Evidence map›Paper›PMID 39367609›Full record

ReviewVeterinary clinical pathology2025

Advancements in genetic analysis: Insights from a case study and review of next-generation sequencing techniques for veterinary oncology applications.

R Adam Harris, Jillian Nolan, Dylan Ammons, Samantha Beeson, Douglas Thamm, Anne Avery

Abstract readReviewCase Reports
In one paragraph

Review in Veterinary clinical pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

R Adam HarrisDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA.ORCID https://orcid.org/0000-0002-9471-886X
Jillian NolanDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA.
Dylan AmmonsDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA.
Samantha BeesonDepartment of Clinical Sciences, Colorado State University, Fort Collins, Colorado, USA.
Douglas ThammDepartment of Clinical Sciences, Colorado State University, Fort Collins, Colorado, USA.
Anne AveryDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) poses significant challenges in veterinary medicine, with limited treatment options and poor survival rates. While substantial progress has been made in characterizing human AML, translating these advancements to veterinary practice has been hindered by limited molecular understanding and diagnostic tools. The case study presented illustrates the application of whole genome sequencing in diagnosing AML in a dog, showcasing its potential in veterinary oncology. Our approach facilitated comprehensive genomic analysis, identifying mutations in genes that may be associated with AML pathogenesis in dogs, such as KRAS, IKZF1, and RUNX1. However, without supportive evidence of its clinical utility (eg, association with response to treatment or prognosis), the information is limited to exploration. This article reviews the comparative features of canine AML with human AML and discusses strategies to shrink the knowledge gap between human and veterinary medicine with cost-effective next-generation sequencing (NGS) techniques. By utilizing these approaches, the unique and shared molecular features with human AML can be identified, aiding in molecular classification and therapeutic development for both species. Despite the promise of NGS, challenges exist in implementing it into routine veterinary diagnostics. Cost considerations, turnaround times, and the need for robust bioinformatics pipelines and quality control measures must be addressed. Most importantly, analytical and clinical validation processes are essential to ensure the reliability and clinical utility of NGS-based assays. Overall, integrating NGS technologies into veterinary oncology holds great potential for advancing our understanding of AML and improving disease stratification, in hopes of improving clinical outcomes.

Indexed as

Dog DiseasesHigh-Throughput Nucleotide SequencingLeukemia, Myeloid, AcuteAnimalsDogsHumansMutation

Identifiers

PMID39367609
PMCPMC12852973

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.