Evidence map›Paper›PMID 41420294›Full record

ArticleVeterinary and comparative oncology2026

Tissue Proteomics of Feline Mammary Carcinoma: Differences in Protein Profiles Among Histological Grades Using Liquid Chromatography-Tandem Mass Spectrometry.

Pruettha Aruvornlop, Sekkarin Ploypetch, Walasinee Sakcamduang, Sirintra Sirivisoot, Tanit Kasantikul, Sittiruk Roytrakul, Narumon Phaonakrop, Nlin Arya

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Veterinary and comparative oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

8 authors.

Pruettha AruvornlopFaculty of Veterinary Science, Department of Pre-clinic and Applied Animal Science, Mahidol University, Nakhon Pathom, Thailand.ORCID https://orcid.org/0009-0005-3926-9618
Sekkarin PloypetchFaculty of Veterinary Science, Department of Clinical Sciences and Public Health, Mahidol University, Nakhon Pathom, Thailand.ORCID https://orcid.org/0000-0003-4985-2565
Walasinee SakcamduangFaculty of Veterinary Science, Department of Clinical Sciences and Public Health, Mahidol University, Nakhon Pathom, Thailand.ORCID https://orcid.org/0000-0002-8245-9506
Sirintra SirivisootFaculty of Veterinary Science, Department of Pathology, Center of Excellence in Companion Animal Cancer, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-5809-6936
Tanit KasantikulVeterinary Diagnostic Laboratory, Michigan State University, Lansing, Michigan, USA.ORCID https://orcid.org/0000-0002-1895-8992
Sittiruk RoytrakulFunctional Ingredients and Food Innovation Research Group, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, Thailand.ORCID https://orcid.org/0000-0003-3696-8390
Narumon PhaonakropFunctional Ingredients and Food Innovation Research Group, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, Thailand.ORCID https://orcid.org/0000-0002-9272-7658
Nlin AryaFaculty of Veterinary Science, Department of Pre-clinic and Applied Animal Science, Mahidol University, Nakhon Pathom, Thailand.ORCID https://orcid.org/0000-0002-9061-4270

Funding

Faculty of Veterinary Science, Mahidol UniversityNational Center for Genetic Engineering and Biotechnology
6 · The paper itself

Abstract

Mammary carcinomas are aggressive neoplasms and a significant cause of mortality in female cats. Despite surgical removal, feline mammary carcinoma (FMC) often recurs or metastasizes. Specific tumour biomarkers are necessary for early detection, prognosis and therapy selection. This study aims to identify candidate biomarkers for FMC by comparing tissue proteomic profiles among grades of 31 FMC cats and six normal mammary tissues (control) using liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). Candidate proteins identified by LC-MS/MS were validated by Western blotting and LC-MS/MS. Prognostic values of candidate proteins were evaluated using immunohistochemistry and survival analysis. Protein-chemotherapy drug interaction networks were also evaluated. Among the 268 differential proteins observed, dermatopontin (DPT) expression was significantly downregulated, while sorting nexin 5 (SNX5) expression was elevated in cancerous tissues compared to controls (p < 0.05). Immunohistochemistry results revealed a significant association of DPT and SNX5 with stages (DPT, p < 0.0001; SNX5, p = 0.046) and grades of FMC (DPT, p < 0.0001; SNX5, p = 0.04). Low DPT expression was associated with poor overall survival (p = 0.02), along with Stage 4 FMC (p = 0.0001), high mitotic count (p = 0.003) and the presence of lymphovascular invasion (p = 0.003). Moreover, protein-chemotherapy drug interaction showed a relationship of DPT with doxorubicin, lapatinib and neratinib. This study identified DPT and SNX5 as potential diagnostic and therapeutic targets for FMC, with DPT emerging as a promising prognostic biomarker.

Indexed as

Cat DiseasesMammary Neoplasms, AnimalAnimalsBiomarkers, TumorCatsChromatography, LiquidFemaleImmunohistochemistryPrognosisProteomicsTandem Mass SpectrometryBiomarkers, TumorbiomarkerscatsdermatopontinLC–MS/MSmammary tumoursorting nexin 5

Identifiers

PMID41420294
PMCPMC12875755

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.