ArticleCurrent genomics2010
Discovering tumor suppressor genes through genome-wide copy number analysis.
Article in Current genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Review
- Microsatellite Alterations and Protein Expression of 5 Major Tumor Suppressor Genes in Gastric Adenocarcinomas.Translational oncology · 2018Article
- Cancer stem cell marker CD90 inhibits ovarian cancer formation via β3 integrin.International journal of oncology · 2016Article
- Management of familial cancer: sequencing, surveillance and society.Nature reviews. Clinical oncology · 2014Review
- Integrated analysis of transcriptomic and proteomic data.Current genomics · 2013Article
- Cell-specific processing and release of the hormone-like precursor and candidate tumor suppressor gene product, Ecrg4.Cell and tissue research · 2012Article
- Lrig1 is an estrogen-regulated growth suppressor and correlates with longer relapse-free survival in ERα-positive breast cancer.Molecular cancer research : MCR · 2011Article
- Frequent loss of the BLID gene in early-onset breast cancer.Cytogenetic and genome research · 2011Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Classical tumor suppressor gene discovery has largely involved linkage analysis and loss-of-heterozygosity (LOH) screens, followed by detailed mapping of relatively large chromosomal regions. Subsequent efforts made use of genome-wide PCR-based methods to detect rare homozygous deletions. More recently, high-resolution genomic arrays have been applied to cancer gene discovery. However, accurate characterization of regions of genomic loss is particularly challenging due to sample heterogeneity, the small size of deleted regions and the high frequency of germline copy number polymorphisms. Here, we review the application of genome-wide copy number analysis to the specific problem of identifying tumor suppressor genes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.