TMIC-13. INTEGRATING SNRNASEQ AND SPATIAL TRANSCRIPTOME (ST) SHOWS DIVERSE TRANSCRIPTOMIC LANDSCAPE FOR TUMOR MICROENVIRONMENT (TME) IN INTRACRANIAL GERMINOMAS

Abstract The incidence of intracranial germ cell tumors is 5-8 times higher in East Asia and histologically, germinoma is well known to show intense lymphocytic infiltrates. In spite of germinoma’s well known immune infiltration, there have only been a few studies on its tumor micro-environment (TME). There has been no study using the recent and comprehensive techniques of single nucleus sequencing or spatial transcriptomics to study its TME. In this study, we studied snRNAseq (Chromium 10X) of FFPE tissues of 24 intracranial germinomas, and spatial transcriptomes (STs) (Visium Spatial) from fresh tissues from ten matched cases. For the TME, in contrast to common belief, macrophages and fibroblasts were equally represented as T- and NK-cells as immune cells. Clinical stage correlated with a lesser proportion of fibroblasts and T- and NK-cells. There was no correlation with proportion of tumor cells with either focal vs bifocal disease or clinical stage. Common gene modules (non-negative matrix factorization) were epithelial-mesenchymal transition (complete and partial), cell cycle and immune cells. Cell interaction analysis showed strong interaction between germ cells and macrophages involving CXCL, MIF and MK pathways. By ligand-receptor analysis, MIF combined with CD74 might promote tumor development. For ten cases, we studied STs with fresh tissues and integrated the results with snRNSeq, deconvoluting the spots for ST using snRNAseq cell types as reference (SPOTight) and achieved integrated single cell expression atlases of the STs (Seurat package). STs revealed a similar CNV plot pattern as those derived from snRNAseqs. Multimodal Intersection Analysis integrated significant genes based on snRNAseq and different regions’ significant genes based on STs. There was correlation between the expression of the four gene modules for tumor and immune cells for cell neighborhood. In conclusion, we showed in details the heterogenous expression landscape of TME of germinomas.

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Publication Details

Journal
Neuro-Oncology
Published
2024-11-01
DOI
https://doi.org/10.1093/neuonc/noae165.1191
Primary Topic
Glioma Diagnosis and Treatment
Type
article
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article

TMIC-13. INTEGRATING SNRNASEQ AND SPATIAL TRANSCRIPTOME (ST) SHOWS DIVERSE TRANSCRIPTOMIC LANDSCAPE FOR TUMOR MICROENVIRONMENT (TME) IN INTRACRANIAL GERMINOMAS

Kay Ka‐Wai Li, Xiaofan Ding, Danny Chan, Queenie Hoi‐Wing Wong et al.
Neuro-Oncology
Glioma Diagnosis and Treatment
article

TMIC-13. INTEGRATING SNRNASEQ AND SPATIAL TRANSCRIPTOME (ST) SHOWS DIVERSE TRANSCRIPTOMIC LANDSCAPE FOR TUMOR MICROENVIRONMENT (TME) IN INTRACRANIAL GERMINOMAS

Kay Ka‐Wai Li, Xiaofan Ding, Danny Chan, Queenie Hoi‐Wing Wong, Ho‐Keung Ng, Na Lin, Rui Yang, Anthony Pak‐Yin Liu
article en

Abstract

Abstract The incidence of intracranial germ cell tumors is 5-8 times higher in East Asia and histologically, germinoma is well known to show intense lymphocytic infiltrates. In spite of germinoma’s well known immune infiltration, there have only been a few studies on its tumor micro-environment (TME). There has been no study using the recent and comprehensive techniques of single nucleus sequencing or spatial transcriptomics to study its TME. In this study, we studied snRNAseq (Chromium 10X) of FFPE tissues of 24 intracranial germinomas, and spatial transcriptomes (STs) (Visium Spatial) from fresh tissues from ten matched cases. For the TME, in contrast to common belief, macrophages and fibroblasts were equally represented as T- and NK-cells as immune cells. Clinical stage correlated with a lesser proportion of fibroblasts and T- and NK-cells. There was no correlation with proportion of tumor cells with either focal vs bifocal disease or clinical stage. Common gene modules (non-negative matrix factorization) were epithelial-mesenchymal transition (complete and partial), cell cycle and immune cells. Cell interaction analysis showed strong interaction between germ cells and macrophages involving CXCL, MIF and MK pathways. By ligand-receptor analysis, MIF combined with CD74 might promote tumor development. For ten cases, we studied STs with fresh tissues and integrated the results with snRNSeq, deconvoluting the spots for ST using snRNAseq cell types as reference (SPOTight) and achieved integrated single cell expression atlases of the STs (Seurat package). STs revealed a similar CNV plot pattern as those derived from snRNAseqs. Multimodal Intersection Analysis integrated significant genes based on snRNAseq and different regions’ significant genes based on STs. There was correlation between the expression of the four gene modules for tumor and immune cells for cell neighborhood. In conclusion, we showed in details the heterogenous expression landscape of TME of germinomas.

Neuro-OncologyVol. 26(Supplement_8)
Chinese University of Hong Kong (HK), University of Macau (MO), Hospital for Sick Children (CA), Guangzhou Women and Children Medical Center (CN), Guangzhou Medical University (CN)
Life in Land
Openalex Percentile: Top 64%
Glioma Diagnosis and Treatment
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