Background: This retrospective study and meta-analysis was designed to explore the relationship between E-cadherin (E-cad) expression and the molecular subtypes of invasive non-lobular breast cancer, especially in early-stage invasive ductal carcinoma (IDC). Methods: A total of 156 post-operative cases of early-stage IDCs were retrospectively collected for the immunohistochemistry (IHC) detection of E-cad expression. The association of E-cad expression with molecular subtypes of early-stage IDCs was analyzed. A literature search was conducted in March 2016 to retrieve publications on E-cad expression in association with molecular subtypes of invasive non-lobular breast cancer, and a meta-analysis was performed to estimate the relational statistics. Results: E-cad was expressed in 82.7% (129/156) of early-stage IDCs. E-cad expression was closely associated with the molecular types of early-stage IDCs (P<0.050); moreover, the molecular subtypes were an independent factor influencing E-cad expression in early-stage IDCs. A total of 12 observational studies (including our study) were included in the meta-analysis. The meta-analytical results show a significantly greater risk of E-cad expression loss in triple-negative breast cancer (TNBC) than in other molecular subtypes (TNBC vs. luminal A: RR=3.45, 95% CI=2.79-4.26; TNBC vs. luminal B: RR=2.41, 95% CI=1.49-3.90; TNBC vs. HER2-enriched: RR=1.95, 95% CI=1.24-3.07). Conclusions: Early-stage IDCs or invasive non-lobular breast cancers with the TNBC molecular phenotype have a higher risk for the loss of E-cad expression than do tumors with non-TNBC molecular phenotypes, suggesting that E-cad expression phenotypes were closely related to molecular subtypes and further studies are needed to clarify the underlying mechanism.
CITATION STYLE
Liu, J. B., Feng, C. Y., Deng, M., Ge, D. F., Liu, D. C., Mi, J. Q., & Feng, X. S. (2017). E-cadherin expression phenotypes associated with molecular subtypes in invasive non-lobular breast cancer: Evidence from a retrospective study and meta-analysis. World Journal of Surgical Oncology, 15(1). https://doi.org/10.1186/s12957-017-1210-8
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