Evidence map›Paper›PMID 38384948›Full record

ArticleFrontiers in veterinary science2024

Cancer detection in dogs using rapid Raman molecular urinalysis.

John L Robertson, Nikolas Dervisis, John Rossmeisl, Marlie Nightengale, Daniel Fields, Cameron Dedrick, Lacey Ngo, Amr Sayed Issa, Georgi Guruli, Giuseppe Orlando and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.6field-weighted citation impact, top 6% of its field
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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Beyond the Needle: Is Liquid Biopsy the Future of Veterinary Medicine?International journal of molecular sciences · 2026
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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

11 authors at 5 institutions in 1 country.

John L RobertsonDepartment of Biomedical Engineering and Mechanics, College of Engineering, Virginia Tech, Blacksburg, VA, United States.
Nikolas DervisisVirginia Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, VA, United States.
John RossmeislVirginia Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, VA, United States.
Marlie NightengaleVirginia Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, VA, United States.
Daniel FieldsVirginia Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, VA, United States.
Cameron DedrickVirginia Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, VA, United States.
Lacey NgoDepartment of Biomedical Engineering and Mechanics, College of Engineering, Virginia Tech, Blacksburg, VA, United States.
Amr Sayed IssaRametrix Technologies Inc., Blacksburg, VA, United States.
Georgi GuruliDepartment of Surgery, VCU Health, Richmond, VA, United States.
Giuseppe OrlandoDepartment of General Surgery, Wake Forest University School of Medicine, Winston-Salem, NC, United States.
Ryan S SengerRametrix Technologies Inc., Blacksburg, VA, United States.
Virginia Tech · USVirginia–Maryland College of Veterinary Medicine · USChildren's Hospital of Richmond at VCU · USMechanics' Institute · USWake Forest University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The presence of cancer in dogs was detected by Raman spectroscopy of urine samples and chemometric analysis of spectroscopic data. The procedure created a multimolecular spectral fingerprint with hundreds of features related directly to the chemical composition of the urine specimen. These were then used to detect the broad presence of cancer in dog urine as well as the specific presence of lymphoma, urothelial carcinoma, osteosarcoma, and mast cell tumor. Methods: Urine samples were collected via voiding, cystocentesis, or catheterization from 89 dogs with no history or evidence of neoplastic disease, 100 dogs diagnosed with cancer, and 16 dogs diagnosed with non-neoplastic urinary tract or renal disease. Raman spectra were obtained of the unprocessed bulk liquid urine samples and were analyzed by ISREA, principal component analysis (PCA), and discriminant analysis of principal components (DAPC) were applied using the Rametrix Results and discussion: The procedure identified a spectral fingerprint for cancer in canine urine, resulting in a urine screening test with 92.7% overall accuracy for a cancer vs. cancer-free designation. The urine screen performed with 94.0% sensitivity, 90.5% specificity, 94.5% positive predictive value (PPV), 89.6% negative predictive value (NPV), 9.9 positive likelihood ratio (LR+), and 0.067 negative likelihood ratio (LR-). Raman bands responsible for discerning cancer were extracted from the analysis and biomolecular associations were obtained. The urine screen was more effective in distinguishing urothelial carcinoma from the other cancers mentioned above. Detection and classification of cancer in dogs using a simple, non-invasive, rapid urine screen (as compared to liquid biopsies using peripheral blood samples) is a critical advancement in case management and treatment, especially in breeds predisposed to specific types of cancer.

Indexed as

cancerchemometriclymphomamast cell tumorosteosarcomaRaman spectroscopyurineurothelial carcinoma (UC)

Identifiers

PMID38384948
PMCPMC10879274
OpenAlexW4391609497

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.