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Metabolic reprogramming provides critical information for clinical oncology. Using molecular data of 9,125 patient samples from The Cancer Genome Atlas, we identified tumor subtypes in 33 cancer types based on mRNA expression patterns of seven major metabolic processes and assessed their clinical relevance. Our metabolic expression subtypes correlated extensively with clinical outcome: subtypes with...
Precision oncology uses genomic evidence to match patients with treatment but often fails to identify all patients who may respond. The transcriptome of these “hidden responders” may reveal responsive molecular states. We describe and evaluate a machine-learning approach to classify aberrant pathway activity in tumors, which may aid in hidden responder identification. The algorithm integrates RNA-seq,...
AFP-producing gastric carcinoma(APGC) are known to have a poorer prognosis and to show a higher incidence of liver metastasis than ordinary gastric carcinoma. Therefore, surgical resection, chemotherapy or radiotherapy is usually not satisfactory. In recent years, effects of arsenic trioxide (As2O3) on cell proliferation and induced apoptosis of solid tumors have been widely studied, while little...
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