ReviewJournal of mammary gland biology and neoplasia2003
Interrogating mouse mammary cancer models: insights from gene expression profiling.
Review in Journal of mammary gland biology and neoplasia, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Molecular characterization of the Ggamma-globin-Tag transgenic mouse model of hormone refractory prostate cancer: comparison to human prostate cancer.The Prostate · 2010Article
- Effects of FVB/NJ and C57Bl/6J strain backgrounds on mammary tumor phenotype in inducible nitric oxide synthase deficient mice.Transgenic research · 2007Article
- Multistep mouse mammary tumorigenesis through pre-neoplasia to neoplasia and acquisition of metastatic potential.Medical molecular morphology · 2007Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Numerous mouse models for mammary cancer have been developed and characterized based upon their biological, molecular, and histopathological features. In an effort to dissect the molecular anatomy of such models and compare their gene expression profiles to those of human breast cancer, six models representing various oncogenic pathways have been investigated using cDNA microarray technology. Results of these analyses are presented and discussed in the context of technological challenges presented by analyzing data on such a large scale. Further expression profiling coupled with emerging proteomic technologies will more completely define and distinguish mouse models of mammary cancer from each other and provide a comprehensive basis for comparing such models with the human disease they are intended to represent.
Indexed as
Identifiers
14973376What 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.