Name
Abstract | ||
|---|---|---|
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). We collected data sets derived from hundreds of human NSCLC (lung adenocarcinomas and/or squamous cell carcinomas) to illustrate genomic alterations [chromosomal regions with copy number alterations (CNAs), gain/loss and loss of heterozygosity], aberrant expressed genes and microRNAs, somatic mutations and experimental evidence and clinical information of alterations retrieved from literatures. IGDB. NSCLC provides user friendly interfaces and searching functions to display multiple layers of evidence especially emphasizing on concordant alterations of CNAs with co-localized altered gene expression, aberrant microRNAs expression, somatic mutations or genes with associated clinicopathological features. These significant concordant alterations in NSCLC are graphically or tabularly presented to facilitate and prioritize as the putative cancer targets for pathological and mechanistic studies of lung tumorigenesis and for developing new strategies in clinical interventions. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1093/nar/gkr1183 | NUCLEIC ACIDS RESEARCH |
Keywords | Field | DocType |
genetic variation,micrornas,mutation,genomics,systems integration,gene expression profiling | Lung cancer,Carcinogenesis,Biology,microRNA,Somatic cell,Loss of heterozygosity,Bioinformatics,Genetics,Cancer,Gene expression profiling,Database,Mutation | Journal |
Volume | Issue | ISSN |
40 | D1 | 0305-1048 |
Citations | PageRank | References |
2 | 0.50 | 6 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sen Kao | 1 | 2 | 0.50 |
| Cheng-Kai Shiau | 2 | 11 | 2.20 |
| De-Leung Gu | 3 | 31 | 1.47 |
| Chun-Ming Ho | 4 | 2 | 1.18 |
| Wen-Hui Su | 5 | 11 | 2.37 |
| Chian-Feng Chen | 6 | 4 | 0.92 |
| Chi-Hung Lin | 7 | 217 | 34.67 |
| Yuh-Shan Jou | 8 | 24 | 3.07 |