A new study conducted by researchers from the Karolinska Institute and international collaborators identified reliable biomarkers for prostate cancer using spatial transcriptomics, pseudotime analysis, and machine learning. The approach achieved an area under the curve of 0.92 for detecting prostate cancer using urine biomarkers, outperforming traditional prostate-specific antigen (PSA) testing. The study's methodology and key findings demonstrated the potential clinical utility of these biomarkers and represented an advancement in biomarker discovery by addressing the heterogeneity and complexity of cancer.

Source: Cancer Research