Gene expression phenotypic models that predict the activity of oncogenic pathways

Nature Genetics

Volumn 34, Issue 2, 2003, Pages 226-230

  Huang, Erich ^a,b   Ishida, Seiichi ^a,e   Pittman, Jennifer ^b   Dressman, Holly ^a,b   Bild, Andrea ^a,b   Kloos, Mark ^a   D'Amico, Mark ^c   Pestell, Richard G ^c   West, Mike ^b   Nevins, Joseph R ^a,b,d  

^a DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b DUKE UNIVERSITY   (United States)

^c GEORGETOWN UNIVERSITY   (United States)

^d DUKE UNIVERSITY MEDICAL CENTER   (United States)

^e NATIONAL INSTITUTE OF HEALTH SCIENCES   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ANIMAL CELL; ANIMAL EXPERIMENT; ANIMAL MODEL; ANIMAL TISSUE; ARTICLE; BREAST CANCER; CANCER; CARCINOGENESIS; CELL PROLIFERATION; CONTROLLED STUDY; DISEASE ACTIVITY; DNA MICROARRAY; EMBRYO; GENE EXPRESSION; IN VITRO STUDY; IN VIVO STUDY; MOLECULAR MODEL; MOUSE; NONHUMAN; ONCOGENE; PHENOTYPE; PREDICTION; PRIORITY JOURNAL; REGULATORY MECHANISM; STRUCTURE ANALYSIS; TECHNIQUE;

ANIMALS; CELL CYCLE PROTEINS; DNA-BINDING PROTEINS; E2F TRANSCRIPTION FACTORS; E2F1 TRANSCRIPTION FACTOR; E2F2 TRANSCRIPTION FACTOR; E2F3 TRANSCRIPTION FACTOR; FEMALE; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; GENES, MYC; GENES, RAS; MAMMARY NEOPLASMS, EXPERIMENTAL; MICE; MICE, TRANSGENIC; MODELS, GENETIC; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; ONCOGENES; PHENOTYPE; TRANSCRIPTION FACTORS;

ANIMALIA;

EID: 0037941536     PISSN: 10614036     EISSN: None     Source Type: Journal    
DOI: 10.1038/ng1167     Document Type: Article

References (14)

1. West, M. et al. Predicting the clinical status of human breast cancer by using gene expression profiles. Proc. Natl. Acad. Sci. USA 98, 11462-11467 (2001).
2. Nevins, J.R. Toward an understanding of the functional complexity of the E2F and Retinoblastoma families. Cell Growth Differ. 9, 585-593 (1998).
3. Dyson, N. The regulation of E2F by pRB-family proteins. Genes Dev. 12, 2245-2262 (1998).
4. Coller, H.A. et al. Expression analysis with oligonucleotide microarrays reveals that MYC regulates genes involved in growth, cell cycle, signaling, and adhesion. Proc. Natl. Acad. Sci. USA 97, 3260-3265 (2000).
5. Bearss, D.J., Lee, R.L., Troyer, D.A., Pestell, R.G. & Windle, J.J. p21 WAF1/CIP1 deficiency has opposite effects in tumors arising from MMTV-Ras and MMTV-Myc transgenic mice. Cancer Res. 62, 2077-2084 (2002).
6. Lee, R.J. et al. Cyclin D1 is required for transformation by activated Neu and is induced through an E2F-dependent signaling pathway. Mol. Cell. Biol. 20, 672-683 (2000).
7. D'Crus, C.M. et al. c-MYC induces mammary tumorigenesis by means of a preferred pathway involving spontaneous Kras2 mutations. Nat. Med. 7, 235-239 (2001).
8. Pomeroy, S.L. et al. Prediction of central nervous system embryonal tumour outcome based on gene expression. Nature 415, 436-442 (2002).
9. Shipp, M.A. et al. Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning. Nat. Med. 8, 68-74 (2002).
10. Golub, T.R. et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 286, 531-537 (1999).
11. van'T Veer, L.J. et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature 415, 530-536 (2002).
12. Nevins, J.R., DeGregori, J., Jakoi, L. & Leone, G. Functional analysis of E2F. Methods Enzymol. 283, 205-219 (1997).
13. DeGregori, J., Leone, G., Miron, A., Jakoi, L. & Nevins, J.R. Distinct roles for E2F proteins in cell growth control and apoptosis. Proc. Natl. Acad. Sci. USA 94, 7245-7250 (1997).
14. Bromberg, J.F. et al. Stat3 as an oncogene. Cell 98, 295-303 (1999).