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a multi-factorial genetic model for prognostic assessment of high risk melanoma patients receiving adjuvant interferon现有的遗传高风险黑色素瘤患者预后评估模型接收辅助干扰素
A Multi-Factorial Genetic Model for Prognostic
Assessment of High Risk Melanoma Patients Receiving
Adjuvant Interferon
1. 2. 1 1 3
Ena Wang , Yingdong Zhao , Alessandro Monaco , Lorenzo Uccellini , John M. Kirkwood ,
4 3 1 5
Maria Spyropoulou-Vlachou , Monica C. Panelli , Francesco M. Marincola , Helen Gogas *
1 Department of Transfusion Medicine, Clinical Center and Trans-NIH Center for Human Immunology, National Institutes of Health, Bethesda, Maryland, United States of
America, 2 Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America, 3 University
of Pittsburgh Cancer Institute, Hillman Cancer Center, Pittsburgh, Pennsylvania, United States of America, 4 Department of Immunology, National Tissue Typing Center,
General Hospital of Athens, Athens, Greece, 5 First Department of Medicine, University of Athens, Medical School, Athens, Greece
Abstract
Purpose: IFNa was the first cytokine to demonstrate anti-tumor activity in advanced melanoma. Despite the ability of high-
dose IFNa reducing relapse and mortality by up to 33%, large majority of patients experience side effects and toxicity which
outweigh the benefits. The current study attempts to identify genetic markers likely to be associated with benefit from IFN-
a2b treatment and predictive for survival.
Experimental design: We tested the association of variants in FOXP3 microsatellites, CTLA4 SNPs and HLA genotype in 284
melanoma patients and their association with prognosis and survival of melanoma patients who received IFNa adjuvant
therapy.
Results: Univariate surviva
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