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- W4283769337 abstract "Cancer immunotherapies, particularly immune checkpoint inhibitors, are rapidly becoming standard-of-care for many cancers. The ascendance of immune checkpoint inhibitor treatment and limitations in the accurate prediction of clinical response thereof have provided significant impetus to develop preclinical models that can guide therapeutic intervention. Traditional organoid culture methods that exclusively grow tumor epithelium as patient-derived organoids are under investigation as a personalized platform for drug discovery and for predicting clinical efficacy of chemotherapies and targeted agents. Recently, the patient-derived tumor organoid platform has evolved to contain more complex stromal and immune compartments needed to assess immunotherapeutic efficacy. We review the different methodologies for developing a more holistic patient-derived tumor organoid platform and for modeling the native immune tumor microenvironment." @default.
- W4283769337 created "2022-07-03" @default.
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- W4283769337 date "2022-10-01" @default.
- W4283769337 modified "2023-10-17" @default.
- W4283769337 title "Immune organoids: from tumor modeling to precision oncology" @default.
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- W4283769337 doi "https://doi.org/10.1016/j.trecan.2022.06.001" @default.
- W4283769337 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35773148" @default.
- W4283769337 hasPublicationYear "2022" @default.
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