The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Efficient use of patient-derived organoids as a preclinical model for gynecologic tumors
Abstract
Objective The relevance of patient-derived cancer cells has been recently increasing, particularly in terms of drug discovery and precision medicine. Whereas Matrigel-based organoid culture is a promising technique that enables infinite proliferation of cells from many types of organs in a physiological condition, its validity in gynecologic tumors remains to be established. To address this issue, we aimed at developing an efficient method for organoid culture of both ovarian and endometrial tumors.Methods We conducted 3D culture of 21 gynecologic tumors following our original and modified protocol for Matrigel bilayer organoid culture. We investigated whether propagated organoids retained various features of the original tumors by histopathological examination and targeted genome sequencing.Results We customized the protocol we previously optimized for murine normal and cancer tissues, so as to circumvent the digestion-resistant nature inherent to gynecologic tumors. Indeed, this modified protocol improved the success rate from 45 to 90%, for robust propagation of organoids from tumors with various stages and subtypes. Finally, 14 patient-derived organoids were established. The recovered organoids were enriched for cancer cells that retained many aspects of the original tumors, including histological features, mutation profiles, and intra-tumoral heterogeneity. A subset of the expanded organoids could develop xenografts in immunodeficient mice, potentially paving the way to drug screening in vivo. Drug response assay in vitro for paclitaxel and cisplatin was feasible using organoid-derived spheroids.Conclusions We showed that patient-derived organoids closely resembled the original gynecologic tumors, and thereby would serve as a promising resource for preclinical studies.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“When grown in a modified Matrigel bilayer, organoids from MOCs could reproduce behaviors of their derivative cancer, such as production of mucin and a cystic morphology (Maru et al., 2019).”
From Three-dimensional modelling of ovarian cancer: from cell lines to organoids for discovery and personalized medicine (2022) · cites this paper as Maru et al., 2019
Citations
Cites
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
Integrated genomic characterization of endometrial carcinoma
The Cancer Genome Atlas Research Network, & Levine, D. A. (2013) · Nature · doi:10.1038/nature12113 · Cited by 5,784
Prospective Derivation of a Living Organoid Biobank of Colorectal Cancer Patients
van de Wetering, M., Francies, H. E., Francis, J. M., Bounova, G., Iorio, F., Pronk, A., van Houdt, W., van Gorp, J., Taylor-Weiner, A., Kester, L., et al. (2015) · Cell · doi:10.1016/j.cell.2015.03.053 · Cited by 2,408
Organoid 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
A 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
Organoid Cultures Derived from Patients with Advanced Prostate Cancer
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., et al. (2014) · Cell · doi:10.1016/j.cell.2014.08.016 · Cited by 1,559
Spherical Cancer Models in Tumor Biology
Weiswald, L., Bellet, D. H., & Dangles‐Marie, V. (2015) · Neoplasia · doi:10.1016/j.neo.2014.12.004 · Cited by 1,194
Modeling colorectal cancer using CRISPR-Cas9–mediated engineering of human intestinal organoids
Matano, M., Date, S., Shimokawa, M., Takano, A., Fujii, M., Ohta, Y., Watanabe, T., Kanai, T., & Sato, T. (2015) · Nature Medicine · doi:10.1038/nm.3802 · Cited by 1,135
Bertotti, A., Migliardi, G., Galimi, F., Sassi, F., Torti, D., Isella, C., Corà, D., Di Nicolantonio, F., Buscarino, M., Petti, C., et al. (2011) · Cancer Discovery · doi:10.1158/2159-8290.cd-11-0109 · Cited by 939
Tumor 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
Research works printed but not linked: 1
- Lee, 2017, vol. 28(2), e14
Cited by
Sorted by citations
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
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
Stable expansion of high‐grade serous ovarian cancer organoids requires a low‐Wnt environment
Hoffmann, K., Berger, H., Kulbe, H., Thillainadarasan, S., Mollenkopf, H., Żemojtel, T., TAUBE, E. T., Darb‐Esfahani, S., Mangler, M., Sehouli, J., et al. (2020) · The EMBO Journal · doi:10.15252/embj.2019104013 · Cited by 252
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
Developing Organoids from Ovarian Cancer as Experimental and Preclinical Models
Maenhoudt, N., Defraye, C., Boretto, M., Jan, Z., Heremans, R., Boeckx, B., Hermans, F., Arijs, I., Cox, B., Van Nieuwenhuysen, E., et al. (2020) · Stem Cell Reports · doi:10.1016/j.stemcr.2020.03.004 · Cited by 186
Metadata
- Authors
- Maru, Y., Tanaka, N., Itami, M., & Hippo, Y.
- Affiliations
- Chiba Cancer Center Research Institute (JP)
- Chiba Cancer Center (JP)
- Corresponding author
- Hippo, Yoshitaka
- Venue
- Gynecologic Oncology
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 154
- Issue
- 1
- Pages
- 189-198
- ISSN
- 0090-8258 (ISSN-L)
- OpenAlex
- W2946001968
- Cited by
- 162
- References
- 39
- Citations by year
- 2026: 12 · 2025: 23 · 2024: 28 · 2023: 21 · 2022: 25 · 2021: 31 · 2020: 17 · 2019: 5
- FWCI
- 8.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Gynecologic Oncology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Japan Society for the Promotion of Science
- Topics
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Health Sciences › Medicine › Oncology › Ovarian cancer diagnosis and treatment
- Keywords
- patient-derived organoids, gynecologic cancer, ovarian cancer, endometrial cancer, tumor heterogeneity, paclitaxel, cisplatin, drug screening, 3D cell culture
- MeSH terms
- Animals, Drug Screening Assays, Antitumor, Female, Humans, Mice, Inbred BALB C, Mice, Nude, Neoplasm Staging, Organoids, Ovarian Neoplasms, Endometrial Neoplasms, Tissue Culture Techniques, Mice
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
