Evidence map›Paper›PMID 34469478›Full record

ArticlePloS one2021

Loss of miR-1469 expression mediates melanoma cell migration and invasion.

Mallory J DiVincenzo, Zoe Barricklow, Emily Schwarz, Maribelle Moufawad, J Harrison Howard, Lianbo Yu, Catherine Chung, Alejandro A Gru, William E Carson

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 53% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Machine learning-driven prediction of brain metastasis in lung adenocarcinoma using miRNA profile and target gene pathway analysis of an mRNA dataset.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Article
  4. 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 at 3 institutions in 1 country.

Mallory J DiVincenzoDepartment of Veterinary Biosciences, The Ohio State University, Columbus, Ohio, United States of America.
Zoe BarricklowThe Arthur G. James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, Ohio, United States of America.ORCID 0000-0002-6041-8164
Emily SchwarzBiomedical Sciences Graduate Program, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.
Maribelle MoufawadThe Arthur G. James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, Ohio, United States of America.ORCID 0000-0003-2383-1555
J Harrison HowardThe Arthur G. James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, Ohio, United States of America.
Lianbo YuThe Arthur G. James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, Ohio, United States of America.
Catherine ChungThe Arthur G. James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, Ohio, United States of America.
Alejandro A GruDepartment of Pathology, University of Virginia, Charlottesville, Virginia, United States of America.
William E CarsonThe Arthur G. James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, Ohio, United States of America.ORCID 0000-0001-7024-7533
The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute · USThe Ohio State University · USUniversity of Virginia · US

Funding

ONOCOLOGY TRAINING GRANTT32CA009338 · NCI · OHIO STATE UNIVERSITY · PI BYRD, JOHN C., POLLOCK, RAPHAEL E. · 1985 to 2018
$8.3M
NCI NIH HHS T32 CA009338
6 · The paper itself

Abstract

Tumor ulceration is considered one of the most prognostically significant findings in primary cutaneous melanoma, associated with decreased disease-free and overall survival. However, the unique features associated with ulcerated melanoma that contribute to a poor prognosis in affected patients remain poorly defined. microRNAs are small, non-coding RNAs that function to inhibit expression of specific gene targets, therefore altering the functions of cells in which they are expressed. miR-1469 is a novel miR with significantly decreased expression in ulcerated melanoma tissue relative to non-ulcerated tumors. We hypothesized that loss of miR-1469 expression in melanoma contributes to altered tumor cell functions mediating disease progression. Transfection of a miR-1469 mimic resulted in a significant reduction in the migratory and invasive capacity of the CHL1 and MEL39 melanoma cell lines (>58.1% reduction, p < 0.0332), as well as the invasive capacity of the A375 melanoma cell line (>50% reduction, p < 0.0021). Expression of myeloid cell leukemia-1 (MCL1), a miR-1469 target gene, was reduced in the A375 and MEL39 cell lines by immunoblot. No significant differences in viability, resistance to apoptotic stimuli, or proliferation were observed following transfection. These findings together demonstrate how migration and invasion are specific functions through which miR-1469 expression in melanoma cells can contribute to the differences in disease progression associated with tumor ulceration.

Indexed as

ApoptosisBiopsyCell Line, TumorCell MovementDisease ProgressionGene Expression Regulation, NeoplasticHumansMelanomaMicroRNAsMyeloid Cell Leukemia Sequence 1 ProteinNeoplasm InvasivenessSkinSkin NeoplasmsSkin UlcerMCL1 protein, humanMicroRNAsMIRN1469 microRNA, humanMyeloid Cell Leukemia Sequence 1 Protein

Identifiers

PMID34469478
PMCPMC8409617
OpenAlexW3196866696

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.