Discovery of cancer biomarkers through the use of mouse models

Cancer Lett. 2007 Apr 28;249(1):40-8. doi: 10.1016/j.canlet.2006.12.032. Epub 2007 Feb 22.

Abstract

Although our understanding of the molecular pathogenesis of common types of cancer has improved considerably, the development of effective strategies for cancer diagnosis and treatment have lagged behind. Mouse models of cancer potentially represent an efficient means for uncovering diagnostic markers as genetic alterations associated with human tumors can be engineered in mice. In addition, defined stages of tumor development, breeding conditions, and blood sampling can all be controlled and standardized to limit heterogeneity. Alternatively human cancer cells can be injected into mice and tumor development monitored in xenotransplants. Mouse-based studies promise to elucidate a repertoire of protein changes that occur in blood and biological fluids during tumor development. This is illustrated in a study in which we have applied a three-dimensional intact protein analysis system (IPAS) to elucidate detectable protein changes in serum from immunodeficient mice with lung xenografts from orthotopically implanted human A549 lung adenocarcinoma cells. With sufficiently detailed protein sequence identifications, the observed protein changes can be attributed to either the host mouse or the human tumor cells. It is noteworthy that the majority of increases identified have corresponded to relatively abundant serum proteins, some of which have previously been reported as increased in the sera of cancer patients. Proteomic studies of mouse models of cancer allow assessment of the range of changes in plasma proteins that occur with tumor development and may lead to the identification of potential cancer markers applicable to humans.

Publication types

  • Review

MeSH terms

  • Animals
  • Biomarkers, Tumor*
  • Disease Models, Animal*
  • Gene Expression Regulation, Neoplastic
  • Humans
  • Mice
  • Neoplasm Proteins / metabolism
  • Neoplasm Transplantation
  • Neoplasms / metabolism*
  • Proteomics
  • RNA, Messenger / metabolism

Substances

  • Biomarkers, Tumor
  • Neoplasm Proteins
  • RNA, Messenger