Omics · study · 2026
A contamination-adjusted tissue thrombopoietic framework identifies a clinically relevant CAF-myeloid niche in non-small cell lung cancer: a paired transcriptomic and survival study
Listed in NCBI GEO
Platelet-related cancer biology is often studied through circulating markers, but tissue-centered thrombopoietic programs in lung cancer are difficult to distinguish from blood-contamination artifacts.
Description
In this study, paired bulk RNA-seq profiles were generated from human non-small cell lung cancer tumor tissues and matched adjacent non-tumor lung tissues. Sample identifiers beginning with C denote tumor tissue libraries, and identifiers beginning with N denote matched adjacent non-tumor tissue libraries; shared numeric suffixes indicate patient pairing.
These data were used as the local discovery layer for a contamination-adjusted megakaryopoiesis-platelet tumor axis (MPTA) framework. The analysis combined paired differential expression, explicit contamination-aware score construction, public single-cell and spatial reference analyses, external cohort assessment, and local clinicopathologic and survival evaluation. The deposited sequencing data support the tumor-adjacent transcriptomic comparisons and locked tissue-centered MPTA score construction described in the manuscript.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE329nnn/GSE329380 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE329380 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1458781 ncbi.nlm.nih.gov/bioproject/PRJNA1458781 ↗
project · from NCBI GEO
- PubMed 42057042 pubmed.ncbi.nlm.nih.gov/42057042 ↗
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% · RNA sequencing 65% · Sequencing 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE329380 | 11 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[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |