ArticleMolecular and cellular probes2010
Disease progression and solid tumor survival: a transcriptome decoherence model.
Article in Molecular and cellular probes, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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
4 citing papers in PubMed.
- Energy Medicine: Current Status and Future Perspectives.Global advances in health and medicine · 2019Article
- Evaluation of the effectiveness of semen storage and sperm purification methods for spermatozoa transcript profiling.Systems biology in reproductive medicine · 2013Article
- The sperm nucleus: chromatin, RNA, and the nuclear matrix.Reproduction (Cambridge, England) · 2011Review
- The role of the blood transcriptome in innate inflammation and stroke.Annals of the New York Academy of Sciences · 2010Review
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Authors and funding
5 authors.
Funding
Abstract
Networks of genes are typically generated from expression changes observed between control and test conditions. Nevertheless, within a single control state many genes show expression variance across biological replicates. These transcripts, typically termed unstable, are usually excluded from analyses because their behavior cannot be reconciled with biological constraints. Grouped as pairs of covariant genes they can however show a consistent response to the progression of a disease. We present a model of coherence arising from sets of covariant genes that was developed in-vitro then tested against a range of solid tumors. DGPMs, Decoherence Gene Pair Models, showed changes in network topology reflective of the metastatic transition. Across a range of solid tumor studies the model generalizes to reveal a richly connected topology of networks in healthy tissues that becomes sparser as the disease progresses reaching a minimum size in the advanced tumors with minim survivability.
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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.