Evidence map›Paper›PMID 34521293›Full record

ArticleVeterinary pathology2022

Beclin-1 is a novel predictive biomarker for canine cutaneous and subcutaneous mast cell tumors.

Britta J Knight, Geoffrey A Wood, Robert A Foster, Brenda L Coomber

Open access · hybridAbstract read
In one paragraph

Article in Veterinary pathology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Circulating Endocannabinoids in Canine Cutaneous Mast Cell Tumor.Animals : an open access journal from MDPI · 2024
    Article
  5. Article
  6. 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

4 authors at 1 institution in 1 country.

Britta J KnightDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.ORCID 0000-0001-6970-2578
Geoffrey A WoodDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
Robert A FosterDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
Brenda L CoomberDepartment of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.ORCID 0000-0002-0776-5562
University of Guelph · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mast cell tumors (MCTs) are the most common skin tumor of the dog, and accurately predicting their clinical behavior is critical in directing patient therapy, as they range from benign lesions to a fatal systemic disease. Grading is useful for prognosis, but it cannot predict the behavior of all MCTs. We hypothesized that biomarker immunolabeling in tumor tissues would correlate with patient morbidity and mortality. A clinically annotated tissue microarray (TMA) of primary, recurrent, and metastatic (to lymph node) canine dermal and subcutaneous MCTs was created. Some dogs whose MCTs were included in the TMA did not receive adjunctive treatment after surgical excision of the MCT, whereas others were treated with one or a combination of chemotherapy, radiation, or oral toceranib. Immunohistochemistry for beclin-1, an autophagy protein, was performed followed by digital image analysis. Beclin-1 immunolabeling was higher in recurrent tumors (mean

Indexed as

Dog DiseasesSkin NeoplasmsAnimalsBeclin-1BiomarkersDogsMast CellsNeoplasm Recurrence, LocalBeclin-1Biomarkersbeclin-1dogmast cell tumorpredictive biomarkersurvivaltissue microarray

Identifiers

PMID34521293
PMCPMC8679166
OpenAlexW3199393087

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.