Literature DB >> 18035670

Classification and grading of invasive breast carcinoma.

C W Elston1.   

Abstract

The main reasons for applying a classification system to invasive breast carcinoma are to obtain a correlation with prognosis and tumour biology. Invasive carcinomas may be sub-divided morphologically according to their degree of differentiation. This is achieved in two ways, by assessing histological type and histological grade. A wide range of histological patterns is recognised in invasive carcinoma of the breast and four broad prognostic groups are recognised: the excellent prognosis group comprises tubular, cribriform, mucinous carcinomas; the good group tubular mixed, mixed ductal NST/special type and classical lobular carcinoma; the average group mixed lobular, medullary and atypical medullary carcinoma and the poor group is composed of ductal NST, mixed ductal and solid lobular carcinoma understanding of the biology of breast cancer. For example, tumours with a medullary phenotype which express basal cytokeratins and are p53 positive and ER and c-erbB-2 negative are strongly predictive of the BRCA-1 gene-mutation carrier state. Histological grading refers to the semi-quantitative evaluation of the morphological structure of breast carcinomas. In the Nottingham method three characteristics of the tumour are evaluated, glandular differentiation, nuclear pleomorphism and mitotic counts. A numerical scoring system on a scale of 1-3 is used to ensure that each factor is assessed individually. Overall grade is assigned as follows: Grade 1: 3-5 points, Grade 2: 6-7 points, Grade 3: 8-9 points. There is a highly significant relationship between histological grade and prognosis; survival worsens with increasing grade. Histological grading has been shown to have good reproducibility and has been adopted for use in Europe, Australasia and the United States. When combined with pathological tumour size and lymph node stage into the Nottingham Prognostic Index there is excellent stratification for patient management.

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Year:  2005        PMID: 18035670

Source DB:  PubMed          Journal:  Verh Dtsch Ges Pathol        ISSN: 0070-4113


  20 in total

1.  Correlation between minimum apparent diffusion coefficient values and the histological grade of breast invasive ductal carcinoma.

Authors:  Suhong Zhao; Weihua Guo; Ru Tan; Peipei Chen; Zhaohua Li; Fengguo Sun; Guangrui Shao
Journal:  Oncol Lett       Date:  2018-03-23       Impact factor: 2.967

2.  Toponostics of invasive ductal breast carcinoma: combination of spatial protein expression imaging and quantitative proteome signature analysis.

Authors:  Claudia Röwer; Björn Ziems; Anngret Radtke; Oliver Schmitt; Toralf Reimer; Cornelia Koy; Hans-Jürgen Thiesen; Bernd Gerber; Michael O Glocker
Journal:  Int J Clin Exp Pathol       Date:  2011-02-28

3.  Correlation of sonographic features of invasive ductal mammary carcinoma with age, tumor grade, and hormone-receptor status.

Authors:  Michael Aho; Abid Irshad; Susan J Ackerman; Madelene Lewis; Rebecca Leddy; Thomas L Pope; Amy S Campbell; Abbie Cluver; Bethany J Wolf; Joan E Cunningham
Journal:  J Clin Ultrasound       Date:  2012-09-20       Impact factor: 0.910

4.  Pathological features of Breast Cancer seen in Northwestern Tanzania: a nine years retrospective study.

Authors:  Peter F Rambau; Philipo L Chalya; Mange M Manyama; Kahima J Jackson
Journal:  BMC Res Notes       Date:  2011-06-22

5.  Mass spectrometric characterization of protein structure details refines the proteome signature for invasive ductal breast carcinoma.

Authors:  Claudia Röwer; Cornelia Koy; Michael Hecker; Toralf Reimer; Bernd Gerber; Hans-Jürgen Thiesen; Michael O Glocker
Journal:  J Am Soc Mass Spectrom       Date:  2011-02-08       Impact factor: 3.109

6.  Concordance between core needle biopsy and surgical excision for breast cancer tumor grade and biomarkers.

Authors:  Aswin Shanmugalingam; Kerry Hitos; Shrenik Hegde; Ali Al-Mashat; Nirmala Pathmanathan; Senarath Edirimmane; T Michael Hughes; Nicholas K Ngui
Journal:  Breast Cancer Res Treat       Date:  2022-02-28       Impact factor: 4.872

7.  Diffusion magnetic resonance imaging in breast cancer characterisation: correlations between the apparent diffusion coefficient and major prognostic factors.

Authors:  Paolo Belli; Melania Costantini; Enida Bufi; Giuseppe Giovanni Giardina; Pierluigi Rinaldi; Gianluca Franceschini; Lorenzo Bonomo
Journal:  Radiol Med       Date:  2014-08-06       Impact factor: 3.469

8.  The clinical behavior of mixed ductal/lobular carcinoma of the breast: a clinicopathologic analysis.

Authors:  Aparna Suryadevara; Lakshmi P Paruchuri; Nassim Banisaeed; Gary Dunnington; Krishna A Rao
Journal:  World J Surg Oncol       Date:  2010-06-21       Impact factor: 2.754

9.  Ultrasound guided fine-needle aspiration cytology of breast lesions.

Authors:  C Pagani; D R Coscia; C Dellabianca; M Bonardi; S Alessi; F Calliada
Journal:  J Ultrasound       Date:  2011-10-22

10.  Male Breast Cancer: Surgical and Genetic Features and a Multidisciplinary Management Strategy.

Authors:  Francesca Pellini; Eleonora Granuzzo; Silvia Urbani; Sara Mirandola; Marina Caldana; Davide Lombardi; Elena Fiorio; Marta Mandarà; Giovanni Paolo Pollini
Journal:  Breast Care (Basel)       Date:  2019-09-13       Impact factor: 2.860

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