The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Modeling Clinical Responses to Targeted Therapies by Patient-Derived Organoids of Advanced Lung Adenocarcinoma
Open accessPublished version of a preprint
Abstract
Purpose: Patient-derived organoids (PDO) of lung cancer has been recently introduced, reflecting the genomic landscape of lung cancer. However, clinical relevance of advanced lung adenocarcinoma organoids remains unknown. Here, we examined the ability of PDOs to predict clinical responses to targeted therapies in individual patients and to identify effective anticancer therapies for novel molecular targets. Experimental Design: Eighty-four organoids were established from patients with advanced lung adenocarcinoma. Formalin-fixed, paraffin-embedded tumor specimens from corresponding patients were analyzed by whole-exome sequencing (n = 12). Organoids were analyzed by whole-exome sequencing (n = 61) and RNA sequencing (n = 55). Responses to mono or combination targeted therapies were examined in organoids and organoid-derived xenografts. Results: PDOs largely retained somatic alterations including driver mutations of matching patient tumors. PDOs were able to recapitulate progression-free survival and objective responses of patients with non–small cell lung cancer receiving clinically approved tyrosine kinase inhibitors. PDOs recapitulated activity of therapeutic strategies under clinical investigation. YUO-071 harboring an EGFR exon 19 deletion and a BRAF G464A mutation and the matching patient responded to dabrafenib/trametinib combination therapy. YUO-004 and YUO-050 harboring an EGFR L747P mutation was sensitive to afatinib, consistent with the response in the matching patient of YUO-050. Furthermore, we utilized organoids to identify effective therapies for novel molecular targets by demonstrating the efficacy of poziotinib against ERBB2 exon 20 insertions and pralsetinib against RET fusions. Conclusions: We demonstrated translational relevance of PDOs in advanced lung adenocarcinoma. PDOs are an important diagnostic tool, which can assist clinical decision making and accelerate development of therapeutic strategies.
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
Figures






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 cited source says what the claim attributes to it.
In the citing paper
“PDO have become an effective clinical-related model for predicting the drug responses, and they retain the morphological and characteristics of human primary tumors (38–40).”
From Small-molecule PROTAC mediates targeted protein degradation to treat STAT3-dependent epithelial cancer (2022) · cites this paper as [40]
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
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
Gefitinib or Carboplatin–Paclitaxel in Pulmonary Adenocarcinoma
Mok, T. S., Wu, Y.-L., Thongprasert, S., Yang, C.-H., Chu, D.-T., Saijo, N., Sunpaweravong, P., Han, B., Margono, B., Ichinose, Y., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0810699 · Cited by 8,261
In situ click chemistry generation of cyclooxygenase-2 inhibitors
Bhardwaj, A., Kaur, J., Wuest, M., & Wuest, F. (2017) · Nature Communications · doi:10.1038/s41467-016-0009-6 · Cited by 7,448
Modeling Development and Disease with Organoids
Clevers, H. (2016) · Cell · doi:10.1016/j.cell.2016.05.082 · Cited by 3,196
A Chromatin-Mediated Reversible Drug-Tolerant State in Cancer Cell Subpopulations
Sharma, S. V., Lee, D. Y., Li, B., Quinlan, M. P., Takahashi, F., Maheswaran, S., McDermott, U., Azizian, N., Zou, L., Fischbach, M. A., et al. (2010) · Cell · doi:10.1016/j.cell.2010.02.027 · Cited by 2,770
AZD9291 in EGFR Inhibitor–Resistant Non–Small-Cell Lung Cancer
Jänne, P. A., Yang, J. C.-H., Kim, D.-W., Planchard, D., Ohe, Y., Ramalingam, S. S., Ahn, M.-J., Kim, S.-W., Su, W.-C., Horn, L., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1411817 · Cited by 2,116
Self-citationCNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing
Talevich, E., Shain, A. H., Botton, T., & Bastian, B. C. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004873 · Cited by 2,098
Patient-derived organoids model treatment response of metastatic gastrointestinal cancers
Vlachogiannis, G., Hedayat, S., Vatsiou, A., Jamin, Y., Fernández-Mateos, J., Khan, K., Lampis, A., Eason, K., Huntingford, I., Burke, R., et al. (2018) · Science · doi:10.1126/science.aao2774 · Cited by 2,096
Feiner, N., Motone, F., Meyer, A., & Kuraku, S. (2019) · Scientific Reports · doi:10.1038/s41598-019-40055-1 · Cited by 1,988
Cited by
Sorted by citations
Items 101–151 of 151
The application and research advances of organoids in clinical medicine
Mo, S., Guan, R., Long, Z., Cai, S., Peng, J., & GuoQiang, H. U. A. (2021) · Scientia Sinica Vitae · doi:10.1360/ssv-2021-0315 · Cited by 2
[Application and Research Progress of Lung Cancer Organoid in Precision Medicine for Lung Cancer].
Huang, Z., Li, B., Wang, Y., Xue, J., Wei, Z., Liang, N., & Li, S. (2024) · PubMed Central · doi:10.3779/j.issn.1009-3419.2024.106.07 · Cited by 2
Liu, L., Li, H., Chen, C., Li, T., Deng, B., Liang, Z., & Liu, J. (2024) · Advanced Therapeutics · doi:10.1002/adtp.202400163 · Cited by 2
Jiang, M., Tu, R., Pan, Y., Cui, Y., Qi, X., Qin, H., Liu, L., Wang, X., Xue, Y., Xu, Y., et al. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e37884 · Cited by 2
Yu, M., Yang, D., Zhu, D., Wang, Y., Cao, M., Zhu, J., Zhu, W., Wang, G., & Aa, J. (2025) · The Journal of Pathology · doi:10.1002/path.6442 · Cited by 2
Isinelli, G., Failla, S., Plebani, R., & Prete, A. (2024) · Medicine International · doi:10.3892/mi.2024.212 · Cited by 1
Kai, J., Liu, X., Wu, M., Liu, P., Lin, M., Yang, H., & Zhao, Q. (2025) · Personalized Medicine · doi:10.1080/17410541.2024.2447224 · Cited by 3
Chen, J., Hu, C., Wu, J., Liang, Z., Qian, J., Chen, C., Huang, H., Zhu, Y. H., Zhao, Y., & Li, Y. (2025) · Biochemical Pharmacology · doi:10.1016/j.bcp.2025.117198 · Cited by 2
Endobronchial Ultrasound-Guided Biopsy-Derived Lung Cancer Models: A Platform for Precision Therapy
Koga, T., Ogawa, H., Radulovich, N., Pham, N., Quan, L., Nakajima, T., Djan, M., Li, M., Wang, Y., Hinokuma, H., et al. (2026) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2026.103893 · Cited by 1
Podaza, E., Capuano, J. A., Kuo, H., Assaad, M. A., Markowitz, G. J., Revuelta, M. V., Nguyen, J., Irizarry, A., Ravichandran, H., Ackermann, S., et al. (2026) · Cell Reports Methods · doi:10.1016/j.crmeth.2026.101339 · Cited by 2
赵瑞力, Cheng, H., Mei, S., Li, H., Zhang, L., & Ya, L. (2026) · Letters in Drug Design & Discovery · doi:10.1016/j.lddd.2026.100424 · Cited by 2
Organoids: a new research model for SARS-CoV-2infection and treatment
Wang, T., Fan, S., & Chen, Y. (2021) · Scientia Sinica Vitae · doi:10.1360/ssv-2021-0294 · Cited by 1
Sadeghi, S., Kiaei, A. A., Boush, M., Salari, N., Mohammadi, M., Safaei, D., Mahboubi, M., Tajfam, A., & Moghadam, S. (2024) · medRxiv · doi:10.1101/2024.04.14.24304384 · Cited by 1
Hung, C., Williams, M., Williams, R., Chen, M., Kamali, S., Sambandam, V., Chiu, C. H.-L., Osmulski, P. A., Gaczynska, M. E., DeArmond, D. T., et al. (2023) · Preprints.org · doi:10.20944/preprints202306.1176.v1
Ye, H., Yu, W., Ni, Y., Bao, X., Zhang, X., Li, Y., Chen, A., Li, J., & Zheng, L. (2024) · Oncology Letters · doi:10.3892/ol.2024.14327
Go, R., Na, K., 성, 수., Kang, Y.-J., 정, 용., & 안, 윤. (2024) · Public Health Weekly Report · doi:10.56786/phwr.2025.18.4.3
Organoids: New Research Tool in Cancer Diagnostics and Therapeutics
Potdar, P. D. (2025) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9789815238693125010009
Su, W., Yin, M., Chen, Y., Chen, J., Xu, X.-Q., Huang, X., Lei, X., Liang, Y., Jiang, Y., Chen, J., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-7552127/v1
Gu, Y., Yang, L., Zhang, H., Yin, S., Yang, L., Liu, Z., Yu, J., Huang, H., Li, J., & Cao, B. (2025) · Clinical Medicine Insights Oncology · doi:10.1177/11795549251405740
Kim, C. G., Kim, M. H., Kim, J. H., Kim, S.-G., Kim, G. M., Kim, T. Y., Ryu, W.-J., Kim, J. Y., Park, H. S., Park, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26561060
Self-citationKim, C. G., Kim, M. H., Kim, J. H., Kim, S.-G., Kim, G. M., Kim, T. Y., Ryu, W.-J., Kim, J. Y., Park, H. S., Park, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26561033
Self-citationLee, S.-Y., Cho, H. J., Choi, J., Ku, B., Moon, S. W., Moon, M. H., Kim, K. S., Hyun, K., Kim, T.-J., Sung, Y. E., et al. (2023) · Figshare · doi:10.6084/m9.figshare.24628075
Self-citationKim, C. G., Kim, M. H., Kim, J. H., Kim, S.-G., Kim, G. M., Kim, T. Y., Ryu, W.-J., Kim, J. Y., Park, H. S., Park, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26561042
Self-citationKim, C. G., Kim, M. H., Kim, J. H., Kim, S.-G., Kim, G. M., Kim, T. Y., Ryu, W.-J., Kim, J. Y., Park, H. S., Park, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26561039
Self-citationKim, C. G., Kim, M. H., Kim, J. H., Kim, S.-G., Kim, G. M., Kim, T. Y., Ryu, W.-J., Kim, J. Y., Park, H. S., Park, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26561048
Self-citationKim, C. G., Kim, M. H., Kim, J. H., Kim, S.-G., Kim, G. M., Kim, T. Y., Ryu, W.-J., Kim, J. Y., Park, H. S., Park, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26561045
Self-citationKim, C. G., Kim, M. H., Kim, J. H., Kim, S.-G., Kim, G. M., Kim, T. Y., Ryu, W.-J., Kim, J. Y., Park, H. S., Park, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26561054
Self-citationKim, C. G., Kim, M. H., Kim, J. H., Kim, S.-G., Kim, G. M., Kim, T. Y., Ryu, W.-J., Kim, J. Y., Park, H. S., Park, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26561051
Self-citationKim, C. G., Kim, M. H., Kim, J. H., Kim, S.-G., Kim, G. M., Kim, T. Y., Ryu, W.-J., Kim, J. Y., Park, H. S., Park, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26561057
Self-citationKim, C. G., Kim, M. H., Kim, J. H., Kim, S.-G., Kim, G. M., Kim, T. Y., Ryu, W.-J., Kim, J. Y., Park, H. S., Park, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26561036
Self-citationKim, C. G., Kim, M. H., Kim, J. H., Kim, S.-G., Kim, G. M., Kim, T. Y., Ryu, W.-J., Kim, J. Y., Park, H. S., Park, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26561063
Self-citationGonnelli, F., & Mei, F. (2025) · Current Pulmonology Reports · doi:10.1007/s13665-025-00398-9
Matrigel-Free Tumor Organoids on Microwell Arrays for CAR-T Cell Screening
Yu, Y., Dong, Y., Sun, X., Yang, C. C., Lu, Z., Liu, H., Wu, W., Li, D., Huang, M., & Gou, M. (2026) · Engineering · doi:10.1016/j.eng.2025.12.034
Construction and immunotherapy application of lung cancer organoids
Li, W., Ge, Y., Zhang, Z., Gan, J., Yao, W., Jin, Y., Bi, Y., & Sun, G. (2026) · International Journal of Cancer · doi:10.1002/ijc.70347
Luan, T., Fu, S., Liu, W., Wang, S., Xie, X., Lin, X., Chenli, Z., Wang, L., Ma, K., Ma, H., et al. (2026) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2026.2629081
Patient-Derived Lung Cancer Organoids for Precision Oncology: A Comprehensive Analysis
Chen, D., Sun, Z., Li, J., Wang, X., Li, Y., Mao, Y., & Chen, Y. (2026) · JTO Clinical and Research Reports · doi:10.1016/j.jtocrr.2026.100990
Hai, S., Zhou, X., Li, J., Zeng, X., & Yu, Q. (2026) · Scandinavian Journal of Immunology · doi:10.1111/sji.70107
Fusion oncogenes in cancer: organoid models and novel therapeutic approaches
Bracesco, L., Hendriks, D. F. G., & Artegiani, B. (2026) · BMC Biology · doi:10.1186/s12915-026-02606-7
Zhang, F., Wang, Y., Zhang, X., Bai, Y., Zhang, L., & Wei, S. (2026) · Frontiers in Oncology · doi:10.3389/fonc.2026.1742943
Precision Oncology at a Crossroads: How Organoid Platforms Are Reshaping the Field
Lee, S., Kim, A., Kim, R. H., You, S., Kim, H. S., Chung, S. H., Lee, S., Kim, I. K., Yahng, S., & Kim, H. J. (2026) · Organoids · doi:10.3390/organoids5020016
Self-citationSi, W., Zhou, J., & Jiang, M. (2026) · Frontiers in Oncology · doi:10.3389/fonc.2026.1864153 · Cited by 1
Wang, X. W., Wang, Y., Wang, C., Zhang, T., Yang, S., & Liang, G. (2026) · Respiratory Research · doi:10.1186/s12931-026-03777-1
Self-citationAlveolar organoids: from model systems to applications in respiratory diseases
Xing, Y., Yang, L., Cao, Z., Wang, D., & Ye, H. (2026) · Journal of Translational Medicine · doi:10.1186/s12967-026-08616-x
Zhang, C., Liu, L., Deng, R., Lv, J., Mei, C., Zhang, W., Yang, L., Yang, F., Yang, R., & Cun, Y. (2026) · Translational Oncology · doi:10.1016/j.tranon.2026.102951
Li, C., Cui, Z., Sun, W., Liu, W., Deng, S., Cao, J., Cao, X., Wang, X., Chen, P., & Yang, H. (2026) · Phytomedicine · doi:10.1016/j.phymed.2026.158690
The neuro–immune–vascular landscape of lung cancer brain metastasis: insights from organoid models
Li, J., Xu, M., Wang, L., & Yu, Y. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1886585
Gadelkarim, M., Elsayed, A., Abaza, T., Bahr, A. R., Elsayed, Y. A.-E., & Iqbal, O. (2026) · Clinical Cancer Bulletin · doi:10.1007/s44272-026-00067-1
Yang, Z., Liu, F., Sun, X., Sun, J., Liang, Y., Zhang, J., Wang, M., 李丰衣, Niu, H., Wei, Y., et al. (2026) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2026.122368
Liang, Z., Cheng, M., Song, Q., Zhou, M., Wang, Y., Jiang, M., Liu, S., Zhao, X., & Zhao, Y. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1935389
Lin, H., Wang, K., Chen, H., Tan, G., Zhu, J., Liu, H., & Yang, J. (2026) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2026.105659
Schaaf, C. R., Wajih, N., Hutchins, D. C., Edenhoffer, N. P., El-Derby, A. M., Abdulkhuseynova, S., Congress, Z., Miller, L. D., Hall, A. R., Votanopoulos, K. I., et al. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-16110-0.00027-3
Metadata
- Authors
- 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., Park, A.-Y., Lim, S. M., Heo, S. G., Kim, H., & Cho, B. C.
- Affiliations
- Yonsei University (KR)
- 3Interpark Bio Convergence Corp., Seoul, Korea.
- Corresponding author
- Heo, Seong Gu
- Kim, HyunKi
- Cho, Byoung Chul
- ORCID
- Venue
- Clinical Cancer Research
- Published
- 2021-06-03
- Volume
- 27
- Issue
- 15
- Pages
- 4397-4409
- ISSN
- 1078-0432 (ISSN-L)
- 1557-3265
- PMC
- PMC9401503
- OpenAlex
- W3164073476
- Cited by
- 151
- References
- 56
- Citations by year
- 2026: 26 · 2025: 35 · 2024: 39 · 2023: 28 · 2022: 19 · 2021: 4
- FWCI
- 14.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Clinical Cancer Research (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- YUHSpace (Yonsei University Medical Library) (submittedVersion, cc-by-nc-nd)
- Funders
- Interpark bio Convergence
- Ministry of Science and ICT, South Korea (2016R1A2B3016282)
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Health Sciences › Medicine › Oncology › Lung Cancer Research Studies
- Keywords
- patient-derived organoids, advanced lung adenocarcinoma, non-small cell lung cancer, targeted therapy response prediction, tyrosine kinase inhibitors, dabrafenib/trametinib, EGFR exon 19 deletion, afatinib, poziotinib, pralsetinib, RET fusion, translational oncology
- MeSH terms
- Adenocarcinoma of Lung, Antineoplastic Agents, Humans, Lung Neoplasms, Models, Biological, Neoplasm Staging, Organoids
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