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J. Vallon-Christersson

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Open access Oct 2026

Multimodal Gene Expression Deep Learning for Predicting Sentinel Lymph Node Macro-metastasis in Early Breast Cancer: Development and Validation in the SCAN-B Cohort.

BACKGROUND This study evaluates DL using GEX and preoperatively available clinical data (PreopClinic) to predict SLNM, and explores their potential for guiding axillary surgery and prognostic assessment. METHODS We retrospectively included 6,836 clinically node-negative T1-T2 patients with invasive breast cancer who...

Da-Qu Zhang, J. Staaf, P. Bendahl et al. · 0 citations
Open access Aug 2026

Genome-wide DNA methylation profiling of triple-negative breast cancer uncovers epigenetic biomarkers of tumor identity and the immune microenvironment

DNA methylation deregulation is an essential feature of tumor biology, influencing cancer formation and pathogenesis. Analyses of DNA methylation in bulk cancer specimens are challenging due to the high data dimensionality, noise, and mixture of different cell types. Here, we characterized methylation dynamics in cance...

Iñaki Sasiain, D. F. Nacer, M. Jönsson et al. · 1 citation
Open access Aug 2026

Population-scale integration of tumor transcriptomics into breast cancer care: a decade of the SCAN-B initiative

Integration of longitudinal clinical data with molecular profiling enabled characterization of real-world treatment patterns, long-term outcomes, molecular subtypes, risk-of-recurrence, and the somatic mutational landscape in this population-based cohort.

L. Saal, H. Dalal, P. Meng et al. · 0 citations

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