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lnCAR
1.0
A comprehensive resource for lncRNAs from Cancer Arrays
ID:10012Uploader:Yueyuan
2021.09.10
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Abstract
Long noncoding RNAs (lncRNA) have emerged as promising biomarkers in cancer diagnosis, treatment, and prognosis. Recent studies suggest that a large number of coding gene expression microarray probes could be reannotated as lncRNAs. Microarray, once the most cutting-edge high-throughput gene expression technology, has been used for thousands of cancer studies and has brought invaluable resources for studying the functions of lncRNA in cancer development. However, a comprehensive lncRNA resource based on microarray data is still lacking. Here, we present lnCAR (lncRNAs from cancer arrays), a comprehensive open resource for providing expression profiles and prognostic landscape of lncRNAs derived from reannotation of public microarray data. Currently, lnCAR contains 52,300 samples for differential expression analysis and 12,883 samples for survival analysis from 10 cancer types. lnCAR allows users to interactively explore any annotated or novel lncRNAs. We believe lnCAR will serve as a valuable resource for the community focused on lncRNA research in cancer. SIGNIFICANCE: lnCAR, a new interactive tool of reannotated public cancer-related microarray data, provides expression profiles and prognostic landscapes of lncRNAs across thousands of samples and multiple cancer types.
Publication
lnCAR: A Comprehensive Resource for lncRNAs from Cancer Arrays
lnCAR: A Comprehensive Resource for lncRNAs from Cancer Arrays. 2019
Cited by 65 articles
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Breast Cancer Cells Reprogram the Oncogenic lncRNAs/mRNAs Coexpression Networks in Three-Dimensional Microenvironment
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Documentation
The rapid update of genomic information over the past years has suggested that a large portion of probes can be re-annotated for interrogating lncRNA expression. lnCAR is a comprehensive database that specifically dedicated to display differential expression profiles and prognostic landscape in human cancers by re-annotating microarray probes. At present, there are 10 cancer types and more than 54,000 samples collected in lnCAR (bladder cancer, breast cancer, cervical cancer, colorectal cancer, esophageal tumor, gastric cancer, liver cancer, lung cancer, ovarian cancer and prostatic cancer). Differential expression analysis, survival analysis, co-expression analysis, KEGG pathway enrichment analysis, ceRNA analysis and meta-analysis were integrated to explore the function of interested lncRNAs (including annotated lncRNAs or any user-defined ones). In addition to basic transcript information, structure and conservative score, we also integrated low-throughput data, such as real-time PCR and northern blot, into lnCAR as validation datasets. Furthermore, multiple statistical diagrams are also embedded in the web server for visualizing the analysis results. Please visit https://lncar.renlab.org/help for further information.
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