Radiogenomic Mapping of SMARCAL1-Driven Ferroptotic Niche in Early-Stage NSCLC

A 2026 study by Zehao Huang, nested within the prospective CTONG 2201 trial, investigates pre-operative CT radiomic features for non-invasive mapping of the tumor microenvironment in early-stage non-small cell lung cancer. The dataset likely contains derived radiomic scores, molecular correlates from whole-exome and spatial transcriptomic sequencing, and clinical outcomes for 71 patients, with external validation in two independent cohorts totaling 267 patients. It was published on figshare under a CC-BY-4.0 license.

Use Cases

• Predicting molecular residual disease (MRD) negativity based on pre-operative radiomic features.
• Analyzing the correlation between radiomic scores and tumor mutational burden (TMB) or immune cell infiltration.
• Validating a radiomic signature for metastasis-free survival (MFS) in independent NSCLC cohorts.
• Investigating the spatial organization of ferroptotic niches using transcriptomic data.

Strengths

• Includes multi-modal validation with whole-exome sequencing, bulk RNA-seq, and spatial transcriptomics from 36,318 quality-controlled spatial spots.
• Model performance was externally validated in two independent cohorts (n=178 and n=89) with reported C-indexes of 0.783 and 0.741.
• The radiomic score was derived from 1,432 pre-operative CT features and validated against 13 clinical covariates.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is from a single-center translational cohort, which may limit generalizability.

Provenance

Source

Single-center translational cohort nested within the prospective CTONG 2201 trial (NCT05457049).

Collection Method

Pre-operative CT radiomic feature extraction, molecular sequencing, and multiplex immunofluorescence.

Freshness

Last updated 2026-05-25 06:03:39; freshness should be verified.