有哪些信誉好的足球投注网站gene expression profiling predicts survival in conventional renal cell carcinoma基因表达分析预测生存在常规肾细胞癌.pdfVIP
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gene expression profiling predicts survival in conventional renal cell carcinoma基因表达分析预测生存在常规肾细胞癌
PLoS MEDICINE Gene Expression Profiling Predicts Survival in Conventional Renal Cell Carcinoma 1 ¨ 2 2 2 3 1* Hongjuan Zhao , Borje Ljungberg , Kjell Grankvist , Torgny Rasmuson , Robert Tibshirani , James D. Brooks 1 Department of Urology, Stanford University School of Medicine, Stanford, California, United States of America, 2 Departments of Surgical and Perioperative Sciences, ˚ ˚ Urology, and Andrology, Medical Biosciences, Clinical Chemistry, and Radiation Sciences, Oncology, Umea University, Umea, Sweden, 3 Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California, United States of America Competing Interests: The authors A B S T R A C T have declared that no competing interests exist. Background Author Contributions: BL and JDB designed the study. HZ, BL, KG, and Conventional renal cell carcinoma (cRCC) accounts for most of the deaths due to kidney TR performed the experiments. HZ, cancer. Tumor stage, grade, and patient performance status are used currently to predict RT, and JDB analyzed the data. HZ, survival after surgery. Our goal was to identify gene expression features, using comprehensive BL, RT, and JDB contributed to writing the paper. gene expression profiling, that correlate with survival. Academic Editor: Francesco Marincola, National Institutes of Methods and Findings Health, United States of America
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