Jingxiao Chen

The paper quantifies tumor-specific total mRNA expression from bulk data and shows its association with clinical outcomes across 15 cancer types.

The paper estimates penetrance for first and second primary cancer diagnoses in Li-Fraumeni syndrome families and validates a risk prediction model with an AUC of 0.77.

The paper estimates cancer-specific penetrance in Li-Fraumeni syndrome using a statistical model and validates it across multiple cohorts, showing age-dependent risk patterns for different cancer types.

The paper presents an R pipeline using DeMixT for tumor-stroma-immune transcriptome deconvolution, showing immune proportion variations in COAD and PRAD datasets.