Excel · study · 2026
Multi-Omics Integration Identifies Critical Molecular Drivers and Alternative Splicing Events in Small Cell Lung Cancer
Listed in NCBI GEO
Small cell lung cancer (SCLC) remains a highly aggressive malignancy and a therapeutic challenge in clinical oncology.
Description
Here, we conducted an integrated multi-omics analysis of treatment-naïve human SCLC tissues along with paired adjacent tissues (NAT, n = 12), including transcriptomic, proteomic, phosphoproteomic, and glycoproteomic profiling to identify novel prognostic markers and therapeutic targets. Integration of these datasets revealed significant enrichment of RNA splicing pathway in SCLC.
We systematically characterized aberrant alternative splicing events (AASEs), identifying 6,972 events with exon skipping representing the most prevalent type. These AASEs were regulated by RNA-binding proteins and predominantly enriched in pathways related to tumor proliferation and metastasis. We further identified four splicing-related proteins (THOC1, MAGOHB, RBM8A, and TXNL4A) that were markedly overexpressed in SCLC, correlated with proliferation, and predicted poor prognosis.
Read the rest (1 more)
Functional validation showed that THOC1 knockdown suppressed tumor growth in vivo, potentially through enhanced anti-tumor immunity. Additionally, we present the first N-glycoproteomic atlas of SCLC implicating glycosylated CEACAM proteins as potential biomarkers and revealing aberrantly glycosylated sites and proteins associated with SCLC. Our study unveils novel molecular features underlying SCLC pathogenesis and provides insights for developing therapeutic strategies targeting RNA splicing and protein glycosylation.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE330nnn/GSE330338 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE330338 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1463671 ncbi.nlm.nih.gov/bioproject/PRJNA1463671 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE330338 | 10 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].anzsrc:group:3105 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (71%) |
| 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 |