TCIA NSCLC-Radiomics-Genomics Lung3
Overview
The Lung3 collection is a radiogenomics cohort of 89 NSCLC patients at MAASTRO Clinic (Maastricht, Netherlands) with matched pretreatment CT imaging and whole-genome Affymetrix gene expression profiling (HuRSTA_2a520709 array, 21,766 genes). It was used by Aerts et al. 2014 to link radiomic features to gene sets via GSEA, demonstrating that intratumour-heterogeneity radiomic features correlate with cell-cycling / proliferation pathways. Publicly available on TCIA as NSCLC-Radiomics-Genomics. PMID:24892406
Composition
- Cancer type: NSCLC, n=89.
- Modality: CT (pretreatment) + Affymetrix HuRSTA_2a520709 gene expression microarray (21,766 genes).
- Annotations: manual tumour delineations; gene-set enrichment analysis (GSEA) against MSigDB C5/GO collection at FDR ≤20%.
- Role in Aerts 2014: radiogenomics arm; the only cohort used for molecular correlations. PMID:24892406
Assays / panels (linked)
- CT radiomics — 440-feature library.
- Gene expression microarray (Affymetrix HuRSTA_2a520709).
Papers using this cohort
- PMID:24892406 — Aerts et al. 2014, Nature Communications: Lung3 used for GSEA-based radiogenomics; all four signature features show enriched gene sets; heterogeneity features (III and IV) correlate with cell-cycling pathways.
Notable findings derived from this cohort
- All four features of the locked radiomic signature showed significant GSEA enrichment against the MSigDB C5 GO gene-set collection (FDR ≤20%) in Lung3. PMID:24892406
- The two intratumour-heterogeneity features (Grey Level Nonuniformity and wavelet Grey Level Nonuniformity HLH) correlated with cell-cycling / proliferation pathways, suggesting that more heterogeneous CT phenotypes reflect higher tumour proliferation. PMID:24892406
Sources
- TCIA collection: NSCLC-Radiomics-Genomics — https://www.cancerimagingarchive.net/collection/nsclc-radiomics-genomics/
- PMID:24892406 — Aerts et al. 2014, Nature Communications, DOI 10.1038/ncomms5006.
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