Journal
CANCER RESEARCH
Volume 75, Issue 18, Pages 3728-3737Publisher
AMER ASSOC CANCER RESEARCH
DOI: 10.1158/0008-5472.CAN-15-0273
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Funding
- NIH [CA143883, CA175486]
- NIH (MD Anderson Cancer Center Support Grant) [P30 CA016672]
- R. Lee Clark Fellow Award from The Jeanne F. Shelby Scholarship Fund
- Cancer Prevention and Research Institute of Texas [RP140462]
- Mary K. Chapman Foundation
- Lorraine Dell Program in Bioinformatics for Personalization of Cancer Medicine
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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. (C) 2015 AACR.
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