The Breast cancer Imunophenotypes in Correlation with Classical Morphological Parameters as a Predictive Model for Recurrenec Risk

Jasar, Dzengis and Kubelka-Sabit, Katerina and Petrova, Deva and Filipovski, Vanja (2018) The Breast cancer Imunophenotypes in Correlation with Classical Morphological Parameters as a Predictive Model for Recurrenec Risk. In: The XXXII Congress of the International Academy of Pathology, 14.10.2018 - 18.10.2018, King Hussein Bin Talal Convention Centre, Dead Sea, Jordan.

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Abstract

Objective: Breast cancer is the most commonly diagnosed cancer in women
worldwide characterized by molecular and clinical heterogeneity that results with
multiple intrinsic tumor subtypes. The aim of this study was to evaluate the
occurrence of relapses in the different immunophenotypes of breast cancer (BC)
associated with different histomorphological parameters.
Methods: The retrospective population study included 173 breast cancer patients
diagnosed between 2007 and 2010 in our hospital. Molecular subtype classification
was performed on immunohistochemical surrogates for estrogen (ER) and
progesterone receptor (PR), as well as for proliferation index determined with Ki-
67 antibody and Human Epidermal Growth Factor receptor 2 (HER-2), according to
St. Gallen International Expert Consensus recommendations from 2013. During the
follow-up period (min.12,2, max. 75,3, mean 46,6+16,6 months), recurrences were
observed in 35 (20,2%). BC immunophenotypes and classic histomorphological
and clinical parameters were analyzed in terms of disease free survival (DFS) in a
multivariate fashion using a Cox regression model.
Results: Our results showed that proportions of breast cancer immunophenotypes
were: Luminal A-26,56%; Luminal B-41.67%; HER2+ 18,75% and Triple-negative-
13,02%. In the Univariate analyses there was a significant difference in the
distribution of age, tumor diameter, mitotic index, lympho-nodal ratio, Nottingham
Prognostic Index (NPI), stage of the disease, Ki67 PI and the bcl-2 overexpression
at the diagnosis among the four BC immunophenotypes. In the the multivariate
analyses, the age of the patients, the tumor diameter and the stage of the disease
were represented as independent prognostic factors of recurrent disease in
different BC immunophenotypes.
Conclusion: The prognostic value of breast cancer immunophenotypes persists
when adjusting the age, the tumor diameter and the stage of the disease, as clinical
parameters. This “morphologic-molecular” model was robust in relapse prediction
and recurrence risk stratified by traditional prognostic parameters.

Item Type:	Conference or Workshop Item (Poster)
Subjects:	Medical and Health Sciences > Basic medicine Medical and Health Sciences > Clinical medicine
Divisions:	Faculty of Medical Science
Depositing User:	Vanja Filipovski
Date Deposited:	06 Dec 2021 08:22
Last Modified:	06 Dec 2021 08:22
URI:	https://eprints.ugd.edu.mk/id/eprint/28880

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