Identification and Validation of a Gene Expression Signature That Predicts Outcome in Adult Men With Germ Cell Tumors
Author(s) -
James E. Korkola,
Jane Houldsworth,
Darren R. Feldman,
Adam B. Olshen,
Li-Xuan Qin,
Sujata Patil,
Victor E. Reuter,
George J. Bosl,
R. S. K. Chaganti
Publication year - 2009
Publication title -
journal of clinical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.482
H-Index - 548
eISSN - 1527-7755
pISSN - 0732-183X
DOI - 10.1200/jco.2008.20.0386
Subject(s) - medicine , concordance , oncology , univariate , germ cell tumors , proportional hazards model , gene expression profiling , univariate analysis , malignancy , survival analysis , gene signature , multivariate analysis , gene expression , gene , multivariate statistics , biology , machine learning , biochemistry , chemotherapy , computer science
Germ cell tumor (GCT) is the most common malignancy in young adult men. Currently, patients are risk-stratified on the basis of clinical presentation and serum tumor markers. The introduction of molecular markers could improve outcome prediction.
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