Literature DB >> 2085674

RECPAM analysis of prognostic factors in patients with stage III breast cancer.

C Erlichman1, P Warde, T Gadalla, A Ciampi, T Baskerville.   

Abstract

A retrospective chart review was conducted of women with stage III breast cancer seen at the Princess Margaret Hospital between January 1977 and December 1980. Three hundred and sixty-nine patients were available for analysis. These cases were evaluated to determine the prognostic factors of patients presenting with this stage of the disease using a recursive partitioning technique, RECPAM, and a Cox regression model. A non-mathematical description of RECPAM is presented and the advantages of RECPAM over Cox analysis are discussed. The results identify primary tumour size, axillary node involvement, internal mammary node involvement, and estrogen receptor status as the most important prognostic variables. RECPAM identified 3 prognostic groups and simultaneously provided rules based on the prognostic variables to assign patients to poor, intermediate, or good prognosis categories. Patients with estrogen receptor negative tumours, or those with axillary node involvement, primary tumours greater than 5 cm, and serum alkaline phosphatase greater than 60 IU/L, or those with internal mammary node involvement, no skin changes, and serum alkaline phosphatase greater than 60 IU/L, define a group with a poor prognosis. Patients with estrogen receptor positive tumours, no axillary node involvements, and primary tumours greater than 5 cm, or estrogen receptor positive tumours, axillary node involvement, primary tumours greater than 5 cm, but serum alkaline phosphatase less than or equal to 60 U/L, have an intermediate prognosis. The good prognosis group consists of those patients with estrogen receptor positive tumours who have either skin changes or primary tumours less than or equal to 5 cm. The effect of loco-regional and systemic therapy was assessed and there was no association between treatment assignment and prognostic group. On the basis of this RECPAM analysis, we have defined important prognostic variables to be used in the design of clinical trials, and three major patient subgroups which can be used in routine oncologic practice as a guide to patient management.

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Year:  1990        PMID: 2085674     DOI: 10.1007/BF01806331

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


  18 in total

1.  Results of treating stage III carcinoma of the breast by primary radiation therapy.

Authors:  J E Bruckman; J R Harris; M B Levene; J T Chaffey; S Hellman
Journal:  Cancer       Date:  1979-03       Impact factor: 6.860

2.  Simple mastectomy and radiotherapy in the treatment of breast cancer.

Authors:  R McWHIRTER
Journal:  Br J Radiol       Date:  1955-03       Impact factor: 3.039

3.  CARCINOMA OF THE BREAST: II. CRITERIA OF OPERABILITY.

Authors:  C D Haagensen; A P Stout
Journal:  Ann Surg       Date:  1943-11       Impact factor: 12.969

4.  Prognosis in inoperable stage III carcinoma of the breast.

Authors:  R D Rubens; P Armitage; P J Winter; D Tong; J L Hayward
Journal:  Eur J Cancer       Date:  1977-08       Impact factor: 9.162

5.  Regression and recursive partition strategies in the analysis of medical survival data.

Authors:  A Ciampi; J F Lawless; S M McKinney; K Singhal
Journal:  J Clin Epidemiol       Date:  1988       Impact factor: 6.437

6.  The natural history of untreated breast cancer.

Authors:  H J Bloom
Journal:  Ann N Y Acad Sci       Date:  1964-04-02       Impact factor: 5.691

7.  Empiric comparison of multivariate analytic techniques: advantages and disadvantages of recursive partitioning analysis.

Authors:  E F Cook; L Goldman
Journal:  J Chronic Dis       Date:  1984

8.  Radiation treatment of stage III mammary carcinoma: a review of 129 patients.

Authors:  A D Treurniet-Donker; W C Hop; S den Hoed-Sijtsema
Journal:  Int J Radiat Oncol Biol Phys       Date:  1980-11       Impact factor: 7.038

9.  Stage III and localized stage IV breast cancer: irradiation alone vs irradiation plus surgery.

Authors:  J Bedwinek; D V Rao; C Perez; J Lee; B Fineberg
Journal:  Int J Radiat Oncol Biol Phys       Date:  1982-01       Impact factor: 7.038

10.  Natural history and survival of inoperable breast cancer treated with radiotherapy and radiotherapy followed by radical mastectomy.

Authors:  R Zucali; C Uslenghi; R Kenda; G Bonadonna
Journal:  Cancer       Date:  1976-03       Impact factor: 6.860

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  1 in total

1.  Survival analysis of censored data: neural network analysis detection of complex interactions between variables.

Authors:  M De Laurentiis; P M Ravdin
Journal:  Breast Cancer Res Treat       Date:  1994       Impact factor: 4.872

  1 in total

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