The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Retaining cell–cell contact enables preparation and culture of spheroids composed of pure primary cancer cells from colorectal cancer
Open accessAbstract
Primary culture of the cancer cells from patients’ tumors can provide crucial information of individual tumors, yet the technology has not been optimized until now. We developed an innovative culture method for primary colorectal cancer cells, based on the principle that cell–cell contact of cancer cells was maintained throughout the process. When tumor tissue was dissociated into cell clusters, in which cell–cell contact was retained, they rapidly formed spheroids that we termed cancer tissue-originated spheroids (CTOSs). CTOSs of colorectal cancer consisted of highly purified and viable cancer cells, and they were prepared with high efficiency. In immunodeficient mice, CTOSs formed xenograft tumors that retained the features of the parental tumors. Moreover, CTOSs were able to be cultured and expanded in vitro using a 3D culture system and stem cell culture medium. This method allowed evaluation of chemosensitivity and signal pathway activation in cancer cells from individual patients. Easy preparation and culture of pure primary cancer cells provides an innovative platform for studying cancer biology and developing personalized medicine.
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 cited source says what the claim attributes to it.
In the citing paper
“While many studies on 3D cultures used established cancer cell lines, more recently, the use of patient-derived primary tumor cells in 3D cultures has been reported. 68,69”
From Three-dimensional cell culture systems and their applications in drug discovery and cell-based biosensors (2014) · cites this paper as [68]
The cited source says what the claim attributes to it.
In the citing paper
“A research team from Osaka Medical Center for Cancer and Cardiovacular Disease in Japan reported a successful method for 3D culture of patient-derived colorectal cancer cells 68 and the use of such 3D culture for the evaluation of chemosensitivity and signal pathway activation in cancer cells from individual patients.”
From Three-dimensional cell culture systems and their applications in drug discovery and cell-based biosensors (2014) · cites this paper as [68]
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
Identification of programmed cell death in situ via specific labeling of nuclear DNA fragmentation.
Gavrieli, Y., Sherman, Y., & Ben-Sasson, S. A. (1992) · The Journal of cell biology · doi:10.1083/jcb.119.3.493 · Cited by 9,444
Shapiro, A. M. J., Lakey, J. R. T., Ryan, E. A., Korbutt, G. S., Toth, E., Warnock, G. L., Kneteman, N. M., & Rajotte, R. V. (2000) · New England Journal of Medicine · doi:10.1056/nejm200007273430401 · Cited by 5,237
A human colon cancer cell capable of initiating tumour growth in immunodeficient mice
O'Brien, C. A., Pollett, A. F., Gallinger, S., & Dick, J. E. (2006) · Nature · doi:10.1038/nature05372 · Cited by 4,174
Identification and expansion of human colon-cancer-initiating cells
Ricci‐Vitiani, L., Lombardi, D. G., Pilozzi, E., Biffoni, M., Todaro, M., Peschle, C., & Maria, R. D. (2006) · Nature · doi:10.1038/nature05384 · Cited by 4,001
Disruption of epithelial cell-matrix interactions induces apoptosis
Frisch, S., & Francis, H. (1994) · The Journal of Cell Biology · doi:10.1083/jcb.124.4.619 · Cited by 3,276
The NCI60 human tumour cell line anticancer drug screen
Shoemaker, R. H. (2006) · Nature reviews. Cancer · doi:10.1038/nrc1951 · Cited by 2,673
Lee, J., Kotliarova, S. E., Kotliarov, Y., Li, A., Su, Q., Donin, N. M., Pastorino, S., Purow, B. W., Christopher, N., Zhang, W., et al. (2006) · Cancer Cell · doi:10.1016/j.ccr.2006.03.030 · Cited by 2,345
Exploiting the PI3K/AKT Pathway for Cancer Drug Discovery
Hennessy, B. T., Smith, D. L., Ram, P. T., Lu, Y., & Mills, G. B. (2005) · Nature Reviews Drug Discovery · doi:10.1038/nrd1902 · Cited by 2,214
Spheroid-based drug screen: Considerations and practical approach
Friedrich, J., Seidel, C., Ebner, R., & Kunz-Schughart, L. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.226 · Cited by 1,742
The MAPK signalling pathways and colorectal cancer
Fang, J. Y., & Richardson, B. C. (2005) · The Lancet Oncology · doi:10.1016/s1470-2045(05)70168-6 · Cited by 1,185
Research works printed but not linked: 1
- 10.1290/1543-706X(2003)039<0063:EFTIGA>2.0.CO;2 · DOI
Cited by
Sorted by citations
Edmondson, R., Broglie, J. J., Adcock, A. F., & Yang, L. (2014) · ASSAY and Drug Development Technologies · doi:10.1089/adt.2014.573 · Cited by 2,515
Drost, J., & Clevers, H. (2018) · Nature Reviews Cancer · doi:10.1038/s41568-018-0007-6 · Cited by 1,790
Patient-Derived Xenograft Models: An Emerging Platform for Translational Cancer Research
Hidalgo, M. M., Amant, F. C., Biankin, A. V., Budínská, E., Byrne, A. T., Caldas, C., Clarke, R. B., de Jong, S., Jonkers, J., Mælandsmo, G. M., et al. (2014) · Cancer Discovery · doi:10.1158/2159-8290.cd-14-0001 · Cited by 1,797
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
Cheung, K. J., Padmanaban, V., Silvestri, V. L., Schipper, K., Cohen, J. D., Fairchild, A. N., Gorin, M. A., Verdone, J. E., Pienta, K. J., Bader, J. S., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1508541113 · Cited by 757
Patient-Derived Tumor Xenografts: Transforming Clinical Samples into Mouse Models
Siolas, D., & Hannon, G. J. (2013) · Cancer Research · doi:10.1158/0008-5472.can-13-1069 · Cited by 672
3D Cell Culture Systems: Tumor Application, Advantages, and Disadvantages
Habanjar, O., Diab‐Assaf, M., Caldefie‐Chezet, F., & Delort, L. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222212200 · Cited by 590
Tumor-derived spheroids: Relevance to cancer stem cells and clinical applications
Ishiguro, T., Ohata, H., Sato, A., Yamawaki, K., Enomoto, T., & Okamoto, K. (2017) · Cancer Science · doi:10.1111/cas.13155 · Cited by 530
Schulte, M. L., Fu, A., Zhao, P., Li, J., Geng, L., Smith, S. T., Kondo, J., Coffey, R. J., Johnson, M. O., Rathmell, J. C., et al. (2018) · Nature Medicine · doi:10.1038/nm.4464 · Cited by 494
Self-citationOrganoid Models of Human Liver Cancers Derived from Tumor Needle Biopsies
Nuciforo, S., Fofana, I., Matter, M. S., Blumer, T., Calabrese, D., Boldanova, T., Piscuoglio, S., Wieland, S., Ringnalda, F., Schwank, G., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.07.001 · Cited by 473
“We avoided complete digestion into single cells because it has been reported that preservation of cell-cell contacts enhances derivation efficiency (Kondo et al., 2011).”
Single luminal epithelial progenitors can generate prostate organoids in culture
Chua, C. W., Shibata, M., Lei, M., Toivanen, R., Barlow, L. J., Bergren, S. K., Badani, K. K., McKiernan, J. M., Benson, M. C., Hibshoosh, H. H., et al. (2014) · Nature Cell Biology · doi:10.1038/ncb3047 · Cited by 361
Hydrogel microenvironments for cancer spheroid growth and drug screening
Li, Y., & Kumacheva, E. (2018) · Science Advances · doi:10.1126/sciadv.aas8998 · Cited by 356
In vitro three‐dimensional (3D) models in cancer research: An update
Kimlin, L., Casagrande, G. M. S., & Virador, V. M. (2011) · Molecular Carcinogenesis · doi:10.1002/mc.21844 · Cited by 355
Microenvironmental Determinants of Pancreatic Cancer
Heßmann, E., Buchholz, S., Demir, İ. E., Singh, S. K., Gress, T. M., Ellenrieder, V., & Neeße, A. (2020) · Physiological Reviews · doi:10.1152/physrev.00042.2019 · Cited by 336
Wen, Y., Xing, X., Harris, J. W., Zaytseva, Y. Y., Mitov, M. I., Napier, D. L., Weiss, H. L., Evers, B. M., & Gao, T. (2017) · Cell Death and Disease · doi:10.1038/cddis.2017.21 · Cited by 299
Lung cancer organoids analyzed on microwell arrays predict drug responses of patients within a week
Hu, Y., Sui, X., Song, F., Li, Y., Li, K., Chen, Z., Yang, F., Chen, X., Zhang, Y., Wang, X., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22676-1 · Cited by 272
Microtechnology-based methods for organoid models
Velasco, V., Shariati, S. A., & Esfandyarpour, R. (2020) · Microsystems & Nanoengineering · doi:10.1038/s41378-020-00185-3 · Cited by 266
Application of Cancer Organoid Model for Drug Screening and Personalized Therapy
Kondo, J., & Inoue, M. (2019) · Cells · doi:10.3390/cells8050470 · Cited by 232
Self-citationModeling Pancreatic Cancer with Organoids
Baker, L. A., Tiriac, H., Clevers, H. C., & Tuveson, D. A. (2016) · Trends in cancer · doi:10.1016/j.trecan.2016.03.004 · Cited by 227
CKAP4 is a Dickkopf1 receptor and is involved in tumor progression
Kimura, H., Fumoto, K., Shojima, K., Nojima, S., Osugi, Y., Tomihara, H., Eguchi, H., Shintani, Y., Endo, H., Inoue, M., et al. (2016) · Journal of Clinical Investigation · doi:10.1172/jci84658 · Cited by 194
Self-citationMicro-dissected tumor tissues on chip: an ex vivo method for drug testing and personalized therapy
Astolfi, M., Péant, B., Lateef, M. A., Rousset, N., Kendall-Dupont, J., Carmona, E., Monet, F., Saad, F., Provencher, D., Mes-Masson, A.-M., et al. (2016) · Lab on a Chip · doi:10.1039/c5lc01108f · Cited by 182
Endo, H., & Inoue, M. (2018) · Cancer Science · doi:10.1111/cas.13917 · Cited by 183
Self-citation3D Tumor Models and Their Use for the Testing of Immunotherapies
Boucherit, N., Gorvel, L., & Olive, D. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.603640 · Cited by 188
Efficient Use of Patient-Derived Organoids as a Preclinical Model for Gynecologic Tumors
Maru, Y., Tanaka, N., Itami, M., & Hippo, Y. (2019) · Gynecologic Oncology · doi:10.1016/j.ygyno.2019.05.005 · Cited by 162
Promising Applications of Tumor Spheroids and Organoids for Personalized Medicine
Gilazieva, Z., Ponomarev, A. S., Rutland, C. S., Rizvanov, A. A., & Solovyeva, V. V. (2020) · Cancers · doi:10.3390/cancers12102727 · Cited by 163
Understanding cell‐cell communication and signaling in the colorectal cancer microenvironment
AlMusawi, S., Ahmed, M., & Nateri, A. S. (2021) · Clinical and Translational Medicine · doi:10.1002/ctm2.308 · Cited by 153
Gut organoids: mini-tissues in culture to study intestinal physiology and disease
Almeqdadi, M., Mana, M., Roper, J., & Yilmaz, Ö. H. (2019) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00300.2017 · Cited by 160
Boehnke, K., Iversen, P. W., Schumacher, D., Lallena, M. J., Haro, R., Amat, J., Haybaeck, J., Liebs, S., Lange, M., Schäfer, R., et al. (2016) · SLAS DISCOVERY · doi:10.1177/1087057116650965 · Cited by 145
Tanaka, N., Osman, A. A., Takahashi, Y., Lindemann, A., Patel, A. A., Zhao, M., Takahashi, H., & Myers, J. N. (2018) · Oral Oncology · doi:10.1016/j.oraloncology.2018.10.018 · Cited by 144
Zaytseva, Y. Y., Rychahou, P. G., Le, A.-T., Scott, T. L., Flight, R. M., Kim, J. T., Harris, J., Liu, J., Wang, C., Morris, A. J., et al. (2018) · Oncotarget · doi:10.18632/oncotarget.25361 · Cited by 123
High‐throughput screening in colorectal cancer tissue‐originated spheroids
Kondo, J., Ekawa, T., Endo, H., Yamazaki, K., Tanaka, N., Kukita, Y., Okuyama, H., Okami, J., Imamura, F., Ohue, M., et al. (2018) · Cancer Science · doi:10.1111/cas.13843 · Cited by 123
Self-citationRole of Microenvironment in Glioma Invasion: What We Learned from In Vitro Models
Manini, I., Caponnetto, F., Bartolini, A., Ius, T., Mariuzzi, L., Loreto, C. D., Beltrami, A. P., & Cesselli, D. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19010147 · Cited by 128
Fong, E. L. S., Wan, X., Yang, J., Morgado, M., Mikos, A. G., Harrington, D. A., Navone, N. M., & Farach‐Carson, M. C. (2015) · Biomaterials · doi:10.1016/j.biomaterials.2015.10.059 · Cited by 111
Glioblastoma stem cell differentiation into endothelial cells evidenced through live-cell imaging
Mei, X., Chen, Y.-S., Chen, F., Xi, S., & Chen, Z.-P. (2017) · Neuro-Oncology · doi:10.1093/neuonc/nox016 · Cited by 110
Spheroid Culture of Primary Lung Cancer Cells with Neuregulin 1/HER3 Pathway Activation
Endo, H., Okami, J., Okuyama, H., Kumagai, T., Uchida, J., Kondo, J., Takehara, T., Nishizawa, Y., Imamura, F., Higashiyama, M., et al. (2013) · Journal of Thoracic Oncology · doi:10.1097/jto.0b013e3182779ccf · Cited by 109
Self-citationNg, S., Tan, W. J., Pek, M. M. X., Tan, M.-H., & Kurisawa, M. (2019) · Biomaterials · doi:10.1016/j.biomaterials.2019.119400 · Cited by 105
Moreira, L., Bakir, B. S., Chatterji, P., Dantes, Z., Reichert, M., & Rustgi, A. K. (2017) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2017.12.004 · Cited by 112
Chen, J.-W. E., Pedrón, S., & Harley, B. A. C. (2017) · Macromolecular Bioscience · doi:10.1002/mabi.201700018 · Cited by 104
Yang, Y., Yang, X., Zou, J., Jia, C., Hu, Y., Du, H., & Wang, H. (2014) · Lab on a Chip · doi:10.1039/c4lc01065e · Cited by 102
Bertolini, G., D’Amico, L., Moro, M., Landoni, E., Perego, P., Miceli, R., Gatti, L., Andriani, F., Wong, D., Caserini, R., et al. (2015) · Cancer Research · doi:10.1158/0008-5472.can-14-3781 · Cited by 101
Hydrogel-Based 3D Model of Patient-Derived Prostate Xenograft Tumors Suitable for Drug Screening
Fong, E. L. S., Martinez, M., Yang, J., Mikos, A. G., Navone, N. M., Harrington, D. A., & Farach‐Carson, M. C. (2014) · Molecular Pharmaceutics · doi:10.1021/mp500085p · Cited by 93
Liquid-based three-dimensional tumor models for cancer research and drug discovery
Ham, S. L., Joshi, R., Thakuri, P. S., & Tavana, H. (2016) · Experimental Biology and Medicine · doi:10.1177/1535370216643772 · Cited by 91
Jeppesen, M., Hagel, G., Glenthøj, A. J., Vainer, B., Ibsen, P. H., Harling, H., Thastrup, M., Jørgensen, L. N., & Thastrup, J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0183074 · Cited by 92
Deptor Is a Novel Target of Wnt/β-Catenin/c-Myc and Contributes to Colorectal Cancer Cell Growth
Wang, Q., Zhou, Y., Rychahou, P. G., Harris, J. W., Zaytseva, Y. Y., Liu, J., Wang, C., Weiss, H. L., Liu, C., Lee, E. Y., et al. (2018) · Cancer Research · doi:10.1158/0008-5472.can-17-3107 · Cited by 95
Tissue-engineered models of human tumors for cancer research
Villasante, A., & Vunjak‐Novakovic, G. (2015) · Expert Opinion on Drug Discovery · doi:10.1517/17460441.2015.1009442 · Cited by 96
Supramolecular Nanofibrillar Thermoreversible Hydrogel for Growth and Release of Cancer Spheroids
Li, Y., Khuu, N., Gevorkian, A., Sarjinsky, S., Thérien‐Aubin, H., Wang, Y., Cho, S., & Kumacheva, E. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201610353 · Cited by 91
Current Status of Patient-Derived Ovarian Cancer Models
Maru, Y., & Hippo, Y. (2019) · Cells · doi:10.3390/cells8050505 · Cited by 92
Organoids as Models for Neoplastic Transformation
Neal, J. T., & Kuo, C. J. (2016) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathol-012615-044249 · Cited by 85
Establishment of patient-derived tumor spheroids for non-small cell lung cancer
Zhang, Z., Wang, H., Ding, Q., Xing, Y., Xu, Z., Lu, C., Luo, D., Xu, L., Xia, W., Zhou, C., et al. (2018) · PLOS ONE · doi:10.1371/journal.pone.0194016 · Cited by 84
A novel tissue engineered three-dimensional in vitro colorectal cancer model
Nyga, A., Loizidou, M., Emberton, M., & Cheema, U. (2013) · Acta Biomaterialia · doi:10.1016/j.actbio.2013.04.028 · Cited by 85
Integrated cancer tissue engineering models for precision medicine
Bregenzer, M. E., Horst, E. N., Mehta, P., Novak, C. M., Raghavan, S. A., Snyder, C. S., & Mehta, G. (2019) · PLoS ONE · doi:10.1371/journal.pone.0216564 · Cited by 84
Modelling the complex nature of the tumor microenvironment: 3D tumor spheroids as an evolving tool
Rodrigues, D. B., Reis, R. L., & Pirraco, R. P. (2024) · Journal of Biomedical Science · doi:10.1186/s12929-024-00997-9 · Cited by 84
Takahashi, N., Hoshi, H., Higa, A., Hiyama, G., Tamura, H., Ogawa, M., Takagi, K., Goda, K., Okabe, N., Muto, S., et al. (2019) · Cells · doi:10.3390/cells8050481 · Cited by 75
Addressing Patient Specificity in the Engineering of Tumor Models
Bray, L. J., Hutmacher, D. W., & Bock, N. (2019) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2019.00217 · Cited by 79
Morgan, M. M., Johnson, B. P., Livingston, M. K., Schuler, L. A., Alarid, E. T., Sung, K. E., & Beebe, D. J. (2016) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2016.05.007 · Cited by 75
Studying cellular heterogeneity and drug sensitivity in colorectal cancer using organoid technology
Sasaki, N., & Clevers, H. C. (2018) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2018.09.001 · Cited by 75
Drug screening model meets cancer organoid technology
Liu, C., Qin, T., Huang, Y., Li, Y., Chen, G., & Sun, C. (2020) · Translational Oncology · doi:10.1016/j.tranon.2020.100840 · Cited by 75
Stadler, M., Walter, S., Walzl, A., Kramer, N., Unger, C., Scherzer, M., Unterleuthner, D., Hengstschläger, M., Krupitza, G., & Dolznig, H. (2015) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2015.08.007 · Cited by 73
Pereira, L. P., Silva, P., Duarte, M., Rodrigues, L. A., Duarte, C. M. M., Albuquerque, C. M., & Serra, T. (2017) · Nutrients · doi:10.3390/nu9040368 · Cited by 70
Yoshii, Y., Furukawa, T., Waki, A., Okuyama, H., Inoue, M., Itoh, M., Zhang, M.-R., Wakizaka, H., Sogawa, C., Kiyono, Y., et al. (2015) · Biomaterials · doi:10.1016/j.biomaterials.2015.02.008 · Cited by 67
Self-citationJafari, N., Drury, J., Morris, A. J., Onono, F. O., Stevens, P. D., Gao, T., Liu, J., Wang, C., Lee, E. Y., Weiss, H. L., et al. (2018) · Molecular Cancer Research · doi:10.1158/1541-7786.mcr-18-0199 · Cited by 69
Tian, J., Teuscher, K. B., Aho, E. R., Alvarado, J., Mills, J. J., Meyers, K. M., Gogliotti, R. D., Han, C., Macdonald, J. D., Sai, J., et al. (2019) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.9b01608 · Cited by 65
Self-citationDormancy of Cancer Cells with Suppression of AKT Activity Contributes to Survival in Chronic Hypoxia
Endo, H., Okuyama, H., Ohue, M., & Inoue, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098858 · Cited by 67
Self-citationQureshi-Baig, K., Ullmann, P., Rodriguez, F., Frasquilho, S., Nazarov, P. V., Haan, S., & Letellier, E. (2016) · PLoS ONE · doi:10.1371/journal.pone.0146052 · Cited by 62
Durinikova, E., Buzo, K., & Arena, S. (2021) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-021-01981-z · Cited by 61
Three-Dimensional 3D Culture Models in Gynecological and Breast Cancer Research
Salinas-Vera, Y. M., Valdés, J., Pérez‐Navarro, Y., Mandujano-Lázaro, G., Marchat, L. A., Ramos‐Payán, R., Núñez-Olvera, S. I., Pérez‐Plasencia, C., & López‐Camarillo, C. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.826113 · Cited by 74
Chen, L., Wei, X., Gu, D., Xu, Y., & Zhou, H. (2023) · Cancer Letters · doi:10.1016/j.canlet.2022.216048 · Cited by 63
De Angelis, M. L., Zeuner, A., Policicchio, E., Russo, G., Bruselles, A., Signore, M., Vitale, S., De Luca, G., Pilozzi, E., Boe, A., et al. (2016) · Stem Cells Translational Medicine · doi:10.5966/sctm.2015-0214 · Cited by 60
Gaebler, M., Silvestri, A., Haybaeck, J., Reichardt, P., Lowery, C. D., Stancato, L. F., Zybarth, G., & Regenbrecht, C. R. A. (2017) · Frontiers in Oncology · doi:10.3389/fonc.2017.00203 · Cited by 60
Investigations into the cancer stem cell niche using in-vitro 3-D tumor models and microfluidics
Sreepadmanabh, M., & Toley, B. J. (2018) · Biotechnology Advances · doi:10.1016/j.biotechadv.2018.03.009 · Cited by 58
Colorectal cancer-derived tumor spheroids retain the characteristics of original tumors
Lee, S. H., Hong, J. H., Park, H. K., Park, J. S., Kim, B., Lee, J.-Y., Jeong, J. Y., Yoon, G. S., Inoue, M., Choi, G., et al. (2015) · Cancer Letters · doi:10.1016/j.canlet.2015.06.024 · Cited by 55
Self-citationWeiswald, L., Richon, S., Massonnet, G., Jm, G., Vacher, S., Laurendeau, I., Cottu, P. H., Marangoni, E., Némati, F., Validire, P., et al. (2013) · British Journal of Cancer · doi:10.1038/bjc.2013.132 · Cited by 53
Kim, H. N., Habbit, N. L., Su, C., Choi, N., Ahn, E. H., Lipke, E. A., & Kim, D. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201807553 · Cited by 55
YING, J., Tsujii, M., Kondo, J., Hayashi, Y., Kato, M., Akasaka, T., INOUE, T., Shiraishi, E., INOUE, T., Hiyama, S., et al. (2015) · International Journal of Oncology · doi:10.3892/ijo.2015.2851 · Cited by 56
Self-citationHiraide, T., Ikegami, K., Sakaguchi, T., Morita, Y., Hayasaka, T., Masaki, N., Waki, M., Sugiyama, E., Shinriki, S., Takeda, M., et al. (2016) · Scientific Reports · doi:10.1038/srep29935 · Cited by 53
Self-citation3D modeling of cancer stem cell niche
He, J., Xiong, L., Li, Q., Lin, L., Miao, X., Yan, S., Hong, Z., Yang, L., Wen, Y., & Deng, X. (2017) · Oncotarget · doi:10.18632/oncotarget.19847 · Cited by 59
Shen, X., Zhang, Y., Xu, Z., Gao, H., Feng, W., Li, W., Miao, Y., Xu, Z., Zong, Y., Zhao, J., et al. (2022) · Cell Death and Disease · doi:10.1038/s41419-022-04773-1 · Cited by 55
Mouse Models in Prostate Cancer Translational Research: From Xenograft to PDX
Rea, D., Vecchio, V. D., Palma, G., Barbieri, A., Falco, M., Luciano, A., Biase, D. D., Perdonà, S., Facchini, G., & Arra, C. (2016) · BioMed Research International · doi:10.1155/2016/9750795 · Cited by 51
Tamura, H., Higa, A., Hoshi, H., Hiyama, G., Takahashi, N., Ryufuku, M., Morisawa, G., Yanagisawa, Y., Ito, E., Imai, J., et al. (2018) · Oncology Reports · doi:10.3892/or.2018.6501 · Cited by 50
Endo, H., Okami, J., Okuyama, H., Nishizawa, Y., Imamura, F., & Inoue, M. (2017) · Oncogene · doi:10.1038/onc.2016.431 · Cited by 50
Self-citationShimozato, O., Waraya, M., Nakashima, K., Souda, H., Takiguchi, N., Yamamoto, H., Takenobu, H., Uehara, H., Ikeda, E., Matsushita, S., et al. (2014) · Oncogene · doi:10.1038/onc.2014.141 · Cited by 49
Cancer Cell Spheroids for Screening of Chemotherapeutics and drug-delivery Systems
Patel, N. R., Aryasomayajula, B., Abouzeid, A. H., & Torchilin, V. P. (2015) · Therapeutic Delivery · doi:10.4155/tde.15.1 · Cited by 48
Kang, J., Lee, D. W., Hwang, H. J., Yeon, S.-E., Lee, M., & Kuh, H. (2016) · Lab on a Chip · doi:10.1039/c6lc00526h · Cited by 46
Moro, M., Bertolini, G., Pastorino, U., Roz, L., & Sozzi, G. (2015) · Journal of Thoracic Oncology · doi:10.1097/jto.0000000000000563 · Cited by 50
Okuyama, H., Kondo, J., Sato, Y., Endo, H., Nakajima, A., Piulats, J. M., Tomita, Y., Fujiwara, T., Itoh, Y., Mizoguchi, A., et al. (2016) · American Journal Of Pathology · doi:10.1016/j.ajpath.2015.12.011 · Cited by 47
Self-citationÁrnadóttir, S. S., Jeppesen, M., Lamy, P., Bramsen, J. B., Nordentoft, I., Knudsen, M., Vang, S., Madsen, M. R., Thastrup, M., Thastrup, J., et al. (2017) · Molecular Oncology · doi:10.1002/1878-0261.12156 · Cited by 43
Medle, B., Sjödahl, G., Eriksson, P., Liedberg, F., Höglund, M., & Bernardo, C. (2022) · Cancers · doi:10.3390/cancers14092062 · Cited by 46
Bringing 3D tumor models to the clinic – predictive value for personalized medicine
Halfter, K., & Mayer, B. (2017) · Biotechnology Journal · doi:10.1002/biot.201600295 · Cited by 48
Ikari, R., Mukaisho, K., Kageyama, S., Nagasawa, M., Kubota, S., Nakayama, T., Murakami, S., Taniura, N., Tanaka, H., Kushima, R., et al. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22041805 · Cited by 45
Technologies to Assess Drug Response and Heterogeneity in Patient-Derived Cancer Organoids
Skala, M. C., Deming, D. A., & Kratz, J. D. (2022) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-110220-123503 · Cited by 46
Kiyohara, Y., Yoshino, K., Kubota, S., Okuyama, H., Endo, H., Ueda, Y., Kimura, T., Kimura, T., Kamiura, S., & Inoue, M. (2016) · Cancer Science · doi:10.1111/cas.12898 · Cited by 44
Self-citationMiserocchi, G., Cocchi, C., Vita, A. D., Liverani, C., Spadazzi, C., Calpona, S., Menna, G. D., Bassi, M., Meccariello, G., Luca, G. D., et al. (2021) · Cancer Biology and Medicine · doi:10.20892/j.issn.2095-3941.2020.0482 · Cited by 44
In vitro Organoid Culture of Primary Mouse Colon Tumors
Xue, X., & Shah, Y. M. (2013) · Journal of Visualized Experiments · doi:10.3791/50210 · Cited by 43
A Novel Bispecific Antibody against Human CD3 and Ephrin Receptor A10 for Breast Cancer Therapy
Taki, S., Kamada, H., Inoue, M., Kazuya, N., Mukai, Y., Higashisaka, K., Yoshioka, Y., Tsutsumi, Y. M., & Tsunoda, S. (2015) · PLoS ONE · doi:10.1371/journal.pone.0144712 · Cited by 43
Self-citationYoshida, T., Okuyama, H., Nakayama, M., Endo, H., Nonomura, N., Nishimura, K., & Inoue, M. (2014) · Cancer Science · doi:10.1111/cas.12567 · Cited by 44
Self-citationPatient-Derived In Vitro Models for Drug Discovery in Colorectal Carcinoma
Ramzy, G. M., Koessler, T., Ducrey, E., McKee, T., Ris, F., Buchs, N. C., Rubbia‐Brandt, L., Dietrich, P., & Nowak-Sliwinska, P. M. (2020) · Cancers · doi:10.3390/cancers12061423 · Cited by 45
Ideo, H., Kondo, J., Nomura, T., Nonomura, N., Inoue, M., & Amano, J. (2020) · Scientific Reports · doi:10.1038/s41598-020-59622-y · Cited by 41
Self-citationHalfter, K., Ditsch, N., Kolberg, H., Fischer, H., Hauzenberger, T., von Koch, F. E., Bauerfeind, I., von Minckwitz, G., Funke, I., Crispin, A., et al. (2015) · BMC Cancer · doi:10.1186/s12885-015-1491-7 · Cited by 41
Parihar, A., Pandita, V., & Khan, R. (2022) · Biotechnology and Bioengineering · doi:10.1002/bit.28166 · Cited by 41
Ashley, N., Jones, M. F., Ouaret, D., Wilding, J., & Bodmer, W. F. (2014) · The Journal of Pathology · doi:10.1002/path.4371 · Cited by 40
Metadata
- Authors
- Kondo, J., Endo, H., Okuyama, H., Ishikawa, O., Iishi, H., Tsujii, M., Ohue, M., & Inoue, M.
- Affiliations
- Osaka International Cancer Institute (JP)
- University of California, San Francisco (US)
- Surgery, and
- The University of Osaka (JP)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2011-03-28
- Volume
- 108
- Issue
- 15
- Pages
- 6235-6240
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC3076886
- OpenAlex
- W2043079400
- Cited by
- 322
- References
- 39
- Citations by year
- 2026: 12 · 2025: 16 · 2024: 24 · 2023: 29 · 2022: 29 · 2021: 33 · 2020: 28 · 2019: 25 · 2018: 29 · 2017: 23 · 2016: 25 · 2015: 21 · 2014: 15 · 2013: 10 · 2012: 2
- FWCI
- 4.40
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Ministry of Education, Culture, Sports, Science and Technology
- Japan Society for the Promotion of Science (22791240)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Physical Sciences › Mathematics › Modeling and Simulation › Mathematical Biology Tumor Growth
- Keywords
- colorectal cancer, cell-cell contact, tumor cell dissociation, tumor xenografts, 3D cell culture, cancer stem cells, chemosensitivity, personalized medicine, tumor microenvironment
- MeSH terms
- Animals, Cell Communication, Cell Survival, Humans, Tumor Cells, Cultured, Colorectal Neoplasms, Cadherins, Spheroids, Cellular, Cell Culture Techniques, Xenograft Model Antitumor Assays, 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