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See Latest ArticlesOutcome prediction and risk assessment by quantitative pyrosequencing methylation analysis of the SFN gene in advanced stage, high-risk, neuroblastic tumor patients
International Journal of Cancer, 09/04/09
Banelli B et al. – Quantitative methylation is a promising tool to predict survival in neuroblastic tumor patients. The results lead to the hypothesis that a subset of patients considered at high risk – but displaying low levels of methylation – could be assigned at a lower risk group.
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DNA methylation within the normal colorectal mucosa is associated with pathway-specific predisposition to cancer
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Multilocus methylation analysis in a large cohort of 11p15-related foetal growth disorders (Russell Silver and Beckwith Wiedemann syndromes) reveals simultaneous loss of methylation at paternal and maternal imprinted loci
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Today in Basic Science/Genetics...keeping you current
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Integrated Molecular and Clinical Analysis of AKT Activation in Metastatic Melanoma
Clinical Cancer Research, 12/11/09
Analysis of VHL Gene Alterations and their Relationship to Clinical Parameters in Sporadic Conventional Renal Cell Carcinoma
Clinical Cancer Research, 12/11/09
Platelets release novel thiol isomerase enzymes which are recruited to the cell surface following activation
British Journal of Haematology, 12/11/09
Today in Neurologic Oncology...keeping you current
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Intrinsic Gene Expression Profiles of Gliomas Are a Better Predictor of Survival than Histology
Cancer Research, 12/11/09
Glioblastoma Proto-oncogene SEC61gamma Is Required for Tumor Cell Survival and Response to Endoplasmic Reticulum Stress
Cancer Research, 12/11/09
Time Trends in Brain Tumor Incidence Rates in Denmark, Finland, Norway, and Sweden, 1974–2003
Journal of the National Cancer Institute, 12/10/09
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