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Patient-derived organoids (PDOs) and PDO-derived xenografts (PDOXs): New opportunities in establishing faithful pre-clinical cancer models

Wang, Ergang, Xiang, Kun, Zhang, Yun, Wang, Xiao-Fan·2022·Journal of the National Cancer Center

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Fig. 1 Comparison of patient-derived organoids (PDO), patient-derived xenografts (PDX) and PDO-derived xenografts (PDOX), along with a potential workflow for deriving patient-derived models of cancer (PDMC) in the future.
Fig. 1 Comparison of patient-derived organoids (PDO), patient-derived xenografts (PDX) and PDO-derived xenografts (PDOX), along with a potential workflow for deriving patient-derived models of cancer (PDMC) in the future.CC BY · PubMed Central
Fig. 2 Summary of advanced models of PDO and their applications. Inner loop: advanced PDO models. Outer loop: popular applications of PDO. ECM, extracellular matrix; FNB, fine-needle biopsy; TME, tumor microenvironment.
Fig. 2 Summary of advanced models of PDO and their applications. Inner loop: advanced PDO models. Outer loop: popular applications of PDO. ECM, extracellular matrix; FNB, fine-needle biopsy; TME, tumor microenvironment.CC BY · PubMed Central

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Research works printed but not linked: 96

  1. Bleijs, 2019, Xenograft and organoid model systems in cancer research, EMBO J, 38, 10.15252/embj.2019101654 · DOI · Paper page
  2. Verissimo, 2016, Targeting mutant RAS in patient-derived colorectal cancer organoids by combinatorial drug screening, Elife, 5, e18489, 10.7554/eLife.18489 · DOI · Paper page
  3. Tentler, 2012, Patient-derived tumour xenografts as models for oncology drug development, Nat Rev Clin Oncol, 9, 338, 10.1038/nrclinonc.2012.61 · DOI · Paper page
  4. Hidalgo, 2014, Patient-derived xenograft models: an emerging platform for translational cancer research, Cancer Discov, 4, 998, 10.1158/2159-8290.CD-14-0001 · DOI
  5. Kim, 2009, Generation of orthotopic and heterotopic human pancreatic cancer xenografts in immunodeficient mice, Nat Protoc, 4, 1670, 10.1038/nprot.2009.171 · DOI
  6. Marincola, 1987, Orthotopic and heterotopic xenotransplantation of human pancreatic cancer in nude mice, Curr Surg, 44, 294
  7. Julien, 2012, Characterization of a large panel of patient-derived tumor Xenografts representing the clinical heterogeneity of human colorectal cancercolorectal patient-derived tumor models, Clin Cancer Res, 18, 5314, 10.1158/1078-0432.CCR-12-0372 · DOI
  8. Puig, 2013, A personalized preclinical model to evaluate the metastatic potential of patient-derived colon cancer initiating cellsA metastasis model with patient-derived colon cancer cells, Clin Cancer Res, 19, 6787, 10.1158/1078-0432.CCR-12-1740 · DOI
  9. Marangoni, 2007, A new model of patient tumor-derived breast cancer xenografts for preclinical assays, Clin Cancer Res, 13, 3989, 10.1158/1078-0432.CCR-07-0078 · DOI
  10. DeRose, 2011, Tumor grafts derived from women with breast cancer authentically reflect tumor pathology, growth, metastasis and disease outcomes, Nat Med, 17, 1514, 10.1038/nm.2454 · DOI
  11. Vaillant, 2013, Targeting BCL-2 with the BH3 mimetic ABT-199 in estrogen receptor-positive breast cancer, Cancer Cell, 24, 120, 10.1016/j.ccr.2013.06.002 · DOI
  12. Garrido-Laguna, 2011, Tumor engraftment in nude mice and enrichment in stroma-related gene pathways predict poor survival and resistance to gemcitabine in patients with pancreatic cancerpersonalized pancreatic cancer xenografts, Clin Cancer Res, 17, 5793, 10.1158/1078-0432.CCR-11-0341 · DOI
  13. Reyes, 1996, Orthotopic xenografts of human pancreatic carcinomas acquire genetic aberrations during dissemination in nude mice, Cancer Res, 56, 5713
  14. Nguyen, 2017, LuCaP prostate cancer patient-derived xenografts reflect the molecular heterogeneity of advanced disease and serve as models for evaluating cancer therapeutics, Prostate, 77, 654, 10.1002/pros.23313 · DOI
  15. Pan, 2015, Development and characterization of bladder cancer patient-derived xenografts for molecularly guided targeted therapy, PLoS ONE, 10, 10.1371/journal.pone.0134346 · DOI
  16. Kim, 2020, Modeling biological and genetic diversity in upper tract urothelial carcinoma with patient derived xenografts, Nat Commun, 11, 1
  17. Blomme, 2018, Murine stroma adopts a human-like metabolic phenotype in the PDX model of colorectal cancer and liver metastases, Oncogene, 37, 1237, 10.1038/s41388-017-0018-x · DOI
  18. Bhimani, 2020, Patient-derived xenograft models—the future of personalised cancer treatment, Br J Cancer, 122, 601, 10.1038/s41416-019-0678-0 · DOI
  19. Roife, 2017, Generation of patient-derived xenografts from fine needle aspirates or core needle biopsy, Surgery, 161, 1246, 10.1016/j.surg.2016.11.020 · DOI
  20. Ivanics, 2018, Patient-derived xenograft cryopreservation and reanimation outcomes are dependent on cryoprotectant type, Lab Invest, 98, 947, 10.1038/s41374-018-0042-7 · DOI
  21. O'Connor, 1981, Grafting of burns with cultured epithelium prepared from autologous epidermal cells, Lancet, 317, 75, 10.1016/S0140-6736(81)90006-4 · DOI
  22. Lindberg, 1993, In vitro propagation of human ocular surface epithelial cells for transplantation, Invest Ophthalmol Vis Sci, 34, 2672
  23. Sato, 2009, Single Lgr5 stem cells build crypt-villus structures in vitro without a mesenchymal niche, Nature, 459, 262, 10.1038/nature07935 · DOI · Paper page
  24. Ootani, 2009, Sustained in vitro intestinal epithelial culture within a Wnt-dependent stem cell niche, Nat Med, 15, 701, 10.1038/nm.1951 · DOI · Paper page
  25. Ding, 2022, Patient-derived micro-organospheres enable clinical precision oncology, Cell Stem Cell, 29, 905, 10.1016/j.stem.2022.04.006 · DOI · Paper page
  26. Fujii, 2016, A colorectal tumor organoid library demonstrates progressive loss of niche factor requirements during tumorigenesis, Cell Stem Cell, 18, 827, 10.1016/j.stem.2016.04.003 · DOI · Paper page
  27. Weeber, 2015, Preserved genetic diversity in organoids cultured from biopsies of human colorectal cancer metastases, Proc Natl Acad Sci U S A, 112, 13308, 10.1073/pnas.1516689112 · DOI · Paper page
  28. Yao, 2020, Patient-derived organoids predict chemoradiation responses of locally advanced rectal cancer, Cell Stem Cell, 26, 17, 10.1016/j.stem.2019.10.010 · DOI · Paper page
  29. Huang, 2015, Ductal pancreatic cancer modeling and drug screening using human pluripotent stem cell–and patient-derived tumor organoids, Nat Med, 21, 1364, 10.1038/nm.3973 · DOI
  30. Yan, 2018, A comprehensive human gastric cancer organoid biobank captures tumor subtype heterogeneity and enables therapeutic screening, Cell Stem Cell, 23, 882, 10.1016/j.stem.2018.09.016 · DOI · Paper page
  31. Seidlitz, 2019, Human gastric cancer modelling using organoids, Gut, 68, 207, 10.1136/gutjnl-2017-314549 · DOI
  32. Beshiri, 2018, A PDX/organoid biobank of advanced prostate cancers captures genomic and phenotypic heterogeneity for disease modeling and therapeutic screening, Clini Cancer Res, 24, 4332, 10.1158/1078-0432.CCR-18-0409 · DOI
  33. Kopper, 2019, An organoid platform for ovarian cancer captures intra-and interpatient heterogeneity, Nat Med, 25, 838, 10.1038/s41591-019-0422-6 · DOI · Paper page
  34. Shultz, 2012, Humanized mice for immune system investigation: progress, promise and challenges, Nat Rev Immunol, 12, 786, 10.1038/nri3311 · DOI
  35. De La Rochere, 2018, Humanized mice for the study of immuno-oncology, Trends Immunol, 39, 748, 10.1016/j.it.2018.07.001 · DOI
  36. Tsai, 2018, Development of primary human pancreatic cancer organoids, matched stromal and immune cells and 3D tumor microenvironment models, BMC Cancer, 18, 1, 10.1186/s12885-018-4238-4 · DOI · Paper page
  37. Genova, 2019, Induced pluripotent stem cells for therapy personalization in pediatric patients: focus on drug-induced adverse events, World J Stem Cells, 11, 1020, 10.4252/wjsc.v11.i12.1020 · DOI
  38. Yuan, 2022, Patient-derived organoids for personalized gallbladder cancer modelling and drug screening, Clin Transl Med, 12, e678, 10.1002/ctm2.678 · DOI
  39. Driehuis, 2020, Establishment of pancreatic organoids from normal tissue and tumors, STAR Protoc, 1
  40. Driehuis, 2019, Patient-derived head and neck cancer organoids recapitulate EGFR expression levels of respective tissues and are responsive to EGFR-targeted photodynamic therapy, J Clin Med, 8, 1880, 10.3390/jcm8111880 · DOI
  41. Jian, 2020, A novel patient-derived organoids-based xenografts model for preclinical drug response testing in patients with colorectal liver metastases, J Transl Med, 18, 1, 10.1186/s12967-020-02407-8 · DOI
  42. Della Chiara, 2021, Epigenomic landscape of human colorectal cancer unveils an aberrant core of pan-cancer enhancers orchestrated by YAP/TAZ, Nat Commun, 12, 1, 10.1038/s41467-021-22544-y · DOI
  43. Boj, 2015, Organoid models of human and mouse ductal pancreatic cancer, Cell, 160, 324, 10.1016/j.cell.2014.12.021 · DOI · Paper page
  44. Kim, 2019, Patient-derived lung cancer organoids as in vitro cancer models for therapeutic screening, Nat Commun, 10, 1, 10.1038/s41467-019-11867-6 · DOI · Paper page
  45. Puca, 2018, Patient derived organoids to model rare prostate cancer phenotypes, Nat Commun, 9, 1, 10.1038/s41467-018-04495-z · DOI
  46. Girda, 2017, The use of endometrial cancer patient–derived organoid culture for drug sensitivity testing is feasible, Int J Gynecol Cancer, 27, 1701, 10.1097/IGC.0000000000001061 · DOI
  47. Boretto, 2019, Patient-derived organoids from endometrial disease capture clinical heterogeneity and are amenable to drug screening, Nat Cell Biol, 21, 1041, 10.1038/s41556-019-0360-z · DOI
  48. Schutgens, 2019, Tubuloids derived from human adult kidney and urine for personalized disease modeling, Nat Biotechnol, 37, 303, 10.1038/s41587-019-0048-8 · DOI
  49. Hubert, 2016, A three-dimensional organoid culture system derived from human glioblastomas recapitulates the hypoxic gradients and cancer stem cell heterogeneity of tumors found in vivobrain cancer stem cell organoids, Cancer Res, 76, 2465, 10.1158/0008-5472.CAN-15-2402 · DOI
  50. Linkous, 2019, Modeling patient-derived glioblastoma with cerebral organoids, Cell Rep, 26, 3203, 10.1016/j.celrep.2019.02.063 · DOI · Paper page
  51. Dijkstra, 2021, Patient-derived organoid models of human neuroendocrine carcinoma, Front Endocrinol (Lausanne), 12, 10.3389/fendo.2021.627819 · DOI
  52. Li, 2014, Oncogenic transformation of diverse gastrointestinal tissues in primary organoid culture, Nat Med, 20, 769, 10.1038/nm.3585 · DOI
  53. Matano, 2015, Modeling colorectal cancer using CRISPR-Cas9–mediated engineering of human intestinal organoids, Nat Med, 21, 256, 10.1038/nm.3802 · DOI · Paper page
  54. Bian, 2018, Genetically engineered cerebral organoids model brain tumor formation, Nat Method.s, 15, 631, 10.1038/s41592-018-0070-7 · DOI
  55. Yuan, 2020, Cellular senescence: from anti-cancer weapon to anti-aging target, Sci China Life Sci, 63, 332, 10.1007/s11427-019-1629-6 · DOI
  56. Alexander, 2015, EGF promotes mammalian cell growth by suppressing cellular senescence, Cell Res, 25, 135, 10.1038/cr.2014.141 · DOI
  57. Rabata, 2020, 3D cell culture models demonstrate a role for FGF and WNT signaling in regulation of lung epithelial cell fate and morphogenesis, Front Cell Dev Biol, 8, 574, 10.3389/fcell.2020.00574 · DOI
  58. Servant, 2021, Prostate cancer patient-derived organoids: detailed outcome from a prospective cohort of 81 clinical specimens, J Pathol Clin Res, 254, 543
  59. Feng, 2022, Cancer-associated fibroblasts and resistance to anticancer therapies: status, mechanisms, and countermeasures, Cancer Cell Int, 22, 1, 10.1186/s12935-022-02599-7 · DOI
  60. Rosenberg, 2015, Adoptive cell transfer as personalized immunotherapy for human cancer, Science, 348, 62, 10.1126/science.aaa4967 · DOI
  61. Larkin, 2015, Combined nivolumab and ipilimumab or monotherapy in untreated melanoma, N Engl J Med, 373, 23, 10.1056/NEJMoa1504030 · DOI · Paper page
  62. Borghaei, 2015, Nivolumab versus docetaxel in advanced nonsquamous non–small-cell lung cancer, N Engl J Med, 373, 1627, 10.1056/NEJMoa1507643 · DOI · Paper page
  63. Seino, 2018, Human pancreatic tumor organoids reveal loss of stem cell niche factor dependence during disease progression, Cell Stem Cell, 22, 454, 10.1016/j.stem.2017.12.009 · DOI · Paper page
  64. Moir, 2015, The role of pancreatic stellate cells in pancreatic cancer, Surg Oncol, 24, 232, 10.1016/j.suronc.2015.05.002 · DOI
  65. Zhang, 2019, Human colorectal cancer-derived carcinoma associated fibroblasts promote CD44-mediated adhesion of colorectal cancer cells to endothelial cells by secretion of HGF, Cancer Cell Int, 19, 1
  66. Luo, 2021, Hydrogel-based colorectal cancer organoid co-culture models, Acta Biomater, 132, 461, 10.1016/j.actbio.2020.12.037 · DOI
  67. Kong, 2018, Tumor-infiltrating lymphocyte function predicts response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer, JCO Precis Oncol, 2, 1, 10.1200/PO.18.00075 · DOI
  68. Scheper, 2019, Low and variable tumor reactivity of the intratumoral TCR repertoire in human cancers, Nat Med, 25, 89, 10.1038/s41591-018-0266-5 · DOI
  69. Sontheimer-Phelps, 2019, Modelling cancer in microfluidic human organs-on-chips, Nat Rev Cancer, 19, 65, 10.1038/s41568-018-0104-6 · DOI · Paper page
  70. Miller, 2018, A 3D human renal cell carcinoma-on-a-chip for the study of tumor angiogenesis, Neoplasia, 20, 610, 10.1016/j.neo.2018.02.011 · DOI · Paper page
  71. Wu, 2017, A versatile microfluidic platform for the study of cellular interactions between endothelial cells and neutrophils, Biochim Biophys Acta Gen Subj, 1861, 1122, 10.1016/j.bbagen.2017.02.012 · DOI
  72. Le, 2015, PD-1 blockade in tumors with mismatch-repair deficiency, N Engl J Med, 372, 2509, 10.1056/NEJMoa1500596 · DOI · Paper page
  73. Diaby, 2015, A review of systematic reviews of the cost-effectiveness of hormone therapy, chemotherapy, and targeted therapy for breast cancer, Breast Cancer Res Treat, 151, 27, 10.1007/s10549-015-3383-6 · DOI
  74. Vargas, 2016, Biomarker development in the precision medicine era: lung cancer as a case study, Nat Rev Cancer, 16, 525, 10.1038/nrc.2016.56 · DOI
  75. Narasimhan, 2020, Medium-throughput drug screening of patient-derived organoids from colorectal peritoneal metastases to direct personalized therapyfunctional precision medicine for advanced colorectal cancer, Clini Cancer Res, 26, 3662, 10.1158/1078-0432.CCR-20-0073 · DOI
  76. Sharick, 2020, Metabolic heterogeneity in patient tumor-derived organoids by primary site and drug treatment, Front Oncol, 10, 553, 10.3389/fonc.2020.00553 · DOI
  77. Qian, 2021, Radiotherapy and immunotherapy for head and neck cancer: current evidence and challenges, Front Oncol, 10, 10.3389/fonc.2020.608772 · DOI
  78. Roeder, 2020, Recent advances in (chemo-) radiation therapy for rectal cancer: a comprehensive review, Radiat Oncol, 15, 1, 10.1186/s13014-020-01695-0 · DOI
  79. Mann, 2018, Advances in radiotherapy for glioblastoma, Front Neurol, 8, 748, 10.3389/fneur.2017.00748 · DOI
  80. Driehuis, 2019, Oral mucosal organoids as a potential platform for personalized cancer therapyoral mucosal organoids as personalized cancer models, Cancer Discov, 9, 852, 10.1158/2159-8290.CD-18-1522 · DOI · Paper page
  81. Jacob, 2020, A patient-derived glioblastoma organoid model and biobank recapitulates inter-and intra-tumoral heterogeneity, Cell, 180, 188, 10.1016/j.cell.2019.11.036 · DOI · Paper page
  82. Chalabi, 2020, Neoadjuvant immunotherapy leads to pathological responses in MMR-proficient and MMR-deficient early-stage colon cancers, Nat Med, 26, 566, 10.1038/s41591-020-0805-8 · DOI · Paper page
  83. Esser, 2020, Cultivation of clear cell renal cell carcinoma patient-derived organoids in an air-liquid interface system as a tool for studying individualized therapy, Front Oncol, 10, 1775, 10.3389/fonc.2020.01775 · DOI
  84. Roerink, 2018, Intra-tumour diversification in colorectal cancer at the single-cell level, Nature, 556, 457, 10.1038/s41586-018-0024-3 · DOI
  85. Raghavan, 2021, Microenvironment drives cell state, plasticity, and drug response in pancreatic cancer, Cell, 184, 6119, 10.1016/j.cell.2021.11.017 · DOI · Paper page
  86. Togasaki, 2021, Wnt signaling shapes the histologic variation in diffuse gastric cancer, Gastroenterology, 160, 823, 10.1053/j.gastro.2020.10.047 · DOI
  87. Roe, 2017, Enhancer reprogramming promotes pancreatic cancer metastasis, Cell, 170, 875, 10.1016/j.cell.2017.07.007 · DOI
  88. Tung, 2021, Integrated chromatin and transcriptomic profiling of patient-derived colon cancer organoids identifies personalized drug targets to overcome oxaliplatin resistance, Genes Dis, 8, 203, 10.1016/j.gendis.2019.10.012 · DOI
  89. Roper, 2017, In vivo genome editing and organoid transplantation models of colorectal cancer and metastasis, Nat Biotechnol, 35, 569, 10.1038/nbt.3836 · DOI
  90. Lai, 2017, Current status and perspectives of patient-derived xenograft models in cancer research, J Hematol Oncol, 10, 1, 10.1186/s13045-017-0470-7 · DOI
  91. O'Rourke, 2017, Transplantation of engineered organoids enables rapid generation of metastatic mouse models of colorectal cancer, Nat Biotechnol, 35, 577, 10.1038/nbt.3837 · DOI
  92. Duarte, 2018, BRCA-deficient mouse mammary tumor organoids to study cancer-drug resistance, Nat Methods, 15, 134, 10.1038/nmeth.4535 · DOI
  93. Xiang K., Wang E., Rupprecht G., et al. Chromatin remodeling in patient-derived colorectal cancer models. BioRxiv. 2022. · DOI
  94. Kissel, 2017, Antitumor effects of regorafenib and sorafenib in preclinical models of hepatocellular carcinoma, Oncotarget, 8, 10.18632/oncotarget.22334 · DOI
  95. Dekkers, 2021, Long-term culture, genetic manipulation and xenotransplantation of human normal and breast cancer organoids, Nat Protoc, 16, 1936, 10.1038/s41596-020-00474-1 · DOI
  96. Wensink, 2021, Patient-derived organoids as a predictive biomarker for treatment response in cancer patients, NPJ Precis Oncol, 5, 1

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Metadata

Authors
Wang, E., Xiang, K., Zhang, Y., & Wang, X.-F.
Venue
Journal of the National Cancer Center
Publisher
Elsevier BV
Published
2022-12
Volume
2
Issue
4
Pages
263-276
ISSN
2667-0054
Cited by
56
References
37
Language
en

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