从肿瘤到模型：来自患者来源结直肠癌类器官的转录组学与治疗学洞见

Background: Colorectal cancer (CRC) is the world's second leading cause of cancer deaths, often diagnosed late due to its silent onset. To drive breakthroughs in drug discovery, scientists use both traditional cell lines and patient-derived models. The Human Cancer Models Initiative (HCMI)-a collaboration among the National Cancer Institute, Cancer Research UK, Wellcome Sanger Institute, Hubrecht Organoid Technology, and ATCC-has built a collection of clinically annotated CRC organoids that capture tumor biology and genetic diversity. Understanding differences in gene expression between organoids and conventional cell lines is key to improving disease models and developing better therapies. Methods: Six CRC organoid models from unique donors and ten CRC cell lines were expanded and analyzed via RNA sequencing. The models were derived from primary tissues across ten anatomical sites. Transcriptomic profiles were compared among models and against tumor data from The Cancer Genome Atlas (TCGA). A subset of models was screened for drug sensitivity using a panel of six compounds targeting molecular pathways identified by RNA-seq. Dose-response curves were generated, and IC50 values were calculated. Post-treatment cultures were evaluated using a luminescent ATP viability assay to assess drug response. Results: Patient-derived CRC organoids showed high genomic concordance with matched tumors, including shared single-nucleotide variants and ~30-40% overlap in extrachromosomal DNA features. KRAS mutation discrepancies (e.g., G12D/G12V vs. G12R) indicated clonal evolution. Key driver mutations (APC, TP53, KRAS, PIK3CA, SMAD4) were consistently detected, corresponding with Oncomine targets. Histopathology confirmed retention of tumor-specific markers. Drug screening revealed variable responses across organoids, with fluorescence-based viability assays confirming model-specific sensitivities. Transcriptomic analysis highlighted molecular heterogeneity and distinct subtype-specific expression patterns. Several genes were consistently expressed across models, suggesting shared oncogenic pathways. Conclusion: CRC organoids from HCMI faithfully recapitulate key transcriptomic and mutational features of patient tumors while revealing diverse drug responses. These models offer valuable platforms for precision oncology, enabling the identification of variant-specific vulnerabilities and supporting personalized treatment strategies.