ReviewBiochimica et biophysica acta2009
Cancer gene discovery in mouse and man.
Review in Biochimica et biophysica acta, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 19 citations in OpenAlex.
- Rodent models of tumours of the central nervous system.Molecular oncology · 2024Review
- Sleeping Beauty Mouse Models of Cancer: Microenvironmental Influences on Cancer Genetics.Frontiers in oncology · 2019Review
- Cancer gene discovery: exploiting insertional mutagenesis.Molecular cancer research : MCR · 2013Review
- A protocol for genetic induction and visualization of benign and invasive tumors in cephalic complexes of Drosophila melanogaster.Journal of visualized experiments : JoVE · 2013Article
- Identification of a neuronal transcription factor network involved in medulloblastoma development.Acta neuropathologica communications · 2013Article
- RanBPM expression regulates transcriptional pathways involved in development and tumorigenesis.American journal of cancer research · 2012Article
- Understanding kidney disease: toward the integration of regulatory networks across species.Seminars in nephrology · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
The elucidation of the human and mouse genome sequence and developments in high-throughput genome analysis, and in computational tools, have made it possible to profile entire cancer genomes. In parallel with these advances mouse models of cancer have evolved into a powerful tool for cancer gene discovery. Here we discuss the approaches that may be used for cancer gene identification in both human and mouse and discuss how a cross-species 'oncogenomics' approach to cancer gene discovery represents a powerful strategy for finding genes that drive tumourigenesis.
Indexed as
Identifiers
What OpenQuestion holds
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.