Literature DB >> 10419704

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

P C Clahsen1, C J van de Velde, C Duval, C Pallud, A M Mandard, A Delobelle-Deroide, L van den Broek, M J van de Vijver.   

Abstract

INTRODUCTION: Prognostic factors can be useful to identify node-negative patients at increased risk of relapse who should receive adjuvant treatment. In the past, oestrogen receptor status and mitotic index have been shown to be significant predictors of prognosis. Different techniques for the measurement of these prognostic factors are available.
METHODS: Paraffin-embedded tumour specimens from 441 pre-menopausal patients with node-negative breast cancer who were previously randomized onto a trial comparing peri-operative chemotherapy with no further therapy were studied. Oestrogen receptor status was determined by the classical biochemical assay and by immunohistochemistry (ER-IA). Mitotic index was assessed by counting the number of mitoses and by calculating the percentage of tumour cells positively staining for the antibody Ki-67.
RESULTS: There was a good correlation between ER-IA and the biochemical ER-assay (P<0.01), and the percentage of Ki-67 positive tumour cells and mitotic counts (P<0.01) respectively. However, ER-IA significantly predicted disease-free survival (RR=2.67, 95% CI: 1.60-4.44, P<0.01) whereas the biochemical assay was only borderline significant (RR=1.54, 95% CI: 1.00-2.36, P=0.05). Similarly, Ki-67 was a stronger indicator of prognosis (RR=2.84, 95% CI: 1.80-4.48, P<0.01) than mitotic counts (RR=1.56, 95% CI: 1.22-2. 00, P<0.01).
CONCLUSIONS: We conclude that ER-IA performs better in predicting prognosis than the classical biochemical oestrogen receptor assay. Ki-67 is a more accurate marker for tumour cell proliferation and predicts prognosis of patients with breast cancer better than do mitotic counts. Copyright 1999 W.B. Saunders Company Ltd.

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Year:  1999        PMID: 10419704     DOI: 10.1053/ejso.1999.0657

Source DB:  PubMed          Journal:  Eur J Surg Oncol        ISSN: 0748-7983            Impact factor:   4.424


  22 in total

1.  Steroid receptor status, proliferation and metallothionein expression in primary invasive ductal breast cancers.

Authors:  Paweł Surowiak; Piotr Paluchowski; Teresa Wysocka; Andrzej Wojnar; Maciej Zabel
Journal:  Pathol Oncol Res       Date:  2004-12-27       Impact factor: 3.201

Review 2.  Prognostic factors in node-negative breast cancer: a review of studies with sample size more than 200 and follow-up more than 5 years.

Authors:  Attiqa N Mirza; Nadeem Q Mirza; Georges Vlastos; S Eva Singletary
Journal:  Ann Surg       Date:  2002-01       Impact factor: 12.969

3.  Suppressor of cytokine signalling 2 (SOCS-2) expression in breast carcinoma.

Authors:  F Farabegoli; C Ceccarelli; D Santini; M Taffurelli
Journal:  J Clin Pathol       Date:  2005-10       Impact factor: 3.411

4.  Regional differences in breast cancer biomarkers in american Indian and Alaska native women.

Authors:  Judith S Kaur; Robert A Vierkant; Timothy Hobday; Daniel Visscher
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-03       Impact factor: 4.254

Review 5.  Molecular Subtypes and Local-Regional Control of Breast Cancer.

Authors:  Simona Maria Fragomeni; Andrew Sciallis; Jacqueline S Jeruss
Journal:  Surg Oncol Clin N Am       Date:  2018-01       Impact factor: 3.495

6.  Ki-67 as a prognostic marker according to breast cancer subtype and a predictor of recurrence time in primary breast cancer.

Authors:  Reiki Nishimura; Tomofumi Osako; Yasuhiro Okumura; Mitsuhiro Hayashi; Yasuo Toyozumi; Nobuyuki Arima
Journal:  Exp Ther Med       Date:  2010-07-21       Impact factor: 2.447

7.  Luminal breast cancer classification according to proliferative indices: clinicopathological characteristics and short-term survival analysis.

Authors:  Yan Sun; Gang Nie; Zhimin Wei; Zhidong Lv; Xiaoyi Liu; Haibo Wang
Journal:  Med Oncol       Date:  2014-06-17       Impact factor: 3.064

8.  Prognostic and predictive value of centrally reviewed Ki-67 labeling index in postmenopausal women with endocrine-responsive breast cancer: results from Breast International Group Trial 1-98 comparing adjuvant tamoxifen with letrozole.

Authors:  Giuseppe Viale; Anita Giobbie-Hurder; Meredith M Regan; Alan S Coates; Mauro G Mastropasqua; Patrizia Dell'Orto; Eugenio Maiorano; Gaëtan MacGrogan; Stephen G Braye; Christian Ohlschlegel; Patrick Neven; Zsolt Orosz; Wojciech P Olszewski; Fiona Knox; Beat Thürlimann; Karen N Price; Monica Castiglione-Gertsch; Richard D Gelber; Barry A Gusterson; Aron Goldhirsch
Journal:  J Clin Oncol       Date:  2008-11-03       Impact factor: 44.544

9.  Protein expression profile and prevalence pattern of the molecular classes of breast cancer--a Saudi population based study.

Authors:  Dalal M Al Tamimi; Mohamed A Shawarby; Ayesha Ahmed; Ammar K Hassan; Amal A AlOdaini
Journal:  BMC Cancer       Date:  2010-05-21       Impact factor: 4.430

10.  Grading invasive ductal carcinoma of the breast: advantages of using automated proliferation index instead of mitotic count.

Authors:  Ossama Tawfik; Bruce F Kimler; Marilyn Davis; Christopher Stasik; Sue-Min Lai; Matthew S Mayo; Fang Fan; John K Donahue; Ivan Damjanov; Patricia Thomas; Carol Connor; William R Jewell; Holly Smith; Carol J Fabian
Journal:  Virchows Arch       Date:  2007-04-26       Impact factor: 4.064

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