Literature DB >> 11753038

Prognostic factors in node-negative breast cancer: a review of studies with sample size more than 200 and follow-up more than 5 years.

Attiqa N Mirza1, Nadeem Q Mirza, Georges Vlastos, S Eva Singletary.   

Abstract

OBJECTIVE: To review the published literature on prognostic factors in patients with node-negative breast cancer, focusing principally on recent studies with large sample sizes and extended follow-up periods. SUMMARY BACKGROUND DATA: Although numerous studies have examined prognostic factors in patients with breast cancer, relatively few have dealt specifically with node-negative disease, and interpretation has been limited by small sample size and limited follow-up times.
METHODS: A review of the Medline database from 1996 to 2000 was undertaken, with additional papers published before 1996 identified through review articles. For inclusion in the analysis, papers needed to meet the following core criteria: 200 or more node-negative patients with invasive breast carcinoma; median follow-up time at least 5 years; method of testing and cut-off points specified; overall survival and/or disease-free survival specified; and relative risk or statistical probability values given for comparisons.
RESULTS: Three or more papers that met the core criteria were retrieved for each of 11 potential prognostic factors. Of these, tumor size, tumor grade, cathepsin-D, Ki-67, S-phase fraction, mitotic index, and vascular invasion showed a significant association with survival outcomes; HER2/neu and DNA ploidy showed no significant association; and estrogen receptor status and p53 showed mixed results. Lack of standardization in measurement techniques for many of the markers, including cathepsin-D, Ki-67, HER2/neu, and p53, limited their current clinical usefulness.
CONCLUSIONS: In large studies with extended follow-up periods, tumor size, tumor grade, cathepsin-D, Ki-67, S-phase fraction, mitotic index, and vascular invasion showed a significant association with survival outcome measures in patients with early-stage node-negative breast cancer. Because of technical difficulties and variations in the measurement of many of these factors, tumor size and tumor grade remain the only markers that currently have broad clinical usefulness for this patient group.

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Year:  2002        PMID: 11753038      PMCID: PMC1422391          DOI: 10.1097/00000658-200201000-00003

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


  84 in total

1.  The utility of mitotic index, oestrogen receptor and Ki-67 measurements in the creation of novel prognostic indices for node-negative breast cancer.

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Journal:  Eur J Surg Oncol       Date:  1999-08       Impact factor: 4.424

2.  Prognosis of a series of 763 consecutive node-negative invasive breast cancer patients without adjuvant therapy: analysis of clinicopathological prognostic factor.

Authors:  M Saimura; T Fukutomi; H Tsuda; H Sato; K Miyamoto; S Akashi-Tanaka; T Nanasawa
Journal:  J Surg Oncol       Date:  1999-06       Impact factor: 3.454

3.  Correlation between p53, c-erbB-2, and topoisomerase II alpha expression, DNA ploidy, hormonal receptor status and proliferation in 356 node-negative breast carcinomas: prognostic implications.

Authors:  P Rudolph; H Olsson; G Bonatz; V Ratjen; H Bolte; B Baldetorp; M Fernö; R Parwaresch; P Alm
Journal:  J Pathol       Date:  1999-01       Impact factor: 7.996

4.  Comparison of mitotic index, in vitro bromodeoxyuridine labeling, and MIB-1 assays to quantitate proliferation in breast cancer.

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5.  Estrogen receptor status by immunohistochemistry is superior to the ligand-binding assay for predicting response to adjuvant endocrine therapy in breast cancer.

Authors:  J M Harvey; G M Clark; C K Osborne; D C Allred
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9.  Hereditary breast cancer: pathobiology, prognosis, and BRCA1 and BRCA2 gene linkage.

Authors:  J N Marcus; P Watson; D L Page; S A Narod; G M Lenoir; P Tonin; L Linder-Stephenson; G Salerno; T A Conway; H T Lynch
Journal:  Cancer       Date:  1996-02-15       Impact factor: 6.860

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Authors:  P Broët; F Spyratos; S Romain; V Quillien; A Daver; G Ricolleau; A Rallet; C Toulas; B Asselain
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  60 in total

1.  Renewable standard reference material for the detection of TP53 mutations.

Authors:  Catherine D O'Connell; Lois A Tully; Joseph M Devaney; Michael A Marino; John P Jakupciak; Donald H Atha
Journal:  Mol Diagn       Date:  2003

2.  Lymphovascular invasion is associated with poor survival in gastric cancer: an application of gene-expression and tissue array techniques.

Authors:  Bryan J Dicken; Kathryn Graham; Stewart M Hamilton; Sam Andrews; Raymond Lai; Jennifer Listgarten; Gian S Jhangri; L Duncan Saunders; Sambasivarao Damaraju; Carol Cass
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3.  The role of survivin in diagnosis, prognosis and treatment of breast cancer.

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4.  Computer-Assisted Nuclear Atypia Scoring of Breast Cancer: a Preliminary Study.

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5.  Evaluation of tumor markers (HER-2/neu oncoprotein, CEA, and CA 15.3) in patients with locoregional breast cancer: prognostic value.

Authors:  Rafael Molina; Jose M Augé; Jose M Escudero; Xavier Filella; Gabriel Zanon; Jaume Pahisa; Blanca Farrus; Montserrat Muñoz; Martin Velasco
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6.  Modeling the effect of tumor size in early breast cancer.

Authors:  Claire Verschraegen; Vincent Vinh-Hung; Gábor Cserni; Richard Gordon; Melanie E Royce; Georges Vlastos; Patricia Tai; Guy Storme
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7.  Gene expression profiling of metaplastic lineages identifies CDH17 as a prognostic marker in early stage gastric cancer.

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9.  Increased mortality in HER2 positive, oestrogen receptor positive invasive breast cancer: a population-based study.

Authors:  C A Purdie; L Baker; A Ashfield; S Chatterjee; L B Jordan; P Quinlan; D J A Adamson; J A Dewar; A M Thompson
Journal:  Br J Cancer       Date:  2010-07-27       Impact factor: 7.640

10.  Breast cancer subtypes and survival in chinese women with operable primary breast cancer.

Authors:  Zhao-Sheng Li; Lu Yao; Yi-Qiang Liu; Tao Ouyang; Jin-Feng Li; Tian-Feng Wang; Zhao-Qing Fan; Tie Fan; Ben-Yao Lin; Yun-Tao Xie
Journal:  Chin J Cancer Res       Date:  2011-06       Impact factor: 5.087

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