Åslaug Helland

This study shows that mass spectrometry-based proteomics can profile FFPE lung cancer biopsies from single glass slides, providing actionable protein and biomarker data from limited clinical material.

The paper identifies breast cancer risk variants associated with tumor subtypes and shows their differential effects on luminal and non-luminal subtypes.

The paper introduces a network-based feature selection framework for lung adenocarcinoma prognosis, achieving high prediction performance using EMT-related signatures.

The paper identifies SNPs associated with mammographic density and breast cancer risk by integrating SNP analyses with mRNA expression and hormone levels.

The paper identifies haplotypes and LD patterns in 80 genes that differ between breast cancer patients and controls, and finds negative correlations in LD patterns for some genes.