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