You are here

Home

Cancer/Tumor

Structuring osteosarcoma knowledge

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

Osteosarcoma (OS) is the most common primary bone cancer exhibiting high genomic instability. This genomic instability affects multiple genes and microRNAs to a varying extent depending on patient and tumor subtype. Massive research is ongoing to identify genes including their gene products and microRNAs that correlate with disease progression and might be used as biomarkers for OS. However, the genomic complexity hampers the identification of reliable biomarkers.

Rating: 
Average: 5 (1 vote)

iSubgraph

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

The high tumor heterogeneity makes it very challenging to identify key tumorigenic pathways as therapeutic targets. The integration of multiple omics data is a promising approach to identify driving regulatory networks in patient subgroups. Here, we propose a novel conceptual framework to discover patterns of miRNA-gene networks, observed frequently up- or down-regulated in a group of patients and to use such networks for patient stratification in hepatocellular carcinoma (HCC).

Rating: 
Average: 5 (1 vote)

decodeRNA

Submitted by ChenLiang on Tue, 01/09/2018 - 17:45

Although the long non-coding RNA (lncRNA) landscape is expanding rapidly, only a small number of lncRNAs have been functionally annotated. Here, we present decodeRNA (http://www.decoderna.org), a database providing functional contexts for both human lncRNAs and microRNAs in 29 cancer and 12 normal tissue types.

Rating: 
Average: 5 (1 vote)

Lethal microRNA database

Submitted by ChenLiang on Tue, 01/09/2018 - 18:33

Micro-RNAs (miRNAs) are potent regulators of gene expression and cellular phenotype. Each miRNA has the potential to target hundreds of transcripts within the cell thus controlling fundamental cellular processes such as survival and proliferation. Here, we exploit this important feature of miRNA networks to discover vulnerabilities in cancer phenotype, and map miRNA-target relationships across different cancer types.

Rating: 
Average: 5 (1 vote)

gbCRC

Submitted by ChenLiang on Sun, 01/08/2017 - 16:53

Colorectal cancer (CRC) is a cancer of growing incidence that associates with a high mortality rate worldwide. There is a poor understanding of the heterogeneity of CRC with regard to causative genetic mutations and gene regulatory mechanisms. Previous studies have identified several susceptibility genes in small-scale experiments. However, the information has not been comprehensively and systematically compiled and interpreted. In this study, we constructed the gbCRC, the first literature-based gene resource for investigating CRC-related human genes.

Rating: 
5
Average: 5 (2 votes)

MIRUMIR

Submitted by ChenLiang on Tue, 01/09/2018 - 19:19

Abstract is not available.[1]

 

 

 

 

Rating: 
Average: 5 (1 vote)

RCDB

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

Renal cell carcinoma or RCC is one of the common and most lethal urological cancers, with 40% of the patients succumbing to death because of metastatic progression of the disease. Treatment of metastatic RCC remains highly challenging because of its resistance to chemotherapy as well as radiotherapy, besides surgical resection. Whereas RCC comprises tumors with differing histological types, clear cell RCC remains the most common.

Rating: 
Average: 5 (1 vote)

miRsig

Submitted by ChenLiang on Mon, 01/09/2017 - 11:48

Decoding the patterns of miRNA regulation in diseases are important to properly realize its potential in diagnostic, prog- nostic, and therapeutic applications. Only a handful of studies computationally predict possible miRNA-miRNA interactions; hence, such interactions require a thorough investigation to understand their role in disease progression.

Rating: 
Average: 5 (1 vote)

miCancerna

Submitted by ChenLiang on Tue, 01/09/2018 - 19:19

Associating microRNAs (miRNAs) with cancers is an important step of understanding the mechanisms of cancer pathogenesis and finding novel biomarkers for cancer therapies. In this study, we constructed a miRNA-cancer association network (miCancerna) based on more than 1,000 miRNA-cancer associations detected from millions of abstracts with the text-mining method, including 226 miRNA families and 20 common cancers.

Rating: 
5
Average: 5 (2 votes)

IGDB.NSCLC

Submitted by ChenLiang on Fri, 09/02/2016 - 21:59

Lung cancer is the most common cause of cancer-related mortality with more than 1.4 million deaths per year worldwide. To search for significant somatic alterations in lung cancer, we analyzed, integrated and manually curated various data sets and literatures to present an integrated genomic database of non-small cell lung cancer (IGDB.NSCLC, http://igdb.nsclc.ibms.sinica.edu.tw).

Rating: 
Average: 5 (1 vote)

Pages

Subscribe to Cancer/Tumor