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The identification of high-risk human papillomavirus types as a necessary cause of cervical cancer offers the possibility of improving cervical cancer detection and prevention. What uncertainties need to be clarified for these possibilities to be realized?
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.
Recent data highlight the usefulness of the selective oestrogen-receptor modulators (SERMs) tamoxifen and raloxifene for the prevention of breast cancer. What have we learned about oestrogen modulation, and how can this inform the use of SERMs for both cancer therapy and prevention?
The Connectivity Map database aims to connect diseases with the genes that cause them and drugs that could treat them. How does this new resource work, and how can it be used by the cancer research community?
Many cancers have been linked to nutrition and obesity. Although these problems have traditionally affected affluent people and countries, they are rapidly becoming problems of poverty. Understanding the factors behind these shifts may help us to reduce obesity and cancer risk.
