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Chromosomes and Cancer, Boveri Revisited
Author(s) -
Gerrit A. Meijer
Publication year - 2005
Publication title -
analytical cellular pathology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.576
H-Index - 24
eISSN - 2210-7185
pISSN - 2210-7177
DOI - 10.1155/2005/712434
Subject(s) - cancer , biology , computational biology , bioinformatics , evolutionary biology , genetics
Already in the late 19th century, the link between chromosomal aberrations and the pathogenesis of cancer was described by von Hanssemann [9]. Moreover, as early as the first decade of the 20th century the German zoologist Theodor Boveri developed a genetic theory of cancer based on these chromosomal aberrations [3]. Until quite recently, these ideas have received only limited attention and focus in cancer genetics has been mainly on the role of individual oncogenes and tumor suppressor genes. Yet, there is striking contrast between the complex genomic alterations we find in most human cancers and the simplicity of model systems used to explain their biology. While in certain instances these models are informative, on multiple occasions this is not the case. Indeed multiple knock-out mice have been generated that don’t have a disease phenotype. The limited attention for chromosomal instability in cancer research nicely illustrates the influence of observer bias on science. Most of the time, you only find what you are looking for. In this case, the observer bias largely has a technical background. For a long time we have been devoid of tools to evaluate the biological complexity of cancer in high enough detail. In addition, we did not have convenient methods available to study chromosomal aberrations in large series of tumor samples. Banding techniques for karyotyping became available in nineteen seventy but this required cell culturing and cytogenetic skills [5]. Alternatively, fluorescence in situ hybridization, even today necessarily is restricted to a limited number of genomic probes [10,29]. One of the most popular methods for studying genomic alterations in cancer was LOH analysis, which only allowed to detected genomic losses. As a consequence, the scientific community for a substantial period of time was focused on explaining the biology of cancer mainly by the role of tumor suppressor genes. The publication of comparative genomic hybridization in the early nineteen nineties meant a large step forward and opened up new opportunities for studying chromosomal copy number changes in large tumor series [13]. Over the last decade indeed numerous studies in this field have demonstrated the presence of specific chromosomal aberrations in many different types of cancer, while in fact, not so long before that, such genomic alterations were easily regarded to be genomic noise, secondary to a cancer phenotype caused by the alteration of a few tumor suppressor genes and oncogenes [11]. Of the non-random cancer associated chromosomal alterations found, a large number actually turned out to be gains (e.g. trisomies) of larger parts of chromosomes rather than losses (which are consistent with Knudson’s two hit model of tumor suppressor genes) or narrow high level amplifications, as known e.g. for Her2Neu. Introduction of the arrayCGH platform, especially in the last two years, has caused a tremendous number of studies on chromosomal instability in cancer [30]. In parallel, also microarray expression profiling studies have contributed to the appreciation that not only loss of function, but also increased expression of numerous genes plays a role in the pathogenesis of cancer. Moreover, the integration of microarray expression and arrayCGH analysis in cancer has demonstrated substantial correlation between DNA copy number alterations and expression of the genes involved, clearly demonstrating that these chromosomal alterations by no means are merely genomic noise, but have specific biological effects [31]. The concept that alterations involving building blocks (i.e. larger chromosomal areas with multiple genes) rather than bricks (i.e. the individual tumor suppressor genes or oncogenes) provide an efficient way for tumor cells to acquire a phenotype that yields a selection advantage, is an intriguing concept. Comparative genomics learns that the development of species is also associated with alterations of large blocks of of chromosomes [6]. When this mechanism is favorable for the evolution of species, it is quite plausible that this also holds for the evolution of tumors. As a consequence of chromosomal instability, the resulting tumor cells obtain an aneuploid genome. In a contribution to the present issue of Cellular Oncology, Peter

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