Literature DB >> 8522285

Pathological prognostic factors in breast cancer. IV: Should you be a typer or a grader? A comparative study of two histological prognostic features in operable breast carcinoma.

H Pereira1, S E Pinder, D M Sibbering, M H Galea, C W Elston, R W Blamey, J F Robertson, I O Ellis.   

Abstract

In a study of 1529 patients with primary operable breast carcinoma we have assessed the effect of applying both histological grade and tumour type to determine their comparative value as prognostic factors in human breast cancer. The prognostic group the patient was placed in, based on histological type alone, was less accurate than using grade and type together for many tumours. The importance of performing histological grading of ductal/no special type carcinoma (50% of the women in this series) is confirmed in this series. The 10-year-survival varied from 76% for women with grade 1 carcinoma to 39% for those with grade 3 tumours. Some of the 'special types' of breast carcinoma including tubular, tubulo-lobular, invasive cribriform and grade 1 mucinous carcinomas behaved as would be predicted, with a greater than 80% 10-year-survival in this series. Others, including grade 2 mucinous carcinomas, however, behaved less well with a 60% to 80% 10-year-survival. Indeed, many of the histological tumour types including tubular mixed, ductal/no special type, mixed ductal with special type and lobular carcinomas of classical, solid or mixed types showed a variation in behaviour that could not be predicted by typing alone. Histological grade and tumour type, when used together, more accurately predicted prognosis. In multivariate analysis of a larger group of 2658 cases of primary breast carcinomas (including the 1529 study cases) when histological grade, lymph node status and tumour size were entered, grade was the most important factor in predicting for survival.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1995        PMID: 8522285     DOI: 10.1111/j.1365-2559.1995.tb00213.x

Source DB:  PubMed          Journal:  Histopathology        ISSN: 0309-0167            Impact factor:   5.087


  24 in total

Review 1.  The basic pathology of human breast cancer.

Authors:  E Mallon; P Osin; N Nasiri; I Blain; B Howard; B Gusterson
Journal:  J Mammary Gland Biol Neoplasia       Date:  2000-04       Impact factor: 2.673

Review 2.  Histological types of breast cancer: how special are they?

Authors:  Britta Weigelt; Felipe C Geyer; Jorge S Reis-Filho
Journal:  Mol Oncol       Date:  2010-04-18       Impact factor: 6.603

Review 3.  Preoperative assessment of prognostic factors in breast cancer.

Authors:  H Denley; S E Pinder; C W Elston; A H Lee; I O Ellis
Journal:  J Clin Pathol       Date:  2001-01       Impact factor: 3.411

4.  Accuracy of typing and grading invasive mammary carcinomas on core needle biopsy compared with the excisional specimen.

Authors:  Victor Piana de Andrade; Helenice Gobbi
Journal:  Virchows Arch       Date:  2004-10-08       Impact factor: 4.064

Review 5.  [Lobular neoplasms and invasive lobular breast cancer].

Authors:  H-P Sinn; B Helmchen; J Heil; S Aulmann
Journal:  Pathologe       Date:  2014-02       Impact factor: 1.011

6.  Role of Plasma D-Dimer Levels in Breast Cancer Patients and Its Correlation with Clinical and Histopathological Stage.

Authors:  Harish S; Raxith Sringeri R; Sarath Chandra P
Journal:  Indian J Surg Oncol       Date:  2017-08-08

7.  Immutable functional attributes of histologic grade revealed by context-independent gene expression in primary breast cancer cells.

Authors:  Shanaz H Dairkee; Aejaz Sayeed; Gloria Luciani; Stacey Champion; Zhenhang Meng; Lakshmi R Jakkula; Heidi S Feiler; Joe W Gray; Dan H Moore
Journal:  Cancer Res       Date:  2009-09-29       Impact factor: 12.701

8.  Comprehensive Histologic Scoring to Maximize the Predictability of Pathology-generated Equation of Breast Cancer Oncotype DX Recurrence Score.

Authors:  Thaer Khoury; Xiao Huang; Xiwei Chen; Dan Wang; Song Liu; Mateusz Opyrchal
Journal:  Appl Immunohistochem Mol Morphol       Date:  2016 Nov/Dec

9.  Coagulation tests show significant differences in patients with breast cancer.

Authors:  Faruk Tas; Leyla Kilic; Derya Duranyildiz
Journal:  Tumour Biol       Date:  2014-03-05

10.  Prediction of the Oncotype DX recurrence score: use of pathology-generated equations derived by linear regression analysis.

Authors:  Molly E Klein; David J Dabbs; Yongli Shuai; Adam M Brufsky; Rachel Jankowitz; Shannon L Puhalla; Rohit Bhargava
Journal:  Mod Pathol       Date:  2013-03-15       Impact factor: 7.842

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