Evidence map›Paper›PMID 36220861›Full record

ArticleScientific reports2022

Transcription profiling of feline mammary carcinomas and derived cell lines reveals biomarkers and drug targets associated with metabolic and cell cycle pathways.

José Luis Granados-Soler, Leila Taher, Julia Beck, Kirsten Bornemann-Kolatzki, Bertram Brenig, Verena Nerschbach, Fernando Ferreira, Johannes Junginger, Marion Hewicker-Trautwein, Hugo Murua Escobar and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. 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
0.3field-weighted citation impact, top 40% 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, 2 citations in OpenAlex.

  1. Article
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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 6 institutions in 4 countries.

José Luis Granados-SolerSchool of Veterinary Science, The University of Queensland, Gatton, Australia.
Leila TaherInstitute of Biomedical Informatics, Graz University of Technology, Graz, Austria.
Julia BeckChronix Biomedical, Göttingen, Germany.
Kirsten Bornemann-KolatzkiChronix Biomedical, Göttingen, Germany.
Bertram BrenigInstitute of Veterinary Medicine, University of Göttingen, Göttingen, Germany.
Verena NerschbachSmall Animal Clinic, University of Veterinary Medicine Hannover Foundation, Hannover, Germany.
Fernando FerreiraFaculty of Veterinary Medicine, CIISA - Centre for Interdisciplinary Research in Animal Health, University of Lisbon, Lisbon, Portugal.
Johannes JungingerDepartment of Pathology, University of Veterinary Medicine Hannover Foundation, Hannover, Germany.
Marion Hewicker-TrautweinDepartment of Pathology, University of Veterinary Medicine Hannover Foundation, Hannover, Germany.
Hugo Murua Escobar *Haematology, Oncology and Palliative Medicine, Clinic III, University of Rostock, Rostock, Germany.
Ingo Nolte *Small Animal Clinic, University of Veterinary Medicine Hannover Foundation, Hannover, Germany. ingo.nolte@gmx.net.
University of Veterinary Medicine Hannover, Foundation · DEGraz University of Technology · ATUniversity of Göttingen · DEUniversity of Lisbon · PTUniversity of Queensland · AUUniversity of Rostock · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular heterogeneity of feline mammary carcinomas (FMCs) represents a prognostic and therapeutic challenge. RNA-Seq-based comparative transcriptomic profiling serves to identify recurrent and exclusive differentially expressed genes (DEGs) across sample types and molecular subtypes. Using mass-parallel RNA-Seq, we identified DEGs and performed comparative function-based analysis across 15 tumours (four basal-like triple-negative [TN], eight normal-like TN, and three luminal B fHER2 negative [LB fHER2-]), two cell lines (CL, TiHo-0906, and TiHo-1403) isolated from the primary tumours (LB fHER2-) of two cats included in this study, and 13 healthy mammary tissue controls. DEGs in tumours were predominantly upregulated; dysregulation of CLs transcriptome was more extensive, including mostly downregulated genes. Cell-cycle and metabolic-related DEGs were upregulated in both tumours and CLs, including therapeutically-targetable cell cycle regulators (e.g. CCNB1, CCNB2, CDK1, CDK4, GTSE1, MCM4, and MCM5), metabolic-related genes (e.g. FADS2 and SLC16A3), heat-shock proteins (e.g. HSPH1, HSP90B1, and HSPA5), genes controlling centrosome disjunction (e.g. RACGAP1 and NEK2), and collagen molecules (e.g. COL2A1). DEGs specifically upregulated in basal-like TN tumours were involved in antigen processing and presentation, in normal-like TN tumours encoded G protein-coupled receptors (GPCRs), and in LB fHER2- tumours were associated with lysosomes, phagosomes, and endosomes formation. Downregulated DEGs in CLs were associated with structural and signalling cell surface components. Hence, our results suggest that upregulation of genes enhancing proliferation and metabolism is a common feature among FMCs and derived CLs. In contrast, the dissimilarities observed in dysregulation of membrane components highlight CLs' disconnection with the tumour microenvironment. Furthermore, recurrent and exclusive DEGs associated with dysregulated pathways might be useful for the development of prognostically and therapeutically-relevant targeted panels.

Indexed as

CarcinomaGene Expression ProfilingAnimalsBiomarkersCatsCell CycleCell LineHeat-Shock ProteinsTranscriptomeTumor MicroenvironmentBiomarkersHeat-Shock Proteins

Identifiers

PMID36220861
PMCPMC9553959
OpenAlexW4304194112

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.