{"entity":{"id":"idea-data-atlas-to-outcome-linkage","kind":"idea","name":"Link single-cell and spatial tumour atlases to clinical outcomes","aka":[],"tldr":"The detailed molecular maps of tumours being built today mostly lack information on what happened to the patient. Require every atlas sample to carry consented outcome data.","summary":"The Human Tumor Atlas Network and similar single-cell and spatial efforts produce rich molecular maps, but clinical annotation is thin and outcome follow-up rare. The proposal requires atlas funding to include consent for registry linkage and a minimum clinical data set (mCODE), with outcome updates pushed annually, so that cell states discovered can be tested as prognostic and predictive markers without new cohorts.","asOf":"2026-09-08","links":[{"label":"Bottleneck evidence (Data silos): AACR Project GENIE","url":"https://www.aacr.org/professionals/research/aacr-project-genie/"}],"tags":[],"related":["cellxgene-hca","tcga-gdc","cptac"],"cancers":[],"sections":["ai-computation"],"technologies":["single-cell-spatial"],"targets":[],"drugs":[],"companies":[],"institutions":[],"pathways":[],"terms":[],"trials":[],"people":[],"bottlenecks":["b-data-silos","b-biomarker-validation"],"keyPapers":[],"journals":[],"dependsOn":[],"notes":[],"hypothesis":"Outcome-linked atlases will produce at least twice as many validated prognostic cell-state markers per dollar as unlinked atlases.","rationale":"TCGA's value came largely from its clinical annotation and follow-up; single-cell atlases have repeated the molecular depth without the clinical linkage.","test":"Add registry linkage to one existing atlas cohort retrospectively; count the number of cell-state associations with survival that can be tested and how many replicate in an independent cohort.","maturity":"early-clinical","actor":"research","cost":"medium","horizonYears":3},"route":"/ideas/idea-data-atlas-to-outcome-linkage/","neighbours":{"collection":[{"id":"cptac","kind":"collection","name":"CPTAC (Clinical Proteomic Tumor Analysis Consortium)","route":"/collections/cptac/"},{"id":"cellxgene-hca","kind":"collection","name":"CZ CELLxGENE / Human Cell Atlas","route":"/collections/cellxgene-hca/"},{"id":"tcga-gdc","kind":"collection","name":"TCGA / NCI Genomic Data Commons","route":"/collections/tcga-gdc/"}],"section":[{"id":"ai-computation","kind":"section","name":"AI & Computation","route":"/fronts/ai-computation/"}],"technology":[{"id":"single-cell-spatial","kind":"technology","name":"Single-cell & spatial profiling","route":"/technologies/single-cell-spatial/"}],"bottleneck":[{"id":"b-biomarker-validation","kind":"bottleneck","name":"Biomarkers are not validated or standardised","route":"/bottlenecks/b-biomarker-validation/"},{"id":"b-data-silos","kind":"bottleneck","name":"Data silos","route":"/bottlenecks/b-data-silos/"}]}}