Unknown

Dataset Information

0

Decoding the usefulness of non-coding RNAs as breast cancer markers.


ABSTRACT: Although important advances in the management of breast cancer (BC) have been recently accomplished, it still constitutes the leading cause of cancer death in women worldwide. BC is a heterogeneous and complex disease, making clinical prediction of outcome a very challenging task. In recent years, gene expression profiling emerged as a tool to assist in clinical decision, enabling the identification of genetic signatures that better predict prognosis and response to therapy. Nevertheless, translation to routine practice has been limited by economical and technical reasons and, thus, novel biomarkers, especially those requiring non-invasive or minimally invasive collection procedures, while retaining high sensitivity and specificity might represent a significant development in this field. An increasing amount of evidence demonstrates that non-coding RNAs (ncRNAs), particularly microRNAs (miRNAs) and long noncoding RNAs (lncRNAs), are aberrantly expressed in several cancers, including BC. miRNAs are of particular interest as new, easily accessible, cost-effective and non-invasive tools for precise management of BC patients because they circulate in bodily fluids (e.g., serum and plasma) in a very stable manner, enabling BC assessment and monitoring through liquid biopsies. This review focus on how ncRNAs have the potential to answer present clinical needs in the personalized management of patients with BC and comprehensively describes the state of the art on the role of ncRNAs in the diagnosis, prognosis and prediction of response to therapy in BC.

SUBMITTER: Amorim M 

PROVIDER: S-EPMC5024523 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Decoding the usefulness of non-coding RNAs as breast cancer markers.

Amorim Maria M   Salta Sofia S   Henrique Rui R   Jerónimo Carmen C  

Journal of translational medicine 20160915


Although important advances in the management of breast cancer (BC) have been recently accomplished, it still constitutes the leading cause of cancer death in women worldwide. BC is a heterogeneous and complex disease, making clinical prediction of outcome a very challenging task. In recent years, gene expression profiling emerged as a tool to assist in clinical decision, enabling the identification of genetic signatures that better predict prognosis and response to therapy. Nevertheless, transl  ...[more]

Similar Datasets

| S-EPMC4991477 | biostudies-literature
| S-EPMC8003471 | biostudies-literature
| S-EPMC7072613 | biostudies-literature
| EGAS00001003353 | EGA
| S-EPMC6947989 | biostudies-literature
| S-EPMC7382578 | biostudies-literature
| S-BSST1231 | biostudies-other
| S-EPMC5037763 | biostudies-literature
| S-EPMC8473733 | biostudies-literature
| S-EPMC5011741 | biostudies-literature