Unknown

Dataset Information

0

The miR-200 family in ovarian cancer.


ABSTRACT: Ovarian cancer (OC) is the most lethal gynecological malignancy. Its insidious nature, manifesting with little to no symptoms until the disease progresses to metastasis, along with a wide diversity of histological subtypes and corresponding clinical behavior, poses significant therapeutic challenges. The genetic profiling of this aggressive tumor and its subtypes has led to the identification of various molecular markers of prognosis. Among these, the miR-200 family of miRNAs appears to play an important role. The deregulated expression of the miR-200 family members has been detected in a variety of OC studies. The present review examines the potential usefulness of the miR-200 family members as prognostic indicators in ovarian cancer and their impact across different OC publications, with a particular focus on prognostic features, such as disease stage, tumor histology, survival and response to chemotherapy. We present the potential usefulness of the miR-200 family genes as prognostic indicators in OC and highlight the tendency that miR-200 overexpression corresponds with an advanced cancer stage.

SUBMITTER: Koutsaki M 

PROVIDER: S-EPMC5630443 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

The miR-200 family in ovarian cancer.

Koutsaki Maria M   Libra Massimo M   Spandidos Demetrios A DA   Zaravinos Apostolos A  

Oncotarget 20170602 39


Ovarian cancer (OC) is the most lethal gynecological malignancy. Its insidious nature, manifesting with little to no symptoms until the disease progresses to metastasis, along with a wide diversity of histological subtypes and corresponding clinical behavior, poses significant therapeutic challenges. The genetic profiling of this aggressive tumor and its subtypes has led to the identification of various molecular markers of prognosis. Among these, the miR-200 family of miRNAs appears to play an  ...[more]

Similar Datasets

2011-09-15 | GSE27977 | GEO
2011-09-14 | E-GEOD-27977 | biostudies-arrayexpress
| S-EPMC7859396 | biostudies-literature
| S-EPMC3904438 | biostudies-literature
| S-EPMC3542279 | biostudies-literature
| S-EPMC8724006 | biostudies-literature
| S-EPMC4890021 | biostudies-literature
| S-EPMC6133642 | biostudies-literature