Evidence map›Paper›PMID 39719251›Full record

ArticleToxicology and applied pharmacology2025

Dysregulation of mRNA expression by hsa-miR-186 overexpression in arsenic-induced skin carcinogenesis.

Mayukh Banerjee, Angeliki Lykoudi, Jae Y Hwang, Jianmin Pan, Shesh N Rai, Juw W Park, J Christopher States

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Toxicology and applied pharmacology, 2025. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors.

Mayukh BanerjeeDepartment of Pharmacology and Toxicology, University of Louisville, 505 S. Hancock Street, Louisville, KY 40202, USA; Center for Integrative Environmental Health Sciences, University of Louisville, 505 S. Hancock Street, Louisville, KY 40202, USA.
Angeliki LykoudiDepartment of Pharmacology and Toxicology, University of Louisville, 505 S. Hancock Street, Louisville, KY 40202, USA.
Jae Y HwangCenter for Integrative Environmental Health Sciences, University of Louisville, 505 S. Hancock Street, Louisville, KY 40202, USA; Brown Cancer Center, University of Louisville, 505 S. Hancock Street, Louisville, KY 40202, USA; Department of Medicine, University of Louisville, 505 S. Hancock Street, Louisville, KY 40202, USA.
Jianmin PanCenter for Integrative Environmental Health Sciences, University of Louisville, 505 S. Hancock Street, Louisville, KY 40202, USA; Cancer Data Science Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Biostatistics and Informatics Shared Resources, University of Cincinnati Cancer Center, Cincinnati, OH, USA; Department of Biostatistics, Health Informatics and Data Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Department of Bioinformatics and Biostatistics, University of Louisville, 505 S. Hancock Street, Louisville, KY 40202, USA.
Shesh N RaiCenter for Integrative Environmental Health Sciences, University of Louisville, 505 S. Hancock Street, Louisville, KY 40202, USA; Cancer Data Science Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Biostatistics and Informatics Shared Resources, University of Cincinnati Cancer Center, Cincinnati, OH, USA; Department of Biostatistics, Health Informatics and Data Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Department of Bioinformatics and Biostatistics, University of Louisville, 505 S. Hancock Street, Louisville, KY 40202, USA.
Juw W ParkCenter for Integrative Environmental Health Sciences, University of Louisville, 505 S. Hancock Street, Louisville, KY 40202, USA; Brown Cancer Center, University of Louisville, 505 S. Hancock Street, Louisville, KY 40202, USA; Department of Medicine, University of Louisville, 505 S. Hancock Street, Louisville, KY 40202, USA.
J Christopher StatesDepartment of Pharmacology and Toxicology, University of Louisville, 505 S. Hancock Street, Louisville, KY 40202, USA; Center for Integrative Environmental Health Sciences, University of Louisville, 505 S. Hancock Street, Louisville, KY 40202, USA. Electronic address: jcstates@louisville.edu.

Funding

Mechanism for arsenic induced carcinogenesisR01ES027778 · UNIVERSITY OF LOUISVILLE · 2025 to 2025
$805k
NIEHS NIH HHS P30 ES030283NIEHS NIH HHS R01 ES027778
6 · The paper itself

Abstract

Dysregulated miRNA expression contributes to development of arsenic-induced cutaneous squamous cell carcinoma (cSCC). hsa-miR-186 (miR-186) is overexpressed in arsenical cSCC tissues as well as in preclinical cell line model of arsenical cSCC. Simultaneous miR-186 overexpression and chronic inorganic trivalent arsenite (iAs; 100 nM) exposure transformed human HaCaT cell line preferentially over miR-186 overexpression or iAs exposure alone. Both iAs and miR-186 regulate the expression of wide range of mRNA targets. However, how their interaction impacts the transcriptome-wide mRNA expression landscape ushering in cancer is unknown. We performed longitudinal RNA-seq analysis in passage-matched HaCaT cell clones (±miR-186 overexpression) with simultaneous chronic iAs exposure (0/100 nM) at 12 and 29 weeks. We determined the impact of each factor and their interaction towards differential gene expression and pathway dysregulation employing two different statistical approaches (t-statistic and 2-factor ANOVA). We show that a core set of pathways are dysregulated deterministically irrespective of the statistical approach chosen, possibly representing necessary changes for transformation. The data suggest that each clonal line could take a unique route to dysregulate this core set of pathways necessary for transformation, highlighting the possible role of stochasticity in cancer development. Evidence is presented to sift the strengths and weaknesses of each statistical methodology in providing biological understanding of events that play crucial roles in carcinogenesis in large datasets with multiple contributing variables.

Indexed as

ArsenicArsenitesCarcinogenesisCarcinoma, Squamous CellGene Expression Regulation, NeoplasticMicroRNAsRNA, MessengerSkin NeoplasmsHaCaT CellsHumansArsenicArsenitesMicroRNAsMIRN186 microRNA, humanRNA, MessengerArsenicCarcinogenesismiRNAmRNASkin cancer

Identifiers

PMID39719251
PMCPMC12052204

What Socratic 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 Socratic graph.