Integrative Genomic Analyses Yield Cell-Cycle Regulatory Programs with Prognostic Value.

ABSTRACT:

Unlabelled

Liposarcoma is the second most common form of sarcoma, which has been categorized into four molecular subtypes, which are associated with differential prognosis of patients. However, the transcriptional regulatory programs associated with distinct histologic and molecular subtypes of liposarcoma have not been investigated. This study uses integrative analyses to systematically define the transcriptional regulatory programs associated with liposarcoma. Likewise, computational methods are used to identify regulatory programs associated with different liposarcoma subtypes, as well as programs that are predictive of prognosis. Further analysis of curated gene sets was used to identify prognostic gene signatures. The integration of data from a variety of sources, including ge

SUBMITTER: Cheng C 

PROVIDER: S-EPMC5033644 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature