Tumor organoid–T-cell coculture systems
Open accessAbstract
T cells are key players in cancer immunotherapy, but strategies to expand tumor-reactive cells and study their interactions with tumor cells at the level of an individual patient are limited. Here we describe the generation and functional assessment of tumor-reactive T cells based on cocultures of tumor organoids and autologous peripheral blood lymphocytes. The procedure consists of an initial coculture of 2 weeks, in which tumor-reactive T cells are first expanded in the presence of (IFNγ-stimulated) autologous tumor cells. Subsequently, T cells are evaluated for their capacity to carry out effector functions (IFNγ secretion and degranulation) after recognition of tumor cells, and their capacity to kill tumor organoids. This strategy is unique in its use of peripheral blood as a source of tumor-reactive T cells in an antigen-agnostic manner. In 2 weeks, tumor-reactive CD8+ T-cell populations can be obtained from ~33-50% of samples from patients with non-small-cell lung cancer (NSCLC) and microsatellite-instable colorectal cancer (CRC). This enables the establishment of ex vivo test systems for T-cell-based immunotherapy at the level of the individual patient.
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?
Ex vivo coculture systems utilizing human peripheral blood mononuclear cells or tumor-infiltrating lymphocytes cocultured with patient-derived organoids provide valuable platforms to interrogate human-specific immune responses to phage-delivered antigens or immunotherapies.
“In addition, ex vivo coculture systems utilizing human peripheral blood mononuclear cells or tumor-infiltrating lymphocytes cocultured with patient-derived organoids provide valuable platforms to interrogate human-specific immune responses to phage-delivered antigens or immunotherapies [111–113]”
From Phage therapy in oncology: opportunities for cancer prevention and treatment (2026) · cites this paper as [111]
The Introduction’s Experimental design section describes coculturing human PBMCs with autologous tumor organoids, and Applications of the protocol proposes using the system to investigate immuno-oncology drugs. Comparison with other approaches mentions tumor-derived immune cells in other coculture systems, but this paper’s protocol uses peripheral blood cells. No passage supports testing responses to phage-delivered antigens. Page numbers are not available in our copy. (LLM, conf=0.88)
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.
Cites
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 · see citing works
Organoid modeling of the tumor immune microenvironment
Neal, J. T., Li, X., Zhu, J., Giangarra, V., Grzeskowiak, C. L., Ju, J., Liu, I. H., Chiou, S.-H., Salahudeen, A. A., Smith, A. R., et al. (2018) · Cell · doi:10.1016/j.cell.2018.11.021 · Cited by 1,556 · see citing works
Bystander CD8+ T cells are abundant and phenotypically distinct in human tumour infiltrates
Simoni, Y., Becht, E., Fehlings, M., Loh, C. Y., Koo, S.-L., Teng, K. W. W., Yeong, J. P. S., Nahar, R., Zhang, T., Kared, H., et al. (2018) · Nature · doi:10.1038/s41586-018-0130-2 · Cited by 1,370 · see citing works
Dijkstra, K. K., Cattaneo, C. M., Weeber, F., Chalabi, M., van de Haar, J., Fanchi, L. F., Slagter, M., van der Velden, D. L., Kaing, S., Kelderman, S., et al. (2018) · Cell · doi:10.1016/j.cell.2018.07.009 · Cited by 1,135 · see citing works
Self-citationLong‐term expanding human airway organoids for disease modeling
Sachs, N., Papaspyropoulos, A., Zomer‐van Ommen, D. D., Heo, I., Böttinger, L., Klay, D., Weeber, F., Huelsz‐Prince, G., Iakobachvili, N., Amatngalim, G. D., et al. (2019) · The EMBO Journal · doi:10.15252/embj.2018100300 · Cited by 1,082 · see citing works
Self-citationBroutier, L., Andersson-Rolf, A., Hindley, C. J., Boj, S. F., Clevers, H., Koo, B.-K., & Huch, M. (2016) · Nature Protocols · doi:10.1038/nprot.2016.097 · Cited by 834 · see citing works
Blank, C. U., Haanen, J. B., Ribas, A., & Schumacher, T. N. (2016) · Science · doi:10.1126/science.aaf2834 · Cited by 748 · see citing works
Turcotte, S., Gros, A., Hogan, K., Tran, E., Hinrichs, C. S., Wunderlich, J. R., Dudley, M. E., & Rosenberg, S. A. (2013) · The Journal of Immunology · doi:10.4049/jimmunol.1300538 · Cited by 107 · see citing works
Flagged first, then by citations
Research works printed but not linked: 23
- [2]Dijkstra KK Voabil P Schumacher TN Voest EE Genomics- and transcriptomics-based patient selection for cancer treatment with immune checkpoint inhibitors: a review JAMA Oncol 2016 2 1490 1495 27491050
- [3]Pitt JM Resistance mechanisms to immune-checkpoint blockade in cancer: tumor-intrinsic and –extrinsic factors Immunity 2016 44 1255 1269 27332730
- [4]Sharma P Hu-Lieskovan S Wargo JA Ribas A Primary, adaptive, and acquired resistance to cancer immunotherapy Cell 2017 168 707 723 28187290 PMC5391692
- [7]Zaretsky JM Mutations associated with acquired resistance to PD-1 blockade in melanoma N Engl J Med 2016 375 819 829 27433843 PMC5007206
- [8]Rosenberg SA Restifo NP Adoptive cell transfer as personalized immunotherapy for human cancer Science 2015 348 62 68 25838374 PMC6295668
- [9]Geukes Foppen MH Donia M Svane IM Haanen JB Tumor-infiltrating lymphocytes for the treatment of metastatic cancer Mol Oncol 2015 9 1918 1935 26578452 PMC5528735
- [10]Scheper W Low and variable tumor reactivity of the intratumoral TCR repertoire in human cancers Nat Med 2018 25 89 94 30510250
- [12]Gros A PD-1 identifies the patient-specific CD8+ tumor-reactive repertoire infiltrating human tumors J Clin Invest 2014 124 2246 2259 24667641 PMC4001555
- [13]Strønen E Targeting of cancer neoantigens with donor-derived T cell repertoires Science 2016 352 1337 1441 27198675
- [14]Yossef R Enhanced detection of neoantigen-reactive T cells targeting unique and shared oncogenes for personalized cancer immunotherapy JCI Insight 2018 3 122467 30282837 PMC6237474
- [15]Ye Q CD137 accurately identifies and enriches for naturally-occurring tumor-reactive T cells in tumor Clin Cancer Res 2014 20 44 55 24045181 PMC3947326
- [16]Gros A Prospective identification of neoantigen-specific lymphocytes in the peripheral blood of melanoma patients Nat Med 2016 22 433 438 26901407 PMC7446107
- [17]Cohen CJ Isolation of neoantigen-specific T cells from tumor and peripheral lymphocytes J Clin Invest 2015 125 3981 991 26389673 PMC4607110
- [18]Schumacher TN Scheper W Kvistborg P Cancer neoantigens 2018 10.1146/annurev-immunol-042617-053402 30550719 · DOI
- [19]Verdegaal EM Successful treatment of metastatic melanoma by adoptive transfer of blood-derived polyclonal tumor-specific CD4+ and CD8+ T cells in combination with low-dose interferonalpha Cancer Immunol Immunother 2011 60 953 963 21431917 PMC3119331
- [20]Nozaki K Co-culture with intestinal epithelial organoids allows efficient expansion and motility analysis of intraepithelial lymphocytes J Gastroenterol 2016 52 206 213 PMC4771822 26800996
- [21]Tsai S Development of primary human pancreatic cancer organoids, matched stromal and immune cells and 3D tumor microenvironment models BMC Cancer 2018 18 335 29587663 PMC5870823
- [22]Jenkins RW Ex vivo profiling of PD-1 blockade using organotypic tumor spheroids Cancer Discov 2018 8 196 215 29101162 PMC5809290
- [24]Weeber F Preserved genetic diversity in organoids cultured from biopsies of human colorectal cancer metastases Proc Natl Acad U S A 2015 112 13308 13311 PMC4629330 26460009
- [27]Schütte M Molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to EGFR inhibitors Nat Commun 2017 8 14262 28186126 PMC5309787
- [28]Drost J Organoid culture systems for prostate epithelial and cancer tissue Nat Protoc 2016 11 347 358 26797458 PMC4793718
- [30]Fujii M Matano M Nanki K Sato T Efficient genetic engineering of human intestinal organoids using electroporation Nat Protoc 2015 10 1474 1485 26334867
- [31]Dudley ME Wunderlich JR Shelton TE Even J Rosenberg SA Generation of tumorinfiltrating lymphocyte cultures for use in adoptive transfer therapy for melanoma patients J Immunother 2003 26 332 342 12843795 PMC2305721
Cited by
Sorted by citations
γδ T cells are effectors of immunotherapy in cancers with HLA class I defects
de Vries, N. L., van de Haar, J., Veninga, V., Chalabi, M., Ijsselsteijn, M. E., van der Ploeg, M., van den Bulk, J., Ruano, D., van den Berg, J. G., Haanen, J. B., et al. (2023) · Nature · doi:10.1038/s41586-022-05593-1 · Cited by 311 · see citing works
Self-citationCancer research using organoid technology
Kretzschmar, K. (2021) · Journal of Molecular Medicine · doi:10.1007/s00109-020-01990-z · Cited by 120 · see citing works
Zhou, Z., Van der Jeught, K., Fang, Y., Yu, T., Li, Y., Ao, Z., Liu, S., Zhang, L., Yang, Y., Eyvani, H., et al. (2021) · Nature Biomedical Engineering · doi:10.1038/s41551-021-00805-x · Cited by 107 · see citing works
Organoid co‐culture models of the tumor microenvironment promote precision medicine
Gu, Z., Wu, Q., Shang, B., Zhang, K., & Zhang, W. (2024) · Cancer Innovation · doi:10.1002/cai2.101 · Cited by 47 · see citing works
Dijkstra, J. J., Neikes, H. K., Rezaeifard, S., Ma, X., Voest, E. E., Tauriello, D. V. F., & Vermeulen, M. (2023) · Journal of Proteome Research · doi:10.1021/acs.jproteome.2c00551 · Cited by 23 · see citing works
Self-citationPhage therapy in oncology: opportunities for cancer prevention and treatment
Mutalik, V. K., Inman, J. L., Chang, H., Arkin, A., & Mao, J.-H. (2026) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2026.02.001 · Cited by 5 · see citing works
- Authors
- Cattaneo, C. M., Dijkstra, K. K., Fanchi, L. F., Kelderman, S., Kaing, S., van Rooij, N., van den Brink, S., Schumacher, T. N., & Voest, E. E.
- Affiliations
- The Netherlands Cancer Institute (NL)
- Corresponding author
- Voest, Emile E.
- Venue
- Nature Protocols
- Published
- 2019-12-18
- Volume
- 15
- Issue
- 1
- Pages
- 15-39
- ISSN
- 1750-2799 (ISSN-L)
- 1754-2189
- PMC
- PMC7610702
- OpenAlex
- W2995460694
- Cited by
- 410
- References
- 8
- Citations by year
- 2026: 87 · 2025: 82 · 2024: 69 · 2023: 60 · 2022: 53 · 2021: 46 · 2020: 13
- FWCI
- 11.19
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Protocols (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Keywords
- tumor organoids, tumor-reactive T cells, CD8+ T cells, T cell effector function, T cell degranulation, non-small cell lung cancer, cancer immunotherapy
- MeSH terms
- Humans, Neoplasms, Organoids, T-Lymphocytes, Coculture Techniques
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