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. 2011 Feb;126(1):185-92.
doi: 10.1007/s10549-010-1113-7. Epub 2010 Aug 14.

Defining breast cancer prognosis based on molecular phenotypes: results from a large cohort study

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Defining breast cancer prognosis based on molecular phenotypes: results from a large cohort study

Shaheenah Dawood et al. Breast Cancer Res Treat. 2011 Feb.

Abstract

The objective of this study is to define the survival outcomes associated with distinct molecular phenotypes defined by immunohistochemical staining of paraffin-embedded tissues among invasive breast cancer cases identified from the Nurses' Health Study (NHS). Tissue microarrays were constructed from archived tissue blocks of women diagnosed with breast cancer in the NHS (1976-1997). Invasive non-metastatic breast cancer tumors (n = 1,945) were classified into 1 of 5 molecular phenotypes based on immunohistochemistry assays for estrogen receptor (ER), progesterone receptor (PR), HER2, cytokeratin (CK) 5/6, epidermal growth factor receptor (EGFR) and grade. Survival outcomes were estimated using the Kaplan-Meier product limit method. Cox-proportional hazards models were fitted to determine the association of molecular phenotype with survival outcomes after adjusting for covariates. 1,279 (65.8%) tumors were classified as luminal A, 279 (14.3%) as luminal B, 95 (4.9%) as HER2 type, 203 (10.4%) as basal-like and 89 (4.6%) tumors were unclassified. The 5-year breast cancer-specific survival estimates for women with luminal A, luminal B, HER2-type, basal-like and unclassified tumors were 96, 88, 81, 89 and 85%, respectively. In the multivariable model, compared to cases with luminal A tumors, cases with luminal B (HR 1.90, 95% CI 1.33-2.71), HER2-type (HR 1.36, 95% CI 0.87-2.12), basal-like (HR 1.58, 95% CI 1.05-2.39) and unclassified (HR 1.38, 95% CI 0.87-2.20) tumors had higher hazard of breast cancer death. Similar trends were observed for both overall and recurrence-free survival. In conclusion, compared to women who have luminal A tumors those with luminal B, HER2-type, basal-like and unclassified tumors had a worse prognosis, when tumor subtype was defined by immunohistochemistry. This method may provide a cost-effective means of determining prognosis in the clinical setting.

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Conflict of interest statement

Conflict of interest The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Kaplan–Meier plots for breast cancer-specific survival by molecular phenotype among invasive breast cancer identified from the Nurses’ Health Study (P < 0.0001)

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References

    1. Sorlie T, Perou CM, Tibshirani R, et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci USA. 2001;98:10869–10874. - PMC - PubMed
    1. Sorlie T, Tibshirani R, Parker J, et al. Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc Natl Acad Sci USA. 2001;100:8418–8423. - PMC - PubMed
    1. Van’t Veer LJ, Dai H, van de Vijver MJ, et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature (Lond.) 2002;415:530–536. - PubMed
    1. Sotiriou C, Neo SY, McShane LM, et al. Breast cancer classification and prognosis based on gene expression profiles from a population based study. Proc Natl Acad Sci USA. 2003;100:10393–10398. - PMC - PubMed
    1. Hu Z, Fan C, Oh DS, et al. The molecular portraits of breast tumors are conserved across microarray platforms. BMC Genomics. 2006;7:96. - PMC - PubMed

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