2018
DOI: 10.5493/wjem.v8.i1.1
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Predictive markers of endocrine response in breast cancer

Abstract: Ongoing clinical and research efforts seek to optimise the use of endocrine therapy in the treatment of breast cancer. Accurate biomarkers are needed that predict response for individual patients. The presence of the estrogen receptor (ER) as the direct (for tamoxifen and fulvestrant) or indirect (for aromatase inhibitors) target molecule for endocrine therapy remains the foremost biomarker and determinant of response. However, ER expression only poorly predicts outcome and further indicators of response or re… Show more

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Cited by 21 publications
(15 citation statements)
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“…The expression of the progesterone receptor (PR) is highly estrogen-dependent and has, therefore, been linked to endocrine therapy sensitivity prediction [41]. We found high expression levels of RB1, BCL11A, and KRT5 in patients diagnosed with PR-negative tumors, which might suggest their participation in endocrine resistance in some luminal cases.…”
Section: Discussionmentioning
confidence: 80%
“…The expression of the progesterone receptor (PR) is highly estrogen-dependent and has, therefore, been linked to endocrine therapy sensitivity prediction [41]. We found high expression levels of RB1, BCL11A, and KRT5 in patients diagnosed with PR-negative tumors, which might suggest their participation in endocrine resistance in some luminal cases.…”
Section: Discussionmentioning
confidence: 80%
“…Nevertheless, breast cancer patients may acquire resistance to antiestrogenic drugs complicating treatment. On the other hand, the existence of more complex and undiscovered signaling pathways beyond estrogen receptors appears to control cancer progression (33,34). Thereby, the use of tamoxifen on breast cancer patients with initial GPER-1 positive tumors increased GPER-1 protein expression and markedly reduced survival (20).…”
Section: Discussionmentioning
confidence: 99%
“…The grid was kept in an inverted state and a drop of the prepared formulation was applied to the grid for 10s. were obtained using the DECON program from the PCG software package 5,6 (Anton Paar, Austria).…”
Section: Size and Morphological Analysismentioning
confidence: 99%