a catalog of biological databases
|Description:||a web-accessible and comprehensive open resource for providing the expression landscape of six type of RNAs, including messenger RNAs(mRNAs), Long non-coding RNAs(lncRNAs), microRNAs(miRNAs), circular RNAs(circRNAs), tRNA derived fragments(tRFRNAs) and Piwi-interacting RNAs(piRNAs) in 7184 samples including 5040 blood samples such as extracellular vesicles (EVs) and circulating tumor cells (CTCs) from normal persons or cancer patients of 15 cancer types.|
|University/Institution:||Sun Yat-sen University|
|Address:||School of Life Sciences, Cancer Center, Sun Yat-sen University, Guangzhou 510060, China|
|Contact name (PI/Team):||Jian Ren|
|Contact email (PI/Helpdesk):||email@example.com|
BBCancer: an expression atlas of blood-based biomarkers in the early diagnosis of cancers. [PMID: 31665503]
The early detection of cancer holds the key to combat and control the increasing global burden of cancer morbidity and mortality. Blood-based screenings using circulating DNAs (ctDNAs), circulating RNA (ctRNAs), circulating tumor cells (CTCs) and extracellular vesicles (EVs) have shown promising prospects in the early detection of cancer. Recent high-throughput gene expression profiling of blood samples from cancer patients has provided a valuable resource for developing new biomarkers for the early detection of cancer. However, a well-organized online repository for these blood-based high-throughput gene expression data is still not available. Here, we present BBCancer (http://bbcancer.renlab.org/), a web-accessible and comprehensive open resource for providing the expression landscape of six types of RNAs, including messenger RNAs (mRNAs), long noncoding RNAs (lncRNAs), microRNAs (miRNAs), circular RNAs (circRNAs), tRNA-derived fragments (tRFRNAs) and Piwi-interacting RNAs (piRNAs) in blood samples, including plasma, CTCs and EVs, from cancer patients with various cancer types. Currently, BBCancer contains expression data of the six RNA types from 5040 normal and tumor blood samples across 15 cancer types. We believe this database will serve as a powerful platform for developing blood biomarkers.