Patient-Derived Organoids from Multiple Colorectal Cancer Liver Metastases Reveal Moderate Intra-patient Pharmacotranscriptomic Heterogeneity.

Bruun, Jarle; Kryeziu, Kushtrim; Eide, Peter W; Moosavi, Seyed H; Eilertsen, Ina A; Langerud, Jonas; Røsok, Bård; Totland, Max Z et al. · Clin Cancer Res · 2020

basic_science · Level V

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Abstract

Molecular tumor heterogeneity may have important implications for the efficacy of targeted therapies in metastatic cancers. Inter-metastatic heterogeneity of sensitivity to anticancer agents has not been well explored in colorectal cancer. We established a platform for <i>ex vivo</i> pharmacogenomic profiling of patient-derived organoids (PDO) from resected colorectal cancer liver metastases. Drug sensitivity testing (<i>n</i> = 40 clinically relevant agents) and gene expression profiling were performed on 39 metastases from 22 patients. Three drug-response clusters were identified among the colorectal cancer metastases, based primarily on sensitivities to EGFR and/or MDM2 inhibition, and corresponding with <i>RAS</i> mutations and TP53 activity. Potentially effective therapies, including off-label use of drugs approved for other cancer types, could be nominated for eighteen patients (82%). Antimetabolites and targeted agents lacking a decisive genomic marker had stronger differential activity than most approved chemotherapies. We found limited intra-patient drug sensitivity heterogeneity between PDOs from multiple (2-5) liver metastases from each of ten patients. This was recapitulated at the gene expression level, with a highly proportional degree of transcriptomic and pharmacological variation. One PDO with a multi-drug resistance profile, including resistance to EGFR inhibition in a <i>RAS</i>-mutant background, showed sensitivity to MEK plus mTOR/AKT inhibition, corresponding with low-level <i>PTEN</i> expression. Intra-patient inter-metastatic pharmacological heterogeneity was not pronounced and <i>ex vivo</i> drug screening may identify novel treatment options for metastatic colorectal cancer. Variation in drug sensitivities was reflected at the transcriptomic level, suggesting potential to develop gene expression-based predictive signatures to guide experimental therapies.

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