Unknown

Dataset Information

MicroRNA signatures differentiate uterine cancer tumor subtypes.


ABSTRACT:

Objective

Endometrial cancer (EC) is the most common gynecologic malignancy. Type I EC has a favorable prognosis, while type II ECs account for half of all treatment failures. Little knowledge of the biological differences is available to predict EC outcomes besides their pathological distinctions. MicroRNAs (miRNA) are a family of non-translated RNAs important in regulating oncogenic pathways. Mis-expression patterns of miRNAs in EC, as well as differences in miRNA expression patterns between the subtypes of EC, has not been previously evaluated. Our purpose was to identify miRNA profiles of EC subtypes, and to identify miRNAs associated with these subtypes to ultimately understand the different biological behavior between these subtypes.

Methods

Ninety-five fresh/frozen an

SUBMITTER: Ratner ES 

PROVIDER: S-EPMC2918705 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Sorry, this publication's infomation has not been loaded in the Indexer, please go directly to PUBMED or Altmetric.

Similar Datasets