2022
DOI: 10.1016/j.jncc.2022.10.001
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Patient-derived organoids (PDOs) and PDO-derived xenografts (PDOXs): New opportunities in establishing faithful pre-clinical cancer models

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Cited by 22 publications
(9 citation statements)
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“…PDO xenografts are reported to better represent the cancer cell state of the parental tumor, and thus serve as more effective models for drug testing. They can be easily genetically modified, allowing for broad applications in basic cancer research and show a higher success rate as compared to PDX models at a more reasonable time and cost (for a more comprehensive review on this see [ 70 ]).…”
Section: Discussionmentioning
confidence: 99%
“…PDO xenografts are reported to better represent the cancer cell state of the parental tumor, and thus serve as more effective models for drug testing. They can be easily genetically modified, allowing for broad applications in basic cancer research and show a higher success rate as compared to PDX models at a more reasonable time and cost (for a more comprehensive review on this see [ 70 ]).…”
Section: Discussionmentioning
confidence: 99%
“…These PDOs play a crucial role in developing individualized treatment strategies by cultivating a patient’s own tumor cells, which accurately represent the specific genetic and molecular properties of their cancer. This precision approach not only enhances treatment efficacy but also reduces side effects and the use of ineffective medications ( Wang et al, 2022a ; Zeng et al, 2023 ). Evidence strongly supports the use of PDOs for pre-treatment testing, as studies have shown higher response rates and improved survival outcomes compared to conventional treatments that do not consider individual variability ( Yahng et al, 2017 ; Wensink et al, 2021 ).…”
Section: Personalized Medicine and Patient-derived Organoidsmentioning
confidence: 99%
“…These models have lately been expanded to transplant organoid and tumoroid lines into animals as allografts and xenografts. Importantly, the pathological and invasive features of the original tumor and drug response of the patient are retained in these models, providing a suitable alternative to investigate mechanisms of malignant transformation, tumor plasticity, and metastasis in vivo [236].…”
Section: Modeling Of Tumor Biologymentioning
confidence: 99%