Deep learning-based tool to analyze I-FISH spots in consecutive sections of heterogeneously amplified neuroblastoma tumors

F. Kromp, S. Taschner-Mandl, M. Ambros, M. Berneder, L. Fischer, M. Feuerstein, A. Hanbury, I. Ambros, P. Ambros. Deep learning-based tool to analyze I-FISH spots in consecutive sections of heterogeneously amplified neuroblastoma tumors. 5, 2018.

Autoren
  • F. Kromp
  • S. Taschner-Mandl
  • M. Ambros
  • M. Berneder
  • Lukas Fischer
  • M. Feuerstein
  • A. Hanbury
  • I. Ambros
  • P. Ambros
TypSonstiges
Monat5
Jahr2018
Abstract

Interphase-fluorescence in situ hybridization (I-FISH) is a robust and powerful method to detect chromo­somal aberrations and rearrangements at single-cell resolution. In neuroblastoma diagnostics, FISH is widely used to detect the stratifying MYCN amplification (MNA). Recently, the alternative lengthening of telomeres (ALT) detected by telomere I-FISH has been attracting a lot of attention. While MNA is defined by a ≥4-fold increased number of FISH spots over the reference probe, ALT detection is complicated by highly varying spot sizes and strong intensity differences. The enormous power of I-FISH to resolve intra-tumor heteroge­neity (ITH) can be fully exploited by simultaneous quantitative analysis and visualization of spot features in consecutive tissue sections, ensuring efficient quantification of I-FISH spots for diagnostic purposes and allowing insights into the spatial ITH and clonal evolution in neuroblastomas.