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A significant problem in cancer biology is determining the functions of uncharacterized cancer-associated genes discovered from genomic and proteomic datasets. This Review explores how cancer-gene function can be deduced using computational and statsitical methods.
Phenomics is the systematic and meticulous collection, objective documentation and cataloguing of phenotypic data at many levels. This Review describes the possible uses of phenomics in cancer research, using the examples ofRET and PTENphenomics.
Some cytochrome P450 (CYP) enzymes participate in the detoxication of xenobiotics and, paradoxically, can form reactive intermediates that can damage DNA, lipids and proteins. What function do these enzymes have in carcinogenesis driven by the environment?
Understanding p53 regulation remains a crucial goal to design broadly applicable anticancer strategies that target this pathway. In this context, this Review analyses the function of p53 post-translational modifications and the p53 regulators MDM2 and MDM4 using recentin vitro and in vivodata.
The hormone gastrin has a central role in gastric acid secretion and is associated with malignant progression in transgenic mouse models. Does gastrin participate in human gastric cancers or is it merely a bystander?
Neoplasms are microcosms of evolution. The evolution of neoplastic cells explains why we get cancer and why it has been so difficult to cure. Can evolutionary biology provide new insights into the clinical control of cancer?