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Modeling colorectal cancer: A bio-resource of 50 patient-derived organoid lines

Engel, Rebekah M., Jardé, Thierry, Oliva, Karen, Kerr, Genevieve, Chan, Wing Hei, Hlavca, Sara, Nickless, David, Archer, Stuart K., Yap, Raymond, Ranchod, Pravin, Bell, Stephen, Niap, Ann, Koulis, Christine, Chong, Ashley, Wilkins, Simon, Dale, Trevor C. ORCID:, Hollins, Andrew J. ORCID:, McMurrick, Paul J. and Abud, Helen E. 2022. Modeling colorectal cancer: A bio-resource of 50 patient-derived organoid lines. Journal of Gastroenterology and Hepatology 37 (5) , pp. 898-907. 10.1111/jgh.15818

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Background and Aim Colorectal cancer (CRC) is the second leading cause of cancer death worldwide. To improve outcomes for these patients, we need to develop new treatment strategies. Personalized cancer medicine, where patients are treated based on the characteristics of their own tumor, has gained significant interest for its promise to improve outcomes and reduce unnecessary side effects. The purpose of this study was to examine the potential utility of patient-derived colorectal cancer organoids (PDCOs) in a personalized cancer medicine setting. Methods Patient-derived colorectal cancer organoids were derived from tissue obtained from treatment-naïve patients undergoing surgical resection for the treatment of CRC. We examined the recapitulation of key histopathological, molecular, and phenotypic characteristics of the primary tumor. Results We created a bio-resource of PDCOs from primary and metastatic CRCs. Key histopathological features were retained in PDCOs when compared with the primary tumor. Additionally, a cohort of 12 PDCOs, and their corresponding primary tumors and normal sample, were characterized through whole exome sequencing and somatic variant calling. These PDCOs exhibited a high level of concordance in key driver mutations when compared with the primary tumor. Conclusions Patient-derived colorectal cancer organoids recapitulate characteristics of the tissue from which they are derived and are a powerful tool for cancer research. Further research will determine their utility for predicting patient outcomes in a personalized cancer medicine setting.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Biosciences
European Cancer Stem Cell Research Institute (ECSCRI)
Additional Information: This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License
Publisher: Wiley
ISSN: 0815-9319
Date of First Compliant Deposit: 21 March 2022
Date of Acceptance: 16 February 2022
Last Modified: 05 Jul 2023 16:32

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