logo
ResearchBunny Logo
Abstract
Canine spontaneous tumors offer valuable insights into human cancers due to shared genetic and histological similarities. This study analyzed clinico-genomic data from 2119 dogs with tumors, identifying prognostic concordance between canine and human cancers for key oncogenes like *TP53* and *PIK3CA*. The analysis also revealed that several human-designed targeted treatments showed positive prognostic associations with specific canine genomic alterations, highlighting the potential of canine models for personalized oncology drug discovery.
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

Related Publications

Explore these studies to deepen your understanding of the subject.

The COVID-AGICT study: COVID-19 and advanced gastro-intestinal cancer surgical treatment. A multicentric Italian study on the SARS-CoV-2 pandemic impact on gastro-intestinal cancers surgical treatment during the 2020. Analysis of perioperative and short-term oncological outcomes
Medicine and Health

The COVID-AGICT study: COVID-19 and advanced gastro-intestinal cancer surgical treatment. A multicentric Italian study on the SARS-CoV-2 pandemic impact on gastro-intestinal cancers surgical treatment during the 2020. Analysis of perioperative and short-term oncological outcomes

G. Giuliani, F. Guerra, et al.

Predictive model of castration resistance in advanced prostate cancer by machine learning using genetic and clinical data: KYUCOG-1401-A study
Medicine and Health

Predictive model of castration resistance in advanced prostate cancer by machine learning using genetic and clinical data: KYUCOG-1401-A study

M. Shiota, S. Nemoto, et al.

UroPredict: Machine learning model on real-world data for prediction of kidney cancer recurrence (UroCCR-120)
Medicine and Health

UroPredict: Machine learning model on real-world data for prediction of kidney cancer recurrence (UroCCR-120)

G. Margue, L. Ferrer, et al.

Evaluation of care with intravitreal aflibercept treatment for UK patients with diabetic macular oedema: DRAKO study 24-month real-world outcomes
Medicine and Health

Evaluation of care with intravitreal aflibercept treatment for UK patients with diabetic macular oedema: DRAKO study 24-month real-world outcomes

S. Sivaprasad, F. Ghanchi, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs—just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny