Table · study · 2026
Plastic additives differentially affect the transcriptome of MCF-7 breast cancer cells
Listed in NCBI GEO
Humans are exposed to chemicals leaching from plastics, yet many remain data-poor and lack toxicological evaluation.
Description
High-throughput transcriptomics (HTTr) offers a scalable approach to screen chemicals of concern and derive mechanistic insights for human health risk assessment. We applied HTTr in MCF-7 breast cancer cells to evaluate plastic additives and dyes effects.
Transcriptomic points of departure (tPODs) were derived from global gene perturbations, pathway-specific, and estrogen receptor α (ERα)–specific measures of gene expression. Transcriptomic biomarkers were also used to assess ERα activity and stress responses. Most plastic additives showed similar toxicological potencies, with the majority producing tPODs within one order of magnitude.
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Bisphenol K (BPK) was the most potent chemical tested, activating ERα at the lowest concentrations, followed by plastic additive 08 (PA08), and bisphenol A (BPA). Despite similar potencies, transcriptomic biomarkers revealed mechanistic differences: plastic additives that shared similar chemical features as BPA activated the ERα, whereas several others with different functional groups inhibited the biomarker. Pathway and upstream regulator analyses further showed that BPA-like plastic additives perturbed ERα–related pathways, while other plastic additives enriched fewer and often of opposing directionality gene sets.
At the highest concentrations tested, many plastic additives also activated stress biomarkers and inhibited proliferation. These findings suggest that while many plastic additives display broadly similar in vitro potencies, they diverge in ERα regulation and downstream pathways. This study demonstrates the reproducibility and utility of HTTr for chemical screening, supports grouping of ERα-active plastic additives for read-across, and highlights the need for further screening of plastic additives.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE312nnn/GSE312456 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE312456 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1373346 ncbi.nlm.nih.gov/bioproject/PRJNA1373346 ↗
project · from NCBI GEO
- PubMed 42010127 pubmed.ncbi.nlm.nih.gov/42010127 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Homo sapiens · Other
- From keywords
- Life Sciences
- Inferred from text
- Bioinformatics and computational biology 70% · Cancer 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE312456 | 15 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].anzsrc:group:3102 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:other | 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 |