Lnc2Cancer, is a manually curated database that provides comprehensive experimentally supported associations between lncRNA or circRNA and human cancer. The current version of Lnc2Cancer documents 10,346 entries of associations between 2,775 human lncRNAs, 743 circRNAs and 226 human cancer subtypes through review of more than 1,5000 published papers. Lnc2Cancer also provide experimentally supported regulatory mechanism (microRNA, Transcription factor, variant, methylation and enhancer), biological function (cell growth, apoptosis, autophagy, Epithelial mesenchymal transformation, immune and coding ability) and clinical application (metastasis, recurrence, circulating, drug-resistant and prognostic) of lncRNAs in human cancer. Especially, an interactive analysis platform including RNA and single cell sequencing expression data is development to help users explore lncRNAs in cancers with a standard processing pipeline.
New Features
Exceeding nearly 4500 lncRNA-cancer entries over the previous version. The current release recruits 9,307 lncRNA-cancer associations with 2,775 lncRNAs and 226 cancer subtypes.
Newly adding about 1,049 experimentally supported circRNA-cancer associations with 743 circRNAs and 70 human cancer subtypes.
Newly adding about experimentally supported regulatory mechanisms section of cancer-related lncRNAs and circRNAs including microRNA, Transcription factor, variant, methylation and enhancer.
Appending about the experimentally supported biological function section of cancer-related lncRNAs and circRNAs including cell growth, apoptosis, autophagy, Epithelial mesenchymal transformation, immune and coding ability.
Adding about experimentally supported clinical application section of cancer-related lncRNAs and circRNAs including metastasis, recurrence, circulating, drug-resistance and prognosis.
Newly providing an interactive analysis platform for users to compute and visualization interested lncRNAs in cancers.
Newly adding a single cell analysis platform for exploring lncRNAs in cancers.
Copyright © College of Bioinformatics Science and Technology, Harbin Medical University, China.