DNA microarrays in breast cancer: The promise of personalised medicine

Lancet

Volumn 361, Issue 9369, 2003, Pages 1576-1577

  Ramaswamy, Sridhar ^a,b   Perou, Charles M ^c  

^a HARVARD MEDICAL SCHOOL   (United States)

^b WHITEHEAD INSTITUTE FOR BIOMEDICAL RESEARCH   (United States)

^c UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BREAST CANCER; CANCER CLASSIFICATION; CANCER DIAGNOSIS; CANCER INVASION; CANCER RECURRENCE; CANCER RESEARCH; CANCER RISK; CARCINOGENESIS; DIAGNOSTIC ACCURACY; DISEASE COURSE; DNA MICROARRAY; GENE CLUSTER; GENE EXPRESSION PROFILING; GENE SEQUENCE; GENETIC VARIABILITY; HUMAN; LYMPH NODE METASTASIS; MEDICAL PRACTICE; METASTASIS; MOLECULAR MECHANICS; NOTE; PREDICTION; PRIORITY JOURNAL; PROGNOSIS; QUANTITATIVE ANALYSIS; QUANTITATIVE GENETICS; RECURRENCE RISK; RISK ASSESSMENT; SEQUENCE ANALYSIS; SOMATIC MUTATION; TUMOR GROWTH; VALIDATION PROCESS;

EID: 0038244781     PISSN: 01406736     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0140-6736(03)13322-3     Document Type: Note

References (14)

1. Cole B.F., Gelber R.D., Gelber S., Coates A.S., Goldhirsch A. Polychemotherapy for early breast cancer: an overview of the randomised clinical trials with quality-adjusted survival analysis. Lancet. 358:2001;277-286.
2. Perou C.M., Sorlie T., Eisen M.B., et al. Molecular portraits of human breast tumours. Nature. 406:2000;747-752.
3. Golub T.R., Slonim D.K., Tamayo P., et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science. 286:1999;531-537.
4. Ramaswamy S., Golub T.R. DNA microarrays in clinical oncology. J Clin Oncol. 20:2002;1932-1941.
5. Ramaswamy S., Tamayo P., Rifkin R., et al. Multiclass cancer diagnosis using tumor gene expression signatures. Proc Natl Acad Sci USA. 98:2001;15149-15154.
6. Sorlie T., Perou C.M., Tibshirani R., et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci USA. 98:2001;10869-10874.
7. Yeoh E.J., Ross M.E., Shurtleff S.A., et al. Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling. Cancer Cell. 1:2002;133-143.
8. Ramaswamy S., Ross K.N., Lander E.S., Golub T.R. A molecular signature of metastasis in primary solid tumors. Nat Genet. 33:2003;49-54.
9. Alizadeh A.A., Eisen M.B., Davis R.E., et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature. 403:2000;503-511.
10. van 't Veer L.J., Dai H., van de Vijver M.J., et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature. 415:2002;530-536.
11. van de Vijver M.J., He Y.D., van 't Veer L.J., et al. A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med. 347:2002;1999-2009.
12. Pomeroy S.L., Tamayo P., Gaasenbeek M., et al. Prediction of central nervous system embryonal tumour outcome based on gene expression. Nature. 415:2002;436-442.
13. Ye Q.H., Qin L.X., Forgues M., et al. Predicting hepatitis B virus-positive metastatic hepatocellular carcinomas using gene expression profiling and supervised machine learning. Nat Med. 9:2003;416-423.
14. Bernards R., Weinberg R.A. Metastasis genes: a progression puzzle. Nature. 418:2002;823.