Omics · study · 2026
Left-Right Asymmetry in the Breast TME is Associated with Distinct Bioelectric and Epigenetic Tumor Features
Listed in NCBI GEO
The tumor microenvironment (TME) plays a pivotal role in cancer progression.
Description
Here, we report a left-right (L-R) asymmetry in the breast TMEs. Bioinformatic analyses of RNASeq data and histological data from TCGA, revealed that R-sided tumors exhibit higher stromal content and are enriched in cancer-associated fibroblasts (CAFs).
These differences were validated in paired L-R PDX and xenograft models, where R-tumors showed increased α-SMA and PDGFRα expression. Associated with laterality, we observed an asymmetry in tumor bioelectric properties: in both PDX and xenograft models, as well as in cells cultured with L-R conditioned media, L-sided tumors consistently displayed a depolarized membrane potential relative to their R counterparts. In-vitro, these features were shown to be epigenetically regulated - abolished by the DNA methyltransferase inhibitor decitabine - and reversible upon inversion of the conditioned media laterality.
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Methylome analyses in animal models revealed that L-tumors are hypermethylated at ion channel genes, particularly gap junction components, correlating with reduced expression. A computational model further demonstrated that bistable states of membrane potential and methylation can spontaneously emerge depending on initial conditions and gap junction coupling strength. Together, these results uncover L-R asymmetry as an overlooked layer of breast tumor heterogeneity which could serve as proof of principle for other tumors in bilateral organs and could have therapeutic implications based on their differential bioelectric and epigenetic profiles.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE339nnn/GSE339572 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE339572 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1499207 ncbi.nlm.nih.gov/bioproject/PRJNA1499207 ↗
project · from NCBI GEO
Topics
- Stated by source
- Homo sapiens · Methylation profiling by high throughput sequencing · Other
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75% · RNA sequencing 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE339572 | 8 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:methylation-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[method].geo_series_type:other | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| 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 |