Literature DB >> 6352003

Relation of number of positive axillary nodes to the prognosis of patients with primary breast cancer. An NSABP update.

B Fisher, M Bauer, D L Wickerham, C K Redmond, E R Fisher, A B Cruz, R Foster, B Gardner, H Lerner, R Margolese.   

Abstract

The current findings completely affirm the validity of our original observations indicating the appropriateness of grouping primary breast cancer patients into those with negative, 1 to 3, or greater than or equal to 4 positive nodes. Results, however, reveal that there is a risk in combining all patients with greater than or equal to 4 positive nodes into a single group. Since there was a 25% greater disease-free survival and an 18% greater survival in those with 4 to 6 than in those with greater than or equal to 13 positive axillary nodes, such a unification may provide misleading information regarding patient prognosis, as well as the worth of a therapeutic regimen when compared with another from a putatively similar patient population. Of particular interest were findings relating the conditional probability, i.e., the hazard rate, of a treatment failure or death each year during the 5-year period following operation to nodal involvement with tumor. Whereas the hazard rate for those with negative, or 1 to 3 positive nodes, was relatively low and constant, in those with greater than or equal to 4 positive nodes the risk in the early years was much greater, but by the fifth year it was similar to that occurring when 1-3 nodes were involved, and not much different from negative node patients. The same pattern existed whether 4 to 6 or greater than or equal to 13 nodes were positive. When the current findings are considered relative to other factors with predictive import, it is concluded that nodal status still remains the primary prognostic discriminant.

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Year:  1983        PMID: 6352003     DOI: 10.1002/1097-0142(19831101)52:9<1551::aid-cncr2820520902>3.0.co;2-3

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  218 in total

Review 1.  Axillary staging of breast cancer and the sentinel node.

Authors:  G Cserni
Journal:  J Clin Pathol       Date:  2000-10       Impact factor: 3.411

2.  Prognostic and Predictive Factors for Breast Cancer.

Authors: 
Journal:  Breast Cancer       Date:  1995-10-31       Impact factor: 4.239

3.  Breast Cancer: A Revolutionary Concept.

Authors: 
Journal:  Breast Cancer       Date:  1995-04-30       Impact factor: 4.239

4.  The Nottingham Prognostic Index in primary breast cancer.

Authors:  M H Galea; R W Blamey; C E Elston; I O Ellis
Journal:  Breast Cancer Res Treat       Date:  1992       Impact factor: 4.872

Review 5.  The detection of circulating breast cancer cells in blood.

Authors:  A M Gilbey; D Burnett; R E Coleman; I Holen
Journal:  J Clin Pathol       Date:  2004-09       Impact factor: 3.411

Review 6.  Patterns of metastasis and natural courses of breast carcinoma.

Authors:  Y T Lee
Journal:  Cancer Metastasis Rev       Date:  1985       Impact factor: 9.264

Review 7.  Axillary lymph node echo-guided fine-needle aspiration cytology enables breast cancer patients to avoid a sentinel lymph node biopsy. Preliminary experience and a review of the literature.

Authors:  Vittorio Altomare; Gabriella Guerriero; Rita Carino; Cleonice Battista; Angelo Primavera; Annamaria Altomare; Donata Vaccaro; Alessandro Esposito; Anna Maria Ferri; Carla Rabitti
Journal:  Surg Today       Date:  2007-08-27       Impact factor: 2.549

8.  Personalized medicine in breast cancer: a systematic review.

Authors:  Sang-Hoon Cho; Jongsu Jeon; Seung Il Kim
Journal:  J Breast Cancer       Date:  2012-09-28       Impact factor: 3.588

Review 9.  Management of the Axilla after Neoadjuvant Systemic Therapy.

Authors:  Trista J Stankowski-Drengler; Heather B Neuman
Journal:  Curr Treat Options Oncol       Date:  2020-05-27

10.  Staging of the axilla in breast cancer: accurate in vivo assessment using positron emission tomography with 2-(fluorine-18)-fluoro-2-deoxy-D-glucose.

Authors:  I C Smith; K N Ogston; P Whitford; F W Smith; P Sharp; M Norton; I D Miller; A K Ah-See; S D Heys; J A Jibril; O Eremin
Journal:  Ann Surg       Date:  1998-08       Impact factor: 12.969

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