Evidence map›Paper›PMID 34768937›Full record

ArticleInternational journal of molecular sciences2021

An RNA-Seq-Based Framework for Characterizing Canine Prostate Cancer and Prioritizing Clinically Relevant Biomarker Candidate Genes.

Heike Thiemeyer, Leila Taher, Jan Torben Schille, Eva-Maria Packeiser, Lisa K Harder, Marion Hewicker-Trautwein, Bertram Brenig, Ekkehard Schütz, Julia Beck, Ingo Nolte and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

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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 3 institutions in 2 countries.

Heike ThiemeyerSmall Animal Clinic, University of Veterinary Medicine Hannover, Foundation, 30559 Hannover, Germany.
Leila TaherInstitute of Biomedical Informatics, Graz University of Technology, 8010 Graz, Austria.
Jan Torben SchilleSmall Animal Clinic, University of Veterinary Medicine Hannover, Foundation, 30559 Hannover, Germany.ORCID 0000-0001-9736-7105
Eva-Maria PackeiserSmall Animal Clinic, University of Veterinary Medicine Hannover, Foundation, 30559 Hannover, Germany.ORCID 0000-0001-6694-3851
Lisa K HarderSmall Animal Clinic, University of Veterinary Medicine Hannover, Foundation, 30559 Hannover, Germany.
Marion Hewicker-TrautweinInstitute of Pathology, University of Veterinary Medicine Hannover, Foundation, 30559 Hannover, Germany.
Bertram BrenigInstitute of Veterinary Medicine, University of Göttingen, 37077 Göttingen, Germany.ORCID 0000-0002-7635-9656
Ekkehard SchützChronix Biomedical GmbH, 37079 Göttingen, Germany.
Julia BeckChronix Biomedical GmbH, 37079 Göttingen, Germany.
Ingo NolteSmall Animal Clinic, University of Veterinary Medicine Hannover, Foundation, 30559 Hannover, Germany.ORCID 0000-0003-4577-3739
Hugo Murua EscobarSmall Animal Clinic, University of Veterinary Medicine Hannover, Foundation, 30559 Hannover, Germany.ORCID 0000-0001-7123-7986
University of Veterinary Medicine Hannover, Foundation · DEGraz University of Technology · ATUniversity of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) in dogs is a highly malignant disease akin to its human counterpart. In contrast to the situation in humans, multi-gene approaches facilitating risk stratification of canine PCa are barely established. The aims of this study were the characterization of the transcriptional landscape of canine PCa and the identification of diagnostic, prognostic and/or therapeutic biomarkers through a multi-step screening approach. RNA-Sequencing of ten malignant tissues and fine-needle aspirations (FNA), and 14 nonmalignant tissues and FNAs was performed to find differentially expressed genes (DEGs) and deregulated pathways. The 4098 observed DEGs were involved in 49 pathways. These 49 pathways could be grouped into five superpathways summarizing the hallmarks of canine PCa: (i) inflammatory response and cytokines; (ii) regulation of the immune system and cell death; (iii) cell surface and PI3K signaling; (iv) cell cycle; and (v) phagosome and autophagy. Among the highly deregulated, moderately to strongly expressed DEGs that were members of one or more superpathways, 169 DEGs were listed in relevant databases and/or the literature and included members of the PCa pathway, oncogenes, prostate-specific genes, and druggable genes. These genes are novel and promising candidate diagnostic, prognostic and/or therapeutic canine PCa biomarkers.

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksTranscriptomeAnimalsBiomarkers, TumorComputational BiologyDogsGene Expression ProfilingMaleProstatic NeoplasmsRNA-SeqBiomarkers, Tumoranimal modelcandidate biomarker genescanine prostate cancermolecular diagnosticsRNA-Sequencingwhole transcriptome analysis

Identifiers

PMID34768937
PMCPMC8584104
OpenAlexW3210234211

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.