SAMRS: A Macrophage-Derived Risk Score for Lung Adenocarcinoma Prognosis

A Scissor-Associated Macrophage Risk Score (SAMRS) model was developed by integrating single-cell RNA-seq data from GEO with bulk transcriptomic profiles from TCGA-LUAD. Author Yueyue Shi published this prognostic tool under a CC-BY-4.0 license on figshare in May 2026. The model links specific macrophage subsets to poor prognosis and oncogenic pathway activity, validated across multiple cohorts.

Use Cases

• Prognostic stratification of lung adenocarcinoma patients based on the SAMRS model.
• Predicting immunotherapy response likelihood based on the described link between SAMRS scores and immune evasion signals.
• Investigating macrophage subpopulation roles in tumor progression using the identified phenotype-associated subsets.
• Validating candidate genes like TIMP1 across bulk, single-cell, and spatial transcriptomic analyses.

Strengths

• Model was validated across multiple independent cohorts, suggesting robustness.
• Integrates data from multiple sources, including GEO single-cell datasets and TCGA-LUAD transcriptomic profiles.
• Includes multi-modal validation through genomic features, cell communication analysis, and functional experiments.

Limitations

• The dataset is very small at 11.1 KB, indicating limited raw data scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analyses.

Provenance

Source

Integrated data from GEO (single-cell) and TCGA-LUAD (bulk transcriptomic).

Collection Method

Scissor algorithm applied to map clinical phenotypes onto single cells, followed by machine learning model construction.

Freshness

Last updated 2026-05-14 04:29:52; freshness should be verified.