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Analyses of canine cancer mutations and treatment outcomes using real-world clinico-genomics data of 2119 dogs

Veterinary Science

Analyses of canine cancer mutations and treatment outcomes using real-world clinico-genomics data of 2119 dogs

K. Wu, L. Rodrigues, et al.

This groundbreaking study by Kevin Wu and colleagues examines the striking parallels between canine and human cancers, unveiling key oncogenes and their potential in personalized oncology. With data from over 2,100 dogs, the research showcases how targeted treatments for humans may offer promising insights for canine models, paving the way for innovative drug discovery.

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~3 min • Beginner • English
Abstract
Spontaneous tumors in canines share significant genetic and histological similarities with human tumors, positioning them as valuable models to guide drug development. However, current translational studies have limited real-world evidence as cancer outcomes are dispersed across veterinary clinics and genomic tests are rarely performed on dogs. In this study, we aim to expand the value of canine models by systematically characterizing genetic mutations in tumors and their response to targeted treatments. In total, we collect and analyze survival outcomes for 2119 tumor-bearing dogs and the prognostic effect of genomic alterations in a subset of 1108 dogs. Our analysis identifies prognostic concordance between canines and humans in several key oncogenes, including TP53 and PIK3CA. We also find that several targeted treatments designed for humans are associated with a positive prognosis when used to treat canine tumors with specific genomic alterations, underscoring the value of canine models in advancing drug discovery for personalized oncology.
Publisher
npj Precision Oncology
Published On
Jan 19, 2023
Authors
Kevin Wu, Lucas Rodrigues, Gerald Post, Garrett Harvey, Michelle White, Aubrey Miller, Lindsay Lambert, Benjamin Lewis, Christina Lopes, James Zou
Tags
canine cancers
human cancers
oncogenes
TP53
PIK3CA
genomic alterations
personalized oncology
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