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Updated: Mar 15, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
[New prognostic and predictive markers for breast cancer]
1Pathologisches Institut, Universitätsklinikum Erlangen, Krankenhausstr. 8-10, 91054, Erlangen, Deutschland. david.wachter@uk-erlangen.de.
Abstract:
Breast cancer can be divided into four molecular subtypes with different prognoses using immunohistochemical markers in the routine clinicopathological work-up. The protein Ki-67 is of central importance in this context, in particular to distinguish between luminal A and luminal B carcinomas. Determination of the Ki-67 index of a carcinoma also allows a prediction of the likelihood of the response to chemotherapy. Additionally, the expression of certain cytokeratins in tumor cells is associated with a poor response to chemotherapy. The heterogeneity of molecular subtypes with regard to the histological appearance indicates an even greater diversity of breast cancer. We were able to show that a high proportion of luminal B carcinomas display neuroendocrine differentiation. Further studies with particular emphasis on histomorphological criteria should be performed to attain a more accurate classification of breast cancer and to pave the way towards targeted therapies for a better prognosis in the future.

