Evidence map›Paper›PMID 42655835›Full record

ReviewVeterinary sciences2026

Mechanistic Insights into Wildlife Cancer and Conservation Strategies Under the One Health Framework.

Qiangqiang Wang, Xiaoxuan Feng, Yurun Su, Naiwen Zhang, Yevheniia Dudnyk, Hongxuan He

Abstract readReview
In one paragraph

Review in Veterinary sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Qiangqiang WangMinistry of Education Key Laboratory for Animal Pathogens and Biosafety, College of Animal Science and Technology, Henan Institute of Science and Technology, Xinxiang 453003, China.ORCID 0009-0001-6826-813X
Xiaoxuan FengMinistry of Education Key Laboratory for Animal Pathogens and Biosafety, College of Animal Science and Technology, Henan Institute of Science and Technology, Xinxiang 453003, China.
Yurun SuMinistry of Education Key Laboratory for Animal Pathogens and Biosafety, College of Animal Science and Technology, Henan Institute of Science and Technology, Xinxiang 453003, China.
Naiwen ZhangMinistry of Education Key Laboratory for Animal Pathogens and Biosafety, College of Animal Science and Technology, Henan Institute of Science and Technology, Xinxiang 453003, China.
Yevheniia DudnykPolymerase Chain Diagnostics Research Laboratory, Sumy National Agrarian University, Herasym Kondratiev 160, 40021 Sumy, Ukraine.
Hongxuan HeInstitute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.

Funding

National Forestry and Grassland Administration, China,National Science and Technology Major Project 2025ZD01900103
6 · The paper itself

Abstract

Cancer is increasingly recognized as an emerging concern in wildlife health and biodiversity conservation in the Anthropocene. Although traditionally viewed as an individual disease associated primarily with aging, wildlife cancer is shaped by complex interactions among environmental changes, species-specific evolutionary adaptations, and ecological processes. This review synthesizes current knowledge on the ecological and evolutionary drivers of wildlife cancer by integrating evidence from comparative oncology, environmental toxicology, wildlife pathology, and conservation biology. We examine how anthropogenic stressors, including pollution, habitat degradation, climate change, and infectious agents, influence cancer susceptibility in wild populations, and summarize intrinsic mechanisms underlying interspecific variation in cancer vulnerability, including Peto's paradox, enhanced tumor suppression, and adaptive immune surveillance. We further highlight major methodological challenges, including limited surveillance capacity, fragmented datasets, taxonomic biases, and insufficient integration between cancer biology and conservation science. Finally, we discuss emerging interdisciplinary approaches, such as standardized monitoring frameworks, multi-omics technologies, artificial intelligence-assisted diagnosis, and One Health-based strategies, to advance wildlife cancer research and management. Collectively, this review positions wildlife cancer as an important ecological and evolutionary phenomenon and provides perspectives for incorporating cancer surveillance into biodiversity conservation and ecosystem health assessment.

Indexed as

cancer ecologyconservation biologyenvironmental carcinogenesisOne Healthwildlife cancer

Identifiers

PMID42655835
PMCPMC13517172

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.