Omics · study · 2026
Trivalent arsenicals enhance UVA-associated genomic instability in human keratinocyte models
Listed in NCBI GEO
Inorganic arsenic is a well-established human carcinogen strongly associated with non-melanoma skin cancer, yet its interaction with solar radiation remains incompletely understood.
Description
Arsenic-related tumors arise preferentially in sun-exposed regions and frequently exhibit mutational patterns associated with oxidative stress rather than classical ultraviolet B signatures, implicating ultraviolet A (UVA) radiation as a potential co-exposure factor.
Here, we evaluated the effects of physiologically relevant concentrations of trivalent arsenicals on UVA-associated genomic instability using keratinocyte models differing in p53 status. A multi-endpoint platform integrating comet assay kinetics, micronucleus analysis, Bliss synergy modeling, and transcriptomic profiling was used to characterize combinational responses. Sub-micromolar arsenicals alone produced minimal cytotoxicity and negligible increases in comet-detectable DNA damage.
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In contrast, co-exposure with UVA significantly increased chromosomal instability, particularly in p53-deficient and p53-mutant cells, despite limited additional comet signal. Repair kinetics demonstrated efficient lesion resolution in primary keratinocytes, whereas monomethylarsonous acid (MMA(III)) selectively impaired repair progression in p53-mutant HaCaT cells. Transcriptomic analysis identified altered expression of replication- and checkpoint-associated pathways in transformed keratinocytes.
Across models, micronucleus formation was disproportionately elevated relative to measurable strand-break induction, indicating a dissociation between initial DNA damage and downstream genomic outcomes. Collectively, these findings support a model in which arsenicals enhance UVA-associated genomic instability by altering the processing and persistence of oxidative DNA damage rather than substantially increasing initial lesion burden.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE336nnn/GSE336622 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE336622 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1482107 ncbi.nlm.nih.gov/bioproject/PRJNA1482107 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE336622 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |