Dataset summary
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Original publication DOI: https://doi.org/10.1038/s41586-022-05023-2
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Specific data link: https://data.mendeley.com/datasets/svw96g68dv/4
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Original abstract: Defining the transition from benign to malignant tissue is fundamental to improving early diagnosis of cancer. Here we use a systematic approach to study spatial genome integrity in situ and describe previously unidentified clonal relationships. We used 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.
Summary statistics
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Slides: 7
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Patients: 1
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Spots: 20987
How to use
# Import spared library
import spared
from spared import datasets
# Dataset
dataset = datasets.get_dataset("erickson_human_prostate_cancer_p1", visualize=True)
