Literature DB >> 8123483

Defining a high mortality risk group among women with primary breast cancer.

T Nordén1, A Lindgren, R Bergström, L Holmberg.   

Abstract

Increasing interest has been focused on DNA ploidy, hormone receptor status and tumour size as prognostic factors in node-negative breast cancer. We analysed these factors in patients operated on for primary invasive breast cancer between January 1981 and December 1987 in a prospective study of 248 women with no involved axillary nodes and 188 women with positive nodes followed until 15 April 1989. Oestrogen or progesterone receptor negativity, aneuploidy and tumour diameter exceeding 20 mm were studied as negative prognostic signs in life table analyses and Cox proportional hazards models of corrected survival. Corrected survival decreased with increasing number of negative signs. Three to four signs yielded a statistically significant, two- to threefold higher risk than the others. Survival estimates by life table analyses differed by 20% at 5 years. In the whole group, women with three or four negative factors had a relative risk of dying from their disease more than twice that of the others. Women with no involved nodes and with three or four negative factors had a risk of dying from breast cancer similar to that of node-positive women with fewer than three.

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Year:  1994        PMID: 8123483      PMCID: PMC1968840          DOI: 10.1038/bjc.1994.94

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


  13 in total

1.  Relationship of estrogen and progesterone receptors to prognosis in breast cancer.

Authors:  G A Gelbfish; A L Davidson; S Kopel; B Schreibman; J S Gelbfish; G A Degenshein; B L Herz; J N Cunningham
Journal:  Ann Surg       Date:  1988-01       Impact factor: 12.969

2.  Comparison between flow cytometry and single cell cytophotometry for DNA content analysis of the uterine cervix.

Authors:  P Strang; A Lindgren; U Stendahl
Journal:  Acta Radiol Oncol       Date:  1985 Jul-Aug

3.  Prediction of relapse or survival in patients with node-negative breast cancer by DNA flow cytometry.

Authors:  G M Clark; L G Dressler; M A Owens; G Pounds; T Oldaker; W L McGuire
Journal:  N Engl J Med       Date:  1989-03-09       Impact factor: 91.245

4.  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

5.  Breast cancer therapy: exercising all our options.

Authors:  V T De Vita
Journal:  N Engl J Med       Date:  1989-02-23       Impact factor: 91.245

6.  DNA content and survival in mammary carcinoma.

Authors:  G U Auer; T O Caspersson; A S Wallgren
Journal:  Anal Quant Cytol       Date:  1980-09

7.  Pathologic findings from the National Surgical Adjuvant Breast and Bowel Projects (NSABP). Prognostic discriminants for 8-year survival for node-negative invasive breast cancer patients.

Authors:  E R Fisher; C Redmond; B Fisher; G Bass
Journal:  Cancer       Date:  1990-05-01       Impact factor: 6.860

8.  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

9.  Confirmation of a prognostic index in primary breast cancer.

Authors:  J H Todd; C Dowle; M R Williams; C W Elston; I O Ellis; C P Hinton; R W Blamey; J L Haybittle
Journal:  Br J Cancer       Date:  1987-10       Impact factor: 7.640

10.  A prognostic index in primary breast cancer.

Authors:  J L Haybittle; R W Blamey; C W Elston; J Johnson; P J Doyle; F C Campbell; R I Nicholson; K Griffiths
Journal:  Br J Cancer       Date:  1982-03       Impact factor: 7.640

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  2 in total

1.  Prognostic role of oestrogen and progesterone receptors in patients with breast cancer: relation to age and lymph node status.

Authors:  K Collett; F Hartveit; R Skjaerven; B O Maehle
Journal:  J Clin Pathol       Date:  1996-11       Impact factor: 3.411

2.  Improved prognostication in small (pT1) breast cancers by image cytometry.

Authors:  M Aubele; G Auer; U Falkmer; A Voss; K Rodenacker; L E Rutquist; H Höfler
Journal:  Breast Cancer Res Treat       Date:  1995       Impact factor: 4.872

  2 in total

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