KiTZ Datacommons

KiTZ Data Commons is a web portal to simplify access to all data platforms that contain research data about pediatric cancer from KiTZ research studies. It provides an entry point to molecular profiles and clinical attributes from large-scale projects in pediatric cancer research.

The goal is to share these data as openly as possible with the pediatric research community (while adhering to all applicable data privacy laws) to support further biologic insights and translation into clinical applications.

This platform represents the access point for DNA methylation-based classification of central nervous system tumors.




R2: Genomics analysis and visualization platform Pediatric PDX dataset section

The data presented here belong to the manuscript 'A biobank of 30 molecularly characterized patient-derived orthotopic xenograft models for pediatric brain tumors by Brabetz et al. 2018.



R2: Genomics analysis and visualization platform DKFZ Pediatric Pan Cancer dataset section

The data presented here belong to the manuscript 'The landscape of genomic alterations and drug targets across childhood cancers' by Groebner et al. 2018.



R2: Genomics analysis and visualization platform datasets of ALT-positive neuroblastoma

Protein and RNA expression data of neuroblastoma tumors with alternative lengthening of telomeres (ALT) published in Hartlieb et al. 2021.

R2 RNA data

R2 Protein data


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cBioPortal for Cancer Genomics

The cBioPortal for Cancer Genomics is an open-access, open-source resource for interactive exploration of multidimensional cancer genomics data sets.




Verteilung kindlicher Krebserkrankungen - eine Übersichtsgrafik


The "Pediatric Pan Cancer" (PedPanCan) study examines genetic alterations in childhood cancers at multiple levels. These include the analysis of structural variations, changes in copy number and small mutations. That allows the investigation of a possible druggability.



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 St. Jude PeCan Data Portal

PeCan provides interactive visualizations of pediatric cancer mutations across various projects at St. Jude Children's Research Hospital and its collaborators.



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Brain Match

Online application Brain-Match provides visual interface for the comparison results of brain single cell data to pediatric neurooncology tumor materials with the main goal to detect possible cells-of-origin.

(under construction)



Developmental programs in childhood neuroblastoma data visualizer

Online application for interactive visualization of embryonic and fetal human adrenal gland single-cell data and comparison to single neuroblastoma cells (Jansky et al. 2021).


Super enhancer landscape of childhood neuroblastoma

Online application for interactive visualization of super enhancers in primary neuroblastomas and cell lines (Gartlgruber et al. 2020).



European Genome Phenome Archive

As part of the collaborative studies (Peifer et al. 2015, Ackermann et al. 2018) a large collection of whole genome sequencing, whole exome sequencing and RNA-sequencing data of neuroblastoma patient tumours is available upon request (accession numbers EGAS00001001308, EGAS00001003244).


Regulatory landscape of cells in the developing mouse cerebellum

Online application for the interactive exploration of cis-regulatory element (CRE) activity in cell types of the developing mouse cerebellum. Understanding the regulatory basis of healthy development can provide insights into the mechanisms leading to developmental disorders and pediatric brain tumors.
(under construction)