Subtyping of Breast Cancer by Immunohistochemistry to Investigate a Relationship between Subtype and Short and Long Term Survival: A Collaborative...

Abstract

The six subtypes of breast cancer defined by expression of five markers show distinct behaviours with important differences in short term and long term prognosis. Application of these markers in the clinical setting could have the potential to improve the targeting of adjuvant chemotherapy to those most likely to benefit. The different patterns of mortality over time also suggest important biological differences between the subtypes that may result in differences in response to specific therapies, and that stratification of breast cancers by clinically relevant subtypes in clinical trials is urgently required.

Keywords

Breast cancerImmunohistochemistrySubtypingCytokeratinOncologyInternal medicineHormone receptorProgesterone receptorCancerBasal (medicine)BiologyEpidermal growth factor receptorPathologyMedicineEstrogen receptor

MeSH Terms

AdultAgedAged80 and overBiomarkersTumorBreast NeoplasmsErbB ReceptorsFemaleHormonesHumansImmunohistochemistryKeratinsMiddle AgedPrognosisProportional Hazards ModelsReceptorsCell SurfaceYoung Adult

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Publication Info

Year: 2010
Type: review
Volume: 7
Issue: 5
Pages: e1000279-e1000279
Citations: 1136
Access: Closed

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APA Style

                            
                                
                                    Fiona M. Blows, 
                                
                                    Kristy Driver, 
                                
                                    Marjanka K. Schmidt
                                
                                et al.
                            
                            (2010). 
                            Subtyping of Breast Cancer by Immunohistochemistry to Investigate a Relationship between Subtype and Short and Long Term Survival: A Collaborative Analysis of Data for 10,159 Cases from 12 Studies. 
                            PLoS Medicine
                            , 7
                            (5)
                            , e1000279-e1000279.
                            https://doi.org/10.1371/journal.pmed.1000279
                        

Identifiers

DOI: 10.1371/journal.pmed.1000279
PMID: 20520800
PMCID: PMC2876119

Data Quality

Data completeness: 86%