Unknown

Dataset Information

Predictive and Prognostic Value of Selected MicroRNAs in Luminal Breast Cancer.


ABSTRACT: Breast cancer (BrC) is the most frequent malignancy and the leading cause of cancer death among women worldwide. Approximately 70% of BrC are classified as luminal-like subtype, expressing the estrogen receptor. One of the most common and effective adjuvant therapies for this BrC subtype is endocrine therapy. However, its effectiveness is limited, with relapse occurring in up to 40% of patients. Because microRNAs have been associated with several mechanisms underlying endocrine resistance and sensitivity, they may serve as predictive and/or prognostic biomarkers in this setting. Hence, the main goal of this study was to investigate whether miRNAs deregulated in endocrine-resistant BrC may be clinically relevant as prognostic and predictive biomarkers in patients treated with adjuvant endoc

SUBMITTER: Amorim M 

PROVIDER: S-EPMC6749838 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature