Omics · study · 2026
Nitrofurantoin Enhances Cuproptosis Sensitivity in Cancer Cells Through SLC11A2-Dependent Copper Homeostasis
Listed in NCBI GEO
Cancer patients are frequently exposed to antibiotics during treatment, yet whether antibiotics can directly modulate tumor cell sensitivity to specific forms of regulated cell death remains poorly understood.
Description
Cuproptosis is a recently characterized form of regulated cell death driven by intracellular copper homeostasis imbalance and mitochondrial proteotoxicity, offering new therapeutic opportunities for cancer treatment.
In this study, we performed an antibiotic compound screen by combining clinically used antibiotics with the cuproptosis inducer elesclomol/Cu in tumor cells and identified nitrofurantoin (NFT) as a potent and relatively selective cuproptosis sensitizer. Mechanistically, multi-omics integration and functional validation revealed that NFT reshapes metal ion homeostasis and enhances copper toxicity by modulating the membrane localization of the divalent metal transporter SLC11A2.
Read the rest (2 more)
Knockdown of SLC11A2 significantly reduced intracellular copper signaling and reversed the sensitizing effect of NFT on cuproptosis. Furthermore, transcriptomic analysis identified PPP1R15A as a key node of the integrated stress response, which amplifies cuproptosis-related proteotoxicity through endoplasmic reticulum stress. In three-dimensional tumor spheroid and in vivo models, NFT enhanced the antitumor efficacy of cuproptosis inducers, whereas SLC11A2 knockdown suppressed this effect.
Analyses of public tumor cohorts and immunotherapy cohorts revealed that SLC11A2 and PPP1R15A expression correlated with survival outcomes and immunotherapy responses in certain tumor types. Collectively, these findings provide a mechanistic framework for understanding how concomitant medication influences tumor cell death sensitivity and suggest SLC11A2 as a potential target for predicting and enhancing cuproptosis-directed therapeutic responses.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE345nnn/GSE345120 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE345120 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1518856 ncbi.nlm.nih.gov/bioproject/PRJNA1518856 ↗
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 | GSE345120 | 14 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 |