To date, no effective adjuvant drug preventing the aggressive spread of tumour cells in late stages of cancer disease or at the time-point of primary tumour removal is available. Although proteases, including members of the large serine protease family, were shown to be promising targets for an anti-metastatic cancer therapy, synthetic protease inhibitors (SPIs) have so far failed to be introduced into the clinic. In addition to considerations in the design of classical in vivo -tests of SPIs as cancer therapy agents, we here review our findings with a straightforward, highly sensitive and very fast in vivo metastasis model and its implications in the development of efficient anti-metastatic SPIs. The lacZ-tagging of tumour cells of this very aggressive T-cell lymphoma model allowed highly sensitive and reproducible detection of metastases within seven days after tumour cell inoculation by X-gal staining of whole organs, allowing cost-effective and material-saving side-by-side screening of a series of SPIs with different specificities for different serine proteases. By establishment of specificity/antimetastatic efficacy correlations we identified coagulation factor Xa as one important target of anti-metastatic SPIs and could use this information for the subsequent design and optimization of factor Xa-specific lead structures. CONCLUSION: We exemplify the usefulness of high-throughput in vivo analysis to direct optimization of lead structures and how this may allow unexpected insight into the molecular biology of metastasis.
«To date, no effective adjuvant drug preventing the aggressive spread of tumour cells in late stages of cancer disease or at the time-point of primary tumour removal is available. Although proteases, including members of the large serine protease family, were shown to be promising targets for an anti-metastatic cancer therapy, synthetic protease inhibitors (SPIs) have so far failed to be introduced into the clinic. In addition to considerations in the design of classical in vivo -tests of SPIs as...
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