Barking up the right tree: Immune checkpoint signatures of human and dog cancers

In the quest for improved therapeutics targeting immune checkpoints (ICs), we turn to spontaneously developing dog (canine) cancers, some of which genetically and clinically mirror the human counterparts. Despite its potential, canine cancer immunology remains largely unexplored. Here, we examine the RNA-seq-based expression of 44 ICs across 14 canine cancer types and an extensive human dataset. We unveil diverse canine IC expression patterns and unique human IC signatures that reflect the histological type and primary site of cancer. We uncover a striking similarity between canine brain cancers, osteosarcoma, and their human counterparts, identifying them as prospective immunotherapy models. Four ICs - CD160, A2AR, NKG2A, and OX40 - are key to the differences observed between species. We also find that individual human IC signatures vary in how well they align with their respective cancer types, a pattern that may influence future approaches to personalized therapy. This exploration highlights aspects of canine and human cancer immunology that warrant further study, setting the stage for discoveries at their crossroads.

Authors

Institutions

Publication Details

Journal
PLoS Computational Biology
Published
2025-08-11
DOI
https://doi.org/10.1371/journal.pcbi.1013270
Citations
1
Primary Topic
Veterinary Oncology Research
Type
article
Field-Weighted Citation Impact
1.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Barking up the right tree: Immune checkpoint signatures of human and dog cancers

Javier A. Alfaro, Maciej Parys, Mikołaj Kocikowski, Marcos Yébenes Mayordomo
1 citations
PLoS Computational Biology
Veterinary Oncology Research
1.52
article

Barking up the right tree: Immune checkpoint signatures of human and dog cancers

Javier A. Alfaro, Maciej Parys, Mikołaj Kocikowski, Marcos Yébenes Mayordomo
article en
1 citations

Abstract

In the quest for improved therapeutics targeting immune checkpoints (ICs), we turn to spontaneously developing dog (canine) cancers, some of which genetically and clinically mirror the human counterparts. Despite its potential, canine cancer immunology remains largely unexplored. Here, we examine the RNA-seq-based expression of 44 ICs across 14 canine cancer types and an extensive human dataset. We unveil diverse canine IC expression patterns and unique human IC signatures that reflect the histological type and primary site of cancer. We uncover a striking similarity between canine brain cancers, osteosarcoma, and their human counterparts, identifying them as prospective immunotherapy models. Four ICs - CD160, A2AR, NKG2A, and OX40 - are key to the differences observed between species. We also find that individual human IC signatures vary in how well they align with their respective cancer types, a pattern that may influence future approaches to personalized therapy. This exploration highlights aspects of canine and human cancer immunology that warrant further study, setting the stage for discoveries at their crossroads.

PLoS Computational BiologyVol. 21(8)
Roslin Institute (GB), University of Victoria (CA), University of Gdańsk (PL), University of Edinburgh (GB)
Fundacja na rzecz Nauki Polskiej
Life in Land
Openalex Percentile: Top 15%
Veterinary Oncology Research
1.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.