Literature DB >> 16865079

The limited prognostic value of measuring and grading small invasive breast carcinomas: the whole sick lobe versus the details within it.

Tibor Tot1.   

Abstract

Although tumor size and grade are well-established prognostic parameters in unselected series or in advanced cases of invasive breast carcinoma, studying their prognostic value in small invasive carcinomas has generated variable results. The significance of these parameters was recently questioned in three large studies on invasive carcinomas less than 15 mm in size, in which neither grade nor size were found to be independent prognostic parameters. Two of these studies were carried out on material of our institution and evidenced the outstanding prognostic significance of a radiological parameter (presence of casting type microcalcifications) in these tumors, challenging the traditional approach in breast pathology in which conventional morphologic prognostic parameters are clearly insufficient to explain these results. In the present article we discuss the practical difficulties in measuring and grading invasive breast carcinomas to point out the disturbing lack of wide international consensus considering the optimal assessment of these parameters, contributing to discordant results in the reviewed studies. We also present the unifying concept of the theory of the sick lobe which, by shifting the focus from the debated details of measuring and grading towards the judgement of the pattern of tumoral growth, offers alternative morphologic prognostic parameters which fulfill the needs of a modern interdisciplinary approach to diagnosing small breast carcinomas.

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Year:  2006        PMID: 16865079

Source DB:  PubMed          Journal:  Med Sci Monit        ISSN: 1234-1010


  6 in total

1.  The distribution of lesions in 1-14-mm invasive breast carcinomas and its relation to metastatic potential.

Authors:  Tibor Tot; Gyula Pekár; Syster Hofmeyer; Thomas Sollie; Mária Gere; Miklós Tarján
Journal:  Virchows Arch       Date:  2009-07-21       Impact factor: 4.064

2.  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

Review 3.  Radiological-pathological correlation in diagnosing breast carcinoma: the role of pathology in the multimodality era.

Authors:  Tibor Tot; Maria Gere
Journal:  Pathol Oncol Res       Date:  2008-06-03       Impact factor: 3.201

4.  Should Histologic Grade Be Incorporated into the TNM Classification System for Small (T1, T2) Node-Negative Breast Adenocarcinomas?

Authors:  Mathew Purdom; Michael L Cibull; Terry D Stratton; Luis M Samayoa; Edward H Romond; Patrick C McGrath; Rouzan G Karabakhtsian
Journal:  Patholog Res Int       Date:  2010-10-26

5.  Imaging Biomarkers as Predictors for Breast Cancer Death.

Authors:  Wendy Yi-Ying Wu; Laszlo Tabar; Tibor Tot; Ching-Yuan Fann; Amy Ming-Fang Yen; Sam Li-Sheng Chen; Sherry Yueh-Hsia Chiu; May Mei-Sheng Ku; Chen-Yang Hsu; Kerri R Beckmann; Robert A Smith; Stephen W Duffy; Hsiu-Hsi Chen
Journal:  J Oncol       Date:  2019-04-10       Impact factor: 4.375

6.  A Proposal to Unify the Classification of Breast and Prostate Cancers Based on the Anatomic Site of Cancer Origin and on Long-term Patient Outcome.

Authors:  László Tabár; Peter B Dean; Amy M-F Yen; Miklós Tarján; Sherry Y-H Chiu; Sam L-S Chen; Jean C-Y Fann; Tony H-H Chen
Journal:  Breast Cancer (Auckl)       Date:  2014-02-25
  6 in total

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