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Organoid Profiling Identifies Common Responders to Chemotherapy in Pancreatic Cancer
Open accessPublished version of a preprint
Abstract
Pancreatic cancer is the most lethal common solid malignancy. Systemic therapies are often ineffective, and predictive biomarkers to guide treatment are urgently needed. We generated a pancreatic cancer patient–derived organoid (PDO) library that recapitulates the mutational spectrum and transcriptional subtypes of primary pancreatic cancer. New driver oncogenes were nominated and transcriptomic analyses revealed unique clusters. PDOs exhibited heterogeneous responses to standard-of-care chemotherapeutics and investigational agents. In a case study manner, we found that PDO therapeutic profiles paralleled patient outcomes and that PDOs enabled longitudinal assessment of chemosensitivity and evaluation of synchronous metastases. We derived organoid-based gene expression signatures of chemosensitivity that predicted improved responses for many patients to chemotherapy in both the adjuvant and advanced disease settings. Finally, we nominated alternative treatment strategies for chemorefractory PDOs using targeted agent therapeutic profiling. We propose that combined molecular and therapeutic profiling of PDOs may predict clinical response and enable prospective therapeutic selection. Significance: New approaches to prioritize treatment strategies are urgently needed to improve survival and quality of life for patients with pancreatic cancer. Combined genomic, transcriptomic, and therapeutic profiling of PDOs can identify molecular and functional subtypes of pancreatic cancer, predict therapeutic responses, and facilitate precision medicine for patients with pancreatic cancer. Cancer Discov; 8(9); 1112–29. ©2018 AACR. See related commentary by Collisson, p. 1062. This article is highlighted in the In This Issue feature, p. 1047
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“114 PDO cultures from 101 patients were generated127 and subjected to transcriptomic profiling, followed by therapeutic profiling”
From Human disease models in drug development (2023) · cites this paper as [127]
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“The treatment outcome of the PDOs positively correlated with individual patient responses”
From Human disease models in drug development (2023) · cites this paper as [127]
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“patient-derived tumoroid models also show promise in testing drug efficacy and potentially determining a personalized treatment for the patient7–12.”
From One-step generation of tumor models by base editor multiplexing in adult stem cell-derived organoids (2023) · cites this paper as [10]
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“This heterogeneity in treatment responses is now being exploited for the treatment of cystic fibrosis patients191, with a large ongoing European multicentre clinical trial study, led by the HIT-Cystic Fibrosis consortium, to identify potential responders214.”
From Organoids (2022) · cites this paper as [214]
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“Recently, normal and tumor organoid models have been developed from both human and mouse pancreas (82, 83).”
From KRAS mutation in pancreatic cancer (2021) · cites this paper as [83]
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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 [40]
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Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
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
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548
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
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
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
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
Li, B., & Dewey, C. N. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-323 · Cited by 22,179
Complex heatmaps reveal patterns and correlations in multidimensional genomic data
Gu, Z., Eils, R., & Schlesner, M. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw313 · Cited by 10,037
FOLFIRINOX versus Gemcitabine for Metastatic Pancreatic Cancer
Conroy, T., Desseigne, F., Ychou, M., Bouché, O., Guimbaud, R., Bécouarn, Y., Adenis, A., Raoul, J.-L., Gourgou-Bourgade, S., de la Fouchardière, C., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1011923 · Cited by 7,810
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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
Pancreatic cancer stroma: an update on therapeutic targeting strategies
Hosein, A. N., Brekken, R. A., & Maitra, A. (2020) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-020-0300-1 · Cited by 950
Optimizing the outcomes of pancreatic cancer surgery
Strobel, O., Neoptolemos, J., Jäger, D., & Büchler, M. W. (2019) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-018-0112-1 · Cited by 943
Cancer modeling meets human organoid technology
Tuveson, D., & Clevers, H. (2019) · Science · doi:10.1126/science.aaw6985 · Cited by 935
Self-citationOoft, S. N., Weeber, F., Dijkstra, K. K., McLean, C. M., Kaing, S., van Werkhoven, E., Schipper, L., Hoes, L., Vis, D. J., van de Haar, J., et al. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aay2574 · Cited by 813
Self-citationPatient-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
Self-citationCombination of ERK and autophagy inhibition as a treatment approach for pancreatic cancer
Bryant, K. L., Stalnecker, C. A., Zeitouni, D., Klomp, J. E., Peng, S., Tikunov, A. P., Gunda, V., Pierobon, M., Waters, A. M., George, S. D., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0368-8 · Cited by 692
Transcription phenotypes of pancreatic cancer are driven by genomic events during tumor evolution
Chan-Seng-Yue, M., Kim, J. C., Wilson, G. W., Ng, K., Figueroa, E. F., O’Kane, G. M., Connor, A. A., Denroche, R. E., Grant, R. C., McLeod, J., et al. (2020) · Nature Genetics · doi:10.1038/s41588-019-0566-9 · Cited by 669
Self-citationEstablishment 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-citationStem 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
Microenvironment drives cell state, plasticity, and drug response in pancreatic cancer
Raghavan, S., Winter, P. S., Navia, A. W., Williams, H. L., DenAdel, A., Lowder, K. E., Galvez-Reyes, J., Kalekar, R. L., Mulugeta, N., Kapner, K. S., et al. (2021) · Cell · doi:10.1016/j.cell.2021.11.017 · Cited by 592
Self-citationHuman 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 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
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
Pancreatic cancer organoids recapitulate disease and allow personalized drug screening
Driehuis, E., van Hoeck, A., Moore, K., Kolders, S., Francies, H. E., Gülersönmez, M. C., Stigter, E. C. A., Burgering, B. M. T., Geurts, V., Gracanin, A., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1911273116 · Cited by 471
Self-citationThe 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
Towards organoid culture without Matrigel
Kozlowski, M. T., Crook, C. J., & Ku, H. T. (2021) · Communications Biology · doi:10.1038/s42003-021-02910-8 · Cited by 409
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
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-citationFrom state-of-the-art treatments to novel therapies for advanced-stage pancreatic cancer
Nevala-Plagemann, C., Hidalgo, M. M., & Garrido‐Laguna, I. (2019) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-019-0281-6 · Cited by 403
Wang, S., Zheng, Y., Yang, F., Zhu, L., Zhu, X.-Q., Wang, Z.-F., Wu, X.-L., Zhou, C.-H., Yan, J.-Y., Hu, B.-Y., et al. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00659-4 · Cited by 369
Phenotypic drug discovery: recent successes, lessons learned and new directions
Vincent, F., Nueda, A., Lee, J. L. C., Schenone, M., Prunotto, M., & Mercola, M. A. (2022) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00472-w · Cited by 397
KRAS mutation in pancreatic cancer
Luo, J. (2021) · Seminars in Oncology · doi:10.1053/j.seminoncol.2021.02.003 · Cited by 360
GATA6 expression distinguishes classical and basal-like subtypes in advanced pancreatic cancer
O’Kane, G. M., Grünwald, B. T., Jang, G.-H., Masoomian, M., Picardo, S., Grant, R. C., Denroche, R. E., Zhang, A., Wang, Y., Miller, J. K., et al. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-19-3724 · Cited by 352
Self-citationSinghi, A. D., George, B., Greenbowe, J. R., Chung, J., Suh, J., Maitra, A., Klempner, S. J., Hendifar, A., Milind, J. M., Golan, T., et al. (2019) · Gastroenterology · doi:10.1053/j.gastro.2019.02.037 · Cited by 348
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
Human disease models in drug development
Loewa, A., Feng, J. J., & Hedtrich, S. (2023) · Nature Reviews Bioengineering · doi:10.1038/s44222-023-00063-3 · Cited by 331
Patient-derived organoids as a predictive biomarker for treatment response in cancer patients
Wensink, G. E., Elias, S. G., Mullenders, J., Koopman, M., Boj, S. F., Kranenburg, O. W., & Roodhart, J. M. L. (2021) · npj Precision Oncology · doi:10.1038/s41698-021-00168-1 · Cited by 323
Sarcoma treatment in the era of molecular medicine
Grünewald, T. G., Alonso, M., Avnet, S., Banito, A., Burdach, S., Cidre‐Aranaz, F., Di Pompo, G., Distel, M., Dorado‐Garcia, H., Garcia‐Castro, J., et al. (2020) · EMBO Molecular Medicine · doi:10.15252/emmm.201911131 · Cited by 319
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
Cancer organoids 2.0: modelling the complexity of the tumour immune microenvironment
Polak, R., Zhang, E., & Kuo, C. J. (2024) · Nature reviews. Cancer · doi:10.1038/s41568-024-00706-6 · Cited by 347
Karamitopoulou, E. (2019) · British Journal of Cancer · doi:10.1038/s41416-019-0479-5 · Cited by 305
de Witte, C. J., Espejo Valle-Inclan, J., Hami, N., Lõhmussaar, K., Kopper, O., Vreuls, C. P. H., Jonges, G. N., van Diest, P., Nguyen, L., Clevers, H., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107762 · Cited by 303
Self-citationThe glycan CA19-9 promotes pancreatitis and pancreatic cancer in mice
Engle, D. D., Tiriac, H., Rivera, K. D., Pommier, A., Whalen, S., Oni, T. E., Alagesan, B., Lee, E. J., Yao, M. A., Lucito, M. S., et al. (2019) · Science · doi:10.1126/science.aaw3145 · Cited by 288
Self-citationInhibition of Hedgehog Signaling Alters Fibroblast Composition in Pancreatic Cancer
Steele, N. G., Biffi, G., Kemp, S. B., Zhang, Y., Drouillard, D., Syu, L.-J., Yuan, H., Oni, T. E., Brosnan, E., Elyada, E., et al. (2021) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-20-3715 · Cited by 289
Self-citationLetai, A. G., Bhola, P. D., & Welm, A. L. (2021) · Cancer Cell · doi:10.1016/j.ccell.2021.12.004 · Cited by 282
Chemotherapy for pancreatic cancer
Springfeld, C., Jäger, D., Büchler, M. W., Strobel, O., Hackert, T., Palmer, D. H., & Neoptolemos, J. P. (2019) · La Presse Médicale · doi:10.1016/j.lpm.2019.02.025 · Cited by 297
Polytherapy and Targeted Cancer Drug Resistance
Chatterjee, N., & Bivona, T. G. (2019) · Trends in cancer · doi:10.1016/j.trecan.2019.02.003 · Cited by 277
Zebrafish patient avatars in cancer biology and precision cancer therapy
Fazio, M., Ablain, J., Yan, C., Langenau, D. M., & Zon, L. I. (2020) · Nature reviews. Cancer · doi:10.1038/s41568-020-0252-3 · Cited by 263
Challenges 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-citationThe Immune Microenvironment in Pancreatic Cancer
Huber, M., Brehm, C. U., Gress, T. M., Buchholz, M., Alhamwe, B. A., von Strandmann, E. P., Slater, E. P., Bartsch, J. W., Bauer, C. A., & Lauth, M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21197307 · Cited by 250
Uncovering the mode of action of engineered T cells in patient cancer organoids
Dekkers, J. F., Alieva, M., Cleven, A., Keramati, F., Wezenaar, A. K. L., van Vliet, E. J., Puschhof, J., Brázda, P., Johanna, I., Meringa, A. D., et al. (2022) · Nature Biotechnology · doi:10.1038/s41587-022-01397-w · Cited by 241
Self-citationAtypical KRASG12R Mutant Is Impaired in PI3K Signaling and Macropinocytosis in Pancreatic Cancer
Hobbs, G. A., Baker, N. M., Miermont, A. M., Thurman, R. D., Pierobon, M., Tran, T. H., Anderson, A. O., Waters, A. M., Diehl, J. N., Papke, B., et al. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-1006 · Cited by 231
Self-citationPatient-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-citationTP63-mediated enhancer reprogramming drives the squamous subtype of pancreatic ductal adenocarcinoma
Somerville, T. D. D., Xu, Y., Miyabayashi, K., Tiriac, H., Cleary, C. R., Maia-Silva, D., Milazzo, J. P., Tuveson, D. A., & Vakoc, C. R. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.10.051 · Cited by 225
Self-citationGenomic 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
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
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
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
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
Self-citationPatient-derived organoids model cervical tissue dynamics and viral oncogenesis in cervical cancer
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Self-citationTumour-selective activity of RAS-GTP inhibition in pancreatic cancer
Wasko, U. N., Jiang, J., Dalton, T. C., Curiel-Garcia, A., Edwards, A. C., Wang, Y., Lee, B., Orlen, M., Tian, S., Stalnecker, C. A., et al. (2024) · Nature · doi:10.1038/s41586-024-07379-z · Cited by 209
Self-citationTreatment landscape of metastatic pancreatic cancer
Dosso, S. D., Siebenhüner, A. R., Winder, T., Meisel, A., Fritsch, R., Astaras, C., Szturz, P., & Borner, M. (2021) · Cancer Treatment Reviews · doi:10.1016/j.ctrv.2021.102180 · Cited by 212
DNA damage repair as a target in pancreatic cancer: state-of-the-art and future perspectives
Perkhofer, L., Gout, J., Roger, É., de Almeida, F. K., Simões, C., Wiesmüller, L., Seufferlein, T. T. W., & Kleger, A. (2020) · Gut · doi:10.1136/gutjnl-2019-319984 · Cited by 207
Bulle, A. S., & Lim, K. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-00341-1 · Cited by 208
Patient‐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
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
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
Organoid 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
Below, C. R., Kelly, J., Brown, A., Humphries, J. D., Hutton, C., Xu, J., Lee, B. Y., Cintas, C., Zhang, X., Hernandez-Gordillo, V., et al. (2022) · Nature Materials · doi:10.1038/s41563-021-01085-1 · Cited by 194
Narasimhan, V., Wright, J. A., Churchill, M., Wang, T., Rosati, R., Lannagan, T. R. M., Vrbanac, L., Richardson, A. B., Kobayashi, H., Price, T. J., et al. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-20-0073 · Cited by 201
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
Zhou, Z., Cong, L., & Cong, X. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.762184 · Cited by 189
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
Mouse models of colorectal cancer: Past, present and future perspectives
Bürtin, F., Mullins, C. S., & Linnebacher, M. (2020) · World Journal of Gastroenterology · doi:10.3748/wjg.v26.i13.1394 · Cited by 183
Somatic 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
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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
Targeting DNA Damage Response and Replication Stress in Pancreatic Cancer
Dreyer, S. B., Upstill‐Goddard, R., Paulus-Hock, V., Paris, C., Lampraki, E.-M., Dray, E. V., Serrels, B., Caligiuri, G., Rebus, S., Plenker, D., et al. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.09.043 · Cited by 165
Self-citationSchuth, S., Blanc, S. L., Krieger, T. G., Jabs, J., Schenk, M., Giese, N. A., Büchler, M. W., Eils, R., Conrad, C., & Strobel, O. (2022) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-022-02519-7 · Cited by 182
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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
Macedo, F. I. B., Ryon, E. L., Maithel, S. K., Lee, R. M., Kooby, D. A., Fields, R. C., Hawkins, W. G., Williams, G., Maduekwe, U. N., Kim, H. J., et al. (2019) · Annals of Surgery · doi:10.1097/sla.0000000000003468 · Cited by 162
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Tebon, P. J., Wang, B., Markowitz, A. L., Davarifar, A., Tsai, B. L., Krawczuk, P., Gonzalez, A. E., Sartini, S., Murray, G. F., Nguyen, H. T. L., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-38832-8 · Cited by 163
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Kim, S.-Y., Kim, S.-M., Lim, S., Lee, J. Y., Choi, S.-J., Yang, S.-D., Yun, M. R., Kim, C. G., Gu, S. R., Park, C., et al. (2021) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-20-5026 · Cited by 151
Hu, H.-F., Ye, Z., Qin, Y., Xu, X.-W., Yu, X.-J., Zhuo, Q.-F., & Ji, S.-R. (2021) · Acta Pharmacologica Sinica · doi:10.1038/s41401-020-00584-2 · Cited by 149
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Pandya, G., Kirtonia, A., Sethi, G., Pandey, A. K., & Garg, M. (2020) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2020.188423 · Cited by 142
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Harane, S. E., Zidi, B., Harane, N. E., Krause, K., Matthes, T., & Preynat‐Seauve, O. (2023) · Cells · doi:10.3390/cells12071001 · Cited by 135
Porter, R. L., Magnus, N. K. C., Thapar, V., Morris, R., Szabolcs, A., Neyaz, A., Kulkarni, A. S., Tai, E., Chougule, A., Hillis, A., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1914915116 · Cited by 129
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Verduin, M., Hoeben, A., Ruysscher, D. D., & Vooijs, M. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.641980 · Cited by 140
Lee, J. J., Bernard, V., Semaan, A., Monberg, M. E., Huang, J., Stephens, B. M., Lin, D., Rajapakshe, K. I., Weston, B. R., Bhutani, M. S., et al. (2021) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-20-3925 · Cited by 128
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Miyabayashi, K., Baker, L. A., Deschênes, A., Traub, B., Caligiuri, G., Plenker, D., Alagesan, B., Belleau, P., Li, S., Kendall, J., et al. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-20-0133 · Cited by 124
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Tang, M., Tiwari, S. K., Agrawal, K., Tan, M. L., Dang, J. W., Tam, T., Tian, J., Wan, X., Schimelman, J. B., You, S., et al. (2021) · Small · doi:10.1002/smll.202006050 · Cited by 126
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Farin, H. F., Mosa, M. H., Ndreshkjana, B., Grebbin, B. M., Ritter, B., Menche, C., Kennel, K. B., Ziegler, P. K., Szabó, L., Bollrath, J., et al. (2023) · Cancer Discovery · doi:10.1158/2159-8290.cd-23-0050 · Cited by 120
Millen, R., de Kort, W. W. B., Koomen, M., van Son, G. J. F., Gobits, R., de Vries, B. B. L. P., Begthel, H., Zandvliet, M. M. J. M., Doornaert, P., Raaijmakers, C. P. J., et al. (2023) · Med · doi:10.1016/j.medj.2023.04.003 · Cited by 130
Self-citationSeppälä, T. T., Zimmerman, J. W., Sereni, E., Plenker, D., Suri, R., Rozich, N., Blair, A. B., Thomas, D. L., Teinor, J. A., Javed, A. A., et al. (2020) · Annals of Surgery · doi:10.1097/sla.0000000000004200 · Cited by 122
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Metadata
- Authors
- Tiriac, H., Belleau, P., Engle, D. D., Plenker, D., Deschênes, A., Somerville, T. D. D., Froeling, F. E. M., Burkhart, R. A., Denroche, R. E., Jang, G.-H., Miyabayashi, K., Young, C. M., Patel, H., Ma, M., LaComb, J. F., Palmaira, R. L. D., Javed, A. A., Huynh, J. C., Johnson, M., Arora, K., Robine, N., Shah, M., Sanghvi, R., Goetz, A. B., Lowder, C. Y., Martello, L., Driehuis, E., LeComte, N., Askan, G., Iacobuzio-Donahue, C. A., Clevers, H., Wood, L. D., Hruban, R. H., Thompson, E., Aguirre, A. J., Wolpin, B. M., Sasson, A., Kim, J., Wu, M., Bucobo, J. C., Allen, P., Sejpal, D. V., Nealon, W., Sullivan, J. D., Winter, J. M., Gimotty, P. A., Grem, J. L., DiMaio, D. J., Buscaglia, J. M., Grandgenett, P. M., Brody, J. R., Hollingsworth, M. A., O'Kane, G. M., Notta, F., Kim, E., Crawford, J. M., Devoe, C., Ocean, A., Wolfgang, C. L., Yu, K. H., Li, E., Vakoc, C. R., Hubert, B., Fischer, S. E., Wilson, J. M., Moffitt, R., Knox, J., Krasnitz, A., Gallinger, S., & Tuveson, D. A.
- Affiliations
- Cold Spring Harbor Laboratory (US)
- Johns Hopkins University (US)
- Ontario Institute for Cancer Research (CA)
- Stony Brook University (US)
- Memorial Sloan Kettering Cancer Center (US)
- UC Davis Comprehensive Cancer Center (US)
- New York Genome Center (US)
- Thomas Jefferson University (US)
- SUNY Downstate Health Sciences University (US)
- Royal Netherlands Academy of Arts and Sciences (NL)
- 6Memorial Sloan Kettering Cancer Center, New York, New York.
- Broad Institute (US)
- Hofstra University (US)
- Donald & Barbara Zucker School of Medicine at Hofstra/Northwell (US)
- University of Pennsylvania (US)
- University of Nebraska Medical Center (US)
- Nebraska Medical Center (US)
- University Health Network (CA)
- Weill Cornell Medicine (US)
- 3PanCuRx Translational Research Initiative, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
- Corresponding author
- Tuveson, David A.
- ORCID
- Tiriac, Hervé
- Engle, Dannielle D.
- Plenker, Dennis
- Deschênes, Astrid
- Somerville, Tim D. D.
- Froeling, Fieke E. M.
- Burkhart, Richard A.
- Denroche, Robert E.
- Jang, Gun-Ho
- Miyabayashi, Koji
- Young, C. Megan
- LaComb, Joseph F.
- Javed, Ammar A.
- Huynh, Jasmine C.
- Johnson, Molly
- Arora, Kanika
- Robine, Nicolas
- Sanghvi, Rashesh
- Lowder, Cinthya Y.
- Martello, Laura
- Driehuis, Else
- LeComte, Nicolas
- Clevers, Hans
- Wood, Laura D.
- Hruban, Ralph H.
- Aguirre, Andrew J.
- Wolpin, Brian M.
- Kim, Joseph
- Wu, Maoxin
- Bucobo, Juan Carlos
- Nealon, William
- Winter, Jordan M.
- Gimotty, Phyllis A.
- Grem, Jean L.
- DiMaio, Dominick J.
- Buscaglia, Jonathan M.
- Grandgenett, Paul M.
- Brody, Jonathan R.
- Hollingsworth, Michael A.
- O'Kane, Grainne M.
- Notta, Faiyaz
- Kim, Edward
- Crawford, James M.
- Devoe, Craig
- Ocean, Allyson
- Wolfgang, Christopher L.
- Yu, Kenneth H.
- Li, Ellen
- Vakoc, Christopher R.
- Fischer, Sandra E.
- Wilson, Julie M.
- Moffitt, Richard
- Knox, Jennifer
- Krasnitz, Alexander
- Tuveson, David A.
- Venue
- Cancer Discovery
- Published
- 2018-09-01
- Volume
- 8
- Issue
- 9
- Pages
- 1112-1129
- ISSN
- 2159-8274 (ISSN-L)
- 2159-8290
- PMC
- PMC6125219
- OpenAlex
- W2807088563
- Cited by
- 1,092
- References
- 62
- Citations by year
- 2026: 132 · 2025: 135 · 2024: 147 · 2023: 130 · 2022: 150 · 2021: 168 · 2020: 128 · 2019: 83 · 2018: 16
- FWCI
- 36.76
- Type
- journal article
- Language
- en
- Open access
- green
- pure.knaw.nl
- Licence
- other-oa
- Locations
- Cancer Discovery (publishedVersion)
- PubMed (publishedVersion)
- KNAW research portal (Royal Academy of Art and Sciences (KNAW)) (publishedVersion, other-oa)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- eScholarship (California Digital Library) (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- Utrecht University Repository (Utrecht University) (submittedVersion)
- Funders
- HHS | National Institutes of Health (NIH) (5P30CA45508-29, 5P50CA101955-07, P20CA192996-03, 1U10CA180944-04, 5U01CA168409-5, 1R01CA188134-01, 1R01CA190092-04, HHSN26100008)
- Lustgarten Foundation
- Topics
- Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Keywords
- pancreatic cancer, patient-derived organoids, chemotherapy response, chemotherapy response prediction, predictive biomarkers, transcriptomic subtypes, cancer driver genes, gene expression signatures, synchronous metastases, chemotherapy-refractory disease, targeted therapy, precision medicine, adjuvant chemotherapy
- MeSH terms
- Antineoplastic Agents, Drug Screening Assays, Antitumor, Humans, Organoids, Pancreatic Neoplasms, Prospective Studies, Tumor Cells, Cultured, Gene Expression Regulation, Neoplastic, Sequence Analysis, RNA, Drug Resistance, Neoplasm, Gene Expression Profiling, Gene Regulatory Networks, Precision Medicine, Molecular Targeted Therapy, Standard of Care
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