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Prospective Derivation of a Living Organoid Biobank of Colorectal Cancer Patients
Open accessAbstract
In Rspondin-based 3D cultures, Lgr5 stem cells from multiple organs form ever-expanding epithelial organoids that retain their tissue identity. We report the establishment of tumor organoid cultures from 20 consecutive colorectal carcinoma (CRC) patients. For most, organoids were also generated from adjacent normal tissue. Organoids closely recapitulate several properties of the original tumor. The spectrum of genetic changes within the "living biobank" agrees well with previous large-scale mutational analyses of CRC. Gene expression analysis indicates that the major CRC molecular subtypes are represented. Tumor organoids are amenable to high-throughput drug screens allowing detection of gene-drug associations. As an example, a single organoid culture was exquisitely sensitive to Wnt secretion (porcupine) inhibitors and carried a mutation in the negative Wnt feedback regulator RNF43, rather than in APC. Organoid technology may fill the gap between cancer genetics and patient trials, complement cell-line- and xenograft-based drug studies, and allow personalized therapy design. PAPERCLIP.
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“‘living biobanks’ can provide access to patient-derived cells and organoids from large patient cohorts, and have already been established for different cancers124,151,176–178, genetic diseases such as cystic fibrosis, infectious diseases, chronic obstructive pulmonary disease and inflammatory bowel diseases179”
From Human disease models in drug development (2023) · cites this paper as [151]
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“Organoids are ideally suited for FPM due to their ease of establishment, similarity with the tissue of origin and tractability158,167 and have been deployed to identify therapeutic leads in a number of tumors168, including rare cancers that tend to be understudied and poorly characterized at the molecular level16,151,169,170.”
From Organoids (2022) · cites this paper as [169]
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“Recent studies using in vitro organoids grown from different intestinal tumors [33, 34] showed a strong correlation, functionally and molecularly with their primary tissue counterparts, providing a strong argument in favor of the potential for in vitro systems to model intestinal disease.”
From Modeling APC mutagenesis and familial adenomatous polyposis using human iPS cells (2018) · cites this paper as [34]
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“In short, the wild-type human colon organoid line P26n, as previously described in Van De Wetering et al. (2015) was cultured in domes of Cultrex Pathclear Reduced Growth Factor Basement Membrane Extract (BME) (3533-001; Amsbio).”
From One-step generation of tumor models by base editor multiplexing in adult stem cell-derived organoids (2023) · cites this paper as Van De Wetering et al. (2015)
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“broad clinical implementation of patient-specific disease models, such as PDOs, is currently hindered by low efficiencies in PDO establishment (60–70% success rate on average although, for some tissues, up to 90% have been reported for intestinal organoids151) as well as lengthy generation times and expansion procedures”
From Human disease models in drug development (2023) · cites this paper as [151]
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“Patient-derived tumor organoid (a.k.a. tumoroid) biobanks can be established from biopsies, surgical resections2,3, and even from Pap brushes4.”
From One-step generation of tumor models by base editor multiplexing in adult stem cell-derived organoids (2023) · cites this paper as [3]
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“The reconstituted TME model recapitulates not only the genetic and phenotypic features of a tumor but also models the functional response of a patient to therapeutic agents [389, 390].”
From Tumor microenvironment signaling and therapeutics in cancer progression (2023) · cites this paper as [389]
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“3D patient-derived tumor models of CRC (i.e., organoid and spheroid cultures) allow maintenance and expansion of functionally relevant cell subfractions and harbor the patients' individual genetic lesions (Ishiguro et al., 2017;van de Wetering et al., 2015).”
From Degradation of CCNK/CDK12 is a druggable vulnerability of colorectal cancer (2021) · cites this paper as van de Wetering et al., 2015
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“Furthermore, with recent technological advancements (e.g. organoid models and conditionally reprogrammed cell lines), a new generation of cancer cell models is being derived to allow full representation of the histopathological and molecular diversity of tumours (37–42).”
From Cell Model Passports-a hub for clinical, genetic and functional datasets of preclinical cancer models (2019) · cites this paper as [37]
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Citations
Cites
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Robinson, J. T., Thorvaldsdóttir, H., Winckler, W., Guttman, M., Lander, E. S., Getz, G., & Mesirov, J. P. (2011) · Nature Biotechnology · doi:10.1038/nbt.1754 · Cited by 15,390
Self-citationA genetic model for colorectal tumorigenesis
Fearon, E. R., & Vogelstein, B. (1990) · Cell · doi:10.1016/0092-8674(90)90186-i · Cited by 12,132
Fast and accurate long-read alignment with Burrows-Wheeler transform.
Li, H., & Durbin, R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp698 · Cited by 12,063
A framework for variation discovery and genotyping using next-generation DNA sequencing data
DePristo, M. A., Banks, E., Poplin, R. E., Garimella, K. V., Maguire, J., Hartl, C., Philippakis, A., del Angel, G., Rivas, M. A., Hanna, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.806 · Cited by 11,457
Self-citationAdjusting batch effects in microarray expression data using empirical Bayes methods
Johnson, W. E., Li, C., & Rabinovic, A. (2007) · Biostatistics · doi:10.1093/biostatistics/kxj037 · Cited by 8,658
Comprehensive molecular characterization of human colon and rectal cancer
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11252 · Cited by 8,499
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Barretina, J., Caponigro, G., Stransky, N., Venkatesan, K., Margolin, A. A., Kim, S., Wilson, C. J., Lehár, J., Kryukov, G. V., Sonkin, D., et al. (2012) · Nature · doi:10.1038/nature11003 · Cited by 7,950
Self-citationVogelstein, B., Papadopoulos, N., Velculescu, V. E., Zhou, S., Diaz, L. A., & Kinzler, K. W. (2013) · Science · doi:10.1126/science.1235122 · Cited by 7,863
Single Lgr5 stem cells build crypt-villus structures in vitro without a mesenchymal niche
Sato, T., Vries, R. G., Snippert, H. J., van de Wetering, M., Barker, N., Stange, D. E., van Es, J. H., Abo, A., Kujala, P., Peters, P. J., et al. (2009) · Nature · doi:10.1038/nature07935 · Cited by 7,204
Self-citation
Cited by
Sorted by citations
Items 901–1,000 of 1,001
Ramakrishna, G., Babu, E., Singh, R., & Trehanpati, N. (2021) · Hepatology International · doi:10.1007/s12072-021-10237-z · Cited by 34
Patient‐Derived Upper Tract Urothelial Carcinoma Organoids as a Platform for Drug Screening
Li, Z., Xu, H., Gong, Y., Chen, W., Zhan, Y., Yu, L., Sun, Y., Li, A., He, S., Guan, B., et al. (2021) · Advanced Science · doi:10.1002/advs.202103999 · Cited by 32
In-Depth Comparison of Matrigel Dissolving Methods on Proteomic Profiling of Organoids
Wang, M., Yu, H., Zhang, T., Cao, L., Du, Y., Xie, Y., Ji, J., & Wu, J. (2021) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2021.100181 · Cited by 34
The gut microbiota can orchestrate the signaling pathways in colorectal cancer
Bennedsen, A. L. B., Furbo, S., Bjarnsholt, T., Raskov, H., Gögenür, I., & Kvich, L. (2022) · Apmis · doi:10.1111/apm.13206 · Cited by 30
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Pittet, V., Aslan, N., Fournier, N., Decollogny, A., Schoepfer, A., Seibold, F., & Rodondi, P. Y. (2018) · United European Gastroenterology Journal · doi:10.1177/2050640618792819 · Cited by 32
Precision oncology using ex vivo technology: a step towards individualised cancer care?
Williams, S. T., Wells, G., Conroy, S., Gagg, H., Allen, R. J., Rominiyi, O., Helleday, T., Hullock, K., Pennington, C. E. W., Rantala, J., et al. (2022) · Expert Reviews in Molecular Medicine · doi:10.1017/erm.2022.32 · Cited by 35
Kim, S. Y., & Kim, T. W. (2020) · ESMO Open · doi:10.1136/esmoopen-2019-000634 · Cited by 33
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Liu, Y., Sheng, J.-Y., Yang, C.-F., Ding, J., & Chan, Y.-S. (2023) · Clinical and Molecular Hepatology · doi:10.3350/cmh.2022.0428 · Cited by 30
Benelli, R., Costa, D., Salvini, L., Tardito, S., Tosetti, F., Villa, F., Zocchi, M. R., & Poggi, A. D. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2022-005660 · Cited by 31
Hachey, S. J., Sobrino, A., Lee, J. G., Jafari, M. D., Klempner, S. J., Puttock, E. J., Edwards, R. A., Lowengrub, J. S., Waterman, M. L., Zell, J. A., et al. (2022) · Translational research · doi:10.1016/j.trsl.2022.11.011 · Cited by 32
Conti, S., Venturini, V., Cañellas-Socias, A., Cortina, C., Abenza, J. F., Attolini, C. S., Guerra, E. M., Xu, C. K., Li, J. H., Rossetti, L., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-47227-2 · Cited by 30
Kurmasheva, N., Said, A., Wong, B., Kinderman, P., Han, X., Rahimic, A. H. F., Kress, A., Carter-Timofte, M. E., Holm, E., van der Horst, D., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-48422-x · Cited by 31
Borovski, T., Vellinga, T. T., Laoukili, J., Santo, E. E., Fátrai, S., van Schelven, S., Verheem, A., Marvin, D. L., Ubink, I., Rinkes, I. H. M. B., et al. (2016) · Gut · doi:10.1136/gutjnl-2016-311547 · Cited by 31
Tsai, J., Liau, J., Yuan, C., Cheng, M., Yuan, R., & Jeng, Y. (2016) · Histopathology · doi:10.1111/his.13125 · Cited by 31
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Giessler, K. M., Kleinheinz, K., Hüebschmann, D., Balasubramanian, G. P., Dubash, T. D., Dieter, S. M., Siegl, C., Herbst, F., Weber, S., Hoffmann, C. M., et al. (2017) · The Journal of Experimental Medicine · doi:10.1084/jem.20162017 · Cited by 31
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Ocaña, A., García‐Alonso, S., Amir, E., & Pandiella, A. (2018) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2018.09.003 · Cited by 31
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Hynds, R. E., Aïssa, A. B., Gowers, K. H. C., Watkins, T. B. K., Bosshard‐Carter, L., Rowan, A., Veeriah, S., Wilson, G. A., Quezada, S. A., Swanton, C., et al. (2018) · International Journal of Cancer · doi:10.1002/ijc.31383 · Cited by 31
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Na, J. C., Kim, J.-H., Kim, S. Y., Gu, Y.-R., Jun, D. Y., Lee, H. H., Yoon, Y. E., Choi, K. H., Hong, S. J., & Han, W. K. (2020) · Korean journal of urology · doi:10.4111/icu.2020.61.2.216 · Cited by 31
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Nagle, P. W., & Coppes, R. P. (2020) · Cells · doi:10.3390/cells9122649 · Cited by 32
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Zietek, T., Boomgaarden, W., & Rath, E. (2021) · Pharmaceutics · doi:10.3390/pharmaceutics13081280 · Cited by 33
Tumor models to assess immune response and tumor-microbiome interactions in colorectal cancer
Yuan, C., Zhao, X., Wangmo, D., Alshareef, D., Gates, T. J., & Subramanian, S. (2021) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2021.107981 · Cited by 29
Flood, M. P., Narasimhan, V., Wilson, K., Lim, W. M., Ramsay, R. G., Michael, M., & Heriot, A. G. (2021) · Annals of Surgical Oncology · doi:10.1245/s10434-021-10829-x · Cited by 32
Wu, Y., Li, K., Li, Y., Sun, T., Liu, C., Dong, C., Zhao, T., Tang, D., Chen, X., Chen, X., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab1201 · Cited by 31
Angelis, M. L. D., Francescangeli, F., Nicolazzo, C., Xhelili, E., Torre, F. L., Colace, L., Bruselles, A., Macchia, D., Vitale, S., Gazzaniga, P., et al. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.869485 · Cited by 31
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Boretto, M., Geurts, M. H., Gandhi, S., Ma, Z., Staliarova, N., Celotti, M., Lim, S., He, G.-W., Millen, R., Driehuis, E., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2309902121 · Cited by 30
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Liu, Y., & Uttam, S. (2024) · Journal of Biomedical Optics · doi:10.1117/1.jbo.29.s2.s22705 · Cited by 30
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Bozal, S. B., Sjogren, G., Costa, A. P., Brown, J. S., Roberts, S., Baker, D. S., Gabriel, P., Ristau, B. T., Samuels, M. L., Flynn, W. F., et al. (2024) · SLAS DISCOVERY · doi:10.1016/j.slasd.2024.100182 · Cited by 35
Li, P., Huang, M., Ma, Y., Zhang, Y., & Shi, C. (2024) · Cancer Cell International · doi:10.1186/s12935-024-03628-3 · Cited by 32
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Oke, S., & Martín, A. (2017) · Therapeutic Advances in Gastroenterology · doi:10.1177/1756283x17694832 · Cited by 30
Roy, P., Canet-Jourdan, C., Annereau, M., Zajac, O., Gelli, M., Broutin, S., Mercier, L., Paci, A., Lemare, F., Ducreux, M. P., et al. (2017) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2017.07.084 · Cited by 35
Stem cell models as an in vitro model for predictive toxicology
Lynch, S., Pridgeon, C. S., Duckworth, C. A., Sharma, P., Park, B. K., & Goldring, C. E. (2019) · Biochemical Journal · doi:10.1042/bcj20170780 · Cited by 30
Environmental exposures, stem cells, and cancer
Thong, T., Forté, C. A., Hill, E. M., & Colacino, J. A. (2019) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2019.107398 · Cited by 32
Bolck, H. A., Pauli, C., Göbel, E., Mühlbauer, K., Dettwiler, S., Moch, H., & Schraml, P. (2019) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2019.00246 · Cited by 30
Kawai, S., Yamazaki, M., Shibuya, K., Yamazaki, M., Fujii, E., Nakano, K., & Suzuki, M. (2020) · Scientific Reports · doi:10.1038/s41598-020-60145-9 · Cited by 30
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Badder, L. M., Hollins, A. J., Herpers, B., Yan, K., Ewan, K., Thomas, M., Shone, J. R., Badder, D. A., Naven, M., Ashelford, K. E., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0235319 · Cited by 30
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Tan, M. L., Lu, L., & Fischbach, C. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.113852 · Cited by 31
Sun, Y., Baechler, S. A., Zhang, X., Kumar, S., Factor, V. M., Arakawa, Y., Chau, C. H., Okamoto, K., Parikh, A. Y., Walker, R. L., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-39374-9 · Cited by 35
Lobo, N. C., Gedye, C. A., Apostoli, A. J., Brown, K. R., Paterson, J., Stickle, N. H., ROBINETTE, M. A., Fleshner, N. E., Hamilton, R. J., Kulkarni, G. S., et al. (2016) · BMC Cancer · doi:10.1186/s12885-016-2539-z · Cited by 30
Davies, J. A. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-812636-3.00001-8 · Cited by 31
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Chen, B., Du, C., Wang, M., Guo, J., & Liu, X. (2024) · Medical Review · doi:10.1515/mr-2023-0047 · Cited by 31
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Guo, L., Li, C., & Gong, W. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1290504 · Cited by 34
Kan, L., Yu, Y., Wang, Y., Shi, L., Fan, T., Chen, H., & Ren, C. (2025) · Molecular Cancer · doi:10.1186/s12943-025-02328-4 · Cited by 32
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Jeon, J., & Cheong, J. (2019) · Journal of the Korean Gastric Cancer Association · doi:10.5230/jgc.2019.19.e25 · Cited by 31
Dzobo, K., Thomford, N. E., & Senthebane, D. A. (2019) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2019.0147 · Cited by 29
Oszvald, Á., Szvicsek, Z., Pápai, M., Kelemen, A., Varga, Z., Tölgyes, T., Dede, K., Bursics, A., Buzás, E. I., & Wiener, Z. (2020) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.00558 · Cited by 29
Ege, N., Bouguenina, H., Tatari, M. N., & Chopra, R. (2021) · Cell chemical biology · doi:10.1016/j.chembiol.2021.02.011 · Cited by 31
Sohail, M. F., Shkreta, L., Toutant, J., Rabea, S. M., Babeu, J., Huard, C., Coulombe‐Huntington, J., Delannoy, A., Placet, M., Geha, S., et al. (2021) · NAR Cancer · doi:10.1093/narcan/zcab019 · Cited by 29
Epigenetic Drifts during Long-Term Intestinal Organoid Culture
Thalheim, T., Siebert, S., Quaas, M., Herberg, M., Schweiger, M. R., Aust, G., & Galle, J. (2021) · Cells · doi:10.3390/cells10071718 · Cited by 27
Bollen, Y., Hageman, J. H., van Leenen, P., Derks, L. L. M., Ponsioen, B., Amorie, J. R. B. D., Verlaan-Klink, I., van den Bos, M., Terstappen, L. W. M. M., van Boxtel, R., et al. (2022) · PLoS Biology · doi:10.1371/journal.pbio.3001527 · Cited by 29
Bakker, B., Vaes, R. D. W., Aberle, M. R., Welbers, T. T. J., Hankemeier, T., Rensen, S. S., Damink, S. W. M. O., & Heeren, R. M. A. (2022) · Nature Protocols · doi:10.1038/s41596-021-00661-8 · Cited by 29
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Ghate, N. B., Kim, S., Shin, Y., Kim, J., Doche, M. E., Valena, S., Situ, A. J., Kim, S., Rhie, S. K., Lenz, H., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-37883-1 · Cited by 30
Saito, Y., Nakaoka, T., Sakai, K., Muramatsu, T., Toshimitsu, K., Kimura, M., Kanai∥, T., Sato, T., & Saito, H. (2016) · Scientific Reports · doi:10.1038/srep25311 · Cited by 29
Park, C. S., Nguyen, L. P., & Yong, D. (2020) · Cells · doi:10.3390/cells9102209 · Cited by 29
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Bos, J. L. (2017) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a031468 · Cited by 31
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Laranga, R., Duchi, S., Ibrahim, T., Guerrieri, A. N., Donati, D. M., & Lucarelli, E. (2020) · Cancers · doi:10.3390/cancers12082315 · Cited by 31
Yang, J., Zhang, X., Liu, Z., Yang, C., Li, S., Zhou, H., & Gao, Z. (2024) · Chemical Engineering Journal · doi:10.1016/j.cej.2024.155882 · Cited by 30
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Harter, M. F., Recaldin, T., & Gjorevski, N. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.116214 · Cited by 31
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Hinman, S. S., Kim, R., Wang, Y., Phillips, K. S., Attayek, P. J., & Allbritton, N. L. (2020) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2019.12.010 · Cited by 29
Takada, K., Aizawa, Y., Sano, D., Okuda, R., Sekine, K., Ueno, Y., Yamanaka, S., Aoyama, J., Sato, K., Kuwahara, T., et al. (2020) · International Journal of Cancer · doi:10.1002/ijc.33315 · Cited by 28
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Botti, G., Bonito, M. D., & Cantile, M. (2021) · PubMed Central · Cited by 27
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Chen, C., Ji, W., & Niu, Y. (2021) · Trends in biotechnology · doi:10.1016/j.tibtech.2021.03.010 · Cited by 28
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O’Farrell, C., Stamatopoulos, K., Simmons, M. J. H., & Batchelor, H. K. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.113924 · Cited by 31
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DePalma, T. J., Sivakumar, H., & Skardal, A. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.114067 · Cited by 30
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Wang, T., Tang, Y., Pan, W., Yan, B., Hao, Y., Zeng, Y., Chen, Z., Lan, J., Zhao, S., Deng, C., et al. (2023) · Diseases of the Colon & Rectum · doi:10.1097/dcr.0000000000002511 · Cited by 28
Dorard, C., Madry, C., Buhard, O., Toifl, S., Didusch, S., Ratovomanana, T., Letourneur, Q., Dolznig, H., Garnett, M. J., Duval, A., et al. (2023) · Oncogene · doi:10.1038/s41388-023-02683-w · Cited by 29
Self-citationOhman, K. A., Hashim, Y. M., Vangveravong, S., Nywening, T. M., Cullinan, D. R., Goedegebuure, S. P., Liu, J., Tine, B. A. V., Tiriac, H., Tuveson, D. A., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.9551 · Cited by 27
Yan, H., Konstorum, A., & Lowengrub, J. S. (2017) · Bulletin of Mathematical Biology · doi:10.1007/s11538-017-0294-1 · Cited by 27
Luraghi, P., Bigatto, V., Cipriano, É., Reato, G., Orzan, F., Sassi, F. P., Bacco, F. D., Isella, C., Bellomo, S. E., Médico, E., et al. (2017) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-17-2151 · Cited by 28
Plattner, C., Lamberti, G., Blattmann, P., Kirchmair, A., Rieder, D., Loncova, Z., Sturm, G., Scheidl, S., Ijsselsteijn, M., Fotakis, G., et al. (2023) · iScience · doi:10.1016/j.isci.2023.108399 · Cited by 27
Self-citationGiron‐Michel, J., Padelli, M., Oberlin, E., Guénou, H., & Duclos‐Vallée, J. (2025) · BioDrugs · doi:10.1007/s40259-024-00702-0 · Cited by 31
Cancer drug discovery: recent innovative approaches to tumor modeling
Lovitt, C. J., Shelper, T., & Avery, V. M. (2016) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2016.1214562 · Cited by 27
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Picollet-D’hahan, N., Dolega, M. E., Freida, D., Martin, D. K., & Gidrol, X. (2017) · Trends in biotechnology · doi:10.1016/j.tibtech.2017.08.003 · Cited by 36
Jongen, J. M. J., van der Waals, L. M., Trumpi, K., Laoukili, J., Peters, N. A., van Schelven, S. J., Govaert, K. M., Rinkes, I. H. M. B., & Kranenburg, O. (2017) · Oncotarget · doi:10.18632/oncotarget.21145 · Cited by 27
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Advances in Cerebral Organoid Systems and their Application in Disease Modeling
Liu, F., Huang, J., Zhang, L., Chen, J., Zeng, Y., Tang, Y., & Liu, Z. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2018.12.013 · Cited by 27
Differential anti-tumour effects of MTH1 inhibitors in patient-derived 3D colorectal cancer cultures
van der Waals, L. M., Laoukili, J., Jongen, J. M. J., Raats, D., Rinkes, I. H. M. B., & Kranenburg, O. (2019) · Scientific Reports · doi:10.1038/s41598-018-37316-w · Cited by 27
Malfatti, M. C., Antoniali, G., Codrich, M., Burra, S., Mangiapane, G., Dalla, E., & Tell, G. (2019) · Mutagenesis · doi:10.1093/mutage/gez051 · Cited by 26
Nguyen, R., Bae, S. D. W., Zhou, G., Read, S. A., Ahlenstiel, G., George, J., & Qiao, L. (2020) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2020.188350 · Cited by 27
Trends in the development of human stem cell-based non-animal drug testing models
Lee, S.-J., & Lee, H. (2020) · Korean Journal of Physiology and Pharmacology · doi:10.4196/kjpp.2020.24.6.441 · Cited by 28
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Funata, M., Nio, Y., Erion, D. M., Thompson, W. L., & Takebe, T. (2020) · Cell Death and Differentiation · doi:10.1038/s41418-020-00661-3 · Cited by 28
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Lindhorst, P. H., & Hummon, A. B. (2020) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2020.604492 · Cited by 29
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Young, R. B., Marcelino, V. R., Chonwerawong, M., Gulliver, E. L., & Forster, S. C. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.685935 · Cited by 30
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Signati, L., Allevi, R., Piccotti, F., Albasini, S., Villani, L., Sevieri, M., Bonizzi, A., Corsi, F., & Mazzucchelli, S. (2021) · Cancer Cell International · doi:10.1186/s12935-021-02135-z · Cited by 28
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Yang, H., Wang, Y., Wang, P., Zhang, N., & Wang, P. (2021) · Cancer Biology and Medicine · doi:10.20892/j.issn.2095-3941.2021.0335 · Cited by 29
Synthetic developmental biology: Engineering approaches to guide multicellular organization
Zarkesh, I., Ashtiani, M. K., Shiri, Z., Aran, S., Braun, T. W., & Baharvand, H. (2022) · Stem Cell Reports · doi:10.1016/j.stemcr.2022.02.004 · Cited by 27
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Poulos, R. C., Cai, Z., Robinson, P. J., Reddel, R. R., & Zhong, Q. (2022) · PROTEOMICS · doi:10.1002/pmic.202200031 · Cited by 27
Atanasova, V. S., Riedl, A., Strobl, M. M., Flandorfer, J., Unterleuthner, D., Weindorfer, C., Neuhold, P., Stang, S., Hengstschläger, M., Bergmann, M. M., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24021668 · Cited by 27
Perréard, M., Florent, R., Divoux, J., Grellard, J., Lequesne, J., Briand, M., Clarisse, B., Rousseau, N., Lebreton, E., Dubois, B., et al. (2023) · BMC Cancer · doi:10.1186/s12885-023-10692-x · Cited by 27
Spectrum of Gene Mutations in Colorectal Cancer
Dienstmann, R., & Tabernero, J. M. (2016) · The Cancer Journal · doi:10.1097/ppo.0000000000000191 · Cited by 27
Androgen receptor moonlighting in the prostate cancer microenvironment
Cioni, B., Zwart, W. T., & Bergman, A. M. (2018) · Endocrine Related Cancer · doi:10.1530/erc-18-0042 · Cited by 27
Olayanju, A., Jones, L. G., Greco, K. V., Goldring, C. E., & Ansari, T. (2018) · Journal of Applied Toxicology · doi:10.1002/jat.3641 · Cited by 28
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Pastuła, A., & Marcinkiewicz, J. (2018) · Archivum Immunologiae et Therapiae Experimentalis · doi:10.1007/s00005-018-0524-8 · Cited by 27
CFTR Expression Analysis for Subtyping of Human Pancreatic Cancer Organoids
Hennig, A., Wolf, L., Jahnke, B., Polster, H., Seidlitz, T., Werner, K., Aust, D. E., Hampe, J., Distler, M., Weitz, J., et al. (2019) · Stem Cells International · doi:10.1155/2019/1024614 · Cited by 27
Pharmacogenomic analysis of patient-derived tumor cells in gynecologic cancers
Sa, J. K., Hwang, J. R., Cho, Y., Ryu, J.-Y., Choi, J., Jeong, S. Y., Kim, J., Kim, M.-S., Paik, E. S., Lee, Y.-Y., et al. (2019) · Genome biology · doi:10.1186/s13059-019-1848-3 · Cited by 27
The Patient-Derived Cancer Organoids: Promises and Challenges as Platforms for Cancer Discovery
Bae, J., Choi, Y. S., Cho, G., & Jang, S. J. (2022) · Cancers · doi:10.3390/cancers14092144 · Cited by 27
Metadata
- Authors
- van de Wetering, M., Francies, H. E., Francis, J. M., Bounova, G., Iorio, F., Pronk, A., van Houdt, W., van Gorp, J., Taylor-Weiner, A., Kester, L., McLaren-Douglas, A., Blokker, J., Jaksani, S., Bartfeld, S., Volckman, R., van Sluis, P., Li, V. S. W., Seepo, S., Sekhar Pedamallu, C., Cibulskis, K., Carter, S. L., McKenna, A., Lawrence, M. S., Lichtenstein, L., Stewart, C., Koster, J., Versteeg, R., van Oudenaarden, A., Saez-Rodriguez, J., Vries, R. G. J., Getz, G., Wessels, L., Stratton, M. R., McDermott, U., Meyerson, M., Garnett, M. J., & Clevers, H.
- Affiliations
- Wellcome Sanger Institute (GB)
- Broad Institute (US)
- The Netherlands Cancer Institute (NL)
- European Bioinformatics Institute (GB)
- Diakonessenhuis hospital (NL)
- Royal Netherlands Academy of Arts and Sciences (NL)
- National Institute for Medical Research (GB)
- Amsterdam UMC Location University of Amsterdam (NL)
- Corresponding author
- Garnett, Mathew J.
- Clevers, Hans
- ORCID
- Francis, Joshua M.
- Iorio, Francesco
- Pronk, Apollo
- Taylor-Weiner, Amaro
- Kester, Lennart
- Bartfeld, Sina
- Li, Vivian S.W.
- Cibulskis, Kristian
- Carter, Scott L.
- McKenna, Aaron
- Lawrence, Michael S.
- Stewart, Chip
- Versteeg, Rogier
- Vries, Robert G.J.
- Getz, Gad
- Wessels, Lodewyk
- Stratton, Michael R.
- McDermott, Ultan
- Meyerson, Matthew
- Garnett, Mathew J.
- Clevers, Hans
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 161
- Issue
- 4
- Pages
- 933-945
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC6428276
- OpenAlex
- W1741548448
- Cited by
- 2,408
- References
- 64
- Citations by year
- 2026: 196 · 2025: 233 · 2024: 232 · 2023: 220 · 2022: 267 · 2021: 343 · 2020: 260 · 2019: 181 · 2018: 173 · 2017: 154 · 2016: 108 · 2015: 39
- FWCI
- 69.01
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- KNAW research portal (Royal Academy of Art and Sciences (KNAW)) (publishedVersion, other-oa)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Figshare (submittedVersion, cc-by)
- RWTH Publications (RWTH Aachen) (submittedVersion)
- Pure Amsterdam UMC (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion)
- Funders
- Francis Crick Institute (10105)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Health Sciences › Medicine › Oncology › Colorectal Cancer Treatments and Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Wnt/β-catenin signaling in development and cancer
- Keywords
- colorectal cancer, tumor organoids, organoid biobank, Lgr5+ stem cells, R-spondin, Wnt signaling, porcupine inhibitor, RNF43 mutation, APC mutation, drug screening, personalized treatment, molecular subtypes, gene expression profiling
- MeSH terms
- DNA-Binding Proteins, Drug Screening Assays, Antitumor, Humans, Organ Culture Techniques, Organoids, Colorectal Neoplasms, Oncogene Proteins, Biological Specimen Banks, Ubiquitin-Protein Ligases, Precision Medicine
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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