Host genetics influence tumour metastasis

Nature Reviews Cancer

Volumn 6, Issue 2, 2006, Pages 141-146

  Hunter, Kent ^a  

^a NATIONAL CANCER INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAFFEINE; SMALL MOLECULE TRANSPORT AGENT;

CARCINOGENESIS; ETHICAL DECISION MAKING; GENE EXPRESSION; GENE LOCUS; GENETIC POLYMORPHISM; GENETICS; HIGH RISK PATIENT; HOST; INFRARED SPECTROSCOPY; INHERITANCE; METASTASIS; NONHUMAN; ONCOGENE; PATIENT IDENTIFICATION; PRIORITY JOURNAL; PROTEOMICS; QUANTITATIVE TRAIT; QUANTITATIVE TRAIT LOCUS; QUANTITATIVE TRAIT LOCUS MAPPING; REVIEW; SINGLE NUCLEOTIDE POLYMORPHISM; SOMATIC MUTATION; STRESS; TISSUE SPECIFICITY; TUMOR BIOPSY; TUMOR GROWTH;

DISEASE PROGRESSION; GERM-LINE MUTATION; HUMANS; NEOPLASM METASTASIS; NEOPLASMS; POLYMORPHISM, GENETIC; RISK FACTORS;

EID: 33644844519     PISSN: 1474175X     EISSN: None     Source Type: Journal    
DOI: 10.1038/nrc1803     Document Type: Review

References (38)

1. Demicheli, R., Abbattista, A., Miceli, R., Valagussa, P. & Bonadonna, G. Time distribution of the recurrence risk for breast cancer patients undergoing mastectomy: further support about the concept of tumor dormancy. Breast Cancer Res. Treat. 41, 177-185 (1996).
2. Weigelt, B., Peterse, J. L. & van't Veer, L. J. Breast cancer metastasis: markers and models. Nature Rev. Cancer 5, 591-602 (2005).
3. van't Veer, L. J. et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature 415, 530-536 (2002).
4. Ye, Q. H. et al. Predicting hepatitis B virus-positive metastatic hepatocellular carcinomas using gene expression profiling and supervised machine learning. Nature Med. 9, 416-423 (2003).
5. Roepman, P. et al. An expression profile for diagnosis of lymph node metastases from primary head and neck squamous cell carcinomas. Nature Genet. 37, 182-186 (2005).
6. Huang, E. et al. Gene expression predictors of breast cancer outcomes. Lancet 361, 1590-1596 (2003).
7. Cromer, A. et al. Identification of genes associated with tumorigenesis and metastatic potential of hypopharyngeal cancer by microarray analysis. Oncogens 23, 2484-2498 (2004).
8. Ramaswamy, S., Ross, K. N., Lander, E. S. & Golub, T. R. A molecular signature of metastasis in primary solid tumors. Nature Genet. 33, 49-54 (2003).
9. Bernards, R. & Weinberg, R. A. A progression puzzle. Nature 418, 823 (2002).
10. Weigelt, B. et al. Gene expression profiles of primary breast tumors maintained in distant metastases. Proc. Natl Acad. Sci. USA 100, 15901-15905 (2003).
11. Fidler, I. J. & Kripke, M. L. Genomic analysis of primary tumors does not address the prevalence of metastatic cells in the population. Nature Genet. 34, 23 (2003).
12. Schadt, E. E. et al. Genetics of gene expression surveyed in maize, mouse and man. Nature 422, 297-302 (2003).
13. Chesler, E. J. et al. Complex trait analysis of gene expression uncovers polygenic and pleiotropic networks that modulate nervous system function. Nature Genet. 37, 233-242 (2005).
14. Bystrykh, L. et al. Uncovering regulatory pathways that affect hematopoietic stem cell function using "genetical genomics". Nature Genet 37, 225-232 (2005).
15. Eppig, J. T. et al. The Mouse Genome Database (MGD): from genes to mice - a community resource for mouse biology. Nucleic Acids Res. 33, D471-D475 (2005).
16. Gould, K. A. et al. Genetic evaluation of candidate genes for the Mom 1 modifier of intestinal neoplasia in mice. Genetics 144, 1777-1785 (1996).
17. Dragani, T. A. et al. Mapping of melanoma modifier loci in RET transgenic mice. Jpn. J. Cancer Res. 91, 1142-1427 (2000).
18. Samuelson, D. J. et al. Physical evidence of Mcs5, a QTL controlling mammary carcinoma susceptibility, in congenic rats. Carcinogenesis 24, 1455-1460 (2003).
19. Reilly, K. M. et al. Susceptibility to astrocytoma in mice mutant for Nf1 and Trp53 is linked to chromosome 11 and subject to epigenetic effects. Proc. Natl Acad. Sci. USA 101, 13008-13013 (2004).
20. Lifsted, T. et al. et al. Identification of inbred mouse strains harboring genetic modifiers of mammary tumor age of onset and metastatic progression. Int. J. Cancer 77, 640-644 (1998).
21. Hunter, K. W. et al. Predisposition to efficient mammary tumor metastatic progression is linked to the breast cancer metastasis suppressor gene Brms1. Cancer Res. 61, 8866-8872 (2001).
22. Park, Y. G. et al. Sipa1 is a candidate for the metastasis efficiency modifier locus Mtes1. Nature Genet. 10, 1055-1062 (2005).
23. Qiu, T. H. et al. Global expression profiling identifies signatures of tumor virulence in MMTV-PyMT-transgenic mice: correlation to human disease. Cancer Res. 64, 5973-5981 (2004).
24. Hunter, K. W., Welch, D. R. & Liu, E. T. Genetic background is an important determinant of metastatic potential. Nature Genet 34, 23-24 (2003).
25. Talmadge, J. E., Wolman, S. R. & Fidler, I. J. Evidence for the clonal origin of spontaneous metastases. Science 217, 361-363 (1982).
26. Cheung, S. T. et al. Identify metastasis-associated genes in hepatocellular carcinoma through clonality delineation for multinodular tumor. Cancer Res. 62, 4711-4721 (2002).
27. Malins, D. C. et al. Metastatic cancer DNA phenotype identified in normal tissues surrounding metastasizing prostate carcinomas. Proc. Natl Acad. Sci. USA 101, 11428-11431 (2004).
28. Li, R., Lyons, M. A., Wittenburg, H., Paigen, B. & Churchill, G. A. Combining data from multiple inbred line crosses improves the power and resolution of quantitative trait loci mapping. Genetics 169, 1699-1709 (2005).
29. Ein-Dor, L., Kela, I., Getz, G., Givol, D. & Domany, E. Outcome signature genes in breast cancer: is there a unique set? Bioinformatics 21, 171-178 (2005).
30. Yang, H. et al. Caffeine suppresses metastasis in a transgenic mouse model: a prototype molecule for prophylaxis of metastasis. Clin. Exp. Metastasis 21, 719-735 (2005).
31. Ruggiero, M. et al. Vitamin D receptor gene polymorphism is associated with metastatic breast cancer. Oncol. Res. 10, 43-46 (1998).
32. Larkin, J. E., Frank, B. C., Gavras, H., Sultana, R. & Quackenbush, J. Independence and reproducibility across microarray platforms. Nature Methods 2, 337-344 (2005).
33. Irizarry, R. A. et al. Multiple-laboratory comparison of microarray platforms. Nature Methods 2, 345-350 (2005).
34. Bammler, T. et al. Standardizing global gene expression analysis between laboratories and across platforms. Nature Methods 2, 351-356 (2005).
35. Conrads, T. P., Zhou, M., Petricoin, E. F. 3rd, Liotta, L. & Veenstra, T. D. Cancer diagnosis using proteomic patterns. Expert Rev. Mol. Diagn. 3, 411-420 (2003).
36. Ben-Eliyahu, S. The promotion of tumor metastasis by surgery and stress: immunological basis and implications for psychoneuroimmunology. Brain Behav. Immun. 17 (Suppl.), S27-S36 (2003).
37. Harris, M., Winship, I. & Spriggs, M. Controversies and ethical issues in cancer-genetics clinics. Lancet Oncol. 6, 301-310 (2005).
38. Rabino, I. Genetic testing and its implications: human genetics researchers grapple with ethical issues. Sci. Technol. Human Values 28, 365-402 (2003).