The DOI matches its Crossref record; 75 of the 79 references it cites were found in a registry or an index.
A Living Biobank of Breast Cancer Organoids Captures Disease Heterogeneity
Open accessAbstract
Breast cancer (BC) comprises multiple distinct subtypes that differ genetically, pathologically, and clinically. Here, we describe a robust protocol for long-term culturing of human mammary epithelial organoids. Using this protocol, >100 primary and metastatic BC organoid lines were generated, broadly recapitulating the diversity of the disease. BC organoid morphologies typically matched the histopathology, hormone receptor status, and HER2 status of the original tumor. DNA copy number variations as well as sequence changes were consistent within tumor-organoid pairs and largely retained even after extended passaging. BC organoids furthermore populated all major gene-expression-based classification groups and allowed in vitro drug screens that were consistent with in vivo xeno-transplantations and patient response. This study describes a representative collection of well-characterized BC organoids available for cancer research and drug development, as well as a strategy to assess in vitro drug response in a personalized fashion.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The text we found for this paper looks like another document, so the self-check wasn’t run.
Citations
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
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
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
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
HTSeq—a Python framework to work with high-throughput sequencing data
Anders, S., Pyl, P. T., & Huber, W. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btu638 · Cited by 21,464
Comprehensive molecular portraits of human breast tumours
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11412 · Cited by 12,129
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
Signatures of mutational processes in human cancer
Initiative, A. P. C. G., Alexandrov, L. B., ICGC Breast Cancer Consortium, ICGC MMML-Seq Consortium, PedBrain, I., Nik-Zainal, S., Wedge, D. C., Aparicio, S. A. J. R., Behjati, S., Biankin, A. V., et al. (2013) · Nature · doi:10.1038/nature12477 · Cited by 9,660
Adjusting 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
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
Research works printed but not linked: 1
- Blokzijl, 2016, MutationalPatterns: an integrative R package for studying patterns in base substitution catalogues, bioRxiv
Cited by
Sorted by citations
Items 501–600 of 1,002
Clinical trials in-a-dish for cardiovascular medicine
Wu, X., Swanson, K., Yıldırım, Z., Liu, W., Liao, R., & Wu, J. C. (2024) · European Heart Journal · doi:10.1093/eurheartj/ehae519 · Cited by 42
Biomaterial-assisted organoid technology for disease modeling and drug screening
Shao, Y., Wang, J., Jin, A., Jiang, S., Lei, L., & Liu, L. (2024) · Materials Today Bio · doi:10.1016/j.mtbio.2024.101438 · Cited by 45
Breast cancer organoids from a patient with giant papillary carcinoma as a high-fidelity model
Li, X., Pan, B., Song, X., Li, N., Zhao, D., Li, M., & Zhao, Z. (2020) · Cancer Cell International · doi:10.1186/s12935-020-01171-5 · Cited by 39
Patient-derived scaffolds as a drug-testing platform for endocrine therapies in breast cancer
Gustafsson, A., Garré, E., Leiva, M. C., Salerno, S., Ståhlberg, A., & Landberg, G. (2021) · Scientific Reports · doi:10.1038/s41598-021-92724-9 · Cited by 39
Yang, J., Huang, S., Cheng, S., Jin, Y., Zhang, N., & Wang, Y. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.701429 · Cited by 40
Fourier light-field imaging of human organoids with a hybrid point-spread function
Liu, W., Kim, G.-A. R., Takayama, S., & Jia, S. (2022) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2022.114201 · Cited by 40
Patient-derived Tumour Organoids: A Bridge between Cancer Biology and Personalised Therapy
Wu, W., Li, X., & Yu, S. (2022) · Acta Biomaterialia · doi:10.1016/j.actbio.2022.04.050 · Cited by 40
Systematic review: predictive value of organoids in colorectal cancer
Sakshaug, B. C., Folkesson, E., Haukaas, T. H., Visnes, T., & Flobak, Å. (2023) · Scientific Reports · doi:10.1038/s41598-023-45297-8 · Cited by 40
High-Throughput Assessment of Kinome-Wide Activation States
Schmidlin, T., Debets, D. O., van Gelder, C. A. G. H., Stecker, K. E., Rontogianni, S., van den Eshof, B. L., Kemper, K., Lips, E. H., van den Biggelaar, M., Peeper, D. S., et al. (2018) · Cell Systems · doi:10.1016/j.cels.2019.08.005 · Cited by 36
Guo, G., & Razmjooy, N. (2019) · Systems Science & Control Engineering · doi:10.1080/21642583.2019.1681033 · Cited by 38
Tanaka, N., Kanatani, S., Kaczyńska, D., Fukumoto, K., Louhivuori, L. M., Mizutani, T., Kopper, O., Kronqvist, P., Robertson, S., Lindh, C., et al. (2020) · Nature Biomedical Engineering · doi:10.1038/s41551-020-0576-z · Cited by 38
Self-citationLee, T. W., Lai, A., Harms, J. K., Singleton, D. C., Dickson, B. D., Macann, A., Hay, M. P., & Jamieson, S. M. F. (2020) · Cancers · doi:10.3390/cancers12123743 · Cited by 38
Ma, P., Chen, Y., Lai, X., Zheng, J., Ye, E., Loh, X. J., Zhao, Y., Parikh, B. H., Su, X., You, M., et al. (2021) · Macromolecular Bioscience · doi:10.1002/mabi.202100191 · Cited by 39
In vitro assays for investigating the FLASH effect
Adrian, G., Ruan, J.-L., Paillas, S., Cooper, C. R., & Petersson, K. (2022) · Expert Reviews in Molecular Medicine · doi:10.1017/erm.2022.5 · Cited by 38
Choi, B.-H., Rawat, V., Högström, J., Burns, P. A., Conger, K. O., Özgürses, M. E., Patel, J. M., Mehta, T. S., Warren, A., Selfors, L. M., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2021.110278 · Cited by 38
Würth, R., Donato, E., Michel, L. L., Saini, M., Becker, L., Cheytan, T., Doncevic, D., Meßmer, T., Gutjahr, E., Weber, R., et al. (2025) · Nature Cancer · doi:10.1038/s43018-024-00882-2 · Cited by 37
Quantitative Spatial Analysis of Metabolic Heterogeneity Across in vivo and in vitro Tumor Models
Heaster, T. M., Landman, B. A., & Skala, M. C. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.01144 · Cited by 36
Johnson, J., Sharick, J. T., Skala, M. C., & Li, L. (2019) · Journal of Mass Spectrometry · doi:10.1002/jms.4452 · Cited by 37
Mammary Organoids and 3D Cell Cultures: Old Dogs with New Tricks
Sumbal, J., Budková, Z., Traustadóttir, G. Á., & Koledova, Z. S. (2020) · Journal of Mammary Gland Biology and Neoplasia · doi:10.1007/s10911-020-09468-x · Cited by 41
Parsyan, A. E., Cruickshank, J., Hodgson, K., Wakeham, D., Pellizzari, S., Bhat, V., & Cescon, D. W. (2021) · The Breast · doi:10.1016/j.breast.2021.03.011 · Cited by 37
Guillon, J., Coquelet, H., Leman, G., Toutain, B., Petit, C., Henry, C., Boissard, A., Guette, C., & Coqueret, O. (2021) · PLoS Genetics · doi:10.1371/journal.pgen.1009953 · Cited by 36
Targeting cancer drug resistance utilizing organoid technology
Chai, C., Ji, P., Xu, H., Tang, H., Wang, Z., Zhang, H., & Zhou, W. (2022) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2022.114098 · Cited by 35
Cheng, X., Sun, Y., Highkin, M. K., Vemalapally, N., Jin, X., Zhou, B., Prior, J. L., Tipton, A. R., Li, S., Iliuk, A. B., et al. (2023) · Cancer Research · doi:10.1158/0008-5472.can-22-3558 · Cited by 38
Decoding the basis of histological variation in human cancer
Fujii, M., Sekine, S., & Sato, T. (2023) · Nature reviews. Cancer · doi:10.1038/s41568-023-00648-5 · Cited by 35
O-GlcNAcylation of MITF regulates its activity and CDK4/6 inhibitor resistance in breast cancer
Zhang, Y., Zhou, S., Kai, Y., Zhang, Y.-Q., Peng, C., Li, Z., Jameel, M., Belmar, J., Zheng, X., Ma, J., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-49875-w · Cited by 37
Organoids Provide an Important Window on Inflammation in Cancer
Baker, K. (2018) · Cancers · doi:10.3390/cancers10050151 · Cited by 37
Dzobo, K., Rowe, A., Senthebane, D. A., AlMazyadi, M., Patten, V. A., & Parker, M. I. (2018) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2018.0172 · Cited by 37
Organoids: Past Learning and Future Directions
O’Connell, L., & Winter, D. C. (2019) · Stem Cells and Development · doi:10.1089/scd.2019.0227 · Cited by 39
Pereira, E. J., Burns, J. S., Lee, C. Y., Marohl, T., Calderon, D., Wang, L., Atkins, K. A., Wang, C., & Janes, K. A. (2020) · Science Signaling · doi:10.1126/scisignal.aba4200 · Cited by 36
Zhao, F., Ci, X., Man, X., Li, J., Wei, Z., & Zhang, S. (2021) · Molecules · doi:10.3390/molecules26041016 · Cited by 38
Tissues and Tumor Microenvironment (TME) in 3D: Models to Shed Light on Immunosuppression in Cancer
Ho, T., & Msallam, R. (2021) · Cells · doi:10.3390/cells10040831 · Cited by 39
Drug screening by uniform patient derived colorectal cancer hydro-organoids
Jung, Y. H., Choi, D., Park, K., Lee, S.-B., Kim, J., Kim, H., Jeong, H., Yang, J. H., Kim, J., Chung, S. H., et al. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2021.121004 · Cited by 35
Cho, E. J., Kim, M., Jo, D., Kim, J., Oh, J., Chung, H. C., Lee, S.-H., Kim, D., Chun, S., Kim, J., et al. (2021) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-021-02034-1 · Cited by 36
In vitro models of the human heart
Hofbauer, P., Jahnel, S. M., & Mendjan, S. (2021) · Development · doi:10.1242/dev.199672 · Cited by 39
Current Status of Breast Organoid Models
Mohan, S. C., Lee, T.-Y., Giuliano, A. E., & Cui, X. (2021) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2021.745943 · Cited by 39
Patient-derived cancer models: Valuable platforms for anticancer drug testing
Genta, S., Coburn, B. A., Cescon, D. W., & Spreafico, A. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.976065 · Cited by 39
Spagnol, G., Sensi, F., Tommasi, O. D., Marchetti, M., Bonaldo, G., Xhindoli, L., Noventa, M., Agostini, M., Tozzi, R., & Saccardi, C. (2023) · Cancers · doi:10.3390/cancers15072059 · Cited by 38
Tao, M., & Wu, X. (2021) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-021-02139-7 · Cited by 35
Al‐Hamaly, M. A., Turner, L. T., Rivera-Martinez, A., Rodriguez, A., & Blackburn, J. S. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24032288 · Cited by 36
Molecular Characterization and Landscape of Breast cancer Models from a multi-omics Perspective
Ortiz, M. M. O., & Andrechek, E. R. (2023) · Journal of Mammary Gland Biology and Neoplasia · doi:10.1007/s10911-023-09540-2 · Cited by 35
Establishment of Patient-Derived Organoids Using Ascitic or Pleural Fluid from Cancer Patients
Choi, W., Kim, Y., Woo, S. M., Yu, Y., Lee, M. R., Lee, W. J., Chun, J. W., Sim, S. H., Chae, H., Shim, H., et al. (2023) · Cancer Research and Treatment · doi:10.4143/crt.2022.1630 · Cited by 40
Wu, H., Wang, W., Zhang, Y., Chen, Y., Shan, C., Li, J., Jia, Y., Li, C., Du, C., Cai, Y., et al. (2024) · International Journal of Cancer · doi:10.1002/ijc.34931 · Cited by 36
Raffo‐Romero, A., Ziane-Chaouche, L., Salomé‐Desnoulez, S., Hajjaji, N., Fournier, I., Salzet, M., & Duhamel, M. (2024) · Cell Reports Methods · doi:10.1016/j.crmeth.2024.100792 · Cited by 36
Çetįn, M., Saatci, Ö., Rezaeian, A.-H., Rao, C. N. R., Beneker, C. M., Sreenivas, K., Taylor, H. B., Pederson, B., Chatzistamou, I., Buckley, B., et al. (2024) · Cell chemical biology · doi:10.1016/j.chembiol.2024.06.012 · Cited by 39
Chen, X., Shen, J., Jiang, X., Pan, M., Chang, S., Li, J., Wang, L., Miao, M., Feng, X., Zhang, L., et al. (2024) · Theranostics · doi:10.7150/thno.102318 · Cited by 36
Pituitary Remodeling Throughout Life: Are Resident Stem Cells Involved?
Laporte, E., Vennekens, A., & Vankelecom, H. E. J. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.604519 · Cited by 41
Xia, Y., Chen, H., Li, J., Hu, H., Qian, Q., He, R.-X., Ding, Z., & Guo, S.-S. (2021) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.1c06655 · Cited by 35
Regenerative Engineering: Current Applications and Future Perspectives
Goldenberg, D., McLaughlin, C., Koduru, S. V., & Ravnic, D. J. (2021) · Frontiers in Surgery · doi:10.3389/fsurg.2021.731031 · Cited by 37
Campioni, G., Pasquale, V., Busti, S., Ducci, G., Sacco, E., & Vanoni, M. (2022) · Cells · doi:10.3390/cells11050866 · Cited by 36
Multi-hallmark long noncoding RNA maps reveal non-small cell lung cancer vulnerabilities
Esposito, R., Polidori, T., Meise, D. F., Pulido-Quetglas, C., Chouvardas, P., Forster, S., Schaerer, P., Kobel, A., Schlatter, J., Kerkhof, E., et al. (2022) · Cell Genomics · doi:10.1016/j.xgen.2022.100171 · Cited by 35
Linden, C. V., & Corbet, C. (2019) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2019.05.016 · Cited by 34
Organoids in cancer research: a review for pathologist‐scientists
Wood, L. D., & Ewald, A. J. (2021) · The Journal of Pathology · doi:10.1002/path.5684 · Cited by 35
McGrail, D. J., Pilie, P. G., Dai, H., Lam, T., Liang, Y., Voorwerk, L., Kok, M., Zhang, X. H.-F., Rosen, J. M., Heimberger, A. B., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abe6201 · Cited by 36
Engineering cell heterogeneity into organs-on-a-chip
Mertz, D. R., Ahmed, T., & Takayama, S. (2018) · Lab on a Chip · doi:10.1039/c8lc00413g · Cited by 33
Gao, J., Lan, J., Liao, H., Yang, F., Qiu, P., Jin, F., Wang, S., Shen, L., Chao, T., Zhang, C., et al. (2023) · BMC Cancer · doi:10.1186/s12885-023-11434-9 · Cited by 37
Tumour organoids and assembloids: Patient‐derived cancer avatars for immunotherapy
Mei, J., Liu, X., Tian, H., Chen, Y., Cao, Y., Zeng, J., Liu, Y., Chen, Y., Gao, Y., Yin, J., et al. (2024) · Clinical and Translational Medicine · doi:10.1002/ctm2.1656 · Cited by 34
Decellularized extracellular matrix for organoid and engineered organ culture
Guo, X., Liu, B., Zhang, Y., Cheong, S., Xu, T., Lu, F., & He, Y. (2024) · Journal of Tissue Engineering · doi:10.1177/20417314241300386 · Cited by 44
Karolak, A. M., Poonja, S., & Rejniak, K. A. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007214 · Cited by 33
Driehuis, E., Oosterom, N., Heil, S. G., Muller, I. B., Lin, M., Kolders, S., Jansen, G., de Jonge, R., Pieters, R., Clevers, H. C., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0231588 · Cited by 37
Self-citationThree-Dimensional Culture Systems in Gastric Cancer Research
Alzeeb, G., Metges, J., Corcos, L., & Jossic-Corcos, C. L. (2020) · Cancers · doi:10.3390/cancers12102800 · Cited by 38
Rao, S., Hossain, T., & Mahmoudi, T. (2021) · Cancer Letters · doi:10.1016/j.canlet.2021.02.024 · Cited by 34
Emerging liver organoid platforms and technologies
Lam, D. T. U. H., Dan, Y. Y., Chan, Y.-S., & Ng, H. (2021) · Cell Regeneration · doi:10.1186/s13619-021-00089-1 · Cited by 36
Spelier, S., de Poel, E., Ithakisiou, G. N., Suen, S. W. F., Hagemeijer, M. C., Muilwijk, D., Vonk, A. M., Brunsveld, J. E., Kruisselbrink, E., van der Ent, C. K., et al. (2022) · ERJ Open Research · doi:10.1183/23120541.00495-2022 · Cited by 38
Integration of organoids in peptide drug discovery: Rise of the high‐throughput screening
Zhang, S., Shen, J., Wang, X., Sun, X., Wu, Y., Zhang, M., Wang, R., & Hu, K. (2023) · Open Research (University of Surrey) · doi:10.1002/viw.20230010 · Cited by 33
Utilizing gastric cancer organoids to assess tumor biology and personalize medicine
Lin, M., Gao, M., Cavnar, M. J., & Kim, J. (2019) · World Journal of Gastrointestinal Oncology · doi:10.4251/wjgo.v11.i7.509 · Cited by 33
Mapping oncogenic protein interactions for precision medicine
Tabar, M. S., Francis, H., Yeo, D., Bailey, C. G., & Rasko, J. E. J. (2022) · International Journal of Cancer · doi:10.1002/ijc.33954 · Cited by 30
On-chip modeling of tumor evolution: Advances, challenges and opportunities
Li, C., Holman, J. B., Shi, Z., Qiu, B., & Ding, W. (2023) · Materials Today Bio · doi:10.1016/j.mtbio.2023.100724 · Cited by 33
Organoid-on-a-chip: Current challenges, trends, and future scope toward medicine
Li, Z., Li, Q., Zhou, C., Lu, K., Liu, Y., Xuan, L., & Wang, X. (2023) · Biomicrofluidics · doi:10.1063/5.0171350 · Cited by 33
Major, G. S., Ahn, M., Cho, W.-W., Santos, M., Wise, J., Phillips, E., Wise, S. G., Jang, J., Rnjak‐Kovacina, J., Woodfield, T. B. F., et al. (2024) · Materials Today Bio · doi:10.1016/j.mtbio.2024.101004 · Cited by 32
Yu, Y., Deng, H., Wang, W., Xiao, S., Zheng, R., Lv, L., Wang, H., Chen, J., & Zhang, B. (2024) · Clinical and Translational Medicine · doi:10.1002/ctm2.1583 · Cited by 33
Derouane, F., Desgres, M., Moroni, C., Ambroise, J., Berlière, M., Bockstal, M. V., Galant, C., van Marcke, C., Vara-Messler, M., Hutten, S. J., et al. (2024) · Breast Cancer Research · doi:10.1186/s13058-024-01788-8 · Cited by 34
Ascheid, D., Baumann, M., Pinnecker, J., Friedrich, M., Szi-Marton, D., Medved, C., Bundalo, M., Ortmann, V., Öztürk, A., Nandigama, R., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-48010-z · Cited by 32
Reimagining human-centric drug development with new approach methodologies
Wu, X., Wu, M. A., Zou, J., Kleinstreuer, N., & Wu, J. C. (2026) · Science · doi:10.1126/science.aeb0045 · Cited by 37
Roelofs, C., Hollande, F., Redvers, R. P., Anderson, R. L., & Mérino, D. (2019) · Biochemical Society Transactions · doi:10.1042/bst20180375 · Cited by 32
Inflammatory Breast Cancer: a Separate Entity
Rosenbluth, J. M., & Overmoyer, B. A. (2019) · Current Oncology Reports · doi:10.1007/s11912-019-0842-y · Cited by 32
Bioprofiling TS/A Murine Mammary Cancer for a Functional Precision Experimental Model
Giovanni, C. D., Nicoletti, G., Landuzzi, L., Palladini, A., Lollini, P., & Nanni, P. (2019) · Cancers · doi:10.3390/cancers11121889 · Cited by 32
Use of preclinical models for malignant pleural mesothelioma
Shamseddin, M., Obacz, J., Garnett, M. J., Rintoul, R. C., Francies, H. E., & Marciniak, S. J. (2021) · Thorax · doi:10.1136/thoraxjnl-2020-216602 · Cited by 30
Volumetric growth tracking of patient-derived cancer organoids using optical coherence tomography
Gil, D. A., Deming, D. A., & Skala, M. C. (2021) · Biomedical Optics Express · doi:10.1364/boe.428197 · Cited by 33
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
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
Saeki, S., Kumegawa, K., Takahashi, Y., Yang, L., Osako, T., Yasen, M., Otsuji, K., Miyata, K., Yamakawa, K., Suzuka, J., et al. (2023) · Breast Cancer Research · doi:10.1186/s13058-023-01617-4 · Cited by 33
Abolhassani, H., Eskandari, A., Poor, A. S., Zarrabi, A., Khodadadi, B., Karimifard, S., Sahrayi, H., Bourbour, M., & Yaraki, M. T. (2024) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2024.215754 · Cited by 35
The Transformative Role of 3D Culture Models in Triple-Negative Breast Cancer Research
Bittman-Soto, X. S., Thomas, E. S., Ganshert, M., Mendez‐Santacruz, L. L., & Harrell, J. C. (2024) · Cancers · doi:10.3390/cancers16101859 · Cited by 31
Refining Early Antitumoral Drug Development
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
Du, M., Lei, M., Han, Y., Zhao, D., Zhang, X., Yang, Y.-Y., & Liu, R. (2018) · OncoTargets and Therapy · doi:10.2147/ott.s187221 · Cited by 31
Franco, G. D., Usai, A., Funel, N., Palmeri, M., Montesanti, I. E. R., Bianchini, M., Gianardi, D., Furbetta, N., Guadagni, S., Vasile, E., et al. (2020) · World Journal of Gastroenterology · doi:10.3748/wjg.v26.i21.2792 · Cited by 31
The Progress and Clinical Application of Breast Cancer Organoids
Yu, J. S., & Huang, W. (2020) · International Journal of Stem Cells · doi:10.15283/ijsc20082 · Cited by 32
High-resolution positron emission microscopy of patient-derived tumor organoids
Khan, S., Shin, J. H., Ferri, V., Cheng, N., Noel, J. E., Kuo, C. J., Sunwoo, J. B., & Pratx, G. (2021) · Nature Communications · doi:10.1038/s41467-021-26081-6 · Cited by 33
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
O-linked α2,3 sialylation defines stem cell populations in breast cancer
Walker, M. R., Goel, H. L., Mukhopadhyay, D., et al. (2022) · Science Advances · doi:10.1126/sciadv.abj9513 · Cited by 31
Carter, M. E., Hartkopf, A. D., Wagner, A., Volmer, L. L., Brucker, S. Y., Berchtold, S., Lauer, U. M., & Koch, A. (2022) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2022.826302 · Cited by 31
Amyloid fibril-based thixotropic hydrogels for modeling of tumor spheroids in vitro
Singh, N., Patel, K., Navalkar, A., Kadu, P., Datta, D., Chatterjee, D., Mukherjee, S., Shaw, R., Gahlot, N., Shaw, A., et al. (2023) · Biomaterials · doi:10.1016/j.biomaterials.2023.122032 · Cited by 36
Opportunities and challenges to engineer 3D models of tumor-adaptive immune interactions
Visalakshan, R. M., Lowrey, M. K., Sousa, M. G. C., Helms, H. R., Samiea, A., Schutt, C. E., Moreau, J. M., & Bertassoni, L. E. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1162905 · Cited by 32
Högström, J., Cruz, K. A., Selfors, L. M., Ward, M. N., Mehta, T. S., Kanarek, N., Philips, J., Dialani, V. M., Wulf, G. M., Collins, L. C., et al. (2023) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2023.105021 · Cited by 28
Li, M., Nishimura, T., Takeuchi, Y., Hongu, T., Wang, Y., Shiokawa, D., Wang, K., Hirose, H., Sasahara, A., Yano, M., et al. (2023) · Journal of Clinical Investigation · doi:10.1172/jci166666 · Cited by 30
Liu, B., Zhu, Y., Yang, Z., Yan, H. H. N., Leung, S. Y., & Shi, J. (2023) · Cancer Research · doi:10.1158/0008-5472.can-23-1100 · Cited by 31
Patient‐Derived Organoids as Therapy Screening Platforms in Cancer Patients
Khorsandi, D., Yang, J., Foster, S., Khosravi, S., Kouchehbaghi, N. H., Zarei, F., Lee, Y. B., Runa, F., Gangrade, A., Voskanian, L., et al. (2024) · Advanced Healthcare Materials · doi:10.1002/adhm.202302331 · Cited by 33
Machine learning-assisted exploration of multidrug-drug administration regimens for organoid arrays
Yakavets, I., Kheiri, S., Cruickshank, J., Hickman, R. J., Rakhshani, F., Aldeghi, M., Rajaonson, E. M., Young, E. W. K., Aspuru‐Guzik, A., Cescon, D. W., et al. (2025) · Science Advances · doi:10.1126/sciadv.adt1851 · Cited by 31
Sample, M., Boulicault, M., Allen, C. R., Bashir, R., Hyun, I., Levis, M., Lowenthal, C., Mertz, D. R., Montserrat, N., Palmer, M. J., et al. (2019) · Biofabrication · doi:10.1088/1758-5090/ab268c · Cited by 29
Metadata
- Authors
- Sachs, N., de Ligt, J., Kopper, O., Gogola, E., Bounova, G., Weeber, F., Balgobind, A. V., Wind, K., Gracanin, A., Begthel, H., Korving, J., van Boxtel, R., Duarte, A. A., Lelieveld, D., van Hoeck, A., Ernst, R. F., Blokzijl, F., Nijman, I. J., Hoogstraat, M., van de Ven, M., Egan, D. A., Zinzalla, V., Moll, J., Boj, S. F., Voest, E. E., Wessels, L., van Diest, P. J., Rottenberg, S., Vries, R. G. J., Cuppen, E., & Clevers, H.
- Affiliations
- Royal Netherlands Academy of Arts and Sciences (NL)
- The Netherlands Cancer Institute (NL)
- University Medical Center Utrecht (NL)
- Utrecht University (NL)
- Boehringer Ingelheim (Austria) (AT)
- Oncode Institute (NL)
- University of Bern (CH)
- Corresponding author
- Clevers, Hans
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 172
- Issue
- 1-2
- Pages
- 373-386.e10
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2773981699
- Cited by
- 1,973
- References
- 79
- Citations by year
- 2026: 219 · 2025: 240 · 2024: 288 · 2023: 251 · 2022: 274 · 2021: 259 · 2020: 238 · 2019: 127 · 2018: 74
- FWCI
- 53.62
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences) (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Bern Open Repository and Information System (University of Bern) (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- KNAW research portal (Royal Academy of Art and Sciences (KNAW)) (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion)
- Funders
- MKMD (114021012)
- Netherlands Organization for Scientific Research (91615182, 114021012)
- Stand Up to Cancer International Translational Cancer Research Grant
- Stichting Vrienden van Hubrecht (2012.010)
- Cancer Genomic Center (2014-186)
- Boehringer-Ingelheim RCV GmbH & Co KG (141947)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Keywords
- breast cancer, organoid biobank, tumor heterogeneity, metastatic breast cancer, long-term organoid culture, copy number variation, gene expression subtypes, hormone receptor status, HER2 status, in vitro drug testing, xenotransplantation
- MeSH terms
- Animals, Antineoplastic Agents, Breast Neoplasms, Cells, Cultured, Drug Screening Assays, Antitumor, Female, Humans, Mice, Nude, Organoids, Tissue Banks, Genetic Heterogeneity, Mice, Precision Medicine
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review