• Media type: E-Article
  • Title: MODL-07. DNA methylation-based biobank of murine models for pediatric tumors
  • Contributor: Zheng, Tuyu; Sill, Martin; Imle, Roland; Shiraishi, Ryo; Wang, Wanchen; Morcavallo, Alaide; Chesler, Louis; Kawauchi, Daisuke; Ayrault, Olivier; Pavlo, Lutsik; Pfister, Stefan M; Kutscher, Lena M; Banito, Ana; Jones, David W; Pajtler, Kristian W; Zuckermann, Marc
  • imprint: Oxford University Press (OUP), 2022
  • Published in: Neuro-Oncology
  • Language: English
  • DOI: 10.1093/neuonc/noac079.630
  • ISSN: 1522-8517; 1523-5866
  • Keywords: Cancer Research ; Neurology (clinical) ; Oncology
  • Origination:
  • Footnote:
  • Description: <jats:title>Abstract</jats:title> <jats:p>Recent advances in molecular profiling methods led to the identification of multiple new molecularly defined tumor types and subtypes, distinguished by distinct molecular markers and characteristic DNA methylation signatures. While the analysis of human methylome using microarrays has become an affordable and a routine in many labs, this technology until recently was not available for murine samples. In the past years, we have successfully generated a variety of mouse models for childhood tumors (e.g brain tumors and sarcomas) using different techniques, most of which faithfully reflect the human tumor counterparts at the histological level. With the recently released Infinium Mouse Methylation BeadChip, we now set out to use our models to generate the first DNA methylation database for murine pediatric tumors. We profiled more than 70 mouse models of pediatric tumors including gliomas, medulloblastomas, ependymomas and sarcomas, as well as 40 normal brain and muscle control tissues. We are currently performing a cross-species comparative analysis of established mouse models and the human counterparts. This will assess, how faithfully each models reflect the human situation and examine the effects of multiple passages of allografting. We will also analyze purified immune cell populations and use the derived methylation signatures to assess the model-specific immune microenvironment. Furthermore, we will investigate the methylomes of multiple putative cells-of-origin, which is hardly possible in the human context due to the lack of purified material. We will correlate these to murine tumor samples and thereby provide novel insights into tumor origins. In summary, our study will generate a validated biobank of murine models for pediatric cancers and provide a valuable resource for future developmental studies and preclinical trials.</jats:p>
  • Access State: Open Access