Literature DB >> 9568179

Comparison of the prognostic value of Scarff-Bloom-Richardson and Nottingham histological grades in a series of 825 cases of breast cancer: major importance of the mitotic count as a component of both grading systems.

C Genestie1, B Zafrani, B Asselain, A Fourquet, S Rozan, P Validire, A Vincent-Salomon, X Sastre-Garau.   

Abstract

The most commonly used system in Europe for breast carcinoma was developed by Scarff, Bloom and Richardson (SBR). It was recently modified by Elston and Ellis and significant improvement in reproducibility has been shown by using precise grading guidelines. This study investigated whether the use of this new grade (defined as the Nottingham grade, NG) would improve the prognostic stratification of patients. The respective prognostic value of the two grading schemes was compared in a retrospective series of 825 patients uniformly treated for a small invasive breast carcinoma and followed for a median of 6 years. Univariate and multivariate analysis showed that both histological grades were strongly correlated to overall and metastasis free survival. We have separately analysed the prognostic value of each of the three components used to assess the two grading systems and found that the mitotic index was the only significant prognostic factor for 5 year survival. Univariate analysis showed the count to be more discriminant in the NG scheme (p = 0.0006) than in the SBR scheme (p = 0.04). However, in univariate and multivariate analysis, the prognostic value of the global NG was not significantly better than SBR grade. This may be related, in part, to an uneven distribution of cases reflected by a much lower number of cases with a high mitotic index in the NG system (2%) than in the SBR system (10%). Our study emphasizes the importance of the mitotic count in assessing the prognosis of breast cancers and indicates that the factors which condition this count (tissue processing, microscopic observation, threshold) must be well standardized and controlled.

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Year:  1998        PMID: 9568179

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  36 in total

1.  A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images.

Authors:  Andrew Janowczyk; Scott Doyle; Hannah Gilmore; Anant Madabhushi
Journal:  Comput Methods Biomech Biomed Eng Imaging Vis       Date:  2016-04-28

2.  Capturing and characterizing immune cells from breast tumor microenvironment: an innovative surgical approach.

Authors:  Mohamed El-Shinawi; Sayed F Abdelwahab; Maha Sobhy; Mohamed A Nouh; Bonnie F Sloane; Mona Mostafa Mohamed
Journal:  Ann Surg Oncol       Date:  2010-03-24       Impact factor: 5.344

Review 3.  Computer-Aided Histopathological Image Analysis Techniques for Automated Nuclear Atypia Scoring of Breast Cancer: a Review.

Authors:  Asha Das; Madhu S Nair; S David Peter
Journal:  J Digit Imaging       Date:  2020-10       Impact factor: 4.056

4.  Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features.

Authors:  Haibo Wang; Angel Cruz-Roa; Ajay Basavanhally; Hannah Gilmore; Natalie Shih; Mike Feldman; John Tomaszewski; Fabio Gonzalez; Anant Madabhushi
Journal:  J Med Imaging (Bellingham)       Date:  2014-10-10

Review 5.  Clinical management of breast cancer heterogeneity.

Authors:  Dimitrios Zardavas; Alexandre Irrthum; Charles Swanton; Martine Piccart
Journal:  Nat Rev Clin Oncol       Date:  2015-04-21       Impact factor: 66.675

6.  Cytokines secreted by macrophages isolated from tumor microenvironment of inflammatory breast cancer patients possess chemotactic properties.

Authors:  Mona M Mohamed; Eslam A El-Ghonaimy; Mohamed A Nouh; Robert J Schneider; Bonnie F Sloane; Mohamed El-Shinawi
Journal:  Int J Biochem Cell Biol       Date:  2013-11-26       Impact factor: 5.085

Review 7.  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

8.  Factors Associated with (18)F-Fluorodeoxyglucose Uptake in T1 and T2 Invasive Ductal Carcinoma of the Breast.

Authors:  So Jung Kim; Seong-Jang Kim; In Joo Kim; Kyoungjune Pak; Bum Soo Kim; Seunghyeon Shin
Journal:  Nucl Med Mol Imaging       Date:  2016-03-23

9.  Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slides.

Authors:  Ajay Basavanhally; Shridar Ganesan; Michael Feldman; Natalie Shih; Carolyn Mies; John Tomaszewski; Anant Madabhushi
Journal:  IEEE Trans Biomed Eng       Date:  2013-02-05       Impact factor: 4.538

10.  Tumor microenvironment of metastasis and risk of distant metastasis of breast cancer.

Authors:  Thomas E Rohan; Xiaonan Xue; Hung-Mo Lin; Timothy M D'Alfonso; Paula S Ginter; Maja H Oktay; Brian D Robinson; Mindy Ginsberg; Frank B Gertler; Andrew G Glass; Joseph A Sparano; John S Condeelis; Joan G Jones
Journal:  J Natl Cancer Inst       Date:  2014-06-03       Impact factor: 13.506

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