Omics · study · 2026
A patient-specific lung tumoroid platform recapitulates tumor microenvironments for modeling in vitro therapeutic responses and immune-stromal interactions
Listed in NCBI GEO
Understanding tumor–stroma–immune interactions is crucial for overcoming resistance to chemo-immunotherapy in non-small cell lung cancer (NSCLC), yet modeling the tumor microenvironment (TME) ex vivo remains challenging.
Description
Here, we developed patient-specific lung cancer tumoroid (LCT) models integrating TME by reassembling lung cancer organoids (LCOs), cancer-associated fibroblasts (CAFs) and immune cells, which isolated and expanded from tumor tissues by using a modular Transwell-based culture system.
LCTs retained major TME components and spatial organization of the primary tumor. The system supported high-fidelity pharmacologic screening, immune profiling, and mechanistic analysis of treatment-induced TME remodeling. Using LCTs, we observed tumor-intrinsic variation in immune engagement, CAF-mediated modulation, and an uncoupling between metabolic activation and immune stimulation.
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The LCT enables functional interrogation of patient-specific stromal–immune–tumor interactions, provides mechanistic insights into chemo-immunotherapy resistance, and offers a clinically relevant tool for precision immune-oncology and organoid-based therapeutic modeling.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE311nnn/GSE311792 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE311792 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1370921 ncbi.nlm.nih.gov/bioproject/PRJNA1370921 ↗
project · from NCBI GEO
- PubMed 42316214 pubmed.ncbi.nlm.nih.gov/42316214 ↗
publication · 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 | GSE311792 | 12 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 |