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Organoid Cultures Derived from Patients with Advanced Prostate Cancer
Open accessAbstract
The lack of in vitro prostate cancer models that recapitulate the diversity of human prostate cancer has hampered progress in understanding disease pathogenesis and therapy response. Using a 3D organoid system, we report success in long-term culture of prostate cancer from biopsy specimens and circulating tumor cells. The first seven fully characterized organoid lines recapitulate the molecular diversity of prostate cancer subtypes, including TMPRSS2-ERG fusion, SPOP mutation, SPINK1 overexpression, and CHD1 loss. Whole-exome sequencing shows a low mutational burden, consistent with genomics studies, but with mutations in FOXA1 and PIK3R1, as well as in DNA repair and chromatin modifier pathways that have been reported in advanced disease. Loss of p53 and RB tumor suppressor pathway function are the most common feature shared across the organoid lines. The methodology described here should enable the generation of a large repertoire of patient-derived prostate cancer lines amenable to genetic and pharmacologic studies.
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“Tumor tissue, derived from either biopsies or surgical resections, is also typically processed akin to normal tissue to isolate tumour cells to grow as organoids16,49–51.”
From Organoids (2022) · cites this paper as [51]
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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
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
Cerami, E., Gao, J., Dogrusoz, U., Gross, B. E., Sumer, S. O., Aksoy, B. A., Jacobsen, A., Byrne, C. J., Heuer, M. L., Larsson, E., et al. (2012) · Cancer Discovery · doi:10.1158/2159-8290.cd-12-0095 · Cited by 17,455
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
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
Integrated genomic analyses of ovarian carcinoma
Perou, C. M. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/hvp3-wg08 · Cited by 7,927
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-citationIncreased Survival with Enzalutamide in Prostate Cancer after Chemotherapy
Scher, H. I., Fizazi, K., Saad, F., Taplin, M.-E., Sternberg, C. N., Miller, K., de Wit, R., Mulders, P., Chi, K. N., Shore, N. D., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1207506 · Cited by 4,586
Self-citationAbiraterone and Increased Survival in Metastatic Prostate Cancer
de Bono, J. S., Logothetis, C. J., Molina, A., Fizazi, K., North, S., Chu, L., Chi, K. N., Jones, R. J., Goodman, O. B., Saad, F., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1014618 · Cited by 4,407 · cited 1×
“These include the next-generation antiandrogen enzalutamide and the androgen synthesis inhibitor abiraterone acetate, both of which have been shown to significantly prolong life (de Bono et al., 2011; Ryan et al., 2012; Scher et al., 2012).”
Self-citation
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Integrative Clinical Genomics of Advanced Prostate Cancer
Robinson, D., Van Allen, E. M., Wu, Y.-M., Schultz, N., Lonigro, R. J., Mosquera, J.-M., Montgomery, B., Taplin, M.-E., Pritchard, C. C., Attard, G., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.001 · Cited by 3,645
“, ZBTB16) warrant exploration in prostate cancer model systems, including organoid cultures (Gao et al., 2014).”
Self-citationOrganoid Models and Applications in Biomedical Research
Xinaris, C., Brizi, V., & Remuzzi, G. (2015) · The Nephron journals/Nephron journals · doi:10.1159/000433566 · Cited by 3,519
Modeling Development and Disease with Organoids
Clevers, H. (2016) · Cell · doi:10.1016/j.cell.2016.05.082 · Cited by 3,196
Self-citationOrganoid models of human and mouse ductal pancreatic cancer
Boj, S. F., Hwang, C.-I., Baker, L. A., Chio, I. I. C., Engle, D. D., Corbo, V., Jager, M., Ponz-Sarvise, M., Tiriac, H., Spector, M. S., et al. (2015) · Cell · doi:10.1016/j.cell.2014.12.021 · Cited by 2,150
Self-citationHuman 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
Dependency of a therapy-resistant state of cancer cells on a lipid peroxidase pathway
Viswanathan, V. S., Ryan, M. J., Dhruv, H. D., Gill, S., Eichhoff, O. M., Seashore-Ludlow, B., Kaffenberger, S. D., Eaton, J. K., Shimada, K., Aguirre, A. J., et al. (2017) · Nature · doi:10.1038/nature23007 · Cited by 2,011
Self-citationA living biobank of breast cancer organoids captures disease heterogeneity
Sachs, N., de Ligt, J., Kopper, O., Gogola, E., Bounova, G., Weeber, F., Balgobind, A. V., Wind, K., Gracanin, A., Begthel, H., et al. (2018) · Cell · doi:10.1016/j.cell.2017.11.010 · Cited by 1,973
Self-citationIntegrating liquid biopsies into the management of cancer
Siravegna, G., Marsoni, S., Siena, S., & Bardelli, A. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2017.14 · Cited by 1,985
Drost, J., & Clevers, H. (2018) · Nature Reviews Cancer · doi:10.1038/s41568-018-0007-6 · Cited by 1,790
Self-citationEmerging mechanisms of resistance to androgen receptor inhibitors in prostate cancer
Watson, P. A., Arora, V. K., & Sawyers, C. L. (2015) · Nature Reviews Cancer · doi:10.1038/nrc4016 · Cited by 1,536
Self-citationOrganoids as an in vitro model of human development and disease
Fatehullah, A., Tan, S. H., & Barker, N. (2016) · Nature Cell Biology · doi:10.1038/ncb3312 · Cited by 1,508
Human primary liver cancer–derived organoid cultures for disease modeling and drug screening
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., et al. (2017) · Nature Medicine · doi:10.1038/nm.4438 · Cited by 1,471
Progress and potential in organoid research
Rossi, G., Manfrin, A., & Lutolf, M. P. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0051-9 · Cited by 1,182
Hofer, 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
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
Personalized In Vitro and In Vivo Cancer Models to Guide Precision Medicine
Pauli, C., Hopkins, B. D., Prandi, D., Shaw, R. C., Fedrizzi, T., Sboner, A., Sailer, V., Augello, M. A., Puca, L., Rosati, R., et al. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-16-1154 · Cited by 964
Self-citationLiquid biopsy: current technology and clinical applications
Nikanjam, M., Kato, S., & Kurzrock, R. (2022) · Journal of Hematology & Oncology · doi:10.1186/s13045-022-01351-y · Cited by 963
Cancer modeling meets human organoid technology
Tuveson, D., & Clevers, H. (2019) · Science · doi:10.1126/science.aaw6985 · Cited by 935
Self-citationTumor 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
An organoid platform for ovarian cancer captures intra- and interpatient heterogeneity
Kopper, O., de Witte, C. J., Lõhmussaar, K., Valle-Inclan, J. E., Hami, N., Kester, L., Balgobind, A. V., Korving, J., Proost, N., Begthel, H., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0422-6 · Cited by 834
Self-citationPatient-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
Disease modeling in stem cell-derived 3D organoid systems
Dutta, D., Heo, I., & Clevers, H. (2017) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2017.02.007 · Cited by 838
Self-citationEngineering Stem Cell Organoids
Yin, X., Mead, B. E., Safaee, H., Langer, R., Karp, J. M., & Levy, O. (2016) · Cell Stem Cell · doi:10.1016/j.stem.2015.12.005 · Cited by 866
Genetics and biology of prostate cancerPreprint
Wang, G., Zhao, D., Spring, D. J., & DePinho, R. A. (2018) · Genes & Development · doi:10.1101/gad.315739.118 · Cited by 814
Identification of Multipotent Luminal Progenitor Cells in Human Prostate Organoid Cultures
Karthaus, W. R., Iaquinta, P. J., Drost, J., Gracanin, A., van Boxtel, R., Wongvipat, J., Dowling, C., Gao, D., Begthel, H., Sachs, N., et al. (2014) · Cell · doi:10.1016/j.cell.2014.08.017 · Cited by 739
Self-citationOrganoid culture systems for prostate epithelial and cancer tissue
Drost, J., Karthaus, W. R., Gao, D., Driehuis, E., Sawyers, C. L., Chen, Y., & Clevers, H. C. (2016) · Nature Protocols · doi:10.1038/nprot.2016.006 · Cited by 712
Self-citationHubert, C. G., Rivera, M., Spangler, L. C., Wu, Q., Mack, S. C., Prager, B. C., Couce, M., McLendon, R. E., Sloan, A. E., & Rich, J. N. (2016) · Cancer Research · doi:10.1158/0008-5472.can-15-2402 · Cited by 673
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
Self-citationInterrogating open issues in cancer precision medicine with patient-derived xenografts
Byrne, A. T., Alférez, D., Amant, F. C., Annibali, D., Arribas, J., Biankin, A. V., Bruna, A., Budínská, E., Caldas, C., Chang, D. K.-F., et al. (2017) · Nature reviews. Cancer · doi:10.1038/nrc.2016.140 · Cited by 683
Self-citationSeino, T., Kawasaki, S., Shimokawa, M., Tamagawa, H., Toshimitsu, K., Fujii, M., Ohta, Y., Matano, M., Nanki, K., Kawasaki, K., et al. (2018) · Cell Stem Cell · doi:10.1016/j.stem.2017.12.009 · Cited by 631
Yi, H.-G., Jeong, Y. H., Kim, Y., Choi, Y.-J., Moon, H. E., Park, S. H., Kang, K. S., Bae, M., Jang, J., Youn, H., et al. (2019) · Nature Biomedical Engineering · doi:10.1038/s41551-019-0363-x · Cited by 634
Ex Vivo Profiling of PD-1 Blockade Using Organotypic Tumor Spheroids
Jenkins, R. W., Aref, A. R., Lizotte, P. H., Ivanova, E., Stinson, S., Zhou, C. W., Bowden, M., Deng, J., Liu, H., Miao, D., et al. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-0833 · Cited by 594
Precision medicine for cancer with next-generation functional diagnostics
Friedman, A. A., Letai, A., Fisher, D. E., & Flaherty, K. T. (2015) · Nature Reviews Cancer · doi:10.1038/nrc4015 · Cited by 570
N-Myc Induces an EZH2-Mediated Transcriptional Program Driving Neuroendocrine Prostate Cancer
Dardenne, É., Beltran, H., Benelli, M., Gayvert, K. M., Berger, A., Puca, L., Cyrta, J., Sboner, A., Noorzad, Z., MacDonald, T. Y., et al. (2016) · Cancer Cell · doi:10.1016/j.ccell.2016.09.005 · Cited by 579
Self-citationCorrò, C., Novellasdemunt, L., & Li, V. S. W. (2020) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00120.2020 · Cited by 561
Ultra-fast, label-free isolation of circulating tumor cells from blood using spiral microfluidics
Warkiani, M. E., Khoo, B. L., Wu, L., Tay, A. K. P., Bhagat, A. A. S., Han, J., & Lim, C. T. (2015) · Nature Protocols · doi:10.1038/nprot.2016.003 · Cited by 549
Modeling mouse and human development using organoid cultures
Huch, M., & Koo, B. (2015) · Development · doi:10.1242/dev.118570 · Cited by 578
The biology of circulating tumor cells
Pantel, K., & Speicher, M. R. (2015) · Oncogene · doi:10.1038/onc.2015.192 · Cited by 556
The present and future of the Cancer Dependency Map
Arafeh, R., Shibue, T., Dempster, J. M., Hahn, W. C., & Vazquez, F. (2025) · Nature Reviews Cancer · doi:10.1038/s41568-024-00763-x · Cited by 454
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
Self-citationOrganoid-on-a-chip and body-on-a-chip systems for drug screening and disease modeling
Skardal, A., Shupe, T., & Atala, A. (2016) · Drug Discovery Today · doi:10.1016/j.drudis.2016.07.003 · Cited by 512
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
Weeber, F., van de Wetering, M., Hoogstraat, M., Dijkstra, K. K., Krijgsman, O., Kuilman, T., Gadellaa-van Hooijdonk, C. G. M., van der Velden, D. L., Peeper, D. S., Cuppen, E. P. J. G., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1516689112 · Cited by 482
Self-citationHuman 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
Tumor Organoids as a Pre-clinical Cancer Model for Drug Discovery
Weeber, F., Ooft, S., Dijkstra, K. K., & Voest, E. E. (2017) · Cell chemical biology · doi:10.1016/j.chembiol.2017.06.012 · Cited by 501
Organoid 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
“Patient-derived tumor organoids have recently been described for prostate (Gao et al., 2014), pancreatic (Boj et al.”
BackgroundApplications of patient-derived tumor xenograft models and tumor organoids
Yoshida, G. J. (2020) · Journal of Hematology & Oncology · doi:10.1186/s13045-019-0829-z · Cited by 471
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
Role of non-coding sequence variants in cancer
Khurana, E., Fu, Y., Chakravarty, D., Demichelis, F., Rubin, M. A., & Gerstein, M. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2015.17 · Cited by 459
Self-citationPrediction of DNA Repair Inhibitor Response in Short-Term Patient-Derived Ovarian Cancer Organoids
Hill, S. J., Decker, B., Roberts, E. A., Horowitz, N. S., Muto, M. G., Worley, M. J., Feltmate, C. M., Nucci, M. R., Swisher, E. M., Nguyen, H., et al. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-18-0474 · Cited by 452
Boretto, M., Cox, B., Noben, M., Hendriks, N., Fassbender, A., Roose, H., Amant, F., Timmerman, D., Tomassetti, C., Vanhie, A., et al. (2017) · Development · doi:10.1242/dev.148478 · Cited by 459
The hope and the hype of organoid research
Huch, M., Knoblich, J. A., Lutolf, M. P., & Martinez-Arias, A. (2017) · Development · doi:10.1242/dev.150201 · Cited by 409
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
Self-citationThe Role of Lineage Plasticity in Prostate Cancer Therapy Resistance
Beltran, H., Hruszkewycz, A. M., Scher, H. I., Hildesheim, J., Isaacs, J. S., Yu, E. Y., Kelly, K., Lin, D. W., Dicker, A. P., Arnold, J. T., et al. (2019) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-19-1423 · Cited by 426
Self-citationUnravelling biology and shifting paradigms in cancer with single-cell sequencing
Baslan, T., & Hicks, J. B. (2017) · Nature reviews. Cancer · doi:10.1038/nrc.2017.58 · Cited by 382
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
Patient derived organoids to model rare prostate cancer phenotypes
Puca, L., Bareja, R., Prandi, D., Shaw, R. C., Benelli, M., Karthaus, W. R., Hess, J., Sigouros, M., Donoghue, A., Kossaï, M., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04495-z · Cited by 366
Self-citationOrganoids — Preclinical Models of Human Disease
Li, M., & Belmonte, J. C. I. (2019) · New England Journal of Medicine · doi:10.1056/nejmra1806175 · Cited by 373
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
Lineage plasticity in prostate cancer depends on JAK/STAT inflammatory signaling
Chan, J. M., Zaidi, S., Love, J. R., Zhao, J. L., Setty, M. N., Wadosky, K. M., Gopalan, A., Choo, Z.-N., Persad, S., Choi, J., et al. (2022) · Science · doi:10.1126/science.abn0478 · Cited by 359
Self-citationIgnatiadis, M., Lee, M., & Jeffrey, S. S. (2015) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-14-1190 · Cited by 363
A genomic and epigenomic atlas of prostate cancer in Asian populations
Li, J., Xu, C., Lee, H. J., Ren, S., Zi, X., Zhang, Z., Wang, H., Yu, Y., Yang, C., Gao, X., et al. (2020) · Nature · doi:10.1038/s41586-020-2135-x · Cited by 353
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
Examining the utility of patient-derived xenograft mouse models
Aparicio, S. A. J. R., Hidalgo, M. M., & Kung, A. L. (2015) · Nature reviews. Cancer · doi:10.1038/nrc3944 · Cited by 352
Reprogramming normal human epithelial tissues to a common, lethal neuroendocrine cancer lineage
Park, J. W., Lee, J. K., Sheu, K. M., Wang, L., Balanis, N. G., Nguyen, K. N., Smith, B. A., Cheng, C., Tsai, B. L., Cheng, D., et al. (2018) · Science · doi:10.1126/science.aat5749 · Cited by 341
Tumor 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
Dai, X., Gan, W., Li, X., Wang, S., Zhang, W., Huang, L., Liu, S., Zhong, Q., Guo, J., Zhang, J., et al. (2017) · Nature Medicine · doi:10.1038/nm.4378 · Cited by 349
Self-citationHuman gastric cancer modelling using organoids
Seidlitz, T., Merker, S. R., Rothe, A., Zakrzewski, F., von Neubeck, C., Grützmann, K., Sommer, U. J., Schweitzer, C., Schölch, S., Uhlemann, H., et al. (2018) · Gut · doi:10.1136/gutjnl-2017-314549 · Cited by 333
Suppressing fatty acid uptake has therapeutic effects in preclinical models of prostate cancer
Watt, M. J., Clark, A. K., Selth, L. A., Haynes, V. R., Lister, N. L., Rebello, R. J., Porter, L. H., Niranjan, B., Whitby, S., Lo, J. C. Y., et al. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aau5758 · Cited by 332
Precision Medicine: Disease Subtyping and Tailored Treatment
Wang, R. C., & Wang, Z. (2023) · Cancers · doi:10.3390/cancers15153837 · Cited by 354
Li, 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
Organoid 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
An 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
Self-citationTranslational value of mouse models in oncology drug development
Gould, S. E., Junttila, M. R., & de Sauvage, F. J. (2015) · Nature Medicine · doi:10.1038/nm.3853 · Cited by 293
Multi-lineage human iPSC-derived platforms for disease modeling and drug discovery
Sharma, A., Sances, S., Workman, M. J., & Svendsen, C. N. (2020) · Cell Stem Cell · doi:10.1016/j.stem.2020.02.011 · Cited by 296
Zadra, G., Ribeiro, C. F., Chetta, P., Ho, Y., Cacciatore, S., Gao, X., Syamala, S., Bango, C., Photopoulos, C., Huang, Y., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1808834116 · Cited by 304
Beltran, H., Oromendia, C., Danila, D. C., Montgomery, B., Hoimes, C. J., Szmulewitz, R. Z., Vaishampayan, U. N., Armstrong, A. J., Stein, M. N., Pinski, J., et al. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-1912 · Cited by 301
Self-citationTang, 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
Whole-Exome Sequencing of Metastatic Cancer and Biomarkers of Treatment Response
Beltran, H., Eng, K., Mosquera, J. M., Sigaras, A., Romanel, A., Rennert, H., Kossaï, M., Pauli, C., Faltas, B. M., Fontugne, J., et al. (2015) · JAMA Oncology · doi:10.1001/jamaoncol.2015.1313 · Cited by 287
Self-citationOrthotopic patient-derived xenografts of paediatric solid tumours
Stewart, E., Federico, S. M., Chen, X., Shelat, A. A., Bradley, C., Gordon, B., Karlstrom, A., Twarog, N. R., Clay, M. R., Bahrami, A., et al. (2017) · Nature · doi:10.1038/nature23647 · Cited by 286
Emerging concepts in liquid biopsies
Perakis, S. O., & Speicher, M. R. (2017) · BMC Medicine · doi:10.1186/s12916-017-0840-6 · Cited by 288
Tumor organoids: applications in cancer modeling and potentials in precision medicine
Xu, H., Jiao, D., Liu, A., & Wu, K. (2022) · Journal of Hematology & Oncology · doi:10.1186/s13045-022-01278-4 · Cited by 286
Personalized Cancer Medicine: An Organoid Approach
Es, H. A., Montazeri, L., Aref, A. R., Vosough, M., & Baharvand, H. (2018) · Trends in biotechnology · doi:10.1016/j.tibtech.2017.12.005 · Cited by 286
Lung cancer organoids analyzed on microwell arrays predict drug responses of patients within a week
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
Chromatin profiles classify castration-resistant prostate cancers suggesting therapeutic targets
Tang, F., Xu, D., Wang, S., Wong, C. K., Martinez‐Fundichely, A., Lee, C. J., Cohen, S. M., Park, J., Hill, C. E., Eng, K. W., et al. (2022) · Science · doi:10.1126/science.abe1505 · Cited by 272
Self-citationDhimolea, E., Simoes, R. D. M., Kansara, D. N., Al’Khafaji, A. M., Bouyssou, J., Weng, X., Sharma, S., Raja, J., Awate, P., Shirasaki, R., et al. (2021) · Cancer Cell · doi:10.1016/j.ccell.2020.12.002 · Cited by 268
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Verissimo, C. S., Overmeer, R. M., Ponsioen, B., Drost, J., Mertens, S., Verlaan-Klink, I., Gerwen, B. V., van der Ven, M., Wetering, M. V. D., Egan, D. A., et al. (2016) · eLife · doi:10.7554/elife.18489 · Cited by 263
Self-citationModeling 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
Tumor Microenvironment-Derived NRG1 Promotes Antiandrogen Resistance in Prostate Cancer
Zhang, Z., Karthaus, W. R., Lee, Y. S., Gao, V. R., Wu, C., Russo, J. W., Liu, M., Mota, J. M., Abida, W. M., Linton, E. L., et al. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.06.005 · Cited by 260
Self-citationChallenges in Establishing Pure Lung Cancer Organoids Limit Their Utility for Personalized Medicine
Dijkstra, K. K., Monkhorst, K., Schipper, L. J., Hartemink, K. J., Smit, E. F., Kaing, S., de Groot, R., Wolkers, M. C., Clevers, H., Cuppen, E., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107588 · Cited by 254
Self-citationOncogene addiction: pathways of therapeutic response, resistance, and road maps toward a cure
Pagliarini, R. A., Shao, W., & Sellers, W. R. (2015) · EMBO Reports · doi:10.15252/embr.201439949 · Cited by 264
Beshiri, 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
Establishment 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
Patient-derived micro-organospheres enable clinical precision oncology
Ding, S., Hsu, C., Wang, Z., Natesh, N. R., Millen, R., Negrete, M., Giroux, N., Rivera, G. O., Dohlman, A., Bose, S., et al. (2022) · Cell Stem Cell · doi:10.1016/j.stem.2022.04.006 · Cited by 228
Self-citationOptimization and Evaluation of a Novel Size Based Circulating Tumor Cell Isolation System
Xu, L., Mao, X., Imrali, A., Syed, F., Mutsvangwa, K., Berney, D. M., Cathcart, P. J., Hines, J. E. W., Shamash, J., & Lu, Y. (2015) · PLoS ONE · doi:10.1371/journal.pone.0138032 · Cited by 232
Genomic evolution of cancer models: perils and opportunities
Ben‐David, U., Beroukhim, R., & Golub, T. R. (2018) · Nature reviews. Cancer · doi:10.1038/s41568-018-0095-3 · Cited by 234
Metadata
- Authors
- Gao, D., Vela, I., Sboner, A., Iaquinta, P. J., Karthaus, W. R., Gopalan, A., Dowling, C., Wanjala, J. N., Undvall, E. A., Arora, V. K., Wongvipat, J., Kossai, M., Ramazanoglu, S., Barboza, L. P., Di, W., Cao, Z., Zhang, Q. F., Sirota, I., Ran, L., MacDonald, T. Y., Beltran, H., Mosquera, J.-M., Touijer, K. A., Scardino, P. T., Laudone, V. P., Curtis, K. R., Rathkopf, D. E., Morris, M. J., Danila, D. C., Slovin, S. F., Solomon, S. B., Eastham, J. A., Chi, P., Carver, B., Rubin, M. A., Scher, H. I., Clevers, H., Sawyers, C. L., & Chen, Y.
- Affiliations
- Memorial Sloan Kettering Cancer Center (US)
- NewYork–Presbyterian Hospital (US)
- Royal Netherlands Academy of Arts and Sciences (NL)
- Corresponding author
- Sawyers, Charles L.
- Chen, Yu
- ORCID
- Gao, Dong
- Vela, Ian
- Sboner, Andrea
- Karthaus, Wouter R.
- Gopalan, Anuradha
- Dowling, Catherine
- Arora, Vivek K.
- Di, Wei
- Cao, Zhen
- Sirota, Inna
- Ran, Leili
- Beltran, Himisha
- Scardino, Peter T.
- Laudone, Vincent P.
- Rathkopf, Dana E.
- Morris, Michael J.
- Danila, Daniel C.
- Slovin, Susan F.
- Solomon, Stephen B.
- Chi, Ping
- Carver, Brett
- Rubin, Mark A.
- Scher, Howard I.
- Clevers, Hans
- Sawyers, Charles L.
- Chen, Yu
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2014-09
- Volume
- 159
- Issue
- 1
- Pages
- 176-187
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC4237931
- OpenAlex
- W2059586354
- Cited by
- 1,559
- References
- 50
- Citations by year
- 2026: 110 · 2025: 117 · 2024: 138 · 2023: 145 · 2022: 155 · 2021: 172 · 2020: 180 · 2019: 131 · 2018: 131 · 2017: 120 · 2016: 87 · 2015: 67 · 2014: 5
- FWCI
- 73.95
- 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)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- NSUWorks (Nova Southeastern University) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences) (submittedVersion)
- Funders
- U.S. Department of Defense (W81XWH, W81XWH1010197)
- American Association for Cancer Research (SU2C-AACR-DT0712)
- Prostate Cancer Foundation (SU2C-AACR-DT0712)
- Memorial Sloan-Kettering Cancer Center (P50CA092629)
- Movember Foundation
- National Institutes of Health (W81XWH, UL1TR000457)
- Stand Up To Cancer (SU2C-AACR-DT0712)
- National Cancer Institute (R01CA182503, K08CA151660, R01CA116337, CA155169-01A1, K08CA140946, R01CA155169, P30CA008748, P50CA092629, R01CA193837)
- National Center for Advancing Translational Sciences
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Prostate Cancer Treatment and Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Keywords
- prostate cancer, organoids, circulating tumor cells, 3D organoid culture, TMPRSS2-ERG fusion, SPOP mutations, FOXA1, PIK3R1, DNA repair mutations, p53 deficiency, mutational burden, advanced prostate cancer
- MeSH terms
- Humans, Male, Neoplasm Metastasis, Organoids, Pharmacology, Prostatic Neoplasms, Tumor Suppressor Proteins, Culture Techniques, Heterografts
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.
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