Database Commons

a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database Profile

General information

Full name:
Description: Lnc2Cancer, is a manually curated database that provides comprehensive experimentally supported associations between lncRNA and human cancer. The current version of Lnc2Cancer documents 1,057 entries of associations between 531 human lncRNAs and 86 human cancers through review of more than 1,500 published papers.
Year founded: 2015
Last update: 2016-01-25
Version: v1.0
Real time : Checking...
Country/Region: China
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Contact information

University/Institution: Harbin Medical University
Address: Harbin 150081, China
City: Harbin
Country/Region: China
Contact name (PI/Team): Xia Li
Contact email (PI/Helpdesk):


Lnc2Cancer v2.0: updated database of experimentally supported long non-coding RNAs in human cancers. [PMID: 30407549]
Gao Y, Wang P, Wang Y, Ma X, Zhi H, Zhou D, Li X, Fang Y, Shen W, Xu Y, Shang S, Wang L, Wang L, Ning S, Li X.

Lnc2Cancer 2.0 ( 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.

Nucleic Acids Res. 2019:47(D1) | 55 Citations (from Europe PMC, 2021-06-19)
Lnc2Cancer: a manually curated database of experimentally supported lncRNAs associated with various human cancers. [PMID: 26481356]
Ning S, Zhang J, Wang P, Zhi H, Wang J, Liu Y, Gao Y, Guo M, Yue M, Wang L, Li X.

Lnc2Cancer ( is a manually curated database of cancer-associated long non-coding RNAs (lncRNAs) with experimental support that aims to provide a high-quality and integrated resource for exploring lncRNA deregulation in various human cancers. LncRNAs represent a large category of functional RNA molecules that play a significant role in human cancers. A curated collection and summary of deregulated lncRNAs in cancer is essential to thoroughly understand the mechanisms and functions of lncRNAs. Here, we developed the Lnc2Cancer database, which contains 1057 manually curated associations between 531 lncRNAs and 86 human cancers. Each association includes lncRNA and cancer name, the lncRNA expression pattern, experimental techniques, a brief functional description, the original reference and additional annotation information. Lnc2Cancer provides a user-friendly interface to conveniently browse, retrieve and download data. Lnc2Cancer also offers a submission page for researchers to submit newly validated lncRNA-cancer associations. With the rapidly increasing interest in lncRNAs, Lnc2Cancer will significantly improve our understanding of lncRNA deregulation in cancer and has the potential to be a timely and valuable resource. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2016:44(D1) | 133 Citations (from Europe PMC, 2021-06-19)


All databases:
238/5061 (95.317%)
Health and medicine:
54/1067 (95.033%)
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Record metadata

Created on: 2016-01-17
Curated by:
Dong Zou [2019-01-04]
Lina Ma [2018-06-01]
Chunlei Yu [2016-04-01]
lin liu [2016-01-27]