Abstract 3545: Integrated genomic and transcriptomic profiling uncovers spatial and evolutionary dynamics in astrocytoma

Abstract Intratumoral genomic heterogeneity in glioblastoma arises through clonal evolution and may contribute to treatment resistance and poor outcomes, yet the interplay between subclonal diversity and transcriptional states remains incompletely understood. We utilized multi-sampled whole-genome sequencing (WGS), bulk RNA sequencing, and single-cell RNA sequencing (scRNA-seq) to comprehensively map the layers of intratumoral transcriptomic and genomic heterogeneity and trace the evolutionary lineages across twelve spatially distinct tumor regions in two glioblastoma and one IDH mutant high-grade astrocytoma patients. In the IDH mutant astrocytoma, tumor evolution was characterized by early whole-genome duplication followed by a rare chromothripsis between chromosomes 2 and X, as well as region-specific hypermutation enriched for short insertions and deletions. In contrast, both glioblastomas exhibited linear evolution facilitated by early clonal copy number alterations and single-nucleotide variants, and in one patient, extensive loss of heterozygosity, extrachromosomal DNA structures, and high ploidy. Single-cell copy number analysis validated WGS-defined clones in this patient and uncovered additional subclones with distinct copy number alterations undetectable in bulk sequencing, refining the tumor’s phylogenetic tree. Transcriptomic profiling revealed region- and clone-specific differences in glioblastoma cell states, while IDH mutant tumor regions generally exhibited neural progenitor-like activity in addition to astrocytoma-like programs. Glioblastoma samples were dominated by astrocytoma-like states but frequently displayed mesenchymal and endothelial-like transcriptional activity, with rarer and more heterogeneous niches of neural progenitor-like or oligodendrocyte precursor-like cells along with elevated proliferation and distinct maturation signatures. Moreover, scRNA-seq-derived subclones showed differences in mesenchymal-like expression and similar transcriptional branching with state differences observed in bulk RNA-seq, reflecting WGS-based clones. Together, these results demonstrate that intratumoral heterogeneity in adult diffuse astrocytomas arises from both genomic divergence and substantial transcriptional plasticity, while inter-patient diversity remains high across these aggressive tumors. By linking single-cell and bulk transcriptional profiles to evolutionary lineages, our multi-omic framework provides detailed insight into diffuse astrocytoma evolution and malignant cell-state organization. Citation Format: Serafiina Jaatinen, Sonja Mäntylä, Reetta Nätkin, Ismail Hermelo, Anssi Nurminen, Aliisa Tiihonen, Iida Salonen, Elisa M. Vuorinen, Kristiina Nordfors, Hannu Haapasalo, Kirsi Rautajoki, Joonas Haapasalo, Matti Nykter. Integrated genomic and transcriptomic profiling uncovers spatial and evolutionary dynamics in astrocytoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 3545.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-3545
Primary Topic
Glioma Diagnosis and Treatment
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article
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article

Abstract 3545: Integrated genomic and transcriptomic profiling uncovers spatial and evolutionary dynamics in astrocytoma

Kristiina Nordfors, S Mäntylä, Ismaïl Hermelo, Aliisa M. Tiihonen et al.
Cancer Research
Glioma Diagnosis and Treatment
article

Abstract 3545: Integrated genomic and transcriptomic profiling uncovers spatial and evolutionary dynamics in astrocytoma

Kristiina Nordfors, S Mäntylä, Ismaïl Hermelo, Aliisa M. Tiihonen, Serafiina Jaatinen, Elisa M. Vuorinen, Reetta Nätkin, I Salonen, Kirsi J. Rautajoki, Anssi Nurminen, J Haapasalo, Hannu Haapasalo, Matti Nykter
article en

Abstract

Abstract Intratumoral genomic heterogeneity in glioblastoma arises through clonal evolution and may contribute to treatment resistance and poor outcomes, yet the interplay between subclonal diversity and transcriptional states remains incompletely understood. We utilized multi-sampled whole-genome sequencing (WGS), bulk RNA sequencing, and single-cell RNA sequencing (scRNA-seq) to comprehensively map the layers of intratumoral transcriptomic and genomic heterogeneity and trace the evolutionary lineages across twelve spatially distinct tumor regions in two glioblastoma and one IDH mutant high-grade astrocytoma patients. In the IDH mutant astrocytoma, tumor evolution was characterized by early whole-genome duplication followed by a rare chromothripsis between chromosomes 2 and X, as well as region-specific hypermutation enriched for short insertions and deletions. In contrast, both glioblastomas exhibited linear evolution facilitated by early clonal copy number alterations and single-nucleotide variants, and in one patient, extensive loss of heterozygosity, extrachromosomal DNA structures, and high ploidy. Single-cell copy number analysis validated WGS-defined clones in this patient and uncovered additional subclones with distinct copy number alterations undetectable in bulk sequencing, refining the tumor’s phylogenetic tree. Transcriptomic profiling revealed region- and clone-specific differences in glioblastoma cell states, while IDH mutant tumor regions generally exhibited neural progenitor-like activity in addition to astrocytoma-like programs. Glioblastoma samples were dominated by astrocytoma-like states but frequently displayed mesenchymal and endothelial-like transcriptional activity, with rarer and more heterogeneous niches of neural progenitor-like or oligodendrocyte precursor-like cells along with elevated proliferation and distinct maturation signatures. Moreover, scRNA-seq-derived subclones showed differences in mesenchymal-like expression and similar transcriptional branching with state differences observed in bulk RNA-seq, reflecting WGS-based clones. Together, these results demonstrate that intratumoral heterogeneity in adult diffuse astrocytomas arises from both genomic divergence and substantial transcriptional plasticity, while inter-patient diversity remains high across these aggressive tumors. By linking single-cell and bulk transcriptional profiles to evolutionary lineages, our multi-omic framework provides detailed insight into diffuse astrocytoma evolution and malignant cell-state organization. Citation Format: Serafiina Jaatinen, Sonja Mäntylä, Reetta Nätkin, Ismail Hermelo, Anssi Nurminen, Aliisa Tiihonen, Iida Salonen, Elisa M. Vuorinen, Kristiina Nordfors, Hannu Haapasalo, Kirsi Rautajoki, Joonas Haapasalo, Matti Nykter. Integrated genomic and transcriptomic profiling uncovers spatial and evolutionary dynamics in astrocytoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 3545.

Cancer ResearchVol. 86(7_Supplement)
Tampere University (FI), Tampere University Hospital (FI), Tampere University (FI), Fimlab (Finland) (FI)
No poverty
Openalex Percentile: Top 26%
Glioma Diagnosis and Treatment
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