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Georgios P Skliris, Zoann J Nugent, Brian G Rowan, Carla R Penner, Peter H Watson, and Leigh C Murphy

were submitted to antigen retrieval (CC1, Ventana Medical Systems, Tucson, AZ, USA) using an auto-immunostainer (Discovery Staining Module, Ventana Medical Systems). Quantification and cut-off selection Slides were scored using standard light microscopy

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Yu-Li Chen, Cheng-Yang Chou, Ming-Cheng Chang, Han-Wei Lin, Ching-Ting Huang, Shu-Feng Hsieh, Chi-An Chen, and Wen-Fang Cheng

used as the derivation group to select target clinical and immunological factors to generate a risk-scoring system to predict patient survival. Eighty-two cases from another hospital were used as the validation group to evaluate this risk-scoring system

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S Crnalic, E Hörnberg, P Wikström, U H Lerner, Å Tieva, O Svensson, A Widmark, and A Bergh

showing the nuclear morphology of apoptosis in hematoxylin–eosin-stained sections) and proliferating (Ki67-positive) tumour epithelial cells was scored by evaluating 300–1000 cells per patient, as described earlier ( Ohlson et al . 2005 , 2007 ). The PSA

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Xilin Yang, Wing-Yee So, Ronald C W Ma, Gary T C Ko, Alice P S Kong, Qingsheng Wang, Clive S Cockram, Chun-Chung Chow, Juliana C N Chan, and Peter C Y Tong

colorectal ( Seow et al . 2006 ), pancreatic ( Huxley et al . 2005 ) and liver ( Rousseau et al . 2006 ), suggesting that multiple-site cancers in T2DM may share common risk factors. The Framingham Study developed a risk score for predicting coronary heart

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Cristina L Ronchi, Silviu Sbiera, Luitgard Kraus, Sebastian Wortmann, Sarah Johanssen, Patrick Adam, Holger S Willenberg, Stefanie Hahner, Bruno Allolio, and Martin Fassnacht

2006 ), and all histological diagnoses were confirmed (including Weiss, Hough, and van Slooten score and Ki67 index) by the reference pathologist of the German ACC Registry (Wolfgang Saeger, Hamburg, Germany). All samples with a Weiss score of 4 or

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Sonia Cheng, Wei Liu, Moises Mercado, Shereen Ezzat, and Sylvia L Asa

weak cytoplasmic intensity, medium cytoplasmic intensity, and strong cytoplasmic intensity scores as referenced by the cytoplasmic levels of protein expression, percentage of positive cells, and area of analysis. The software generated a construct

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Brian Hung-Hin Lang, Young Jun Chai, Benjamin J Cowling, Hye Sook Min, Kyu Eun Lee, and Yeo-Kyu Youn

determine independent factors and to formulate combined prediction scores based on the regression coefficients. The area under a receiver characteristic (ROC) curve (AUC) was used to measure the relative predictability of independent factors and combined

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Jing Jing, Dandan Zhu, Xiaowei Wang, Jing An, Zhaoliang Liu, and Qingyuan Zhang

stepwise selection of variables was applied to avoid overfitting the model. The risk scores for each predictive signature were computed according to the Cox models, respectively. According to the median risk score, HT patients were divided into high- and

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Fei Han, Wen-bin Liu, Jian-jun Li, Ming-qian Zhang, Jun-tang Yang, Xi Zhang, Xiang-lin Hao, Li Yin, Cheng-yi Mao, Xiao Jiang, Jia Cao, and Jin-yi Liu

35.3 exhibits the strongest correlation with overall survival (OS) of advanced-stage ovarian cancer ( Birrer et al. 2007 , Wei et al. 2013 ). Coincidentally, SOX30 is located at the chromosome 5q33 within 5q31–5q35.3 chromosomal region. These

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Samantha Peiling Yang and Joanne Ngeow

al. 2011 a ). The Cleveland Clinic score, based on clinical manifestations, could be used as a CS risk predictor. A score of 10 or more is associated with a pretest probability of 3%, and a referral to the geneticist for genetic counseling and