Citations

Abstract Introduction Our goal was to develop cut points for amyloid positron emission tomography (PET), tau PET, flouro‐deoxyglucose (FDG) PET, and MRI cortical thickness. Methods We examined five methods for determining cut points. Results The reliable worsening method produced a cut point only for amyloid PET. The specificity, sensitivity, and accuracy of cognitively impaired versus young clinically normal (CN) methods labeled the most people abnormal and all gave similar cut points for tau PET, FDG PET, and cortical thickness. Cut points defined using the accuracy of cognitively impaired versus age‐matched CN method labeled fewer people abnormal. Discussion In the future, we will use a single cut point for amyloid PET (standardized uptake value ratio, 1.42; centiloid, 19) based on the reliable worsening cut point method. We will base lenient cut points for tau PET, FDG PET, and cortical thickness on the accuracy of cognitively impaired versus young CN method and base conservative cut points on the accuracy of cognitively impaired versus age‐matched CN method.

Abstract Background: Common cancers develop through a multistep process often including inherited susceptibility. Collaboration among multiple institutions, and funding from multiple sources, has allowed the development of an inexpensive genotyping microarray, the OncoArray. The array includes a genome-wide backbone, comprising 230,000 SNPs tagging most common genetic variants, together with dense mapping of known susceptibility regions, rare variants from sequencing experiments, pharmacogenetic markers, and cancer-related traits. Methods: The OncoArray can be genotyped using a novel technology developed by Illumina to facilitate efficient genotyping. The consortium developed standard approaches for selecting SNPs for study, for quality control of markers, and for ancestry analysis. The array was genotyped at selected sites and with prespecified replicate samples to permit evaluation of genotyping accuracy among centers and by ethnic background. Results: The OncoArray consortium genotyped 447,705 samples. A total of 494,763 SNPs passed quality control steps with a sample success rate of 97% of the samples. Participating sites performed ancestry analysis using a common set of markers and a scoring algorithm based on principal components analysis. Conclusions: Results from these analyses will enable researchers to identify new susceptibility loci, perform fine-mapping of new or known loci associated with either single or multiple cancers, assess the degree of overlap in cancer causation and pleiotropic effects of loci that have been identified for disease-specific risk, and jointly model genetic, environmental, and lifestyle-related exposures. Impact: Ongoing analyses will shed light on etiology and risk assessment for many types of cancer. Cancer Epidemiol Biomarkers Prev; 26(1); 126–35. ©2016 AACR.

Objectives: To understand the extent and modalities of integrative medicine strategies that patients with coccidioidomycosis (valley fever) have incorporated into their treatment regimens. Design: A direct patient survey was distributed, with 100 unique responses, at a single infectious diseases clinic at an academic medical center in Arizona. Eligible patients, defined as those with confirmed coccidioidomycosis or currently under evaluation, were polled on their personal use of 36 integrative medicine modalities. Patients were also asked to indicate their level of fatigue on a 10-point scale in an attempt to correlate levels of fatigue to use of specific integrative medicine modalities. Results: Of the patients surveyed, 64% had used at least one integrative medicine modality, and 53% used two or more, along with conventional medical therapy. The top three modalities were nutrition (39%), massage (27%), and breathing exercises (26%). The mean reported fatigue level was 4.7 on a 10-point scale, with a standard deviation of 3.0. There was no statistically significant association between use of a specific modality and reported level of fatigue. Conclusions: Nearly two thirds of patients (64%) surveyed had used at least one integrative medicine modality throughout the course of their therapy. Clinicians are probably unaware of the extent to which many patients, including this population, have embraced integrative medicine. Awareness of patients' goal and preferences is valuable in shared clinical decision making.