Evidence map›Paper›PMID 39406779›Full record

ArticleScientific reports2024

Identification of mutations in canine oral mucosal melanomas by exome sequencing and comparison with human melanomas.

Maria Lucia Zaidan Dagli, Márcia Kazumi Nagamine, Tatícia Lieh Ikeda, Ivone Izabel Mackowiak da Fonseca, Frederico Schmitt Kremer, Fabiana Kommling Seixas, Carolina Dagli Hernandez, João Vitor Pereira Leite, Cassia Correa Yasumaru, Cristina Oliveira Massoco and 3 more

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 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. 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

13 authors.

Maria Lucia Zaidan DagliLaboratory of Experimental and Comparative Oncology, Department of Pathology, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, SP, Brazil. mlzdagli@usp.br.ORCID 0000-0001-7031-6711
Márcia Kazumi NagamineLaboratory of Experimental and Comparative Oncology, Department of Pathology, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, SP, Brazil.
Tatícia Lieh IkedaLaboratory of Experimental and Comparative Oncology, Department of Pathology, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, SP, Brazil.
Ivone Izabel Mackowiak da FonsecaLaboratory of Experimental and Comparative Oncology, Department of Pathology, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, SP, Brazil.
Frederico Schmitt KremerOmixlab - Laboratory of Bioinformatics, Federal University of Pelotas, Pelotas, RS, Brazil.
Fabiana Kommling SeixasLaboratory of Cancer Biotechnology, Federal University of Pelotas, Pelotas, RS, Brazil.
Carolina Dagli HernandezSchool of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, Brazil.
João Vitor Pereira LeiteLaboratory of Experimental and Comparative Oncology, Department of Pathology, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, SP, Brazil.
Cassia Correa YasumaruLaboratory of Comparative Imuno-Oncology, Department of Pathology, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, SP, Brazil.
Cristina Oliveira MassocoLaboratory of Comparative Imuno-Oncology, Department of Pathology, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, SP, Brazil.
Ricardo HsiehSchool of Dentistry, University of São Paulo, São Paulo, SP, Brazil.
Silvia Vanessa LourençoSchool of Dentistry, University of São Paulo, São Paulo, SP, Brazil.
Tiago Veiras CollaresLaboratory of Cancer Biotechnology, Federal University of Pelotas, Pelotas, RS, Brazil.

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2019/15261-0Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul 19/2551-0002269-7
6 · The paper itself

Abstract

Oral mucosal melanomas (OMMs) are aggressive neoplasms commonly found in dogs but rare in humans. Utilizing whole exome sequencing (WES), which focuses on protein-coding regions to reveal mutation profiles, we conducted a comparative analysis of canine OMM and human melanomas. This study involved DNA extraction, exome enrichment, and sequencing from three canine OMM cell lines (CMGD-2, CMGD-5, TLM-1), five canine OMM frozen samples, a human OMM cell line (MEMO), and a human commercial skin melanoma cell line (SK-MEL-28). The sequencing and subsequent analysis of FASTQ files yielded final variant files, leading to the identification of mutations. Our findings revealed a total of 500 mutated genes in canine OMM, including significant ones such as EP300, FAT4, JAK3, LRP1B, NCOR1, and NOTCH1. Notably, 82 shared mutations were identified between human melanomas and canine OMM genomes. These mutations were categorized based on the gene functions. The identification of these mutations provides critical insights that can pave the way for the development of novel therapeutic strategies for both canine and human OMM, offering hope for more effective treatments in the future.

Indexed as

Exome SequencingMelanomaMouth MucosaMouth NeoplasmsMutationAnimalsCell Line, TumorDog DiseasesDogsHumansExome sequencingMelanomaMucosaMutationsVariants

Identifiers

PMID39406779
PMCPMC11480479

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.