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
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
Organoids: The current status and biomedical applications
Yang, S., Hu, H., Kung, H., Zou, R.-Q., Dai, Y.-S., Hu, Y.-F., Wang, T., Lv, T., Yu, J., & Li, F. (2023) · MedComm · doi:10.1002/mco2.274 · Cited by 300
Self-citationWang, H.-M., Zhang, C.-Y., Peng, K., Chen, Z.-X., Su, J., Li, Y., Li, W., Gao, Q.-Y., Zhang, S., Chen, Y., et al. (2023) · Cell Reports Medicine · doi:10.1016/j.xcrm.2022.100911 · Cited by 221
Functional precision oncology using patient-derived assays: bridging genotype and phenotype
van Renterghem, A. W. J., van de Haar, J., & Voest, E. E. (2023) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-023-00745-2 · Cited by 121
Tosca, E. M., Ronchi, D., Facciolo, D., & Magni, P. (2023) · Biomedicines · doi:10.3390/biomedicines11041058 · Cited by 95
Ebisudani, T., Hamamoto, J., Togasaki, K., Mitsuishi, A., Sugihara, K., Shinozaki, T., Fukushima, T., Kawasaki, K., Seino, T., Oda, M., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112212 · Cited by 81
3D tumor cultures for drug resistance and screening development in clinical applications
Peng, Z., Lv, X., Sun, H., Zhao, L., & Huang, S. (2025) · Molecular Cancer · doi:10.1186/s12943-025-02281-2 · Cited by 77
Tumor organoid biobank-new platform for medical research
Xie, X., Li, X., & Song, W. (2023) · Scientific Reports · doi:10.1038/s41598-023-29065-2 · Cited by 70
The role of organoids in cancer research
Fang, Z., Li, P., Du, F., Shang, L., & Li, L. (2023) · Experimental Hematology and Oncology · doi:10.1186/s40164-023-00433-y · Cited by 68
Jin, J., Wu, Y., Zhao, Z., Wu, Y., Zhou, Y.-D., Liu, S., Sun, Q., Yang, G., Lin, J., Nagle, D. G., et al. (2022) · JCI Insight · doi:10.1172/jci.insight.160606 · Cited by 57
“PDO have become an effective clini-cal-related model for predicting the drug responses, and they retain the morphological and characteristics of human primary tumors (38–40).”
The future of tumor organoids in precision therapy
Kim, S., van de Wetering, M., Clevers, H. C., & Sanders, K. (2025) · Trends in cancer · doi:10.1016/j.trecan.2025.03.005 · Cited by 62
Self-citationCancer organoids: A platform in basic and translational research
Ma, X., Wang, Q. L., Li, G., Li, H., Xu, S., & Pang, D. (2023) · Genes & Diseases · doi:10.1016/j.gendis.2023.02.052 · Cited by 62
Rapid tissue prototyping with micro-organospheres
Wang, Z., Boretto, M., Millen, R., Natesh, N. R., Reckzeh, E. S., Hsu, C., Negrete, M., Yao, H., Quayle, W. B., Heaton, B. E., et al. (2022) · Stem Cell Reports · doi:10.1016/j.stemcr.2022.07.016 · Cited by 56
Oh, S. Y., Lee, Y. W., Lee, E. J., Kim, J. H., Park, Y., Heo, S. G., Yu, M. R., Hong, M. H., DaSilva, J. O., Daly, C., et al. (2022) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-22-2180 · Cited by 51
Self-citationvan Rosenburgh, I. K. V. A., Lu, D. M., Grant, M. J., Stayrook, S. E., Phadke, M. A., Walther, Z., Goldberg, S. B., Politi, K. A., Lemmon, M. A., Ashtekar, K. D., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34398-z · Cited by 53
The application of patient-derived organoid in the research of lung cancer
Li, Y., Gao, X., Ni, C., Zhao, B. T., & Cheng, X. (2023) · Cellular Oncology · doi:10.1007/s13402-023-00771-3 · Cited by 41
Lung cancer organoids, a promising model still with long way to go
Ma, H., Zhu, Y.-J., Zhou, R., Yu, Y., Xiao, Z., & Zhang, H.-B. (2022) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2022.103610 · Cited by 41
The role of macrophages in non-small cell lung cancer and advancements in 3D co-cultures
Balážová, K., Clevers, H. C., & Dost, A. F. M. (2023) · eLife · doi:10.7554/elife.82998 · Cited by 39
Development of lung tissue models and their applications
Petpiroon, N., Netkueakul, W., Sukrak, K., Wang, C., Liang, Y. T., Wang, M., Liu, Y., Li, Q., Kamran, R., Naruse, K., et al. (2023) · Life Sciences · doi:10.1016/j.lfs.2023.122208 · Cited by 40
Zeng, X., Ma, Q., Li, X., You, L., Li, J., Fu, X., You, F., & Ren, Y. (2023) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2023.1205157 · Cited by 36
Gao, J., Lan, J., Liao, H., Yang, F., Qiu, P., Jin, F., Wang, S., Shen, L., Chao, T., Zhang, C., et al. (2023) · BMC Cancer · doi:10.1186/s12885-023-11434-9 · Cited by 37
Cryobiopsy: A Breakthrough Strategy for Clinical Utilization of Lung Cancer Organoids
Park, D., Lee, D., Kim, Y., Park, Y., Lee, Y.-J., Lee, J. E., Yeo, M., Kang, M., Chong, Y., Han, S. J., et al. (2023) · Cells · doi:10.3390/cells12141854 · Cited by 30
Self-citationKalla, J., Pfneissl, J., Mair, T., Tran, L., & Egger, G. (2024) · Cellular Oncology · doi:10.1007/s13402-024-00960-8 · Cited by 31
Comparison of sampling methods for next generation sequencing for patients with lung cancer
Kunimasa, K., Matsumoto, S., Nishino, K., Honma, K., Maeda, N., Kuhara, H., Tamiya, M., Inoue, T., Kawamura, T., Kimura, T., et al. (2022) · Cancer Medicine · doi:10.1002/cam4.4632 · Cited by 29
3D cell culture models in research: applications to lung cancer pharmacology
Vella, N., Fenech, A. G., & Magri, V. P. (2024) · Frontiers in Pharmacology · doi:10.3389/fphar.2024.1438067 · Cited by 29
Kim, C. G., Kim, M. H., Kim, J. H., Kim, S., Kim, G. M., Kim, T. Y., Ryu, W., Kim, J. Y., Park, H. S., Park, S., et al. (2023) · Breast Cancer Research · doi:10.1186/s13058-022-01601-4 · Cited by 24
Self-citationScientific Validation and Clinical Application of Lung Cancer Organoids
Lee, D., Kim, Y., & Chung, C. (2021) · Cells · doi:10.3390/cells10113012 · Cited by 25
Chen, J., & Na, F. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.1066869 · Cited by 25
Cell Culture Model Evolution and Its Impact on Improving Therapy Efficiency in Lung Cancer
Roman, V., Mihaila, M. A., Radu, N., Marineata, S., Diaconu, C. C., & Bostan, M. (2023) · Cancers · doi:10.3390/cancers15204996 · Cited by 26
Lee, S., 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) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-023-02899-4 · Cited by 25
Self-citationTaverna, J. A., Hung, C., Williams, M. H., Williams, R., Chen, M., Kamali, S., Sambandam, V., Chiu, C. H.-L., Osmulski, P. A., Gaczynska, M. E., et al. (2023) · Lung Cancer · doi:10.1016/j.lungcan.2024.107533 · Cited by 26
The Patient-Derived Cancer Organoids: Promises and Challenges as Platforms for Cancer Discovery
Bae, J., Choi, Y. S., Cho, G., & Jang, S. J. (2022) · Cancers · doi:10.3390/cancers14092144 · Cited by 27
Lim, S. M., Schalm, S. S., Lee, E. J., Park, S., Conti, C., Millet, Y. A., Woessner, R., Zhang, Z., Tavera-Mendoza, L. E., Stevison, F., et al. (2024) · Therapeutic Advances in Medical Oncology · doi:10.1177/17588359241280689 · Cited by 26
Self-citationPaola, F. J. D., Calafato, G., Piccaluga, P. P., Tallini, G., & Rhoden, K. J. (2025) · Journal of Personalized Medicine · doi:10.3390/jpm15080394 · Cited by 25
Lung Cancer Organoids: The Rough Path to Personalized Medicine
Rossi, R., Angelis, M. L. D., Xhelili, E., Sette, G., Eramo, A., Maria, R. D., Incani, U. C., Francescangeli, F., & Zeuner, A. (2022) · Cancers · doi:10.3390/cancers14153703 · Cited by 27
Patient-Derived Organoids: A Game-Changer in Personalized Cancer Medicine
Abbasian, M. H., Sobhani, N., Sisakht, M. M., D’Angelo, A., Sirico, M., & Roudi, R. (2024) · Stem Cell Reviews and Reports · doi:10.1007/s12015-024-10805-4 · Cited by 28
Basal-shift transformation leads to EGFR therapy-resistance in human lung adenocarcinoma
Shinozaki, T., Togasaki, K., Hamamoto, J., Mitsuishi, A., Fukushima, T., Sugihara, K., Ebisudani, T., Okada, M., Saito, A., Shigematsu, L., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-59623-3 · Cited by 26
Use and application of organ-on-a-chip platforms in cancer research
Yu, Y., Zhou, T., & Cao, L.-L. (2023) · Journal of Cell Communication and Signaling · doi:10.1007/s12079-023-00790-7 · Cited by 28
Bai, Z., Guo, Z., Liu, J., Chen, Y.-A., Lü, Q., Zhang, P., Hong, L., Wang, Y., & Dong, J. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.860339 · Cited by 21
Lost in translation: Revisiting the use of tyrosine kinase inhibitors in colorectal cancer
Iyer, K. K., van Erp, N. P., Tauriello, D. V. F., Verheul, H. M. W., & Poel, D. (2022) · Cancer Treatment Reviews · doi:10.1016/j.ctrv.2022.102466 · Cited by 20
Lee, E. J., Oh, S. Y., Lee, Y. W., Kim, J. Y., Kim, M.-J., Kim, T. H., Lee, J. B., Hong, M. H., Lim, S. M., Baum, A., et al. (2024) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-23-2951 · Cited by 21
Self-citationAddressing Key Questions in Organoid Models: Who, Where, How, and Why?
Gómez‐Álvarez, M., Agustina‐Hernández, M., Francés‐Herrero, E., Rodríguez‐Eguren, A., Bueno-Fernández, C., & Cervelló, I. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242116014 · Cited by 18
Bozym, D. J., Zheng, D. X., Revach, O., Aref, A. R., & Jenkins, R. W. (2025) · Lab on a Chip · doi:10.1039/d5lc00062a · Cited by 20
Advances in the Lung Cancer Immunotherapy Approaches
Padinharayil, H., Alappat, R. R., Joy, L. M., Anilkumar, K. V., Wilson, C. M., George, A., Gopalakrishnan, A. V., Madhyastha, H., Ramesh, T., Sathiyamoorthi, E., et al. (2022) · Vaccines · doi:10.3390/vaccines10111963 · Cited by 18
Self-citationOrganoid models in oncology: advancing precision cancer therapy and vaccine development
Xiao, Y., Li, Y., Jing, X., Weng, L., Liu, X., Liu, Q., & Chen, K. (2025) · Cancer Biology and Medicine · doi:10.20892/j.issn.2095-3941.2025.0127 · Cited by 20
Organoids in lung cancer: A teenager with infinite growth potential
Xu, Y., Xin, W., Yan, C., Shi, Y., Li, Y., Hu, Y., & Ying, K. (2022) · Lung Cancer · doi:10.1016/j.lungcan.2022.08.006 · Cited by 14
Picca, F., Giannotta, C., Tao, J., Giordanengo, L., Munir, H., Botta, V., Merlini, A., Mogavero, A., Garbo, E., Poletto, S., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms251910823 · Cited by 16
Patient-derived organoids as a model for tumor research
Wang, J., Feng, X., Li, Z., Chen, Y., & Huang, W. (2022) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2022.03.004 · Cited by 15
Lung cancer organoids: models for preclinical research and precision medicine
Liu, Y., Zhou, Y., & Chen, P. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1293441 · Cited by 14
Organoid drug profiling identifies methotrexate as a therapy for SCCOHT, a rare pediatric cancer
Kim, S., de Weert, T. A. E., Vermeulen, M. A., Ringnalda, F. C. A. S., Kester, L. A., Zsíros, J., Eising, S., Molenaar, J. J., Sanders, K., van de Wetering, M., et al. (2025) · Science Advances · doi:10.1126/sciadv.adq1724 · Cited by 15
Self-citationPreclinical models for development of immune–oncology therapies
Wang, Y., Shelton, S. E., Kastrunes, G. M., Barbie, D. A., Freeman, G. J., & Marasco, W. A. (2022) · Immuno Oncology Insights · doi:10.18609/ioi.2022.41 · Cited by 14
Zhang, Y., Lu, A., Zhuang, Z., Zhang, S., Liu, S., Chen, H., Yang, X., & Wang, Z. (2023) · International Journal of Nanomedicine · doi:10.2147/ijn.s424737 · Cited by 14
Open questions in human lung organoid research
Hughes, T., Dijkstra, K. K., Rawlins, E. L., & Hynds, R. E. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.1083017 · Cited by 13
Zhang, S., Zhang, C., Chen, Y., Li, Y., Xie, Z., Zhang, X., Zhou, Q. H., Zhong, W., Huang, J., Sun, H. X., et al. (2023) · Journal of Thoracic Disease · doi:10.21037/jtd-23-161 · Cited by 12
Bokhout, L., Campeiro, J. D., & Dalm, S. U. (2025) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-025-07123-3 · Cited by 13
Cancer patient-derived organoids: Novel models for the study of natural products
Liu, S., Zhang, R., Liu, Y., Lin, X., & Chen, J. (2025) · International Journal of Biological Sciences · doi:10.7150/ijbs.114373 · Cited by 14
A systematic review of patient-derived tumor organoids generation from malignant effusions
Seghers, S., Compte, M. L., Hendriks, J. M. H., Schil, P. E. V., Janssens, A., Wener, R. R. L., Komen, N., Prenen, H., & Deben, C. (2024) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2024.104285 · Cited by 12
Exploring tumor organoids for cancer treatment
Jin, H., Yang, Q., Yang, J., Wang, F., Feng, J., Lei, L., & Dai, M. (2024) · APL Materials · doi:10.1063/5.0216185 · Cited by 11
Xie, S., Li, Y., Mai, L., Gao, X., Huang, G., Sun, W., Qiao, L., Li, B., Wang, Y., & Lin, Z. (2024) · Cancer Letters · doi:10.1016/j.canlet.2024.217230 · Cited by 13
Oh, S. Y., Park, S., Lee, S.-Y., Lee, E. J., Kim, T. H., Choi, S., Park, S. Y., Kim, J. H., Lim, S. M., Lee, J. B., et al. (2025) · Cell Reports Medicine · doi:10.1016/j.xcrm.2025.101929 · Cited by 12
Self-citationWang, J., Sui, Z., Huang, W., Yu, Z., & Guo, L. (2024) · Bioactive Materials · doi:10.1016/j.bioactmat.2024.04.035 · Cited by 13
Pan, Y., Cui, H., & Song, Y. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1109274 · Cited by 10
Jin, G., Ma, M., Yang, C., Zhen, L., & Feng, M. (2023) · Thoracic Cancer · doi:10.1111/1759-7714.15034 · Cited by 9
Preclinical Models for Functional Precision Lung Cancer Research
Zeng, J., Kiss, Z., Ma, W., Liang, R., & Li, T. (2024) · Cancers · doi:10.3390/cancers17010022 · Cited by 10
Chen, Y., Zhang, J., Zhang, B., Lee, H. K., Xie, S., Shen, W., Chen, X., You, M., Shen, C., Xia, B., et al. (2025) · Biology Methods and Protocols · doi:10.1093/biomethods/bpaf012 · Cited by 9
Taş, İ., Jacobs, R., Albrecht, J., Barrientos, S. A., Aberg, J., Sime, W., Brunnström, H., Persson, H., Kazi, J. U., & Massoumi, R. (2025) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-025-03385-9 · Cited by 9
Female Reproductive Tract Organoids: Applications from Physiology to Pathology
Wang, X., Yang, D., & Peng, H. (2025) · Biomolecules · doi:10.3390/biom15070925 · Cited by 10
Hong, C.-E., & Lyu, S. (2025) · Pharmaceutics · doi:10.3390/pharmaceutics17101258 · Cited by 8
Koga, T., Soh, J., Hamada, A., Miyano, Y., Fujino, T., Obata, K., Ohara, S., Nishino, M., Chiba, M., Shimoji, M., et al. (2023) · JTO Clinical and Research Reports · doi:10.1016/j.jtocrr.2023.100554 · Cited by 8
Bridging the gap: how patient-derived lung cancer organoids are transforming personalized medicine
Liu, C., Shi, C., Wang, S., Qi, R., Gu, W., Yu, F., Zhang, G., & Qiu, F. X. (2025) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2025.1554268 · Cited by 10
Establishment of Human Lung Cancer Organoids Using Small Biopsy and Surgical Tissues
Hwang, M., Choe, J., Shin, Y. J., Seo, B., Park, K.-M., Shin, S. H., Jhun, B. W., Yoo, H., Jeong, B., Jeon, K., et al. (2025) · Cancers · doi:10.3390/cancers17142291 · Cited by 7
Self-citationOrganoid-based precision cancer modeling: New frontier in lung cancer research
Terai, H., Yasuda, H., & Sato, T. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.116595 · Cited by 9
Applied models and molecular characteristics of small cell lung cancer
Fűr, G. M., Nemes, K., Magó, É., Benő, A., Topolcsányi, P., Moldvay, J., & Pongor, L. S. (2024) · Pathology & Oncology Research · doi:10.3389/pore.2024.1611743 · Cited by 7
Zheng, M., Qu, J., Xiang, D., & Xing, L. (2024) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2024.189235 · Cited by 9
Recent advances in lung cancer organoid (tumoroid) research (Review)
Zhang, Q., & Zhang, M. (2024) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2024.12672 · Cited by 8
Ma, J., Li, S., Zhang, X., Zhao, P., Zhao, B., Yue, J., Han, L. K., Bai, J., Zhao, Z., & Zhang, Y. (2025) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2025.104840 · Cited by 6
Organoid for Air Pollution Toxicity Assessment: Advances and Environmental Applicability
Jia, Y., Wu, D., Xiu, C., Ye, Z., & Li, Q. X. (2025) · Environment & Health · doi:10.1021/envhealth.5c00141 · Cited by 8
Spiró, Z., Amin, E.-H., Mair, M. J., Pieber, T. R., Prietl, B., Spiegl‐Kreinecker, S., Stanzer, S., Wöhrer, A., Preusser, M., & Berghoff, A. S. (2025) · Cancer Treatment Reviews · doi:10.1016/j.ctrv.2025.103072 · Cited by 7
Roh, T. T., Alex, A., Chandramouleeswaran, P. M., Sorrells, J. E., Ho, A., Iyer, R. R., Spillman, D. R., Marjanović, M., Ekert, J. E., Sridharan, B., et al. (2024) · Redox Biology · doi:10.1016/j.redox.2024.103280 · Cited by 6
Ismail, L., Zahid, K., Polyanskaya, A., Othman, A. A., Shen, N., Qi, X., Sulimanov, R. A., Esakov, Y., Makarov, V. A., Filkov, G. I., et al. (2025) · Research in Pharmaceutical Sciences · doi:10.4103/rps.rps_233_24 · Cited by 5
Promising preclinical models for lung cancer research—lung cancer organoids: a narrative review
Chen, X., Li, Y., Wang, H., Liu, X., Zhao, L., Xu, K., Liu, Y., & He, Y. (2024) · Translational Lung Cancer Research · doi:10.21037/tlcr-23-341 · Cited by 7
Anticipating EGFR Targeting in Early Stages of Lung Cancer: Leave No Stone Unturned
Belluomini, L., Riva, S. T., Simbolo, M., Nocini, R., Trestini, I., Avancini, A., Tregnago, D., Ferrara, M. G., Caldart, A., Dodi, A., et al. (2021) · Cells · doi:10.3390/cells10102685 · Cited by 5
Patient-derived organoids in non-small cell lung cancer: advances in drug sensitivity testing
Tang, W., & Tian, X. (2026) · Frontiers in Pharmacology · doi:10.3389/fphar.2025.1639268 · Cited by 4
Review on Advanced Cancer Modeling for a Cancer Study
Cho, Y. (2022) · Current Issues in Molecular Biology · doi:10.3390/cimb44110362 · Cited by 4
Park, J., Qiu, M., Cho, E. J., Seo, S., Moon, J.-H., Kim, M. U., Mun, H., Yun, H., Park, H., 임아림, et al. (2026) · Cell Reports Medicine · doi:10.1016/j.xcrm.2026.102850 · Cited by 5
Self-citationApplications and perspectives of tumor organoids in radiobiology (Review)
Jin, Y., Wang, K., Tang, Y., & Zheng, D. (2024) · Oncology Reports · doi:10.3892/or.2024.8759 · Cited by 5
Lee, S., Lee, E., Ryu, J.-O., Kim, K., Hwang, Y., Ku, B., Moon, S. W., Moon, M. H., Kim, K. S., Hyun, K., et al. (2024) · Biofabrication · doi:10.1088/1758-5090/ad68a7 · Cited by 4
Self-citationSelection of the Most Suitable Culture Medium for Patient-Derived Lung Cancer Organoids
Acosta-Plasencia, M., He, Y., Martı́nez, D., Orozco, J. P., Carrasco, A., Altuna-Coy, A., Yang, T., Díaz, T., Molins, L., Ramos, R., et al. (2024) · Cells Tissues Organs · doi:10.1159/000541274 · Cited by 5
Patient-Derived Organoids as a Stem Cell Model to Study Lung Cancer
Acosta-Plasencia, M., Castellano, J. J., Taylor, A. M., He, Y., Martı́nez, D., Monzó, M., Marrades, R. M., & Navarro, A. (2022) · Interdisciplinary cancer research · doi:10.1007/16833_2022_78 · Cited by 4
Yin, Z., Ma, L., Tian, X., Sun, Q., Zhang, C., Wang, Y., Miao, Y., Xue, X., Wang, Y., Wang, J., et al. (2024) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2024.107783 · Cited by 3
Kim, Y., Park, D., Lee, D. H., & Chung, C. (2025) · Experimental Cell Research · doi:10.1016/j.yexcr.2025.114642 · Cited by 3
Tumor Immune Engineering: Developing In Vitro Assays to Understand the Tumor–Immune Crosstalk
Iyer, R. N., Vartak, M., & Dey, T. (2025) · Advanced Biology · doi:10.1002/adbi.202400735 · Cited by 3
Approaches to modeling cancer metastasis: from bench to bedside
Sun, L., Zhou, Y., Yin, M., Wang, F., & Yang, L. (2025) · Frontiers in Oncology · doi:10.3389/fonc.2025.1602489 · Cited by 3
Huang, Y., Pang, L., Lao, J., Deng, P., Hao, F., Xu, C., Yang, L., & Fang, W. (2025) · ESMO Open · doi:10.1016/j.esmoop.2025.105558 · Cited by 3
Deconstructing cancer in 3D: models, mechanisms, and personalized solutions
Huang, Z., Duan, X., Ji, J., Cai, Q., Jin, P., Yu, B., & (48506), J. Z. (2026) · Molecular Cancer · doi:10.1186/s12943-026-02704-8 · Cited by 5
Brain metastasis organoids: A systematic review of their methods and clinical application
Chen, J., Airth, A., Campbell, B., Blanco, I. J., Voutier, C. R., Stylli, S. S., Hovens, C. M., & Dimou, J. (2025) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2025.111401 · Cited by 3
Zhu, Q., Jiang, M., Li, W., Sun, S., Li, J., Stebbing, J., Liang, X., & Peng, L. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.912426 · Cited by 3
Dong, H., Vizeacoumar, F. S., Zhang, Y., Jette, N., Price, J. D. W., Maranda, V., Gong, L., Freywald, T., Vizeacoumar, J. P., Lazell-Wright, M., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.01.691211 · Cited by 3
Espinoza, A. S., McVicar, R. N., Finlay, D., Murad, R., Vuori, K., Grimmig, B. A., Bush, A., Smith, E., Mandel-Clausen, T., McGee, H. M., et al. (2025) · Heliyon · doi:10.1016/j.heliyon.2025.e42977 · Cited by 2
Patel, G., & Amin, H. (2026) · Stem Cell Reviews and Reports · doi:10.1007/s12015-026-11096-7 · Cited by 2
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