Characterizing new tumor biomarkers and the microenvironment of the metastatic bone marrow niche in stage M neuroblastoma using quantitative imaging and deep-learning based feature extraction

Autoren Daria Lazic
Florian Kromp
Fikert Rifatbegovic
Lukas Fischer
Christian Ostalecki
Inge M. Ambros
Peter F. Ambros
Sabine Taschner-Mandl
Editoren
Titel Characterizing new tumor biomarkers and the microenvironment of the metastatic bone marrow niche in stage M neuroblastoma using quantitative imaging and deep-learning based feature extraction
Typ sonst
Ort "From Lab to Life" Childhood Cancer Research Initiatives, Vienna, Austria, October 18-20, 2018.
Monat October
Jahr 2018
Seiten Poster
SCCH ID# 18078
Abstract

Based on multi-omics- and imaging data, we developed a 30-biomarker panel. Multi-dimensional image analysis followed by our Deep Learning based processing pipeline shows that the detection of DTC heterogeneity, classification of tumor- and non-tumor cells as well as hematopoietic subsets is feasible.