Prediction of cancer outcome with microarrays (multiple letters)

Lancet

Volumn 365, Issue 9472, 2005, Pages 1683-1686

  Biganzoli, Elia ^a   Lama, Nicola ^b   Ambrogi, Federico ^a   Antolini, Laura ^a   Boracchi, Patrizia ^b   Iizuka, Norio ^c   Hamamoto, Yoshihiko ^d   Oka, Masaaki ^c   Michiels, S ^e   Koscielny, S ^e   Hill, C ^e   Gardner, Shea N ^f   Fernandes, Michael ^f   Lee, Andrew H S ^g   Goldhirsch, Aron ^h   Gelber, Richard D ⁱ   Viale, Giuseppe ^h   Colleoni, Marco ^h   Coates, Alan S ^j   Klijn, Jan G M ^k   Wang, Yixin ^l   Atkins, David ^m   Foekens, John A ^k   more..

^a NATIONAL CANCER INSTITUTE   (Italy)

^b UNIVERSITY OF MILAN   (Italy)

^c YAMAGUCHI UNIVERSITY SCHOOL OF MEDICINE   (Japan)

^d YAMAGUCHI UNIVERSITY   (Japan)

^e INSTITUT GUSTAVE ROUSSY   (France)

^f LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

^g NOTTINGHAM CITY HOSPITAL   (United Kingdom)

^h EUROPEAN INSTITUTE OF ONCOLOGY   (Italy)

ⁱ DANA FARBER CANCER INSTITUTE   (United States)

^j UNIVERSITY OF SYDNEY   (Australia)

^k ERASMUS MEDICAL CENTER   (Netherlands)

^l Johnson and Johnson   (United States)

^m Veridex LLC   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

TAMOXIFEN;

ACCURACY; CANCER; CANCER CHEMOTHERAPY; CANCER RECURRENCE; CANCER RISK; DNA MICROARRAY; FOLLOW UP; GENE EXPRESSION; GENETIC VARIABILITY; GENETICS; GENOMICS; HISTOLOGY; HUMAN; LETTER; MEDICAL ASSESSMENT; MEDICAL INFORMATION; MEDICAL RESEARCH; MULTIGENE FAMILY; OUTCOMES RESEARCH; PATHOLOGY; PREDICTION; PREVALENCE; PRIORITY JOURNAL; PROGNOSIS; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; TRAINING; VALIDATION PROCESS; GENE EXPRESSION PROFILING; NEOPLASM; NOTE; REPRODUCIBILITY; SAMPLE SIZE;

GENE EXPRESSION PROFILING; HUMANS; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROGNOSIS; REPRODUCIBILITY OF RESULTS; SAMPLE SIZE;

EID: 21144443942     PISSN: 01406736     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0140-6736(05)66537-3     Document Type: Letter

References (5)

1. S Michiels S Koscielny C Hill Prediction of cancer outcome with microarrays: a multiple random validation strategy Lancet 365 2005 488 492
2. E Biganzoli P Boracchi Old and new markers for breast cancer prognosis: the need for integrated research on quantitative issues Eur J Cancer 40 2004 1803 1806
3. B Efron Estimating the error rate of a prediction rule: improvement on cross-validation JASA 78 1983 316 331
4. LJ van't Veer H Dai MJ van de Vijver Gene expression profiling predicts clinical outcome of breast cancer Nature 415 2002 530 536
5. N Lama F Ambrogi L Antolini P Boracchi E Biganzoli Some issues and perspectives in microarray data analysis in breast cancer: the need for an integrated research Proceedings of the 1st European Workshop on the assessment of diagnostic performance 2004 http://users.unimi.it/ewadp Milan, Italy; July 7–9, (accessed March 24, 2005)