In:
Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 4112-4112
Abstract:
Colorectal cancer (CRC) is the third leading cause of cancer and cancer-related death. A large fraction of the CRC patients diagnosed with de novo metastatic disease do not benefit from the standard of care but still experience substantial side effects. Therefore, there is the urgency for a new model to predict clinical response. Adult epithelial stem cell (ASC) -derived organoids are proving to be a major breakthrough in pre-clinical models. ASC-derived organoids can be developed from healthy as well as diseased tissue, including cancer lesions and therefore are often referred to as patient-derived organoids (PDOs or HUB Organoids࣪). These model is established directly from patient tissue, represent the tissue of origin and faithfully recapitulate patient disease in vitro and can be propagated for drug testing in a matter of weeks. PDOs bridges the gap between the lab and the clinic and effectively bring a “patient in the lab.” In this study we aimed to validate the predictive value of PDOs in the stratification of metastatic CRC (mCRC) patients for treatment with chemotherapeutic agents. PDOs from mCRC tissues were established following our optimized procedures and drug screening was performed. Clinical response was compared with PDO drug response and the best predicting drug response parameters (growth rate (GR), GRmax, GR50 and area under the curve) were identified. The patient response was evaluated by the percentage of change in size of the target lesions on response scans (% size change), best Response Evaluation Criteria in Solid Tumors (RECIST) response and progression-free survival (PFS). Importantly, we validated the predictive value of organoids towards fluorouracil (5-FU). We are validating these results in a large trial. Current efforts to further expand our PDO and drug sensitivity biobank will enable the implementation of the personalized HUB Organoid Technology to accurate and fast predict of the treatment response to improve clinical outcome of mCRC patients. Citation Format: Carla S. Verissimo, Lidwien Smabers, Emerens Wensink, Esmee Koedoot, Maarten Huismans, Celia Higuera Barón, Ricardo Korporaal, Emma Teal, Katerina-Chara Pitsa, Edwin van Oosten, Roshni Nair, Liselot Valkenburg, Geert Cirkel, Anneta Brousali, Jorieke Salij, René Overmeer, Manon Braat, Sjoerd Elias, Robert Vries, Onno Kranenburg, Miriam Koopman, Sylvia F. Boj, Jeanine Roodhart. Patient derived organoids predict clinical response: A patient in the lab [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 4112.
Type of Medium:
Online Resource
ISSN:
1538-7445
DOI:
10.1158/1538-7445.AM2022-4112
Language:
English
Publisher:
American Association for Cancer Research (AACR)
Publication Date:
2022
detail.hit.zdb_id:
2036785-5
detail.hit.zdb_id:
1432-1
detail.hit.zdb_id:
410466-3
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