Lnc2Cancer v2.0: updated database of experimentally supported long non-coding RNAs in human cancers

• Published in: Nucleic acids research 2019-01, Vol.47 (D1), p.D1028-D1033
• Main Authors: Gao, Yue, Wang, Peng, Wang, Yanxia, Ma, Xueyan, Zhi, Hui, Zhou, Dianshuang, Li, Xin, Fang, Ying, Shen, Weitao, Xu, Yingqi, Shang, Shipeng, Wang, Lihua, Wang, Li, Ning, Shangwei, Li, Xia
• Format: Article
• Language: English
• Subjects: Data Management - methods; Database Issue; Databases, Genetic; Gene Expression Regulation, Neoplastic; Humans; Internet; MicroRNAs - genetics; Neoplasms - classification; Neoplasms - diagnosis; Neoplasms - genetics; RNA, Long Noncoding - genetics; Software; Transcription Factors - genetics
• ISSN: 0305-1048; 1362-4962
• DOI: 10.1093/nar/gky1096

Abstract Lnc2Cancer 2.0 (http://www.bio-bigdata.net/lnc2cancer) is an updated database that provides comprehensive experimentally supported associations between lncRNAs and human cancers. In Lnc2Cancer 2.0, we have updated the database with more data and several new features, including (i) exceeding a 4-fold increase over the previous version, recruiting 4989 lncRNA-cancer associations between 1614 lncRNAs and 165 cancer subtypes. (ii) newly adding about 800 experimentally supported circulating, drug-resistant and prognostic-related lncRNAs in various cancers. (iii) appending the regulatory mechanism of lncRNA in cancer, including microRNA (miRNA), transcription factor (TF), variant and methylation regulation. (iv) increasing more than 70 high-throughput experiments (microarray and next-generation sequencing) of lncRNAs in cancers. (v) Scoring the associations between lncRNA and cancer to evaluate the correlations. (vi) updating the annotation information of lncRNAs (version 28) and containing more detailed descriptions for lncRNAs and cancers. Moreover, a newly designed, user-friendly interface was also developed to provide a convenient platform for users. In particular, the functions of browsing data by cancer primary organ, biomarker type and regulatory mechanism, advanced search following several features and filtering the data by LncRNA-Cancer score were enhanced. Lnc2Cancer 2.0 will be a useful resource platform for further understanding the associations between lncRNA and human cancer.