Evidence map›Paper›PMID 39462388›Full record

ArticleBMC veterinary research2024

Proteomic analysis of extracellular vesicles derived from canine mammary tumour cell lines identifies protein signatures specific for disease state.

Tania Gutierrez-Riquelme, Isabel Karkossa, Kristin Schubert, Gudrun Liebscher, Eva-Maria Packeiser, Ingo Nolte, Martin von Bergen, Hugo Murua Escobar, Matias Aguilera-Rojas, Ralf Einspanier and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC veterinary research, 2024. 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. 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

11 authors.

Tania Gutierrez-RiquelmeInstitute of Veterinary Biochemistry, Department of Veterinary Medicine, Freie Universität Berlin, 14163, Berlin, Germany.
Isabel KarkossaDepartment of Molecular Systems Biology, Helmholtz Centre of Environmental Research GmbH - UFZ, 04318, Leipzig, Germany.
Kristin SchubertDepartment of Molecular Systems Biology, Helmholtz Centre of Environmental Research GmbH - UFZ, 04318, Leipzig, Germany.
Gudrun LiebscherDepartment of Molecular Systems Biology, Helmholtz Centre of Environmental Research GmbH - UFZ, 04318, Leipzig, Germany.
Eva-Maria PackeiserReproductive Unit, Clinic for Small Animals, University of Veterinary Medicine Hannover, Foundation, 30559, Hannover, Germany.
Ingo NolteDepartment of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Foundation, 30559, Hannover, Germany.
Martin von BergenDepartment of Molecular Systems Biology, Helmholtz Centre of Environmental Research GmbH - UFZ, 04318, Leipzig, Germany.
Hugo Murua EscobarDepartment of Internal Medicine, Medical Clinic III, Clinic for Hematology, Oncology and Palliative Care, University Medical Center Rostock, Ernst-Heydemann-Strasse 6, 18057, Rostock, Germany.
Matias Aguilera-RojasDepartment of Medicine, Health and Medical University, 14471, Potsdam, Germany.
Ralf EinspanierInstitute of Veterinary Biochemistry, Department of Veterinary Medicine, Freie Universität Berlin, 14163, Berlin, Germany.
Torsten SteinInstitute of Veterinary Biochemistry, Department of Veterinary Medicine, Freie Universität Berlin, 14163, Berlin, Germany. Torsten.Stein@fu-berlin.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCanine mammary tumours (CMT) are among the most common types of tumours in female dogs. Diagnosis currently requires invasive tissue biopsies and histological analysis. Tumour cells shed extracellular vesicles (EVs) containing RNAs and proteins with potential for liquid biopsy diagnostics. We aimed to identify CMT subtype-specific proteome profiles by comparing the proteomes of EVs isolated from epithelial cell lines derived from morphologically normal canine mammary tissue, adenomas, and carcinomas.

methodsWhole-cell protein lysates (WCLs) and EV-lysates were obtained from five canine mammary cell lines: MTH53A (non-neoplastic); ZMTH3 (adenoma); MTH52C (simple carcinoma); 1305, DT1406TB (complex carcinoma); and their proteins identified by LC-MS/MS analyses. Gene Ontology analysis was performed on differentially abundant proteins from each group to identify up- and down-regulated biological processes. To establish CMT subtype-specific proteomic profiles, weighted gene correlation network analysis (WGCNA) was carried out.

resultsWCL and EVs displayed distinct protein abundance signatures while still showing the same increase in adhesion, migration, and motility-related proteins in carcinoma-derived cell lines, and of RNA processing and RNA splicing factors in the adenoma cell line. WGCNA identified CMT stage-specific co-abundant EV proteins, allowing the identification of adenoma and carcinoma EV signatures not seen in WCLs.

conclusionsEVs from CMT cell lines exhibit distinct protein profiles reflecting malignancy state, allowing us to identify potential biomarkers for canine mammary carcinomas, such as biglycan. Our dataset could therefore potentially serve as a basis for the development of a less invasive clinical diagnostic tool for the characterisation of CMT.

Indexed as

Dog DiseasesExtracellular VesiclesMammary Neoplasms, AnimalProteomicsAdenomaAnimalsBiomarkers, TumorCarcinomaCell Line, TumorDogsFemaleProteomeBiomarkers, TumorProteomeBiglycanCanine mammary tumourCell cultureExtracellular vesiclesProteomicsSize exclusion chromatographyWGCNA

Identifiers

PMID39462388
PMCPMC11515202

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.