Integrated Single-Nucleus and Spatial Transcriptomics Elucidate Heterogeneity and Hypoxia-Driven Organization of Supratentorial Ependymoma

Supratentorial ependymomas are often life-threatening brain tumours that are characterised by significant molecular heterogeneity. In this study, single-nucleus (n = 63) and spatial transcriptomics (n = 30) was performed to delineate the cellular and spatial landscape of supratentorial ependymoma. This study characterises the transcriptional consensus programs of this entity and connects them to clinical outcome. Two previously undescribed programs – associated with the remodelling of the extracellular matrix and the ZFTA fusion identity – are shown to be related to highly unfavourable outcome and to be exclusive to ZFTA fusion-positive tumours. Also, Hypoxia is proposed as the potential driver of spatial organisation, which may affect treatment success.

Type: Cancer Genomics
Archiver: European Genome-Phenome Archive (EGA)

2 Datasets

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Dataset ID	Description	Technology	Samples
EGAD50000001875	This dataset contains raw sequencing and processed data of single nuclei transcriptomes. The data were generated with 10x Chromium probe-based single-nucleus assay on FFPE tissues of 63 ST-EPN tumour resections. Raw data contain BAM (and BAM.BAI) files of the sequencing. Processed data contain aligned .h5 counts matrices as generated by 10x CellRanger for raw and filtered running options.	Illumina NovaSeq 6000	63
EGAD50000001876	This dataset contains raw sequencing and processed data of spatially resolved transcriptomes. The data were generated with 10x Visium probe-based assay on FFPE tissues of 30 ST-EPN tumour resections. Raw data contain two-lane fastq files of the sequencing. Processed data contain aligned and filtered .h5 counts matrices as well as positional files as generated by 10x SpaceRanger.	NextSeq 2000	30