| Literature DB >> 26208906 |
Jun Li1, Leng Han1, Paul Roebuck1, Lixia Diao1, Lingxiang Liu2, Yuan Yuan1, John N Weinstein3, Han Liang4.
Abstract
Long noncoding RNAs (lncRNA) have emerged as essential players in cancer biology. Using recent large-scale RNA-seq datasets, especially those from The Cancer Genome Atlas (TCGA), we have developed "The Atlas of Noncoding RNAs in Cancer" (TANRIC; http://bioinformatics.mdanderson.org/main/TANRIC:Overview), a user-friendly, open-access web resource for interactive exploration of lncRNAs in cancer. It characterizes the expression profiles of lncRNAs in large patient cohorts of 20 cancer types, including TCGA and independent datasets (>8,000 samples overall). TANRIC enables researchers to rapidly and intuitively analyze lncRNAs of interest (annotated lncRNAs or any user-defined ones) in the context of clinical and other molecular data, both within and across tumor types. Using TANRIC, we have identified a large number of lncRNAs with potential biomedical significance, many of which show strong correlations with established therapeutic targets and biomarkers across tumor types or with drug sensitivity across cell lines. TANRIC represents a valuable tool for investigating the function and clinical relevance of lncRNAs in cancer, greatly facilitating lncRNA-related biologic discoveries and clinical applications. ©2015 American Association for Cancer Research.Entities:
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Year: 2015 PMID: 26208906 PMCID: PMC4573884 DOI: 10.1158/0008-5472.CAN-15-0273
Source DB: PubMed Journal: Cancer Res ISSN: 0008-5472 Impact factor: 12.701