2006
DOI: 10.1634/theoncologist.11-8-868
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Molecular Classification of Breast Cancer: Limitations and Potential

Abstract: Reverse transcription polymerase chain reaction and DNA microarrays are increasingly used in the clinic and in clinical research as prognostic or predictive tests. Results from these tests led to novel risk stratification methods and to new molecular classification of breast cancer. Some of these tools already complement existing diagnostic tests and can aid medical decision making in some situations. Better understanding of the molecular classes of breast cancer, independent of their prognostic and predictive… Show more

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Cited by 176 publications
(155 citation statements)
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“…In the present study, we have investigated the frequency of individual and combined molecular subtypes of BC in a cohort of 115 Saudi women, based on IHC of ER, PR and Her-2/neu as a well-established method for classification (Pusztai et al, 2006;Pusztai, 2008). The immunostaining results of ER, PR and Her-2/neu in this study are in agreement with similar recent studies (Andrade et al, 2014;Elesawy et al, 2014).…”
Section: Discussionsupporting
confidence: 90%
See 1 more Smart Citation
“…In the present study, we have investigated the frequency of individual and combined molecular subtypes of BC in a cohort of 115 Saudi women, based on IHC of ER, PR and Her-2/neu as a well-established method for classification (Pusztai et al, 2006;Pusztai, 2008). The immunostaining results of ER, PR and Her-2/neu in this study are in agreement with similar recent studies (Andrade et al, 2014;Elesawy et al, 2014).…”
Section: Discussionsupporting
confidence: 90%
“…Thus the recent BC research has now diverted from histological classification towards molecular classification. Development of new classifications based on immunohistochemical, genetic and molecular findings are subsequently in evolution (Pusztai et al, 2006;Pusztai, 2008).…”
Section: Introductionmentioning
confidence: 99%
“…The breast cancer specific survival in these patients correlated with hormone receptor status of the tumors for both HER-2-negative and HER-2-positive tumors. This has been confirmed in various ethnic populations [25][26][27][28][29][30]. Therefore, they can be used to estimate the prevalence of the five intrinsic subtypes in epidemiological studies without loss of their prognostic significance [22,25,31].…”
Section: Introductionmentioning
confidence: 70%
“…Still, the power of these complex predictive models is at best moderate: patients may be undertreated or overtreated. Ultimately, we are unable to reliably predict the true binary outcome of recurrence versus no recurrence at the level of the individual, as these clinicopathological guidelines do not capture the rich molecular heterogeneity of the malignancy and are by no means able to pinpoint the exact clinical behaviour of breast tumors [6].…”
Section: Introductionmentioning
confidence: 99%