Literature DB >> 7496595

Quantitative histopathology in lymph node-negative breast cancer. Prognostic significance of mitotic counts.

M Ladekarl1, V Jensen.   

Abstract

Reliable prognostic factors are needed to improve the stratification of patients with lymph node-negative breast cancer to different therapy modalities. We investigated the prognostic value of quantitative histopathology in a retrospective study of 98 "low-risk" breast cancer patients (T1+2N0M0) with a median follow-up of 9 years. An interactive video system and stereological and morphometric techniques were used to obtain estimates of four nuclear features (mean volume, mean profile area, volume fraction, and profile density), and two mitotic counts [mitotic profile frequency (MF) and mitotic profile density (MD)]. All measurements were performed in fields of vision sampled systematically from the whole tumour area of a routine histological section. Histological grade, histological type, and oestrogen receptor (ER) status was reassessed, whereas tumour diameter and age at diagnosis were recorded from the files. We found that all quantitative histopathological variables and ER status were correlated with histological grade. Single-factor prognostic analyses showed a highly significant value of MF (2p = 0.001) and a marginally significant value of MD (2p = 0.09), whereas no other variable approached statistical significance (2p > or = 0.25). In a multivariate Cox analysis, MF was the only parameter of significant independent prognostic value (2p = 0.03). Thus, the prognostic value of nuclear features found in previous studies could not be reproduced, whereas the marked value of mitotic counts for prediction of the outcome in patients with breast cancer was confirmed. Mitotic counts are easily obtained and may be of clinical value for identification of high-risk cases among patients with lymph node-negative breast cancer.

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Year:  1995        PMID: 7496595     DOI: 10.1007/bf00203393

Source DB:  PubMed          Journal:  Virchows Arch        ISSN: 0945-6317            Impact factor:   4.064


  38 in total

1.  Pathologic correlates of survival in 378 lymph node-negative infiltrating ductal breast carcinomas. Mitotic count is the best single predictor.

Authors:  F Clayton
Journal:  Cancer       Date:  1991-09-15       Impact factor: 6.860

2.  Danish Breast Cancer Cooperative Group (DBCG). A description of the register of the nation-wide programme for primary breast cancer.

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Journal:  Acta Oncol       Date:  1988       Impact factor: 4.089

3.  Prognostic factors in axillary lymph node-negative (pN-) breast carcinomas.

Authors:  S Aaltomaa; P Lipponen; M Eskelinen; V M Kosma; S Marin; E Alhava; K Syrjänen
Journal:  Eur J Cancer       Date:  1991       Impact factor: 9.162

4.  Prognostic, quantitative histopathologic variables in lobular carcinoma of the breast.

Authors:  M Ladekarl; F B Sørensen
Journal:  Cancer       Date:  1993-11-01       Impact factor: 6.860

5.  The impact of mitotic index on predicting outcome in breast carcinoma: a comparison of different counting methods in patients with different lymph node status.

Authors:  G J Laroye; S Minkin
Journal:  Mod Pathol       Date:  1991-07       Impact factor: 7.842

6.  Correlation of estrogen and progesterone receptors with histologic differentiation in mammary carcinoma.

Authors:  K S McCarty; T K Barton; B F Fetter; B H Woodard; J A Mossler; W Reeves; J Daly; W E Wilkinson; K S McCarty
Journal:  Cancer       Date:  1980-12-15       Impact factor: 6.860

7.  The influence of tissue processing on quantitative histopathology in breast cancer.

Authors:  M Ladekarl
Journal:  J Microsc       Date:  1994-05       Impact factor: 1.758

8.  Analysis of reproducibility of subjective grading systems for breast carcinoma.

Authors:  B Stenkvist; S Westman-Naeser; J Vegelius; J Holmquist; B Nordin; E Bengtsson; O Eriksson
Journal:  J Clin Pathol       Date:  1979-10       Impact factor: 3.411

9.  Mitotic frequency as a prognostic factor in breast cancer.

Authors:  S Biesterfeld; I Noll; E Noll; D Wohltmann; A Böcking
Journal:  Hum Pathol       Date:  1995-01       Impact factor: 3.466

10.  Intralaboratory variations in the grading of breast carcinoma.

Authors:  G S Delides; G Garas; G Georgouli; D Jiortziotis; J Lecca; T Liva; J Elemenoglou
Journal:  Arch Pathol Lab Med       Date:  1982-03       Impact factor: 5.534

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  2 in total

Review 1.  Prognostic value of proliferation in invasive breast cancer: a review.

Authors:  P J van Diest; E van der Wall; J P A Baak
Journal:  J Clin Pathol       Date:  2004-07       Impact factor: 3.411

2.  Proliferative activity in Libyan breast cancer with comparison to European and Central African patients.

Authors:  Jamela Boder; Fathi Abdalla; Mohamed Elfagieh; Abdelbaset Buhmeida; Yrjö Collan
Journal:  Biomed Res Int       Date:  2013-09-11       Impact factor: 3.411

  2 in total

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