A machine learning model for cancer screening in dogs using comprehensive circulating microRNA profiles.

Ruisa Nishida¹, Masashi Takahashi², Kaori Ide³, Masashi Yuki⁴, Shunsuke Noguchi⁵, Yu Furusawa², Hiroaki Hojo¹, Sora Harako¹, Ririka Horikawa¹, Takuya Mizuno^6,7,8, Yasuyuki Momoi⁹

¹Research and Development Division, ARKRAY, Inc., Kyoto 602-0008, Japan.

²Joint Faculty of Veterinary Medicine, Kagoshima University Veterinary Teaching Hospital, Kagoshima University, Kagoshima 890-0065, Japan.

³Laboratory of Veterinary Internal Medicine, Department of Veterinary Medicine, Tokyo University of Agriculture and Technology, Tokyo 183-8509, Japan.

⁴Yuki Animal Hospital, Aichi 455-0021, Japan.

⁵Japan Animal Referral Medical Center Osaka, Osaka 562-0036, Japan.

⁶Laboratory of Molecular Diagnostics and Therapeutics, Joint Faculty of Veterinary Medicine, Yamaguchi University, Yamaguchi 753-8515, Japan.

⁷Division of Translational Research for One Medicine, Research Institute for Cell Design Medical Science, Yamaguchi University, Yamaguchi 753-8515, Japan.

⁸Japan Small Animal Cancer Center, Public Interest Incorporated Foundation Japan Small Animal Medical Center, Saitama 359-0023, Japan.

⁹Department of Veterinary Clinical Pathobiology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo 113-8657, Japan.

PubMed PMC DOI PDF

Abstract

BACKGROUND: MicroRNAs (miRNAs) are non-coding RNAs involved in cancer-related biological processes. To date, no studies have determined that liquid biopsy using miRNA can specifically identify dogs with cancer from a mixed population of dogs with and without non-malignant diseases. HYPOTHESIS/OBJECTIVES: To assess the utility of a diagnostic model that differentiates dogs with cancer from a combi…

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