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Scholar Results 1 - 10 of about 38 citing Marchionni: Systematic review: gene expression profiling assays in early-stage breast cancer. (0.10 sec) 

Gene-expression signatures in breast cancer

- uniud.it [PDF] 
C Sotiriou, L Pusztai - The New England Journal of Medicine, 2009 - nejm.highwire.org
Gene-expression profiling with the use of DNA microarrays allows measurement of
thousands of messenger RNA (mRNA) transcripts in a single experiment. Results of
such studies have confirmed that breast cancer is not a single disease with ...
Cited by 42 - Related articles - All 5 versions

Transcriptomic biomarkers for individual risk assessment in new-onset heart failure

- ahajournals.org
B Heidecker, EK Kasper, IS Wittstein, HC … - Circulation, 2008 - Am Heart Assoc
Methods and Results— Endomyocardial biopsy samples and clinical data were
collected from all patients presenting with new-onset HF from 1997 to 2006.
Among a total of 350 endomyocardial biopsy samples, 180 were identified as ...
Cited by 15 - Related articles - All 6 versions

Against diagnosis

- annals.org [PDF] 
AJ Vickers, E Basch, MW Kattan - Annals of internal medicine, 2008 - Am Coll Physicians
The act of diagnosis requires that patients be placed in a binary category of
either having or not having a certain disease. Accord- ingly, the diseases of
particular concern for industrialized coun- tries—such as type 2 ...
Cited by 6 - Related articles - All 5 versions

Loss of heterozygosity predicts poor survival after resection of pancreatic adenocarcinoma


J Franko, AM Krasinskas, MN Nikiforova, NO … - Journal of Gastrointestinal Surgery, 2008 - Springer
Abstract Background American Joint Committee on Cancer (AJCC) staging for
pancreatic adenocarcinoma is a validated predictor of prognosis but
insufficiently discriminates postresection survival. We hypothesized that ...
Cited by 3 - Related articles - All 2 versions

Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, …


AJ Vickers, AM Cronin, EB Elkin, M Gonen - BMC Medical Informatics and Decision Making, 2008 - biomedcentral.com
Decision curve analysis is a novel method for evaluating diagnostic tests,
prediction models and molecular markers. It combines the mathematical simplicity
of accuracy measures, such as sensitivity and specificity, with the ...
Cited by 3 - Related articles - Cached - All 7 versions

Decision analysis for the evaluation of diagnostic tests, prediction models and molecular …


AJ Vickers - The American Statistician, 2008 - pubmedcentral.nih.gov
The traditional statistical approach to the evaluation of diagnostic tests,
prediction models and molecular markers is to assess their accuracy, using
metrics such as sensitivity, specificity and the receiver-operating- ...
Cited by 3 - Related articles - All 6 versions

Adjuvant chemotherapy in breast cancer


R Bartsch, GG Steger - memo-Magazine of European Medical Oncology, 2008 - Springer
Breast cancer is the most common malignancy in women in Western Europe and the
US Adjuvant chemotherapy reduces the rate of cancer recurrence, thereby
contributing to the re- cent decline of breast cancer mortality. Notably, a ...
Cited by 1 - Related articles - BL Direct

Transcriptomics and micronutrient research


RM Elliott - British Journal of Nutrition, 2008 - Cambridge Univ Press
This review examines the extent to which transcriptomic methods have lived up to
their promise in the context of nutrition research, placing par- ticular
emphasis on examples from micronutrient research. A case is made that the ...
Cited by 1 - Related articles - All 4 versions

Early breast cancer


JR Benson, I Jatoi, M Keisch, FJ Esteva, A … - The Lancet, 2009 - Elsevier
Adoption of urbanised lifestyles together with changes in reproductive behaviour
might partly underlie the continued rise in worldwide incidence of breast
cancer. Widespread mammographic screening and effective systemic therapies ...
Cited by 2 - Related articles - All 2 versions

[CITATION] Receptor-based predictors of response in breast cancer


HER Conversely - Future Oncol, 2009
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