Andrology-Open Access
Open Access

Department of Plant Biotechnology and Bioinformatics, Ghent University, Gent, Belgium

Publications

• Research Article   
  The Future of Digital Biomarker Profiling
  Author(s): Marija Pizurica and Kathleen Marchal*
  
  Several molecular biomarkers have been proposed to improve prediction of risk on metastasis or on relapse after treatment for cancer patients. However, tumor heterogeneity and high costs of sequencing have obviated the clinical implementation of these molecular markers. In addition, current biomarkers are derived from bulk profiles, which contain both tumor cells and cells from the tumor microenvironment. On the one hand, this results in a confounded biomarker signal influenced by the cellular composition of the sampled tissue. On the other hand, a bulk-derived biomarker does not consider the spatial organization of cells, which has shown important prognostic and predictive potential. Resolving these shortcomings would require expensive spatial profiling, which is infeasible in clinical settings. Spatially resolved digital profiling, obtained with deep learning models from w.. View More»
  DOI: 10.35248/2167-0250.25.14.355

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