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Omics · study · 2026

Development of an AI Model to Predict Tumor Immune Responsiveness in Colorectal Cancer Using Organoid–Immune Co-Culture platforms

Listed in NCBI GEO

This study aimed to functionally assess tumor immune responsiveness in colorectal cancer using a co-culture platform combining patient-derived organoids (PDOs) with autologous tumor-reactive T cells.

Description

The following samples were classified as immune-responsive based on significant T cell–mediated cytotoxicity and IFN-γ production in co-culture assays. RNA sequencing was performed to identify transcriptional signatures associated with immune activation.

These immune-responsive PDOs served as the discovery cohort for biomarker identification, enabling the integration of functional immunogenicity data with transcriptomic profiling to develop explainable AI models for predicting immunotherapy response in colorectal cancer.

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Life Sciences
Inferred from text
Biochemistry and cell biology 68% · Cancer 75% · RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE29791215 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:group:3101enrichment · NCBI GEOtaxonomy-embedding@1.1.0title+keywords+description (68%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
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