Liquid biopsy, using a novel DNA methylation signature, distinguishes pancreatic adenocarcinoma from benign pancreatic disease.

Autor: Vrba L; The University of Arizona Cancer Center, Tucson, AZ, USA.; Department of Pharmacology and Toxicology, College of Pharmacy, University of Arizona, Tucson, AZ, USA., Futscher BW; The University of Arizona Cancer Center, Tucson, AZ, USA.; Department of Pharmacology and Toxicology, College of Pharmacy, University of Arizona, Tucson, AZ, USA.; Precision Epigenomics Inc, Tucson, AZ, USA., Oshiro M; The University of Arizona Cancer Center, Tucson, AZ, USA., Watts GS; The University of Arizona Cancer Center, Tucson, AZ, USA.; Department of Medical Pharmacology, College of Medicine, University of Arizona, Tucson, AZ, USA., Menashi E; Honor Health Hospital, Scottsdale, AZ, USA., Hu C; Dignity Health Chandler Regional Medical Center, Chandler, AZ, USA., Hammad H; The University of Arizona Cancer Center, Tucson, AZ, USA.; Division of Hematology/Oncology, Department of Medicine, University of Arizona Caner Center, Tucson, AZ, USA., Pennington DR; The University of Arizona Cancer Center, Tucson, AZ, USA.; Division of Hematology/Oncology, Department of Medicine, University of Arizona Caner Center, Tucson, AZ, USA., Golconda U; Department of Pathology, College of Medicine, University of Arizona, Tucson, AZ, USA., Gavini H; Division of Hematology/Oncology, Department of Medicine, University of Arizona Caner Center, Tucson, AZ, USA., Roe DJ; The University of Arizona Cancer Center, Tucson, AZ, USA., Shroff RT; The University of Arizona Cancer Center, Tucson, AZ, USA.; Division of Hematology/Oncology, Department of Medicine, University of Arizona Caner Center, Tucson, AZ, USA., Nelson MA; The University of Arizona Cancer Center, Tucson, AZ, USA. mnelson@pathology.arizona.edu.; Department of Pathology, College of Medicine, University of Arizona, Tucson, AZ, USA. mnelson@pathology.arizona.edu.; Precision Epigenomics Inc, Tucson, AZ, USA. mnelson@pathology.arizona.edu.

Publikováno v: Clinical epigenetics [Clin Epigenetics] 2022 Feb 22; Vol. 14 (1), pp. 28. Date of Electronic Publication: 2022 Feb 22.

Identification and quantitation of clinically relevant microbes in patient samples: Comparison of three k-mer based classifiers for speed, accuracy, and sensitivity.

Autor: Watts GS; University of Arizona Cancer Center and Department of Pharmacology, University of Arizona, Tucson, Arizona, United States of America., Thornton JE Jr; Department of Biosystems Engineering, University of Arizona, Tucson, Arizona, United States of America., Youens-Clark K; Department of Biosystems Engineering, University of Arizona, Tucson, Arizona, United States of America., Ponsero AJ; Department of Biosystems Engineering, University of Arizona, Tucson, Arizona, United States of America., Slepian MJ; Department of Medicine, University of Arizona, Tucson, Arizona, United States of America.; Department of Biomedical Engineering, University of Arizona, Tucson, Arizona, United States of America.; Arizona Center for Accelerated Biomedical Innovation, University of Arizona, Tucson, Arizona, United States of America., Menashi E; Honor Health Hospital, Scottsdale, Arizona, United States of America., Hu C; Dignity Health Chandler Regional Medical Center, Chandler, Arizona, United States of America., Deng W; Department of Endocrinology, Multidisciplinary Diabetic Foot Medical Center, Affiliated Central Hospital of Chongqing University, Chongqing, China., Armstrong DG; Southwestern Academic Limb Salvage Alliance (SALSA), Department of Surgery, Keck School of Medicine of University of Southern California, Los Angeles, California, United States of America., Reed S; University of Arizona Department of Family and Community Medicine, Tucson, Arizona, United States of America., Cranmer LD; Department of Medicine, University of Washington and Fred Hutchinson Cancer Research Center, and Seattle Cancer Care Alliance, Seattle, Washington, United States of America., Hurwitz BL; Department of Biosystems Engineering, University of Arizona, Tucson, Arizona, United States of America.; BIO5 Institute, University of Arizona, Tucson, Arizona, United States of America.

Publikováno v: PLoS computational biology [PLoS Comput Biol] 2019 Nov 22; Vol. 15 (11), pp. e1006863. Date of Electronic Publication: 2019 Nov 22 (Print Publication: 2019).