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Under this model, cancer arises as the result of a single, isolated event, rather than the slow accumulation of multiple mutations. [4] The exact function of some tumor suppressor genes is not currently known (e.g. MEN1, WT1), [5] but based on these genes following the Knudson "two-hit" hypothesis, they are strongly presumed to be suppressor genes.
Human isogenic disease models have been likened to 'patients in a test-tube', since they incorporate the latest research into human genetic diseases and do so without the difficulties and limitations involved in using non-human models. [2] Historically, cells obtained from animals, typically mice, have been used to model cancer-related pathways.
The laboratory mouse has been instrumental in investigating the genetics of human disease, including cancer, for over 110 years. [1] The laboratory mouse has physiology and genetic characteristics very similar to humans providing powerful models for investigation of the genetic characteristics of disease. [2]
The central role of DNA damage and epigenetic defects in DNA repair genes in carcinogenesis. DNA damage is considered to be the primary cause of cancer. [17] More than 60,000 new naturally-occurring instances of DNA damage arise, on average, per human cell, per day, due to endogenous cellular processes (see article DNA damage (naturally occurring)).
Cancer is a genetic disease caused by accumulation of DNA mutations and epigenetic alterations leading to unrestrained cell proliferation and neoplasm formation. The goal of oncogenomics is to identify new oncogenes or tumor suppressor genes that may provide new insights into cancer diagnosis, predicting clinical outcome of cancers and new ...
Genetic studies of common diseases in humans suffer significant limitations for practical and ethical reasons. [22] Human cell lines can be used to model disease but it is difficult to study processes at the tissue level, within an organ or across the entire body. Mice can be a good representation of diseases in humans because:.
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The linear no-threshold model (LNT) is a dose-response model used in radiation protection to estimate stochastic health effects such as radiation-induced cancer, genetic mutations and teratogenic effects on the human body due to exposure to ionizing radiation. The model assumes a linear relationship between dose and health effects, even for ...