Evidence map›Paper›PMID 30655868›Full record

ArticleOncology letters2019

Identification of dysregulated microRNAs in canine malignant melanoma.

Norio Ushio, Md Mahfuzur Rahman, Tadashi Maemura, Yu-Chang Lai, Tomoko Iwanaga, Hiroaki Kawaguchi, Noriaki Miyoshi, Yasuyuki Momoi, Naoki Miura

Abstract read
In one paragraph

Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Epigenetic Mechanisms in Canine Cancer.Frontiers in oncology · 2020
    Review
  10. Micro RNA Transcriptome Profile in Canine Oral Melanoma.International journal of molecular sciences · 2019
    Article
  11. Aging, Melatonin, and the Pro- and Anti-Inflammatory Networks.International journal of molecular sciences · 2019
    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

9 authors.

Norio UshioDepartment of Clinical Veterinary Science, United Graduate School of Veterinary Science, Yamaguchi University, Yamaguchi 753-8511, Japan.
Md Mahfuzur RahmanDepartment of Clinical Veterinary Science, United Graduate School of Veterinary Science, Yamaguchi University, Yamaguchi 753-8511, Japan.
Tadashi MaemuraKagoshima University Veterinary Teaching Hospital, Joint Faculty of Veterinary Medicine, Kagoshima University, Korimoto, Kagoshima 890-0065, Japan.
Yu-Chang LaiDepartment of Clinical Veterinary Science, United Graduate School of Veterinary Science, Yamaguchi University, Yamaguchi 753-8511, Japan.
Tomoko IwanagaKagoshima University Veterinary Teaching Hospital, Joint Faculty of Veterinary Medicine, Kagoshima University, Korimoto, Kagoshima 890-0065, Japan.
Hiroaki KawaguchiDepartment of Hygiene and Health Promotion Medicine, Graduate School of Medicine and Dental Sciences, Kagoshima University, Korimoto, Kagoshima 890-0065, Japan.
Noriaki MiyoshiDepartment of Veterinary Histopathology, Joint Faculty of Veterinary Medicine, Kagoshima University, Korimoto, Kagoshima 890-0065, Japan.
Yasuyuki MomoiDepartment of Veterinary Diagnostic Imaging, Joint Faculty of Veterinary Medicine, Kagoshima University, Korimoto, Kagoshima 890-0065, Japan.
Naoki MiuraDepartment of Clinical Veterinary Science, United Graduate School of Veterinary Science, Yamaguchi University, Yamaguchi 753-8511, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inhibiting aberrantly upregulated microRNAs (miR/miRNAs) has emerged as a novel focus for therapeutic intervention in human melanoma. Thus, identifying upregulated miRNAs is essential for identifying additional melanoma-associated therapeutic targets. In the present study, microarray-based miRNA profiling of canine malignant melanoma (CMM) tissue obtained from the oral cavity was performed and differential expression was confirmed by a reverse transcription-quantitative polymerase chain reaction (RT-qPCR). An analysis of the microarray data revealed 17 dysregulated miRNAs; 5 were upregulated and 12 were downregulated. RT-qPCR analysis was performed for 2 upregulated (miR-204 and miR-383), 3 downregulated (miR-122, miR-143 and miR-205) and 6 additional oncogenic miRNAs (oncomiRs; miR-16, miR-21, miR-29b, miR-92a, miR-125b and miR-222). The expression levels of seven of the miRNAs, miR-16, miR-21, miR-29b, miR-122, miR-125b, miR-204 and miR-383 were significantly upregulated; however, the expression of miR-205 was downregulated in CMM tissues compared with normal oral tissues. The microarray and RT-qPCR analyses validated the upregulation of two potential oncomiRs miR-204 and miR-383. The present study additionally constructed a protein interaction network and a miRNA-target regulatory interaction network using STRING and Cytoscape. In the proposed network, cyclin dependent kinase 2 was a target for miR-383, sirtuin 1 and tumor protein p53 were targets for miR-204 and ATR serine/threonine kinase was a target for both. It was concluded that miR-383 and miR-204 were potential oncomiRs that may be involved in regulating melanoma development by evading DNA repair and apoptosis.

Indexed as

canine melanomamicroarraymicroRNAmicroRNA-target regulatory interaction networkoncomiR

Identifiers

PMID30655868
PMCPMC6313064

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.