{"doi":"10.1093/nar/gkaa915","title":"CNCDatabase: a database of non-coding cancer drivers","abstract":"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.","journal":"Nucleic Acids Research","year":2020,"id":71783,"datarank":0.6155540922367213,"base_score":2.8903717578961645,"endowment":2.8903717578961645,"self_citation_contribution":0.4335557636844247,"citation_network_contribution":0.18199832855229658,"self_endowment_contribution":0.4335557636844247,"citer_contribution":0.18199832855229658,"corpus_percentile":67.91212191537093,"corpus_rank":4149,"citation_count":17,"citer_count":13,"citers_with_citation_signal":11,"citers_with_endowment":11,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.9524,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":14306,"name":"Alexander Martinez‐Fundichely","orcid":"0000-0002-7660-5511","position":1,"is_corresponding":false},{"id":379959,"name":"Rajesh Bollapragada","orcid":null,"position":2,"is_corresponding":false},{"id":379960,"name":"Maurice Spiewack","orcid":null,"position":3,"is_corresponding":false},{"id":13116,"name":"Ekta Khurana","orcid":"0000-0002-4351-7566","position":4,"is_corresponding":false},{"id":13129,"name":"Eric Minwei Liu","orcid":"0000-0002-3594-6678","position":0,"is_corresponding":true}],"reference_count":18,"raw_metadata":null,"created_at":"2026-07-18T21:44:25.469842Z","pmid":"33095860","pmcid":"PMC7778916","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}