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This research aims to explore the shared molecular features between lung cancer and tuberculosis granulomas through transcriptomic analysis.

Abstract 4193: Heterogeneous graph neural network meta-analysis of lung cancer and tuberculosis transcriptomic datasets reveals convergent host response networks

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Meta-analysis reveals shared gene expression pathways in lung cancer and tuberculosis granulomas, suggesting potential therapeutic targets.

This research aims to explore the shared molecular features between lung cancer and tuberculosis granulomas through transcriptomic analysis.
Performed meta-analysis on 450 RNA-seq samples from patients with lung cancer, TB, and healthy controls.
Processed FASTQ files to create count matrices and employed DESeq2 for differential gene expression assessment.
Constructed co-expression networks using WGCNA with batch correction.
Developed a Heterogeneous Graph Transformer for modeling gene interactions comprehensively.
Identified distinct gene expression clusters indicating convergent pathways between lung cancer and TB granulomas.
Overlapping immune and oncogenic signaling pathways were enriched, including NF-κB and PI3K-Akt.
Highlighted chromatin remodeling and epigenetic plasticity as shared themes.
Proposed chronic inflammation and immune mimicry as key mechanisms potentially serving as biomarkers.

Triska et al. (2026) studied this question.

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View Full Paper

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Authors

Meta-analysis reveals shared gene expression pathways in lung cancer and tuberculosis granulomas, suggesting potential therapeutic targets.

This research aims to explore the shared molecular features between lung cancer and tuberculosis granulomas through transcriptomic analysis.
Performed meta-analysis on 450 RNA-seq samples from patients with lung cancer, TB, and healthy controls.
Processed FASTQ files to create count matrices and employed DESeq2 for differential gene expression assessment.
Constructed co-expression networks using WGCNA with batch correction.
Developed a Heterogeneous Graph Transformer for modeling gene interactions comprehensively.
Identified distinct gene expression clusters indicating convergent pathways between lung cancer and TB granulomas.
Overlapping immune and oncogenic signaling pathways were enriched, including NF-κB and PI3K-Akt.
Highlighted chromatin remodeling and epigenetic plasticity as shared themes.
Proposed chronic inflammation and immune mimicry as key mechanisms potentially serving as biomarkers.

Triska et al. (2026) studied this question.

View Full Paper

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