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Human primary liver cancer–derived organoid cultures for disease modeling and drug screening
Open accessAbstract
Human liver cancer research currently lacks in vitro models that can faithfully recapitulate the pathophysiology of the original tumor. We recently described a novel, near-physiological organoid culture system, wherein primary human healthy liver cells form long-term expanding organoids that retain liver tissue function and genetic stability. Here we extend this culture system to the propagation of primary liver cancer (PLC) organoids from three of the most common PLC subtypes: hepatocellular carcinoma (HCC), cholangiocarcinoma (CC) and combined HCC/CC (CHC) tumors. PLC-derived organoid cultures preserve the histological architecture, gene expression and genomic landscape of the original tumor, allowing for discrimination between different tumor tissues and subtypes, even after long-term expansion in culture in the same medium conditions. Xenograft studies demonstrate that the tumorogenic potential, histological features and metastatic properties of PLC-derived organoids are preserved in vivo. PLC-derived organoids are amenable for biomarker identification and drug-screening testing and led to the identification of the ERK inhibitor SCH772984 as a potential therapeutic agent for primary liver cancer. We thus demonstrate the wide-ranging biomedical utilities of PLC-derived organoid models in furthering the understanding of liver cancer biology and in developing personalized-medicine approaches for the disease.
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“A greater degree of divergence may be attributed to intra-tumor spatial heterogeneity and sampling bias: tumors can be spatially diverse, and organoids generated from a specific portion may lack the representativeness of distant regions130,131.”
From Organoids (2022) · cites this paper as [131]
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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 [38]
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Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · cited 2×
“Normalised counts were created using DESeq2 [69] and RPKMs using edgeR's 1213 function [edgeR].”
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400 · cited 1×
“6) [73] and the output was 1245 preprocessed for variant calling by marking duplicates with Picard (v1.”
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research · doi:10.1101/gr.107524.110 · Cited by 27,895
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Liao, Y., Smyth, G. K., & Shi, W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt656 · Cited by 27,219
Cingolani, P., Platts, A., Wang, L. L., Coon, M., Nguyen, T., Wang, L., Land, S. J., Lu, X., & Ruden, D. M. (2012) · Fly · doi:10.4161/fly.19695 · Cited by 11,816
TopHat: discovering splice junctions with RNA-Seq
Trapnell, C., Pachter, L. S., & Salzberg, S. L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp120 · Cited by 11,682
Analysis of protein-coding genetic variation in 60,706 humans
Exome Aggregation Consortium, Lek, M., Karczewski, K. J., Minikel, E. V., Samocha, K. E., Banks, E., Fennell, T., O’Donnell-Luria, A. H., Ware, J. S., Hill, A. J., et al. (2016) · Nature · doi:10.1038/nature19057 · Cited by 9,587
UniProt: the Universal Protein knowledgebase
Apweiler, R. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh131 · Cited by 7,593
dbSNP: the NCBI database of genetic variation
Sherry, S. T. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.1.308 · Cited by 7,502
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Human organoids: model systems for human biology and medicine
Kim, J., Koo, B.-K., & Knoblich, J. A. (2020) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-0259-3 · Cited by 2,187
Self-citationDrost, J., & Clevers, H. (2018) · Nature Reviews Cancer · doi:10.1038/s41568-018-0007-6 · Cited by 1,790
Resolving the fibrotic niche of human liver cirrhosis at single-cell level
Ramachandran, P., Dobie, R., Wilson-Kanamori, J. R., Dora, E. F., Henderson, B. E. P., Luu, N. T., Portman, J. R., Matchett, K. P., Brice, M., Marwick, J. A., et al. (2019) · Nature · doi:10.1038/s41586-019-1631-3 · Cited by 1,784
Self-citationHofer, M., & Lutolf, M. P. (2021) · Nature Reviews Materials · doi:10.1038/s41578-021-00279-y · Cited by 1,184
Jacob, F., Salinas, R. D., Zhang, D. Y., Nguyen, P. T. T., Schnoll, J. G., Wong, S. Z. H., Thokala, R., Sheikh, S., Saxena, D., Prokop, S., et al. (2020) · Cell · doi:10.1016/j.cell.2019.11.036 · Cited by 1,149
“Organoids have since been applied to model various cancers, including pancreatic, prostate, liver, breast, bladder, ovarian, and gastrointestinal cancers (Boj et al., 2015; Broutier et al., 2017; Gao et al., 2014; Kopper et al., 2019; Lee et al., 2018; Sachs et al., 2018; Yan et al., 2018).”
BackgroundAdvances in organ-on-a-chip engineering
Zhang, B., Korolj, A., Lai, B. F. L., & Radisic, M. (2018) · Nature Reviews Materials · doi:10.1038/s41578-018-0034-7 · Cited by 1,017
Zhao, Z., Chen, X., Dowbaj, A. M., Sljukic, A., Bratlie, K., Lin, L., Fong, E. L. S., Balachander, G. M., Chen, Z., Soragni, A., et al. (2022) · Nature Reviews Methods Primers · doi:10.1038/s43586-022-00174-y · Cited by 1,082
“Adapted from ref.(131), Springer Nature Limited.”
Self-citationCancer modeling meets human organoid technology
Tuveson, D., & Clevers, H. (2019) · Science · doi:10.1126/science.aaw6985 · Cited by 935
Tumor Evolution and Drug Response in Patient-Derived Organoid Models of Bladder Cancer
Lee, S. H., Hu, W., Matulay, J. T., Silva, M. V., Owczarek, T. B., Kim, K., Chua, C. W., Barlow, L. J., Kandoth, C., Williams, A. B., et al. (2018) · Cell · doi:10.1016/j.cell.2018.03.017 · Cited by 873
Long-Term Expansion of Functional Mouse and Human Hepatocytes as 3D Organoids
Hu, H., Gehart, H., Artegiani, B., LÖpez-Iglesias, C., Dekkers, F., Basak, O., van Es, J., Chuva de Sousa Lopes, S. M., Begthel, H., Korving, J., et al. (2018) · Cell · doi:10.1016/j.cell.2018.11.013 · Cited by 837
Patient-derived lung cancer organoids as in vitro cancer models for therapeutic screening
Kim, M., Mun, H., Sung, C. O., Cho, E. J., Jeon, H.-J., Chun, S.-M., Jung, D. J., Shin, T. H., Jeong, G. S., Kim, D. K., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11867-6 · Cited by 812
Xuan, L., Ju, Z., Skonieczna, M., Zhou, P., & Huang, R. (2023) · MedComm · doi:10.1002/mco2.327 · Cited by 911
Patient-Derived Organoids Predict Chemoradiation Responses of Locally Advanced Rectal Cancer
Yao, Y., Xu, X., Yang, L., Zhu, J., Wan, J., Shen, L., Xia, F., Fu, G., Deng, Y., Pan, M., et al. (2020) · Cell Stem Cell · doi:10.1016/j.stem.2019.10.010 · Cited by 755
Establishment of patient-derived cancer organoids for drug-screening applications
Driehuis, E., Kretzschmar, K., & Clevers, H. C. (2020) · Nature Protocols · doi:10.1038/s41596-020-0379-4 · Cited by 702
Stem cell fate in cancer growth, progression and therapy resistance
Lytle, N. K., Barber, A. G., & Reya, T. (2018) · Nature reviews. Cancer · doi:10.1038/s41568-018-0056-x · Cited by 664
Advances in molecular classification and precision oncology in hepatocellular carcinoma
Rebouissou, S., & Nault, J. (2020) · Journal of Hepatology · doi:10.1016/j.jhep.2019.08.017 · Cited by 603
Corrò, C., Novellasdemunt, L., & Li, V. S. W. (2020) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00120.2020 · Cited by 561
Modeling Steatohepatitis in Humans with Pluripotent Stem Cell-Derived Organoids
Ouchi, R., Togo, S., Kimura, M., Shinozawa, T., Koido, M., Koike, H., Thompson, W., Karns, R. A., Mayhew, C. N., McGrath, P. S., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.05.007 · Cited by 537
High-resolution 3D imaging of fixed and cleared organoids
Dekkers, J. F., Alieva, M., Wellens, L. M., Ariese, H. C., Jamieson, P. R., Vonk, A. M., Amatngalim, G. D., Hu, H., Oost, K. C., Snippert, H. J. G., et al. (2019) · Nature Protocols · doi:10.1038/s41596-019-0160-8 · Cited by 558
Human Organoids: Tools for Understanding Biology and Treating Diseases
Schutgens, F., & Clevers, H. C. (2019) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-012419-032611 · Cited by 530
Boretto, M., Maenhoudt, N., Luo, X., Hennes, A., Boeckx, B., Bui, B. N., Heremans, R., Perneel, L., Kobayashi, H., Zundert, I. V., et al. (2019) · Nature Cell Biology · doi:10.1038/s41556-019-0360-z · Cited by 517
Human organoids in basic research and clinical applications
Tang, X.-Y., Wu, S., Wang, D., Chu, C., Hong, Y., Tao, M., Hu, H., Xu, M., Guo, X. L., & Liu, Y. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01024-9 · Cited by 539
“By modifying the combination of growth factors and cell isolation procedures, researchers can rapidly alter the 3D culture system to generate multiple kinds of human normal and cancerous organoids, such as brain,(13,14) colon,(15) stomach,(16) and liver organoids.(17,18) In this review, we discuss recent advances in o…”
BackgroundOrganoid and Spheroid Tumor Models: Techniques and Applications
Gunti, S., Hoke, A. T. K., Vu, K., & London, N. R. (2021) · Cancers · doi:10.3390/cancers13040874 · Cited by 525
Organoid Models of Human Liver Cancers Derived from Tumor Needle Biopsies
Nuciforo, S., Fofana, I., Matter, M. S., Blumer, T., Calabrese, D., Boldanova, T., Piscuoglio, S., Wieland, S., Ringnalda, F., Schwank, G., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.07.001 · Cited by 473
Next-generation cancer organoids
LeSavage, B. L., Suhar, R. A., Broguière, N., Lütolf, M. P., & Heilshorn, S. C. (2021) · Nature Materials · doi:10.1038/s41563-021-01057-5 · Cited by 479
Precision treatment in advanced hepatocellular carcinoma
Yang, X., Yang, C. G., Zhang, S., Geng, H., Zhu, A. X., Bernards, R., Qin, W., Fan, J., Wang, C., & Gao, Q. (2024) · Cancer Cell · doi:10.1016/j.ccell.2024.01.007 · Cited by 466
Xenograft and organoid model systems in cancer research
Bleijs, M., van de Wetering, M., Clevers, H., & Drost, J. (2019) · The EMBO Journal · doi:10.15252/embj.2019101654 · Cited by 400
“…gastric (Nanki et al , 2018; Yan et al , 2018), lung (Sachs et al , 2019), oesophageal (Li et al , 2018), bladder (Lee et al , 2018; Mullenders et al , 2019), ovarian (Kopper et al , 2019), kidney (Schutgens et al , 2019) and liver (Broutier et al , 2017; Li et al , 2019) tumour tissue (Fig 3).”
Organoid Models of Tumor Immunology
Yuki, K., Cheng, N., Nakano, M., & Kuo, C. J. (2020) · Trends in Immunology · doi:10.1016/j.it.2020.06.010 · Cited by 418
“Organoid biobanks have been established from multiple types of cancer, including colon [30,34,40,63,64], rectum, stomach [31,65], pancreas [66], liver [67,68], breast [32], ovary [69,70], and prostate [71], with distribution through entities such as the Human Cancer Models Initiative (HCMI)i.”
BackgroundThe role of gut microbiota in cancer treatment: friend or foe?
Cheng, W. Y., Wu, C.-Y., & Yu, J. (2020) · Gut · doi:10.1136/gutjnl-2020-321153 · Cited by 384
Tumor microenvironment: barrier or opportunity towards effective cancer therapy
Tiwari, A., Trivedi, R., & Lin, S. (2022) · Journal of Biomedical Science · doi:10.1186/s12929-022-00866-3 · Cited by 399
Disease modelling in human organoids
Lancaster, M. A., & Huch, M. (2019) · Disease Models & Mechanisms · doi:10.1242/dmm.039347 · Cited by 390
“Since these seminal papers, altered protocols have enabled the establishment of liver models from different species from rat to dog (Nantasanti et al., 2015; Kuijk et al., 2016; Kruitwagen et al., 2017) , as well as human disease models ranging from alpha-1-antitrypsin (A1AT) deficiency and Alagille syndrome to polycy…”
Self-citationOrganoids in immunological research
Bar-Ephraim, Y. E., Kretzschmar, K., & Clevers, H. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-019-0248-y · Cited by 361
3D model for CAR‐mediated cytotoxicity using patient‐derived colorectal cancer organoids
Schnalzger, T. E., de Groot, M. H., Zhang, C., Mosa, M. H., Michels, B. E., Röder, J., Darvishi, T., Wels, W. S., & Farin, H. F. (2019) · The EMBO Journal · doi:10.15252/embj.2018100928 · Cited by 354
“…for other major cancer entities such as carcinomas of the breast, prostate, stomach, pancreas, and liver (Gao et al , 2014; Boj et al , 2015; Broutier et al , 2017; Sachs et al , 2018; Seidlitz et al , 2018), the co-culture work-flows established herein may provide a valuable tool for…”
Liver organoids: from basic research to therapeutic applications
Prior, N., Inacio, P., & Huch, M. (2019) · Gut · doi:10.1136/gutjnl-2019-319256 · Cited by 356
Self-citationOrganoid technology and applications in cancer research
Xu, H., Lyu, X., Yi, M., Zhao, W., Song, Y., & Wu, K. (2018) · Journal of Hematology & Oncology · doi:10.1186/s13045-018-0662-9 · Cited by 361
“For expression profile, alfa-fetoprotein and glypican-3, markers of HCC, were upregulated in HCC tumoroids but the levels of CC markers remained low [34].”
BackgroundMethodInfluentialTumor organoids: Opportunities and challenges to guide precision medicine
Veninga, V., & Voest, E. E. (2021) · Cancer Cell · doi:10.1016/j.ccell.2021.07.020 · Cited by 339
Inflammatory Cytokine TNFα Promotes the Long-Term Expansion of Primary Hepatocytes in 3D Culture
Peng, W. C., Logan, C. Y., Fish, M., Anbarchian, T., Aguisanda, F., Álvarez-Varela, A., Wu, P., Jin, Y., Zhu, J., Li, B., et al. (2018) · Cell · doi:10.1016/j.cell.2018.11.012 · Cited by 331
Precision Medicine: Disease Subtyping and Tailored Treatment
Wang, R. C., & Wang, Z. (2023) · Cancers · doi:10.3390/cancers15153837 · Cited by 354
“The identification of the Lgr5+ adult stem cell population within the intestinal crypt [144] and the subsequent development of the growth factor recipe for human intestinal organoids [145] made the development of organoids possible and opened the way to the generation of organoids from many tissues, including the colo…”
BackgroundLi, X., Francies, H. E., Secrier, M., Perner, J., Miremadi, A., Galeano-Dalmau, N., Barendt, W. J., Letchford, L., Leyden, G. M., Goffin, E. K., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05190-9 · Cited by 316
Self-citationOrganoid Cultures as Preclinical Models of Non–Small Cell Lung Cancer
Shi, R., Radulovich, N., Ng, C., Liu, N., Notsuda, H., Cabanero, M., Martins-Filho, S. N., Raghavan, V., Li, Q., Mer, A. S., et al. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-19-1376 · Cited by 316
“They have been proposed to be better in vitro models than 2D cell lines due to higher rates of preservation of key histologic and molecular traits of their parental tumors (14, 15).”
BackgroundBuilding consensus on definition and nomenclature of hepatic, pancreatic, and biliary organoids
Marsee, A., Roos, F. J. M., Verstegen, M. M. A., Marsee, A., Roos, F., Verstegen, M., Clevers, H., Vallier, L., Takebe, T., Huch, M., et al. (2021) · Cell Stem Cell · doi:10.1016/j.stem.2021.04.005 · Cited by 310
Self-citationAn organoid biobank for childhood kidney cancers that captures disease and tissue heterogeneity
Calandrini, C., Schutgens, F., Oka, R., Margaritis, T., Candelli, T., Mathijsen, L., Ammerlaan, C. M. E., van Ineveld, R. L., Derakhshan, S., de Haan, S., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15155-6 · Cited by 317
Tang, M., Xie, Q., Gimple, R. C., Zhong, Z., Tam, T., Tian, J., Kidwell, R. L., Wu, Q., Prager, B. C., Qiu, Z., et al. (2020) · Cell Research · doi:10.1038/s41422-020-0338-1 · Cited by 311
Growth of Epithelial Organoids in a Defined Hydrogel
Broguiere, N., Isenmann, L., Hirt, C., Ringel, T., Placzek, S., Cavalli, E., Ringnalda, F., Villiger, L., Züllig, R., Lehmann, R., et al. (2018) · Advanced Materials · doi:10.1002/adma.201801621 · Cited by 282
Could 3D models of cancer enhance drug screening?
Brancato, V., Oliveira, J. M., Correlo, V. M., Reis, R. L., & Kundu, S. C. (2019) · Biomaterials · doi:10.1016/j.biomaterials.2019.119744 · Cited by 290
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Xu, H., Jiao, D., Liu, A., & Wu, K. (2022) · Journal of Hematology & Oncology · doi:10.1186/s13045-022-01278-4 · Cited by 286
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Hu, Y., Sui, X., Song, F., Li, Y., Li, K., Chen, Z., Yang, F., Chen, X., Zhang, Y., Wang, X., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22676-1 · Cited by 272
Organoids: The current status and biomedical applications
Yang, S., Hu, H., Kung, H., Zou, R.-Q., Dai, Y.-S., Hu, Y.-F., Wang, T., Lv, T., Yu, J., & Li, F. (2023) · MedComm · doi:10.1002/mco2.274 · Cited by 300
3D microfluidic ex vivo culture of organotypic tumor spheroids to model immune checkpoint blockade
Aref, A. R., Campisi, M., Ivanova, E., Portell, A., Larios, D., Piel, B. P., Mathur, N., Zhou, C., Coakley, R. V., Bartels, A., et al. (2018) · Lab on a Chip · doi:10.1039/c8lc00322j · Cited by 265
Modeling neoplastic disease with spheroids and organoids
Zanoni, M., Cortesi, M., Zamagni, A., Arienti, C., Pignatta, S., & Tesei, A. (2020) · Journal of Hematology & Oncology · doi:10.1186/s13045-020-00931-0 · Cited by 280
“3) including colon [121–125], breast [118, 126], liver [127, 128], lung [129, 130], pancreas [131, 132], endometrium [133], stomach [119, 134, 135], prostate [136, 137], ovary [138], bladder [139, 140], kidney [141–143], brain [144, 145], bone [146, 147], and esophagus [148, 149].”
BackgroundTargeted therapy for hepatocellular carcinoma: Challenges and opportunities
Chen, S., Cao, Q., Wen, W., & Wang, H. (2019) · Cancer Letters · doi:10.1016/j.canlet.2019.114428 · Cited by 253
Ongoing chromosomal instability and karyotype evolution in human colorectal cancer organoids
Bolhaqueiro, A. C. F., Ponsioen, B., Bakker, B., Klaasen, S. J., Küçükköse, E., van Jaarsveld, R. H., Vivié, J., Verlaan-Klink, I., Hami, N., Spierings, D. C. J., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0399-6 · Cited by 244
Deng, J., Wei, W., Chen, Z., Lin, B., Zhao, W., Luo, Y., & Zhang, X. (2019) · Micromachines · doi:10.3390/mi10100676 · Cited by 238
“Currently, the liver models used for in vitro studies commonly include bioreactors (perfusion model of an isolated liver system) [7], 2D planar primary rat hepatocytes [8,9], 3D-printed liver tissue [10,11], liver organoids [12,13], and liver-on-a-chip systems [14–16].”
MethodBeshiri, M. L., Tice, C. M., Tran, C., Nguyen, H. M., Sowalsky, A. G., Agarwal, S., Jansson, K. H., Yang, Q., McGowen, K. M., Yin, J., et al. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-0409 · Cited by 233
“The rich growth media and 3D matrix of organoid culture conditions have also proven useful for increasing the efficiency and histologic representation of cultures established from patient epithelial tumors including colorectal (20), liver (21), breast (22), pancreatic (23), and CRPC (17) among others.”
BackgroundEstablishment of Patient-Derived Organoids and Drug Screening for Biliary Tract Carcinoma
Saito, Y., Muramatsu, T., Kanai, Y., Ojima, H., Sukeda, A., Hiraoka, N., Arai, E., Sugiyama, Y., Matsuzaki, J., Uchida, R., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.03.088 · Cited by 233
Strategies to reduce the risks of mRNA drug and vaccine toxicity
Bitounis, D., Jacquinet, E., Rogers, M. A., & Amiji, M. M. (2024) · Nature Reviews Drug Discovery · doi:10.1038/s41573-023-00859-3 · Cited by 242
“There are now reports of human organoids that simulate human organs and even organ-specific diseases, such as hepatocellular cholangiocarcinoma 220 or alveoli that mimic the pathophysiology of cystic fibrosis 221 .”
Basic principles of biobanking: from biological samples to precision medicine for patients
Annaratone, L., Palma, G. D., Bonizzi, G., Sapino, A., Botti, G., Berrino, E., Mannelli, C., Arcella, P., Martino, S. D., Steffan, A., et al. (2021) · Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin · doi:10.1007/s00428-021-03151-0 · Cited by 227
Bioengineering Approaches for the Advanced Organoid Research
Yi, S. A., Zhang, Y., Rathnam, C., Pongkulapa, T., & Lee, K. (2021) · Advanced Materials · doi:10.1002/adma.202007949 · Cited by 218
Probing the Tumor Suppressor Function of BAP1 in CRISPR-Engineered Human Liver Organoids
Artegiani, B., van Voorthuijsen, L., Lindeboom, R. G. H., Seinstra, D., Heo, I., Tapia, P., López-Iglesias, C., Postrach, D., Dayton, T., Oka, R., et al. (2019) · Cell Stem Cell · doi:10.1016/j.stem.2019.04.017 · Cited by 218
Thorel, L., Perréard, M., Florent, R., Divoux, J., Coffy, S., Vincent, A., Gaggioli, C., Guasch, G., Gidrol, X., Weiswald, L.-B., et al. (2024) · Experimental & Molecular Medicine · doi:10.1038/s12276-024-01272-5 · Cited by 236
“For instance, PDTOs and tumor are comparable in terms of histology 18 and genetics 19 and display clonal evolution in culture 20 .”
BackgroundJacob, F., Ming, G., & Song, H. (2020) · Nature Protocols · doi:10.1038/s41596-020-0402-9 · Cited by 219
Human primary liver cancer organoids reveal intratumor and interpatient drug response heterogeneity
Li, L., Knútsdóttir, H., Hui, K., Weiss, M. J., He, J. P., Philosophe, B., Cameron, A. M., Wolfgang, C. L., Pawlik, T. M., Ghiaur, G., et al. (2019) · JCI Insight · doi:10.1172/jci.insight.121490 · Cited by 216
“For example, we found that dasatinib, recently reported as effective in a liver cancer organoid study (17), was effective (survival of less than 15%) in only 3 out of 27 PDO lines.”
BackgroundInfluentialOrgan-on-a-Chip for Cancer and Immune Organs Modeling
Sun, W., Luo, Z., Lee, J., Kim, H., Lee, K., Tebon, P., Feng, Y., Dokmeci, M. R., Sengupta, S., & Khademhosseini, A. (2019) · Advanced Healthcare Materials · doi:10.1002/adhm.201801363 · Cited by 221
Clinical applications of human organoids
Verstegen, M. M. A., Coppes, R. P., Béghin, A., Coppi, P. D., Gerli, M., de Graeff, N., Pan, Q., Saito, Y., Shi, S., ZADPOOR, A. A., et al. (2025) · Nature Medicine · doi:10.1038/s41591-024-03489-3 · Cited by 230
“The challenge here, and most probably in all tumor-related personalized medicine applications, is to reduce or eliminate the growth of nonmalignant cells that, in the current expansion protocol 52,53 , have a proliferative advantage at the expense of tumor cell growth.”
Self-citationWang, S., Wang, X., Tan, Z., Su, Y., Liu, J., Chang, M., Yan, F., Chen, J., Chen, T., Li, C., et al. (2019) · Cell Research · doi:10.1038/s41422-019-0242-8 · Cited by 214
Liu, J., Li, P., Wang, L., Li, M., Ge, Z., Noordam, L., Lieshout, R., Verstegen, M. M. A., Ma, B., Su, J., et al. (2020) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2020.09.003 · Cited by 211
“We established 6 mouse tumor organoids from carcinogen Nnitrosodiethylamine (DEN)-induced mouse liver tumors and 4 human CCA tumor organoids from resected patient CCA tumors as previously described.(4,5) CAFs were isolated and cultured from DEN-induced liver tumors of red fluorescence-expressing Rosa 26-membrane tomat…”
BackgroundMethodSelf-citationHu, B., Yu, M., Ma, X., Sun, J., Liu, C., Wang, C., Wu, S., Fu, P., Yang, Z. F., He, Y., et al. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-21-1022 · Cited by 213
Microfluidics for Drug Development: From Synthesis to Evaluation
Liu, Y., Sun, L., Zhang, H., Shang, L., & Zhao, Y. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c01289 · Cited by 211
A Pharmacogenomic Landscape in Human Liver Cancers
Qiu, Z., Li, H., Zhang, Z., Zhu, Z., He, S., Wang, X., Wang, P., Qin, J., Zhuang, L., Wang, W., et al. (2019) · Cancer Cell · doi:10.1016/j.ccell.2019.07.001 · Cited by 204
“Compared to generating HCC orgnaoids (Broutier et al., 2017; Nuciforo et al., 2018), LIMORE provided a relatively higher efficiency (50% vs ~20%).”
BackgroundMethodPatient‐Derived Organoids Can Guide Personalized‐Therapies for Patients with Advanced Breast Cancer
Chen, P., Zhang, X., Ding, R., Yang, L., Lyu, X., Zeng, J., Lei, J. H., Wang, L., Bi, J., Shao, N., et al. (2021) · Advanced Science · doi:10.1002/advs.202101176 · Cited by 222
Mo, S., Tang, P., Luo, W., Zhang, L., Li, Y., Hu, X., Ma, X., Chen, Y., Bao, Y., He, X., et al. (2022) · Advanced Science · doi:10.1002/advs.202204097 · Cited by 210
Emerging organoid models: leaping forward in cancer research
Fan, H., Demirci, U., & Chen, P. (2019) · Journal of Hematology & Oncology · doi:10.1186/s13045-019-0832-4 · Cited by 199
“Interestingly, STMN1 overexpression, which was previously thought to be associated with poor prognosis in only hepatocellular carcinoma, was proven here to be associated with low survival in cholangiocarcinoma in clinical [28].”
BackgroundDeveloping Organoids from Ovarian Cancer as Experimental and Preclinical Models
Maenhoudt, N., Defraye, C., Boretto, M., Jan, Z., Heremans, R., Boeckx, B., Hermans, F., Arijs, I., Cox, B., Van Nieuwenhuysen, E., et al. (2020) · Stem Cell Reports · doi:10.1016/j.stemcr.2020.03.004 · Cited by 186
“The loss of three mutations in EOCO_11 organoids (Figure 2G) may point to a selection of (a) subclone(s) in this particular organoid line (as also reported for other cancer-derived organoids; Boretto et al., 2019; Broutier et al., 2017).”
BackgroundOrganoid models of gastrointestinal cancers in basic and translational research
Lau, H. C.-H., Kranenburg, O., Xiao, H., & Yu, J. (2020) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-019-0255-2 · Cited by 205
van der Meer, D., Barthorpe, S., Yang, W., Lightfoot, H., Hall, C., Gilbert, J., Francies, H. E., & Garnett, M. J. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky872 · Cited by 195
Self-citationUse and application of 3D-organoid technology
Artegiani, B., & Clevers, H. C. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy187 · Cited by 198
Galan, E. A., Zhao, H., Wang, X., Dai, Q., Huck, W. T. S., & Ma, S. (2020) · Matter · doi:10.1016/j.matt.2020.08.034 · Cited by 194
Applications of organoids for cancer biology and precision medicine
Lo, Y.-H., Karlsson, K., & Kuo, C. J. (2020) · Nature Cancer · doi:10.1038/s43018-020-0102-y · Cited by 182
Promises and challenges of organoid-guided precision medicine
Bose, S., Clevers, H., & Shen, X. (2021) · Med · doi:10.1016/j.medj.2021.08.005 · Cited by 213
Magré, L., Verstegen, M. M. A., Buschow, S. I., van der Laan, L. J. W., Peppelenbosch, M. P., & Desai, J. (2023) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2022-006290 · Cited by 201
Self-citationGasparini, S. J., Llonch, S., Borsch, O., & Ader, M. (2018) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2018.11.001 · Cited by 189
Xu, H., Jiao, Y., Qin, S., Zhao, W., Chu, Q., & Wu, K. (2018) · Experimental Hematology and Oncology · doi:10.1186/s40164-018-0122-9 · Cited by 187
Cai, J., Song, L., Zhang, F., Wu, S., Zhu, G., Zhang, P., Chen, S., Du, J.-X., Wang, B., Cai, Y., et al. (2024) · 癌症:英文版 · doi:10.1002/cac2.12607 · Cited by 200
“However, traditional PDOs exhibit limited similarities to the TME [50].”
The landscape of gene mutations in cirrhosis and hepatocellular carcinoma
Müller, M., Bird, T. G., & Nault, J. (2020) · Journal of Hepatology · doi:10.1016/j.jhep.2020.01.019 · Cited by 182
“systems exist for human hepatocyte culture both in 2D and as 3D organoids [53, 98-104] with the”
BackgroundA one-stop microfluidic-based lung cancer organoid culture platform for testing drug sensitivity
Jung, D. J., Shin, T. H., Kim, M., Sung, C. O., Jang, S. J., & Jeong, G. S. (2019) · Lab on a Chip · doi:10.1039/c9lc00496c · Cited by 180
Zhou, Z., Cong, L., & Cong, X. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.762184 · Cited by 189
“Liver CSC-derived NCI-Approved Oncology Drugs Set VII 129 5 Matrigel (60) Liver CSC-dervied Target-know inhibitor + chemotherapy drugs 29 5 BME (61)”
BackgroundIn Vitro three-dimensional (3D) cell culture tools for spheroid and organoid models
Lee, S., Koo, I.-S., Hwang, H. J., & Lee, D. W. (2023) · SLAS DISCOVERY · doi:10.1016/j.slasd.2023.03.006 · Cited by 193
Tumor heterogeneity: preclinical models, emerging technologies, and future applications
Proietto, M., Crippa, M., Damiani, C., Pasquale, V., Sacco, E., Vanoni, M., & Gilardi, M. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1164535 · Cited by 188
“, breast cancer (70), liver cancer (71, 72), gastric cancer (73), colorectal cancer (74), prostate cancer (75), and pancreatic cancer (76–78).”
BackgroundSomatic cell-derived organoids as prototypes of human epithelial tissues and diseases
Fujii, M., & Sato, T. (2020) · Nature Materials · doi:10.1038/s41563-020-0754-0 · Cited by 176
Organoids to model liver disease
Nuciforo, S., & Heim, M. H. (2021) · JHEP Reports · doi:10.1016/j.jhepr.2020.100198 · Cited by 164
Patient-derived organoids in precision cancer medicine
Tong, L., Cui, W., Zhang, B., Fonseca, P., Zhao, Q. C., Zhang, P., Xu, B., Zhang, Q., Li, Z., Seashore-Ludlow, B. A., et al. (2024) · Med · doi:10.1016/j.medj.2024.08.010 · Cited by 192
Qu, J., Kalyani, F. S., Liu, L., Cheng, T., & Chen, L. (2021) · 癌症:英文版 · doi:10.1002/cac2.12224 · Cited by 173
“Three major types of liver cancer organoids, namely, hepatocellular carcinoma (HCC), cholangiocarcinoma, and HCC combined with cholangiocarcinoma, have been established [29] using typical human liver organoid culture medium and tumoroid-specific culture medium (Table 1).”
BackgroundOrganoid cultures for cancer modeling
Yan, H. H. N., Chan, A., Lai, F. P.-L., & Leung, S. Y. (2023) · Cell stem cell · doi:10.1016/j.stem.2023.05.012 · Cited by 176
Yang, H., Cheng, J., Zhuang, H., Xu, H., Wang, Y., Zhang, T., Yang, Y., Qian, H.-G., Lu, Y., Han, F., et al. (2024) · Cancer Cell · doi:10.1016/j.ccell.2024.03.004 · Cited by 172
Sun, L., Wang, Y., Cen, J., Ma, X., Cui, L., Qiu, Z., Zhang, Z., Li, H., Yang, R., Wang, C., et al. (2019) · Nature Cell Biology · doi:10.1038/s41556-019-0359-5 · Cited by 161
Concise Review: Current Status of Three-Dimensional Organoids as Preclinical Models
Kaushik, G., Ponnusamy, M. P., & Batra, S. K. (2018) · Stem Cells · doi:10.1002/stem.2852 · Cited by 156
Harnessing big ‘omics’ data and AI for drug discovery in hepatocellular carcinoma
Chen, B., Garmire, L., Calvisi, D. F., Chua, M.-S., Kelley, R. K., & Chen, X. (2020) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-019-0240-9 · Cited by 154
Promising Applications of Tumor Spheroids and Organoids for Personalized Medicine
Gilazieva, Z., Ponomarev, A. S., Rutland, C. S., Rizvanov, A. A., & Solovyeva, V. V. (2020) · Cancers · doi:10.3390/cancers12102727 · Cited by 163
“Organoid cultures of hepatocellular carcinoma and cholangiocarcinoma retained the histological architecture, gene expression and genomic landscape of the original tumor [91].”
BackgroundInfluentialSorafenib Resistance in Hepatocellular Carcinoma: The Relevance of Genetic Heterogeneity
Cabral, L. K. D., Tiribelli, C., & Sukowati, C. H. C. (2020) · Cancers · doi:10.3390/cancers12061576 · Cited by 148
“The use of 3-dimensional cultures, spheroids, and organoids would allow investigation of drug response considering other organ components and characteristics (3D- architecture, cell-to-cell, cell-to-matrix interactions, cellular heterogeneity, and tumor microenvironment), as reviewed in [129].”
BackgroundDrug repurposing screening and mechanism analysis based on human colorectal cancer organoids
Mao, Y., Wang, W., Yang, J., Zhou, X., Lu, Y., Gao, J., Wang, X., Wen, L., Fu, W., & Tang, F. (2023) · Protein & Cell · doi:10.1093/procel/pwad038 · Cited by 155
“…organoids provide an ideal preclinical model for cancer research, which faithfully recapitulates the molecular characteristics and the heterogeneities of parental tumor tissues (van de Wetering et al., 2015; Broutier et al., 2017; Sachs et al., 2018; Yan et al., 2018; Kopper et al., 2019).”
Metadata
- Authors
- Broutier, L., Mastrogiovanni, G., Verstegen, M. M., Francies, H. E., Gavarró, L. M., Bradshaw, C. R., Allen, G. E., Arnes-Benito, R., Sidorova, O., Gaspersz, M. P., Georgakopoulos, N., Koo, B.-K., Dietmann, S., Davies, S. E., Praseedom, R. K., Lieshout, R., IJzermans, J. N. M., Wigmore, S. J., Saeb-Parsy, K., Garnett, M. J., van der Laan, L. J., & Huch, M.
- Affiliations
- University of Cambridge (GB)
- Wellcome/MRC Cambridge Stem Cell Institute (GB)
- Erasmus MC (NL)
- Wellcome Sanger Institute (GB)
- Cambridge University Hospitals NHS Foundation Trust (GB)
- Edinburgh Royal Infirmary (GB)
- Corresponding author
- Huch, Meritxell
- ORCID
- Broutier, Laura
- Mastrogiovanni, Gianmarco
- Verstegen, Monique MA
- Gavarró, Lena Morrill
- Bradshaw, Charles R
- Allen, George E
- Sidorova, Olga
- Gaspersz, Marcia P
- Georgakopoulos, Nikitas
- Koo, Bon-Kyoung
- Dietmann, Sabine
- Davies, Susan E
- Praseedom, Raaj K
- Lieshout, Ruby
- IJzermans, Jan N M
- Wigmore, Stephen J
- Garnett, Mathew J
- Huch, Meritxell
- Venue
- Nature Medicine
- Published
- 2017-11-13
- Volume
- 23
- Issue
- 12
- Pages
- 1424-1435
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- PMC
- PMC5722201
- OpenAlex
- W2771057425
- Cited by
- 1,471
- References
- 74
- Citations by year
- 2026: 151 · 2025: 163 · 2024: 203 · 2023: 182 · 2022: 204 · 2021: 243 · 2020: 151 · 2019: 99 · 2018: 73 · 2017: 2
- FWCI
- 39.29
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Medicine (publishedVersion)
- PubMed (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- HAL (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- Apollo (University of Cambridge) (submittedVersion, cc-by)
- Apollo
- Funders
- Wellcome Trust (104151/Z/14/Z, C44943/A22536, 104151, 102696)
- Cancer Research UK (102696, C44943/A22536, 22536)
- University of Cambridge
- European Commission (656193, 608180)
- National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC/R001162/1)
- ZonMw
- Cambridge University Hospitals
- National Centre for the Replacement Refinement and Reduction of Animals in Research (NC/R001162/1)
- Stand Up To Cancer (SU2C-AACRDT1213)
- Horizon 2020 Framework Programme (MSCA-IF-2014)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Health Sciences › Medicine › Hepatology › Hepatocellular Carcinoma Treatment and Prognosis
- Health Sciences › Medicine › Hepatology › Liver physiology and pathology
- Keywords
- primary liver cancer, tumor organoids, hepatocellular carcinoma, cholangiocarcinoma, organoid culture, disease modeling, drug screening, xenografts, metastasis, biomarker discovery, ERK inhibitor, SCH772984, personalized medicine
- MeSH terms
- Animals, Antineoplastic Agents, Bile Duct Neoplasms, Drug Screening Assays, Antitumor, Carcinoma, Hepatocellular, Humans, Liver Neoplasms, Male, Organoids, Tumor Cells, Cultured, Gene Expression Regulation, Neoplastic, Mice, SCID, Mice, Inbred NOD, Cholangiocarcinoma, Xenograft Model Antitumor Assays, Cell Proliferation, Mice, Precision Medicine, Transcriptome, Primary Cell Culture
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