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A new prognostic model for testicular germ cell tumours
Author(s) -
VON EYBEN FINN EDLER,
MADSEN EBBE LINDEGAARD,
FRITSCHE HERBERT,
SUCIU GABRIEL,
LIU FRANK,
AMATO ROBERT
Publication year - 2003
Publication title -
apmis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.909
H-Index - 88
eISSN - 1600-0463
pISSN - 0903-4641
DOI - 10.1034/j.1600-0463.2003.1110114_1.x
Subject(s) - medicine , univariate , proportional hazards model , multivariate analysis , lactate dehydrogenase , oncology , hazard ratio , multivariate statistics , receiver operating characteristic , germ cell tumors , germ cell , survival analysis , univariate analysis , pathology , biology , confidence interval , chemotherapy , machine learning , gene , enzyme , biochemistry , computer science
In univariate analyses of patients with metastatic testicular germ cell tumours (TGCT), both the International Germ Cell Consensus Classification (IGCCC) and serum lactate dehydrogenase (S‐LD) isoenzyme 1 catalytic concentration (S‐LD‐1) significantly predicted survival. In complementary analyses of 81 patients with metastatic TGCT, S‐LD and S‐LD‐1 classified the prognosis differently for 23 patients. In multivariate Cox hazard analyses of risk factors, only IGCCC and S‐LD‐1 predicted the prognosis (p=0.036, and p=0.0007, respectively). A new prognostic model based on prognostic information from main histology, IGCCC, and S‐LD‐1 changed the prognostic prediction by IGCCC for 19 patients (24%). Judged by to the area under the curve for receiver operation characteristics curves, the new model predicted five‐years survival for the patients better than IGCCC and a modified version of the third edition of the TNM classification (p=0.025, and p=0.01, respectively). However, new studies should validate the new model before it is recommended as a general classification system of patients with metastatic TGCT.