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CNCDatabase: a database of non-coding cancer drivers.

Authors:
Eric Minwei Liu Alexander Martinez-Fundichely Rajesh Bollapragada Maurice Spiewack Ekta Khurana

Nucleic Acids Res 2021 01;49(D1):D1094-D1101

Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10065, USA.

Most mutations in cancer genomes occur in the non-coding regions with unknown impact on tumor development. Although the increase in the number of cancer whole-genome sequences has revealed numerous putative non-coding cancer drivers, their information is dispersed across multiple studies making it difficult to understand their roles in tumorigenesis of different cancer types. We have developed CNCDatabase, Cornell Non-coding Cancer driver Database (https://cncdatabase.med.cornell.edu/) that contains detailed information about predicted non-coding drivers at gene promoters, 5' and 3' UTRs (untranslated regions), enhancers, CTCF insulators and non-coding RNAs. CNCDatabase documents 1111 protein-coding genes and 90 non-coding RNAs with reported drivers in their non-coding regions from 32 cancer types by computational predictions of positive selection using whole-genome sequences; differential gene expression in samples with and without mutations; or another set of experimental validations including luciferase reporter assays and genome editing. The database can be easily modified and scaled as lists of non-coding drivers are revised in the community with larger whole-genome sequencing studies, CRISPR screens and further experimental validations. Overall, CNCDatabase provides a helpful resource for researchers to explore the pathological role of non-coding alterations in human cancers.

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http://dx.doi.org/10.1093/nar/gkaa915DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778916PMC
January 2021

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