ReviewCancer gene therapy2012
Germ cell DNA-repair systems-possible tools in cancer research?
Review in Cancer gene therapy, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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.
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
6 citing papers in PubMed, 10 citations in OpenAlex.
- Mitigating age-related somatic mutation burden.Trends in molecular medicine · 2023Review
- From DNA damage to mutations: All roads lead to aging.Ageing research reviews · 2021Review
- Rapid evolution and molecular convergence in cryptorchidism-related genes associated with inherently undescended testes in mammals.BMC ecology and evolution · 2021Article
- Reviving rare chicken breeds using genetically engineered sterility in surrogate host birds.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Characterization of DNA repair deficient strains of Chlamydomonas reinhardtii generated by insertional mutagenesis.PloS one · 2014Article
- General aspects of colorectal cancer.ISRN oncology · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A major dogma in cancer research is that cancer begins at the cellular level. Because of this single-cell origin, evolutionary principles have often been used to explain how somatic cancer cells are selected at a sub-individual level. The traditional application of Darwinian theory, however, in which the colony of cells constituting an individual is regarded as a whole, has not been applied extensively to the understanding of cancer until recently. Two proponents for this view, Breivik and Gaudernack, have suggested that in certain situations the cost of DNA repair might exceed the cost of errors. This model predicts that genetic stability is configured for an optimal cost-benefit relationship. Natural selection is not expected to have produced the best genetic stability available in the human body, merely the best compromise of DNA repair and costs. Repair and maintenance of the vast human genome is thermodynamically expensive, and an optimal balance between DNA repair and dietary needs is likely to have originated. Furthermore, fast growth conveys significant advantages such as early maturation or cognitive development, but usually at the expense of replication accuracy. Thus, a compromise between growth speed and cancer risk is likely to have taken place. These and other ecological mechanisms have probably prevented genomic stability to reach its full potential in the human body. In contrast, germ lines express near perfect DNA maintenance. Although germ cells are specialized DNA-conserving cells with few other functions, it's not given that their proteins will all be incompatible with the somatic cell. One approach to study this would be to systematically explore which DNA-stability and -repair systems are unique in germ cells, and induce their expression in invertebrate and mammalian model organisms. This could unveil which DNA-repair systems are switched off in the somatic cell lines, as they are incompatible, and which are absent due to evolution. The present review discuss different DNA-repair systems and cell cycle check point control mechanisms shown to be different or unique in the germ cell, and how they may be utilized in cancer therapy.
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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.