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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.
In their landmark paper, The Hallmarks of Cancer, [3] Hanahan and Weinberg suggest that cancer can be described by a small number of underlying principles, despite the complexities of the disease. The authors describe how tumor progression proceeds via a process analogous to Darwinian evolution, where each genetic change confers a growth ...
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 cancer stem cell model asserts that within a population of tumour cells, there is only a small subset of cells that are tumourigenic (able to form tumours). These cells are termed cancer stem cells (CSCs), and are marked by the ability to both self-renew and differentiate into non-tumourigenic progeny. The CSC model posits that the ...
Oncogenomics is a sub-field of genomics that characterizes cancer-associated genes.It focuses on genomic, epigenomic and transcript alterations in cancer. Cancer is a genetic disease caused by accumulation of DNA mutations and epigenetic alterations leading to unrestrained cell proliferation and neoplasm formation.
The first whole cancer genome to be sequenced was from cytogenetically normal acute myeloid leukaemia by Ley et al. in November 2008. [5] The first breast cancer tumor was sequenced by Shah et al. in October 2009, [6] the first lung and skin tumors by Pleasance et al. in January 2010, [7] [8] and the first prostate tumors by Berger et al. in ...
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Pan-cancer studies aim to detect the genes whose mutation is conducive to oncogenesis, as well as recurrent genomic events or aberrations between different tumors.For these studies, it is necessary to standardize the data between multiple platforms, establishing criteria between different researchers to work on the data and present the results.