{"database":"EGA","file_versions":[],"scores":null,"additional":{"omics_type":["Genomics"],"study_type":["Other"],"full_dataset_link":["https://ega-archive.org/studies/EGAS00001006124"],"host":["EGA"],"description":["EGA study EGAS00001006124"],"dataset_title":["Spatial transcriptome sequence data from cross section of cancer containing prostates"],"repository":["EGA"],"category":["restricted"],"name_synonyms":["number, Tissue, count in organism, simple tissue., presence, C1, cardinality, Atlases"],"description_synonyms":["Disease Early Detection, Psychological Power, localised, Professional Power, P62, Neoplasms, number, Benign Neoplasm, broad, sci, Genome Stability, Tumor, Genomic Stability, Diagnosis, Malignant, presence, element, Stability, Personal, Instabilities, Genomic Instabilities, HOW, How, DmF2, Fs(3)Hor, l(3)j5D5, Genome Instabilities, organ, 24B, lod, Psychological, treatment, study, DmelCG2684, l(3)s2612, Genomes, Malignancy, Tissue, stru, l(3)S053606, NTef2, CG10293, Social, Neoplasias, l(3)j5B5, reaction, malignant neoplasm, anatomical unit, body organ, DmelCG10293, disease management, Therapies, Malignancies, genomic copy number variation, Social Power, Power, Cancer, Tumors, Therapy, 0904/17, Prostates, wide/broad, Malignant Neoplasm, clone 2.39, copy number variation, Psychological Powers, qkr, l(3)S090417, results, Fs(3)Sz11, Stabilities, Early Detection of Disease, count in organism, disease management., MT, Benign, SZ1, male prostate, KH93F, Neoplasm, simple tissue, Professional, focal, Early, Genome Stabilities, who, primary cancer, distinct, Benign Neoplasms, whole genome, Who/How, Cancers, Lds, malignant tumor, Treatments, Genomic, early, Malignant Neoplasms, wide, Personal Power, Genome Instability, Therapeutic, Horka, cardinality, Power (Psychology), CG2684, qkr[93F], Fs(3)Horka, anon-EST:Liang-2.39, Treatment, Instability, Genomic Stabilities, Powers, prostate, Genome, Neoplasia, prostata"],"additional_accession":[]},"is_claimable":false,"name":"Spatial atlas of clonal copy number alterations in co-existing benign and malignant tissue","description":"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.","dates":{"updated":"2022-03-22 11:09:40"},"accession":"EGAS00001006124","cross_references":{"TAXONOMY":["9606"],"EGA":["EGAD00001008644","EGAC00001002593"]}}