Need Help?

Spatial atlas of clonal copy number alterations in co-existing benign and malignant tissue

Defining the transition from benign to malignant tissue is fundamental to improve early diagnosis of cancer. Here, we use a systematic approach to study spatial genome integrity in situ and describe previously unidentified clonal relationships. We employed spatially resolved transcriptomics to infer spatial copy number variations in >120,000 regions across multiple organs, in benign and malignant tissues. We demonstrate that genome-wide copy number variation reveals distinct clonal patterns within tumours and in nearby benign tissue using an organ-wide approach focused on the prostate. Our results suggest a model for how genomic instability arises in histologically benign tissue that may represent early events in cancer evolution. We highlight the power of capturing the molecular and spatial continuums in a tissue context and challenge the rationale for treatment paradigms, including focal therapy.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001008644 Illumina NovaSeq 6000 unspecified 58
Publications Citations
Spatially resolved clonal copy number alterations in benign and malignant tissue.
Nature 608: 2022 360-367
82
Spatial transcriptomic analysis of virtual prostate biopsy reveals confounding effect of tissue heterogeneity on genomic signatures.
Mol Cancer 22: 2023 162
2
Metabolic imaging across scales reveals distinct prostate cancer phenotypes.
Nat Commun 15: 2024 5980
0
<i>DAB2</i> <sup>+</sup> macrophages support <i>FAP</i> <sup>+</sup> fibroblasts in shaping tumor barrier and inducing poor clinical outcomes in liver cancer.
Theranostics 14: 2024 4822-4843
0
Inferring allele-specific copy number aberrations and tumor phylogeography from spatially resolved transcriptomics.
Nat Methods 21: 2024 2239-2247
2