ArticleNucleic acids research2005
Conserved transcription factor binding sites of cancer markers derived from primary lung adenocarcinoma microarrays.
Article in Nucleic acids research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Asymmetric microarray data produces gene lists highly predictive of research literature on multiple cancer types.BMC bioinformatics · 2010Pooled it
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- The imbalance in the complement system and its possible physiological mechanisms in patients with lung cancer.BMC cancer · 2019Article
- Differentially expressed microRNAs in lung adenocarcinoma invert effects of copy number aberrations of prognostic genes.Oncotarget · 2018Article
- Construction of protein interaction network involved in lung adenocarcinomas using a novel algorithm.Oncology letters · 2016Article
- Elevated C1orf63 expression is correlated with CDK10 and predicts better outcome for advanced breast cancers: a retrospective study.BMC cancer · 2015Article
- Concordance of deregulated mechanisms unveiled in underpowered experiments: PTBP1 knockdown case study.BMC medical genomics · 2014Article
- Hidden treasures in "ancient" microarrays: gene-expression portrays biology and potential resistance pathways of major lung cancer subtypes and normal tissue.Frontiers in oncology · 2014Article
- Identification of novel deregulated RNA metabolism-related genes in non-small cell lung cancer.PloS one · 2012Article
- Small interfering RNA against transcription factor STAT6 leads to increased cholesterol synthesis in lung cancer cell lines.PloS one · 2011Article
- Gene expression profiling and network analysis reveals lipid and steroid metabolism to be the most favored by TNFalpha in HepG2 cells.PloS one · 2010Article
- A benchmark for statistical microarray data analysis that preserves actual biological and technical variance.BMC bioinformatics · 2010Article
- Identification of importin 8 (IPO8) as the most accurate reference gene for the clinicopathological analysis of lung specimens.BMC molecular biology · 2008Article
- Identification of transcription factor and microRNA binding sites in responsible to fetal alcohol syndrome.BMC genomics · 2008Article
- CRSD: a comprehensive web server for composite regulatory signature discovery.Nucleic acids research · 2006Article
- Topology-based cancer classification and related pathway mining using microarray data.Nucleic acids research · 2006Article
- Gfi1 coordinates epigenetic repression of p21Cip/WAF1 by recruitment of histone lysine methyltransferase G9a and histone deacetylase 1.Molecular and cellular biology · 2005Article
- 'N-of-1-pathways' unveils personal deregulated mechanisms from a single pair of RNA-Seq samples: towards precision medicine.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
- Erratum issuedLam, David CL [added]; Girard, L [added]; Wang, Elaine [added]; Chiu, SW [added]; Chung, Lap Ping [added]; Lam, WK [added]; Minna, John D [added]
Authors and funding
14 authors.
Funding
Abstract
Gene transcription in a set of 49 human primary lung adenocarcinomas and 9 normal lung tissue samples was examined using Affymetrix GeneChip technology. A total of 3442 genes, called the set M AD, were found to be either up- or down-regulated by at least 2-fold between the two phenotypes. Genes assigned to a particular gene ontology term were found, in many cases, to be significantly unevenly distributed between the genes in and outside M AD. Terms that were overrepresented in M AD included functions directly implicated in the cancer cell metabolism. Based on their functional roles and expression profiles, genes in M AD were grouped into likely co-regulated gene sets. Highly conserved sequences in the 5 kb region upstream of the genes in these sets were identified with the motif discovery tool, MoDEL. Potential oncogenic transcription factors and their corresponding binding sites were identified in these conserved regions using the TRANSFAC 8.3 database. Several of the transcription factors identified in this study have been shown elsewhere to be involved in oncogenic processes. This study searched beyond phenotypic gene expression profiles in cancer cells, in order to identify the more important regulatory transcription factors that caused these aberrations in gene expression.
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