The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
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.
Overview
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
Verification
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Cited by
Sorted by citations
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
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.
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
