Patient-derived xenografts undergo mouse-specific tumor evolution
Open accessPublished version of a preprint
Abstract
Patient-derived xenografts (PDXs) have become a prominent cancer model system, as they are presumed to faithfully represent the genomic features of primary tumors. Here we monitored the dynamics of copy number alterations (CNAs) in 1,110 PDX samples across 24 cancer types. We observed rapid accumulation of CNAs during PDX passaging, often due to selection of preexisting minor clones. CNA acquisition in PDXs was correlated with the tissue-specific levels of aneuploidy and genetic heterogeneity observed in primary tumors. However, the particular CNAs acquired during PDX passaging differed from those acquired during tumor evolution in patients. Several CNAs recurrently observed in primary tumors gradually disappeared in PDXs, indicating that events undergoing positive selection in humans can become dispensable during propagation in mice. Notably, the genomic stability of PDXs was associated with their response to chemotherapy and targeted drugs. These findings have major implications for PDX-based modeling of human cancer.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Long-term passage of PDXs in mice can alter tumour behaviour, but strategic use of low-passage lines curbs this mouse-specific drift and remains useful for osteosarcoma biology, precision medicine, and preclinical testing.
“Although prolonged passage in mice can alter the behaviour of tumours maintained as PDXs 227 , strategic use of low-passage PDX lines limits this mouse-specific evolution and is a useful tool in the study of osteosarcoma biology 228 , precision medicine approaches and preclinical validation of therapeutic candidates.”
From Osteosarcoma (2022) · cites this paper as [227]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458 · see citing works
The Molecular Signatures Database Hallmark Gene Set Collection
Liberzon, A., Birger, C., Thorvaldsdóttir, H., Ghandi, M., Mesirov, J. P., & Tamayo, P. (2015) · Cell Systems · doi:10.1016/j.cels.2015.12.004 · Cited by 13,807 · see citing works
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 · see citing works
Self-citationSingle-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
Patel, A. P., Tirosh, I., Trombetta, J. J., Shalek, A. K., Gillespie, S. M., Wakimoto, H., Cahill, D. P., Nahed, B. V., Curry, W. T., Martuza, R. L., et al. (2014) · Science · doi:10.1126/science.1254257 · Cited by 5,063 · see citing works
Defining a Cancer Dependency Map
Tsherniak, A., Vazquez, F., Montgomery, P. G., Weir, B. A., Kryukov, G., Cowley, G. S., Gill, S., Harrington, W. F., Pantel, S., Krill-Burger, J. M., et al. (2017) · Cell · doi:10.1016/j.cell.2017.06.010 · Cited by 3,276 · see citing works
Self-citationBen‐Porath, I., Thomson, M., Carey, V. J., Ge, R., Bell, G. W., Regev, A., & Weinberg, R. A. (2008) · Nature Genetics · doi:10.1038/ng.127 · Cited by 2,523 · see citing works
Systematic identification of genomic markers of drug sensitivity in cancer cells
Garnett, M. J., Edelman, E. J., Heidorn, S. J., Greenman, C. D., Dastur, A., Lau, K. W., Greninger, P., Thompson, I. R., Luo, X., Soares, J., et al. (2012) · Nature · doi:10.1038/nature11005 · Cited by 2,456 · see citing works
Absolute quantification of somatic DNA alterations in human cancer
Carter, S., Cibulskis, K., Helman, E., McKenna, A., Shen, H., Zack, T., Laird, P., Onofrio, R., Winckler, W., Weir, B., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2203 · Cited by 1,975 · see citing works
Self-citationPan-cancer patterns of somatic copy number alteration
Zack, T. I., Schumacher, S. E., Carter, S. L., Cherniack, A. D., Saksena, G., Tabak, B., Lawrence, M. S., Zhang, C., Wala, J. A., Mermel, C. H., et al. (2013) · Nature Genetics · doi:10.1038/ng.2760 · Cited by 1,843 · see citing works
Self-citationPatient-Derived Xenograft Models: An Emerging Platform for Translational Cancer Research
Hidalgo, M. M., Amant, F. C., Biankin, A. V., Budínská, E., Byrne, A. T., Caldas, C., Clarke, R. B., de Jong, S., Jonkers, J., Mælandsmo, G. M., et al. (2014) · Cancer Discovery · doi:10.1158/2159-8290.cd-14-0001 · Cited by 1,759 · see citing works
Gao, H., Korn, J. M., Ferretti, S., Monahan, J. E., Wang, Y., Singh, M., Zhang, C., Schnell, C., Yang, G., Zhang, Y., et al. (2015) · Nature Medicine · doi:10.1038/nm.3954 · Cited by 1,393 · see citing works
Patient-derived tumour xenografts as models for oncology drug development
Tentler, J. J., Tan, A. C., Weekes, C. D., Jimeno, A., Leong, S., Pitts, T. M., Arcaroli, J. J., Messersmith, W. A., & Eckhardt, S. G. (2012) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2012.61 · Cited by 1,277 · see citing works
Carter, S. L., Eklund, A. C., Kohane, I. S., Harris, L. N., & Szállási, Z. (2006) · Nature Genetics · doi:10.1038/ng1861 · Cited by 1,199 · see citing works
Brastianos, P. K., Carter, S. L., Santagata, S., Cahill, D. P., Taylor-Weiner, A. N., Jones, R. T., Allen, E. M. V., Lawrence, M. S., Horowitz, P. M., Cibulskis, K., et al. (2015) · Cancer Discovery · doi:10.1158/2159-8290.cd-15-0369 · Cited by 1,084 · see citing works
Self-citationDeRose, Y. S., Wang, G., Lin, Y.-C., Bernard, P. S., Buys, S. S., Ebbert, M., Factor, R. E., Matsen, C. B., Milash, B. A., Nelson, E. W., et al. (2011) · Nature Medicine · doi:10.1038/nm.2454 · Cited by 1,006 · see citing works
Correlating chemical sensitivity and basal gene expression reveals mechanism of action
Rees, M. G., Seashore-Ludlow, B. A., Cheah, J. H., Adams, D., Price, E. V., Gill, S., Javaid, S., Coletti, M. E., Jones, V., Bodycombe, N. E., et al. (2015) · Nature Chemical Biology · doi:10.1038/nchembio.1986 · Cited by 874 · see citing works
Pan-cancer analysis of the extent and consequences of intratumor heterogeneity
Andor, N., Graham, T. A., Jansen, M., Xia, L. C., Aktipis, A., Petritsch, C. K., Ji, H. P., & Maley, C. C. (2015) · Nature Medicine · doi:10.1038/nm.3984 · Cited by 772 · see citing works
Patient-Derived Tumor Xenografts: Transforming Clinical Samples into Mouse Models
Siolas, D., & Hannon, G. J. (2013) · Cancer Research · doi:10.1158/0008-5472.can-13-1069 · Cited by 672 · see citing works
Copy number analysis indicates monoclonal origin of lethal metastatic prostate cancer
Liu, W., Laitinen, S., Khan, S., Vihinen, M., Kowalski, J., Yu, G., Chen, L., Ewing, C. M., Eisenberger, M. A., Carducci, M. A., et al. (2009) · Nature Medicine · doi:10.1038/nm.1944 · Cited by 655 · see citing works
The Clinical Relevance of Cancer Cell Lines
Gillet, J.-P., Varma, S., & Gottesman, M. M. (2013) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djt007 · Cited by 601 · see citing works
Dynamics of genomic clones in breast cancer patient xenografts at single-cell resolution
Eirew, P. D., Steif, A., Khattra, J. S., Ha, G., Yap, D., Farahani, H., Gelmon, K. A., Chia, S., Mar, C., Wan, A. N. C., et al. (2014) · Nature · doi:10.1038/nature13952 · Cited by 585 · see citing works
Self-citationZhang, X., Claerhout, S., Prat, A., Dobrolecki, L. E., Petrovic, I., Lai, Q., Landis, M. D., Wiechmann, L., Schiff, R., Giuliano, M., et al. (2013) · Cancer Research · doi:10.1158/0008-5472.can-12-4081 · Cited by 483 · see citing works
Daniel, V. C., Marchionni, L., Hierman, J. S., Rhodes, J. T., Devereux, W. L., Rudin, C. M., Yung, R., Parmigiani, G., Dorsch, M., Peacock, C. D., et al. (2009) · Cancer Research · doi:10.1158/0008-5472.can-08-4210 · Cited by 469 · see citing works
Günther, H. S., Schmidt, N. O., PHILLIPS, H. S., Kemming, D., Kharbanda, S., Soriano, R. H., Modrusan, Z. D., Meissner, H., Westphal, M., & Lamszus, K. (2007) · Oncogene · doi:10.1038/sj.onc.1210949 · Cited by 443 · see citing works
Bruna, A., Rueda, O. M., Greenwood, W., Batra, A. S., Callari, M., Batra, R. N., McNamara, K. L., Sandoval, J. L., Cassidy, J. W., Vidaković, A. T., et al. (2016) · Cell · doi:10.1016/j.cell.2016.08.041 · Cited by 432 · see citing works
Zasadil, L. M., Andersen, K. A., Yeum, D., Rocque, G. B., Wilke, L. G., Tevaarwerk, A. J., Raines, R. T., Burkard, M. E., & Weaver, B. A. A. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3007965 · Cited by 403 · see citing works
Lin, D., Wyatt, A. W., Xue, H., Wang, Y., Dong, X., Haegert, A. M., Wu, R., Brahmbhatt, S., Mo, F., Jong, L., et al. (2013) · Cancer Research · doi:10.1158/0008-5472.can-13-2921-t · Cited by 364 · see citing works
Paradoxical Relationship between Chromosomal Instability and Survival Outcome in Cancer
Birkbak, N. J., Eklund, A. C., Li, Q., McClelland, S. E., Endesfelder, D., Tan, P. B. O., Tan, I. B., Richardson, A. L., Szállási, Z., & Swanton, C. (2011) · Cancer Research · doi:10.1158/0008-5472.can-10-3667 · Cited by 349 · see citing works
Gene expression analysis identifies global gene dosage sensitivity in cancer
Fehrmann, R. S. N., Karjalainen, J. M., Krajewska, M., Westra, H.-J., Maloney, D., Simeonov, A., Pers, T. H., Hirschhorn, J. N., Jansen, R. C., Schultes, E. A., et al. (2015) · Nature Genetics · doi:10.1038/ng.3173 · Cited by 347 · see citing works
Integrated genomic characterization of IDH1-mutant glioma malignant progression
Bai, H., Harmancı, A. S., Erson-Omay, Z., Li, J., Coşkun, S., Simon, M., Krischek, B., Özduman, K., Omay, S. B., Sorensen, E. A., et al. (2015) · Nature Genetics · doi:10.1038/ng.3457 · Cited by 324 · see citing works
Elevating the frequency of chromosome mis-segregation as a strategy to kill tumor cells
Janssen, A., Kops, G. J. P. L., & Medema, R. H. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0904343106 · Cited by 317 · see citing works
Mroz, E. A., Tward, A. D., Hammon, R. J., Ren, Y., & Rocco, J. W. (2015) · PLoS Medicine · doi:10.1371/journal.pmed.1001786 · Cited by 291 · see citing works
Karyotypic complexity of the NCI-60 drug-screening panel.
Roschke, A. V., Tonon, G., Gehlhaus, K., Mctyre, N., Bussey, K. J., Lababidi, S., Scudiero, D. A., Weinstein, J. N., & Kirsch, I. R. (2003) · PubMed · Cited by 289 · see citing works
Chromosome missegregation rate predicts whether aneuploidy will promote or suppress tumors
Silk, A. D., Zasadil, L. M., Holland, A., Vitre, B., Cleveland, D., & Weaver, B. A. (2013) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1317042110 · Cited by 256 · see citing works
Single-cell sequencing reveals karyotype heterogeneity in murine and human malignancies
Bakker, B., Taudt, A., Belderbos, M. E., Porubskỳ, D., Spierings, D. C. J., de Jong, T. V., Halsema, N., Kazemier, H. G., Hoekstra-Wakker, K., Bradley, A., et al. (2016) · Genome biology · doi:10.1186/s13059-016-0971-7 · Cited by 248 · see citing works
Ma, C. X., Cai, S., Li, S., Ryan, C. E., Guo, Z., Schaiff, W. T., Li, L., Hoog, J., Goiffon, R., Prat, A., et al. (2012) · Journal of Clinical Investigation · doi:10.1172/jci58765 · Cited by 224 · see citing works
Genomic landscape of high-grade meningiomas
Bi, W. L., Greenwald, N. F., Abedalthagafi, M., Wala, J. A., Gibson, W. J., Agarwalla, P. K., Horowitz, P. M., Schumacher, S. E., Esaulova, E., Mei, Y., et al. (2017) · npj Genomic Medicine · doi:10.1038/s41525-017-0014-7 · Cited by 220 · see citing works
Self-citationGibson, W. J., Høivik, E. A., Halle, M. K., Taylor-Weiner, A. N., Cherniack, A. D., Berg, A., Holst, F., Zack, T. I., Werner, H. M. J., Staby, K. M., et al. (2016) · Nature Genetics · doi:10.1038/ng.3602 · Cited by 208 · see citing works
Self-citationClappier, E., Gerby, B., Sigaux, F., Delord, M., Touzri, F., Hernandez, L., Ballerini, P. F., Baruchel, A., Pflumio, F., & Soulier, J. (2011) · The Journal of Experimental Medicine · doi:10.1084/jem.20110105 · Cited by 203 · see citing works
Genetic landscape of metastatic and recurrent head and neck squamous cell carcinoma
Hedberg, M. L., Goh, G., Chiosea, S. I., Bauman, J. E., Freilino, M. L., Zeng, Y., Wang, L., Diergaarde, B. B., Gooding, W. E., Lui, V. W. Y., et al. (2015) · Journal of Clinical Investigation · doi:10.1172/jci82066 · Cited by 203 · see citing works
Tempest, H. G., Ko, E., Chan, P. T. K., et al. (2007) · Human Reproduction · doi:10.1093/humrep/dem389 · Cited by 198 · see citing works
Sensitization of BCL-2–expressing breast tumors to chemotherapy by the BH3 mimetic ABT-737
Oakes, S. R., Vaillant, F., Lim, E., Lee, L., Breslin, K. A., Feleppa, F., Deb, S., Ritchie, M. E., Takano, E. A., Ward, T. A., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1104778108 · Cited by 194 · see citing works
Zhang, W., Mao, J., Zhu, W., Jain, A. K., Liu, K., Brown, J. B., & Karpen, G. H. (2016) · Nature Communications · doi:10.1038/ncomms12619 · Cited by 192 · see citing works
Loss of Chromosome 8p Governs Tumor Progression and Drug Response by Altering Lipid Metabolism
Cai, Y., Crowther, J., Pastor, T., Asbagh, L. A., Baietti, M. F., Troyer, M. D., Vázquez, I., Talebi, A., Renzi, F., Dehairs, J., et al. (2016) · Cancer Cell · doi:10.1016/j.ccell.2016.04.003 · Cited by 191 · see citing works
Ben-David, U., Arad, G., Weissbein, U., Mandefro, B., Maimon, A., Golan-lev, T., Narwani, K., Clark, A., Andrews, P., Benvenisty, N., et al. (2014) · Nature Communications · doi:10.1038/ncomms5825 · Cited by 189 · see citing works
Self-citationZhang, X., Coleman, I. M., Brown, L. G., True, L. D., Kollath, L. A., Lucas, J. M., Lam, H., Dumpit, R. F., Corey, E., Chery, L. J., et al. (2015) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-0157 · Cited by 176 · see citing works
Kim, T., Jung, S., An, C. H., Lee, S. H., Baek, I.-P., Kim, M. S., Park, S., Rhee, J., Lee, S.-H., & Chung, Y. (2015) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-14-2413 · Cited by 161 · see citing works
Hodgson, J., Yeh, R.-F., Ray, A., Wang, N. J., Smirnov, I. V., Yu, M., Hariono, S., Silber, J., Feiler, H. S., Gray, J. W., et al. (2009) · Neuro-Oncology · doi:10.1215/15228517-2008-113 · Cited by 147 · see citing works
Targeting the Adaptability of Heterogeneous Aneuploids
Chen, G., Mulla, W. A., Kucharavy, A., Tsai, H.-J., RUBINSTEIN, B. Y., Conkright, J. J., McCroskey, S., Bradford, W. D., Weems, L., Haug, J. S., et al. (2015) · Cell · doi:10.1016/j.cell.2015.01.026 · Cited by 130 · see citing works
Schulte, A., Günther, H. S., PHILLIPS, H. S., Kemming, D., Martens, T., Kharbanda, S., Soriano, R. H., Modrusan, Z. D., Zapf, S., Westphal, M., et al. (2011) · Glia · doi:10.1002/glia.21127 · Cited by 118 · see citing works
Comparative Genomic Analysis of Primary and Synchronous Metastatic Colorectal Cancers
Lee, S. Y., Haq, F. U., Kim, D., Jun, C., Jo, H.-J., Ahn, S., & Lee, W. (2014) · PLoS ONE · doi:10.1371/journal.pone.0090459 · Cited by 117 · see citing works
Gu, Q., Zhang, B., Sun, H., Xu, Q., Tan, Y., Wang, G., Luo, Q., Xu, W., Yang, S., Li, J., et al. (2015) · Oncotarget · doi:10.18632/oncotarget.3969 · Cited by 80 · see citing works
Peng, S., Creighton, C. J., Zhang, Y., Sen, B., Mazumdar, T., Myers, J. N., Woolfson, A., Lorenzi, M. V., Bell, D., Williams, M. D., et al. (2013) · Journal of Translational Medicine · doi:10.1186/1479-5876-11-198 · Cited by 77 · see citing works
Bevacizumab and rapamycin induce growth suppression in mouse models of hepatocellular carcinoma
Huynh, H. T., Chow, P. K. H., Palanisamy, N., Salto‐Tellez, M., Goh, B. C., Lee, C. K., Anaji, S., Lee, H. S., Kalpana, R., Yu, K., et al. (2008) · Journal of Hepatology · doi:10.1016/j.jhep.2008.02.022 · Cited by 74 · see citing works
Genetic landscape of metastatic and recurrent head and neck squamous cell carcinoma
Hedberg, M. L., Goh, G., Chiosea, S. I., et al. (2016) · Journal of Clinical Investigation · doi:10.1172/jci86862 · Cited by 73 · see citing works
Sveen, A., Løes, I. M., Alagaratnam, S., Nilsen, G., Høland, M., Lingjærde, O. C., Sørbye, H., Berg, K. C. G., Horn, A., Angelsen, J., et al. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1006225 · Cited by 70 · see citing works
Morisot, S., Wayne, A., Bohana‐Kashtan, O., Kaplan, I., Gocke, C., Hildreth, R., Stetler-Stevenson, M., Walker, R., Davis, S., Meltzer, P., et al. (2010) · Leukemia · doi:10.1038/leu.2010.184 · Cited by 61 · see citing works
Virtual karyotyping of pluripotent stem cells on the basis of their global gene expression profiles
Ben‐David, U., Mayshar, Y., & Benvenisty, N. (2013) · Nature Protocols · doi:10.1038/nprot.2013.051 · Cited by 50 · see citing works
Self-citationLim, B., Mun, J., Kim, J., Kim, C. W., Roh, S. A., Cho, D., Kim, S., Kim, S., & Kim, J. C. (2015) · Oncotarget · doi:10.18632/oncotarget.4246 · Cited by 48 · see citing works
Targeting chromosomal instability and tumour heterogeneity in HER2‐positive breast cancer
Burrell, R. A., Birkbak, N. J., Johnston, S. R. D., Reis-Filho, J. S., Szállási, Z., & Swanton, C. (2010) · Journal of Cellular Biochemistry · doi:10.1002/jcb.22781 · Cited by 48 · see citing works
Ben‐David, U., Ha, G., Khadka, P., Jin, X., Wong, B., Franke, L., & Golub, T. R. (2016) · Nature Communications · doi:10.1038/ncomms12160 · Cited by 48 · see citing works
Self-citationPatient-derived bladder cancer xenografts in the preclinical development of novel targeted therapies
Jäger, W., Xue, H., Hayashi, T., et al. (2015) · Oncotarget · doi:10.18632/oncotarget.3974 · Cited by 45 · see citing works
Preclinical xenograft models of human sarcoma show nonrandom loss of aberrations
Kresse, S. H., Meza‐Zepeda, L. A., Machado, I., et al. (2011) · Cancer · doi:10.1002/cncr.26276 · Cited by 44 · see citing works
Hollingshead, M. G., Stockwin, L. H., Alcoser, S. Y., Newton, D. L., Orsburn, B. C., Bonomi, C. A., Borgel, S. D., Divelbiss, R. D., Dougherty, K., Hager, E. J., et al. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-393 · Cited by 40 · see citing works
Chou, J., Fitzgibbon, M., Mortales, C., Towlerton, A. M. H., Upton, M. P., Yeung, R. S. W., McIntosh, M. W., & Warren, E. H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0079874 · Cited by 39 · see citing works
Smith, K. B., Tran, L. M., Tam, B., et al. (2013) · American Journal Of Pathology · doi:10.1016/j.ajpath.2013.01.002 · Cited by 34 · see citing works
Cifola, I., Bianchi, C., Mangano, E., et al. (2011) · BMC Cancer · doi:10.1186/1471-2407-11-244 · Cited by 27 · see citing works
Wong, N. C., Bhadri, V. A., Maksimovic, J., Parkinson-Bates, M., Ng, J., Craig, J. M., Saffery, R., & Lock, R. B. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-416 · Cited by 26 · see citing works
Monsma, D. J., Cherba, D., Richardson, P. J., Vance, S. M., Rangarajan, S. V., Dylewski, D., Eugster, E., Scott, S. B., Beuschel, N. L., Davidson, P. J., et al. (2014) · Pediatric Blood & Cancer · doi:10.1002/pbc.25039 · Cited by 23 · see citing works
Um, S., Joung, J., Lee, H. J., Kim, H., Kim, K.-T., Park, J., Hayes, D. N., & Park, W. (2016) · Cancer Research · doi:10.1158/0008-5472.can-16-0873 · Cited by 21 · see citing works
Larson, J. L., & Owen, A. B. (2015) · BMC Bioinformatics · doi:10.1186/s12859-015-0571-7 · Cited by 16 · see citing works
Analysis of genotoxic damage induced by dacarbazine: an in vitro study
Khan, F., Sherwani, A. F., & Afzal, M. (2010) · Toxin Reviews · doi:10.3109/15569543.2010.516463 · Cited by 7 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Drost, J., & Clevers, H. (2018) · Nature Reviews Cancer · doi:10.1038/s41568-018-0007-6 · Cited by 1,790 · see citing works
Advances 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 · see citing works
Genetic and transcriptional evolution alters cancer cell line drug response
Ben-David, U., Siranosian, B., Ha, G., Tang, H., Oren, Y., Hinohara, K., Strathdee, C. A., Dempster, J., Lyons, N. J., Burns, R., et al. (2018) · Nature · doi:10.1038/s41586-018-0409-3 · Cited by 931 · see citing works
Self-citationAn 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 · see citing works
Beird, H. C., Bielack, S. S., Flanagan, A. M., Gill, J., Heymann, D., Janeway, K. A., Livingston, J. A., Roberts, R. D., Strauss, S. J., & Gorlick, R. (2022) · Nature Reviews Disease Primers · doi:10.1038/s41572-022-00409-y · Cited by 660 · see citing works
Guillen, K. P., Fujita, M., Butterfield, A. J., Scherer, S. D., Bailey, M. H., Chu, Z., DeRose, Y. S., Zhao, L., Cortes-Sanchez, E., Yang, C.-H., et al. (2022) · Nature Cancer · doi:10.1038/s43018-022-00337-6 · Cited by 416 · see citing works
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 · see citing works
Building Models of Brain Disorders with Three-Dimensional Organoids
Amin, N. D., & Paşca, S. P. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.007 · Cited by 312 · see citing works
Phan, N., Hong, J. J., Tofig, B., Mapua, M., Elashoff, D., Moatamed, N. A., Huang, J., Memarzadeh, S., Damoiseaux, R., & Soragni, A. (2019) · Communications Biology · doi:10.1038/s42003-019-0305-x · Cited by 269 · see citing works
Vaubel, R. A., Tian, S., Remonde, D., Schroeder, M. A., Mladek, A. C., Kitange, G. J., Caron, A., Kollmeyer, T. M., Grove, R., Peng, S., et al. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-19-0909 · Cited by 227 · see citing works
Organ-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 · see citing works
PDXNET Consortium, Woo, X. Y., EurOPDX Consortium, Giordano, J., Srivastava, A., Zhao, Z.-M., Lloyd, M. W., de Bruijn, R., Suh, Y.-S., Patidar, R., et al. (2021) · Nature Genetics · doi:10.1038/s41588-020-00750-6 · Cited by 190 · see citing works
The Many Facets of Therapy Resistance and Tumor Recurrence in Glioblastoma
Goenka, A., Tiek, D., Song, X., Huang, T., Hu, B., & Cheng, S.-Y. (2021) · Cells · doi:10.3390/cells10030484 · Cited by 169 · see citing works
Applications of tumor chip technology
Hachey, S. J., & Hughes, C. C. W. (2018) · Lab on a Chip · doi:10.1039/c8lc00330k · Cited by 128 · see citing works
Harnessing the predictive power of preclinical models for oncology drug development
Honkala, A., Malhotra, S. V., Kummar, S., & Junttila, M. R. (2022) · Nature Reviews Drug Discovery · doi:10.1038/s41573-021-00301-6 · Cited by 121 · see citing works
Yu, L., Li, Z., Mei, H., Li, W., Chen, D., Liu, L., Zhang, Z., Sun, Y., Song, F., Chen, W., et al. (2021) · Clinical & Translational Immunology · doi:10.1002/cti2.1248 · Cited by 113 · see citing works
Karamboulas, C., Bruce, J. P., Hope, A. J., Meens, J., Huang, S. H., Erdmann, N., Hyatt, E., Pereira, K., Goldstein, D. P., Weinreb, I., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.10.004 · Cited by 94 · see citing works
Garcia, P. L., Miller, A. L., & Yoon, K. J. (2020) · Cancers · doi:10.3390/cancers12051327 · Cited by 77 · see citing works
Mundi, P. S., Dela Cruz, F. S., Grunn, A., Diolaiti, D., Mauguen, A., Rainey, A. R., Guillan, K. C., Siddiquee, A., You, D., Realubit, R., et al. (2021) · doi:10.1101/2021.10.03.462951 · Cited by 51 · see citing works
Patient-derived tumor models: a more suitable tool for pre-clinical studies in colorectal cancer
Rizzo, G., Bertotti, A., Leto, S. M., & Vetrano, S. (2021) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-021-01970-2 · Cited by 51 · see citing works
Patient Derived Xenografts for Genome-Driven Therapy of Osteosarcoma
Landuzzi, L., Manara, M. C., Lollini, P.-L., & Scotlandi, K. (2021) · Cells · doi:10.3390/cells10020416 · Cited by 39 · see citing works
Rajan, S., Zaccaria, S., Cannon, M. V., Cam, M., Gross, A. C., Raphael, B. J., & Roberts, R. D. (2021) · doi:10.1101/2021.08.30.458268 · Cited by 33 · see citing works
- Authors
- Ben-David, U., Ha, G., Tseng, Y.-Y., Greenwald, N. F., Oh, C., Shih, J., McFarland, J. M., Wong, B., Boehm, J. S., Beroukhim, R., & Golub, T. R.
- Affiliations
- Broad Institute (US)
- Corresponding author
- Beroukhim, Rameen
- Golub, Todd R
- ORCID
- Venue
- Nature Genetics
- Published
- 2017-10-09
- Volume
- 49
- Issue
- 11
- Pages
- 1567-1575
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC5659952
- OpenAlex
- W2737053924
- Cited by
- 716
- References
- 72
- Citations by year
- 2026: 40 · 2025: 63 · 2024: 67 · 2023: 74 · 2022: 83 · 2021: 106 · 2020: 103 · 2019: 83 · 2018: 90 · 2017: 6 · 2014: 1
- FWCI
- 25.85
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Nature Genetics (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Funders
- National Cancer Institute (R01CA188228)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Keywords
- patient-derived xenografts, copy number alterations, tumor evolution, aneuploidy, genetic heterogeneity, clonal selection, genome stability, chemotherapy response, targeted therapy response, tumor models
- MeSH terms
- Aneuploidy, Animals, Antineoplastic Agents, Clone Cells, Disease Models, Animal, DNA, Neoplasm, Humans, Neoplasms, Selection, Genetic, Species Specificity, Tumor Cells, Cultured, Mice, DNA Copy Number Variations, Clonal Evolution, 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.
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