Omics · study · 2026
Investigating the contribution of early and late disseminated tumor cells in lung metastasis progression
Listed in NCBI GEO
Recent pioneering work in the field has not only described the presence of early neoplasm-derived cancer cells in the metastatic niche but has elucidated several underlying mechanisms responsible for their seeding.
Description
Yet, it remains unclear how early cancer cells interact with their new cellular environment once disseminated. In the present work, we aimed to address the knowledge gap related to how the immune microenvironment responds to and influences the fate of early compared to later arriving disseminated tumor cell (DTC) seeds.
To distinguish early vs. late seeding cancer cells, we first engineered barcoded cancer cell lines and then conducted multiple, staggered injections in a triple negative breast cancer (TNBC) lung metastasis context. Our preliminary data showed that early timepoint injected cancer cells preferentially proliferate despite not harboring genetic and transcriptomic advantages compared to later arriving cancer cells. Furthermore, single cell RNA-seq analysis of barcoded cancer cells extracted from lung metastases and immune cells revealed an anti-inflammatory tumor associated macrophage (TAM) cluster expressing high triggering receptor expressed on macrophages 2 (Trem2) program genes and complement component q (C1q).
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE309nnn/GSE309120 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE309120 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1333998 ncbi.nlm.nih.gov/bioproject/PRJNA1333998 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Mus musculus · 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 | GSE309120 | 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[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:10090 | 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 |