J Clin Oncol       Date:  1987-09       Impact factor: 44.544

3.  Multivariate survival analysis using Cox's regression model.

Authors:  E Christensen
Journal:  Hepatology       Date:  1987 Nov-Dec       Impact factor: 17.425

4.  Estrogen receptor versus nuclear grade as prognostic factors in axillary node negative breast cancer.

Authors:  W L McGuire
Journal:  J Clin Oncol       Date:  1988-07       Impact factor: 44.544

5.  Cytosol estradiol receptor in human mammary carcinoma: an assay based on isoelectric focusing in polyacrylamide gel.

Authors:  O Wrange; B Nordenskjöld; J A Gustafsson
Journal:  Anal Biochem       Date:  1978-04       Impact factor: 3.365

6.  Radiotherapy alone in breast cancer. I. Analysis of tumor parameters, tumor dose and local control: the experience of the Gustave-Roussy Institute and the Princess Margaret Hospital.

Authors:  R Arriagada; H Mouriesse; D Sarrazin; R M Clark; G Deboer
Journal:  Int J Radiat Oncol Biol Phys       Date:  1985-10       Impact factor: 7.038

7.  Prognostic value of steroid hormone receptors: multivariate analysis of systemically untreated patients with node negative primary breast cancer.

Authors:  S M Thorpe; C Rose; B B Rasmussen; H T Mouridsen; T Bayer; N Keiding
Journal:  Cancer Res       Date:  1987-11-15       Impact factor: 12.701

8.  Efficacy and cost effectiveness of adjuvant chemotherapy in women with node-negative breast cancer. A decision-analysis model.

Authors:  B E Hillner; T J Smith
Journal:  N Engl J Med       Date:  1991-01-17       Impact factor: 91.245

9.  Indicators of prognosis in node-negative breast cancer.

Authors:  H Sigurdsson; B Baldetorp; A Borg; M Dalberg; M Fernö; D Killander; H Olsson
Journal:  N Engl J Med       Date:  1990-04-12       Impact factor: 91.245

10.  Competing risks determining event-free survival in early breast cancer.

Authors:  R Arriagada; L E Rutqvist; A Kramar; H Johansson
Journal:  Br J Cancer       Date:  1992-11       Impact factor: 7.640

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  2 in total

Review 1.  Prognosis and prediction of response in breast cancer: the current role of the main biological markers.

Authors:  A Ravaioli; L Bagli; A Zucchini; F Monti
Journal:  Cell Prolif       Date:  1998 Jun-Aug       Impact factor: 6.831

2.  New insights into the metastatic behavior after breast cancer surgery, according to well-established clinicopathological variables and molecular subtypes.

Authors:  Oreste Claudio Buonomo; Emanuele Caredda; Ilaria Portarena; Gianluca Vanni; Augusto Orlandi; Claudia Bagni; Giuseppe Petrella; Leonardo Palombi; Paolo Orsaria
Journal:  PLoS One       Date:  2017-09-18       Impact factor: 3.240

  2 in total

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