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Impact of the 3D Microenvironment on Phenotype, Gene Expression, and EGFR Inhibition of Colorectal Cancer Cell Lines
Open accessAbstract
Three-dimensional (3D) tumor cell cultures grown in laminin-rich-extracellular matrix (lrECM) are considered to reflect human tumors more realistic as compared to cells grown as monolayer on plastic. Here, we systematically investigated the impact of ECM on phenotype, gene expression, EGFR signaling pathway, and on EGFR inhibition in commonly used colorectal cancer (CRC) cell lines. LrECM on-top (3D) culture assays were performed with the CRC cell lines SW-480, HT-29, DLD-1, LOVO, CACO-2, COLO-205 and COLO-206F. Morphology of lrECM cultivated CRC cell lines was determined by phase contrast and confocal laser scanning fluorescence microscopy. Proliferation of cells was examined by MTT assay, invasive capacity of the cell lines was assayed using Matrigel-coated Boyden chambers, and migratory activity was determined employing the Fence assay. Differential gene expression was analyzed at the transcriptional level by the Agilent array platform. EGFR was inhibited by using the specific small molecule inhibitor AG1478. A specific spheroid growth pattern was observed for all investigated CRC cell lines. DLD-1, HT-29 and SW-480 and CACO-2 exhibited a clear solid tumor cell formation, while LOVO, COLO-205 and COLO-206F were characterized by forming grape-like structures. Although the occurrence of a spheroid morphology did not correlate with an altered migratory, invasive, or proliferative capacity of CRC cell lines, gene expression was clearly altered in cells grown on lrECM as compared to 2D cultures. Interestingly, in KRAS wild-type cell lines, inhibition of EGFR was less effective in lrECM (3D) cultures as compared to 2D cell cultures. Thus, comparing both 2D and 3D cell culture models, our data support the influence of the ECM on cancer growth. Compared to conventional 2D cell culture, the lrECM (3D) cell culture model offers the opportunity to investigate permanent CRC cell lines under more physiological conditions, i.e. in the context of molecular therapeutic targets and their pharmacological inhibition.
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“The proliferation rates of cells cultured in 3D and 2D are usually different, and are cell line and matrix dependent.”
From Three-dimensional cell culture systems and their applications in drug discovery and cell-based biosensors (2014) · cites this paper as [29]
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“Overall, the morphological appearance of 3D spheroids is primarily cell line dependent. 29,35,37”
From Three-dimensional cell culture systems and their applications in drug discovery and cell-based biosensors (2014) · cites this paper as [29]
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“A variety of cell lines showed reduced proliferation rate in 3D cultures compared to those cultured in 2D. 17,27-31”
From Three-dimensional cell culture systems and their applications in drug discovery and cell-based biosensors (2014) · cites this paper as [29]
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“A similar trend was observed in hepatocellular carcinoma models, where monolayers showed enrichment in structural gene expression, whereas spheroids upregulated genes related to metabolism and biosynthesis [196,197,198].”
From Modeling Tumor Microenvironment Complexity In Vitro: Spheroids as Physiologically Relevant Tumor Models and Strategies for Their Analysis (2025) · cites this paper as [197]
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Cites
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860
Integrins: Versatility, modulation, and signaling in cell adhesion
Hynes, R. O. (1992) · Cell · doi:10.1016/0092-8674(92)90115-s · Cited by 9,857
Wild-Type BRAF Is Required for Response to Panitumumab or Cetuximab in Metastatic Colorectal Cancer
Di Nicolantonio, F., Martini, M., Molinari, F., Sartore-Bianchi, A., Arena, S., Saletti, P., De Dosso, S., Mazzucchelli, L., Frattini, M., Siena, S., et al. (2008) · Journal of Clinical Oncology · doi:10.1200/jco.2008.18.0786 · Cited by 1,591 · cited 1×
“KRAS and BRAF mutational status of patients is usually assessed before EGFR treatment on the basis that only patients exhibiting BRAF and KRAS wild type profit from treatments with anti-EGFR therapies [29,30].”
BackgroundBasement membrane complexes with biological activity
Kleinman, H. K., McGarvey, M. L., Hassell, J. R., Star, V. L., Cannon, F. B., Laurie, G. W., & Martin, G. R. (1986) · Biochemistry · doi:10.1021/bi00350a005 · Cited by 1,502
Three-dimensional culture models of normal and malignant breast epithelial cells
Lee, G. Y., Kenny, P. A., Lee, E. H., & Bissell, M. J. (2007) · Nature Methods · doi:10.1038/nmeth1015 · Cited by 1,336
Kleinman, H. K., McGarvey, M. L., Liotta, L. A., Robey, P. G., Tryggvason, K., & Martin, G. R. (1982) · Biochemistry · doi:10.1021/bi00267a025 · Cited by 1,231
PETERSEN, O. W., Rønnov‐Jessen, L., Howlett, A. R., & Bissell, M. J. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.19.9064 · Cited by 1,096
Kenny, P. A., Lee, G. Y., Myers, C. A., Neve, R. M., Semeiks, J. R., Spellman, P. T., Lorenz, K., Lee, E. H., Barcellos‐Hoff, M. H., PETERSEN, O. W., et al. (2008) · eScholarship (California Digital Library) · Cited by 1,039
Benvenuti, S., Sartore-Bianchi, A., Di Nicolantonio, F., Zanon, C., Moroni, M., Veronese, S., Siena, S., & Bardelli, A. (2007) · Cancer Research · doi:10.1158/0008-5472.can-06-4158 · Cited by 830
Weaver, V. M., Lelièvre, S. A., Lakins, J. N., Chrenek, M. A., Jones, J., Giancotti, F. G., Werb, Z., & Bissell, M. J. (2002) · Cancer Cell · doi:10.1016/s1535-6108(02)00125-3 · Cited by 794
Flagged first, then by citations
Research works printed but not linked: 1
- PD Yurchenco, 1992, Laminin forms an independent network in basement membranes, J Cell Biol, 117, 1119
Cited by
Sorted by citations
Items 201–300 of 339
Joshi, A. J., Bhojwani, H. R., Wagal, O. S., Begwani, K., Joshi, U. J., Sathaye, S. S., & Kanchan, D. M. (2021) · Anti-Cancer Agents in Medicinal Chemistry · doi:10.2174/1871520621666210415091359 · Cited by 11
Espinoza, I. C., Yang, L., Steen, T. V., Vellón, L., Cuyàs, E., Verdura, S., Lau, L. F., Menéndez, J. A., & Lupu, R. (2022) · Aging · doi:10.18632/aging.203882 · Cited by 12
Yue, Y., Shao, Y., Luo, Q., Shi, L., & Wang, Z. (2013) · BioMed Research International · doi:10.1155/2013/434561 · Cited by 11
RetractedLight controlled biomaterials for regulating cell migration and differentiation
Tian, C., Zhang, J., Gu, J., Li, W., & Cao, Y. (2022) · Smart Materials in Medicine · doi:10.1016/j.smaim.2022.01.005 · Cited by 11
Rossanese, O. W., Eccles, S. A., Springer, C. J., Swain, A., Raynaud, F. I., Workman, P., & Kirkin, V. (2016) · Drug Discovery Today Disease Models · doi:10.1016/j.ddmod.2017.07.002 · Cited by 11
Jing, F., Mao, Y., Zhang, Z., Li, Y., Cai, S., Li, Q., Ma, X., Jin, M., & Chen, K. (2014) · Tumor Biology · doi:10.1007/s13277-014-2197-1 · Cited by 10
Pizzimenti, S. (2014) · Journal of Pediatric Oncology · doi:10.14205/2309-3021.2014.02.01.5 · Cited by 10
In vitro interaction of polymeric biomaterials with cells
Sousa, A., Neves, S. C., Gonçalves, I. C., & Barrias, C. C. (2017) · Elsevier eBooks · doi:10.1016/b978-0-08-100737-2.00012-1 · Cited by 10
Xia, H., Avci, N. G., Akay, Y. M., Esquenazi, Y., Schmitt, L. H., Tandon, N., Zhu, J., & Akay, M. (2019) · IEEE Open Journal of Engineering in Medicine and Biology · doi:10.1109/ojemb.2019.2962801 · Cited by 10
Hassani, I., Anbiah, B., Moore, A. L., Abraham, P., Odeniyi, I. A., Habbit, N. L., Greene, M. W., & Lipke, E. A. (2023) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.37611 · Cited by 9
Mateos-Sánchez, C., González, B., de Miguel-García, G., Font-Cugat, A., Marcote-Corral, I., & Alonso, S. (2025) · Scientific Reports · doi:10.1038/s41598-025-13588-x · Cited by 10
Stankevičius, V., Vasauskas, G., Rynkeviciene, R., Venius, J., Pašukonienė, V., Aleknavičius, E., & Sužiedėlis, K. (2017) · Radiation Research · doi:10.1667/rr14658.1 · Cited by 9
Two-dimensional and three-dimensional cell culture models in vitro: pros and cons
Galimova, E. S., & Galagudza, M. M. (2018) · Bulletin of Siberian Medicine · doi:10.20538/1682-0363-2018-3-188-196 · Cited by 10
Obal, D., & Wu, J. C. (2020) · British Journal of Pharmacology · doi:10.1111/bph.15228 · Cited by 8
Cramer, G. M., Shin, M. H., Hagan, S., Katz, S. I., Simone, C. B., Busch, T. M., & Cengel, K. A. (2018) · Photochemistry and Photobiology · doi:10.1111/php.13067 · Cited by 9
Perepelkina, T., Kegeles, E., & Baranov, P. Y. (2019) · Tissue Engineering Part C Methods · doi:10.1089/ten.tec.2019.0053 · Cited by 9
Vasudevan, A., Majumder, N., Sharma, I., Kaur, I., Sundarrajan, S., Venugopal, J. R., Vijayaraghavan, P., Singh, N., Ramakrishna, S., Ghosh, S., et al. (2023) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.3c01216 · Cited by 9
Bioengineered Cystinotic Kidney Tubules Recapitulate a Nephropathic Phenotype
Garví, E. S., Masereeuw, R., & Janssen, M. J. (2022) · Cells · doi:10.3390/cells11010177 · Cited by 8
Concise Review: 3D cell culture systems for anticancer drug screening
Nguyen, H. T. L., Nguyen, S. T., & Pham, P. V. (2016) · Biomedical Research and Therapy · doi:10.7603/s40730-016-0022-8 · Cited by 9
Biofunctional Hydrogels for Three-Dimensional Stem Cell Culture
Wilson, J. L., & McDevitt, T. C. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-802734-9.00022-6 · Cited by 8
Identification of Gastric Cancer Biomarkers Using 1H Nuclear Magnetic Resonance Spectrometry
Ramachandran, G. K., Yong, W. P., & Yeow, C. (2016) · PLoS ONE · doi:10.1371/journal.pone.0162222 · Cited by 8
Rajan, S., Franz, E., McAloney, C. A., Vetter, T. A., Cam, M., Gross, A. C., Taslim, C., Wang, M., Cannon, M. V., Oles, A. R., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.03.367342 · Cited by 8
Torras, N., Zabalo, J., Abril, E., Carré, A., García-Díaz, M., & Martínez, E. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.09.479715 · Cited by 8
Szostakowska-Rodzoś, M., Chmielarczyk, M., Zacharska, W., Fabisiewicz, A., Kurzyk, A., Myśliwy, I., Gruba, Z., Postek, E., & Grzybowska, E. A. (2025) · Bioengineering · doi:10.3390/bioengineering12020147 · Cited by 7
Tumor Organoid as a Drug Screening Platform for Cancer Research
Arani, R. M., Yousefi, N., Hamidieh, A. A., Gholizadeh, F., & Sisakht, M. M. (2023) · Current Stem Cell Research & Therapy · doi:10.2174/011574888x268366230922080423 · Cited by 9
Ye, Q., Wang, J., Wang, B., Zhao, M., Wu, Z., & Liu, X. (2024) · Technology in Cancer Research & Treatment · doi:10.1177/15330338241286755 · Cited by 6
Daum, A.-K., Dittmann, J., Jansen, L., Peters, S., Dahmen, U., Héger, J., Hoppe‐Seyler, F., Gille, A., Clement, J. H., Runnebaum, I. B., et al. (2021) · PubMed Central · Cited by 7
Asante, E. C., Pallegar, N. K., Viloria‐Petit, A., & Christian, S. L. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2376-3_7 · Cited by 7
Sukphokkit, S., Kiatwuthinon, P., Kumkate, S., & Janvilisri, T. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2022.999158 · Cited by 7
Tissue Engineering Models for the Study of Breast Neoplastic Disease and the Tumor Microenvironment
Premaratne, I. D., Toyoda, Y., Celie, K., Brown, K. A., & Spector, J. A. (2020) · Tissue Engineering Part B Reviews · doi:10.1089/ten.teb.2019.0347 · Cited by 8
Jeong, C. G., Negro, G. D., Getsios, S., & Ekert, J. E. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-813671-3.00005-0 · Cited by 8
3D cell culture model – a substitution for future in vivo fish study?
Ranasinghe, N., Lee, S.-S., Gamage, L., & Lee, T. (2025) · Molecular Biology Reports · doi:10.1007/s11033-025-10821-8 · Cited by 6
Modern Methods of Preclinical Anticancer Drug Screening Using Test Systems Based on Cell Cultures
Kitaeva, K. V., Rizvanov, A. A., & Solovyeva, V. V. (2021) · Učënye zapiski Kazanskogo universiteta. Seriâ Estestvennye nauki/Učënye zapiski Kazanskogo universiteta. Seriâ Estestvennye nauki/Učenye zapiski Kazanskogo gosudarstvennogo universiteta. Seriâ Estestvennye nauki · doi:10.26907/2542-064x.2021.2.155-176 · Cited by 7
Bourque, K., Hawey, C., Jiang, A., Mazarura, G. R., & Hébert, T. E. (2022) · Cellular Signalling · doi:10.1016/j.cellsig.2021.110239 · Cited by 6
Scaffold-mediated switching of lymphoma metabolism in culture
Bhatt, R., Ravi, D., Evens, A. M., & Parekkadan, B. (2022) · Cancer & Metabolism · doi:10.1186/s40170-022-00291-y · Cited by 6
Toyama, M., Hamaoka, Y., & Katoh, H. (2018) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2018.12.002 · Cited by 6
Perumalsamy, B., Anbazhagan, M., Arunachalam, R., Ramasamy, T., Sellathamby, S., & Akbarsha, M. A. (2020) · ACS Omega · doi:10.1021/acsomega.0c02508 · Cited by 6
Materials and assay systems used for three‐dimensional cell culture
Sanyal, S., & Kosovsky, M. J. (2017) · Wiley eBooks · doi:10.1002/9781118851647.ch7 · Cited by 7
Role of Gut Microbiota in Predisposition to Colon Cancer: A Narrative Review
Kamath, H. S., Shukla, R. K., Shah, U., Patel, S. D., Das, S., Chordia, A., Poorvikha, S., & Ghosh, D. (2024) · Indian Journal of Microbiology · doi:10.1007/s12088-024-01242-5 · Cited by 6
rster, S. F. ⁄., Hehlgans, S., del, F. R. ⁄., Otto, B., & Cordes, N. (2018) · International Journal of Oncology · doi:10.3892/ijo.2018.4279 · Cited by 5
Koshkin, V., de Oliveira, M. B., Peng, C., Ailles, L., Liu, G., Covens, A. L., & Krylov, S. N. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.0c01667 · Cited by 5
Almutary, A. G., Alnuqaydan, A. M., Almatroodi, S. A., Bakshi, H. A., Chellappan, D. K., & Tambuwala, M. M. (2023) · Biomimetics · doi:10.3390/biomimetics8010041 · Cited by 5
Mboge, M. Y., & Bissell, M. J. (2020) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2020.165960 · Cited by 6
Model Selection for the Preclinical Development of New Drug–Radiotherapy Combinations
Singh, J., Hatcher, S. V., Ku, A. A., Ding, Z., Feng, F. Y.-C., Sharma, R. A., & Pfister, S. (2021) · Clinical Oncology · doi:10.1016/j.clon.2021.08.008 · Cited by 5
Construction of Lung Tumor Model for Drug Screening Based on 3D Bio-Printing Technology
Yang, Y., Yang, G., Liu, X., Xu, Y., Zhao, S., Zhang, W., & Xu, M. (2021) · Journal of Biomaterials and Tissue Engineering · doi:10.1166/jbt.2021.2706 · Cited by 5
Saemisch, M., Nickmann, M., Riesinger, L. M., Edelman, E. R., & Methe, H. (2017) · Journal of Tissue Engineering and Regenerative Medicine · doi:10.1002/term.2609 · Cited by 5
A promising breakthrough in pancreatic cancer research: The potential of spheroids as 3D models
Jamshidi, N., Jamshidi, N., Chahardehi, A. M., Shams, E., & Chaleshi, V. (2024) · Bioimpacts · doi:10.34172/bi.30241 · Cited by 4
A Simple Pipetting-based Method for Encapsulating Live Cells into Multi-layered Hydrogel Droplets
Yeon, J. H., Chung, S. H., Baek, C., Hwang, H., & Min, J. (2018) · BioChip Journal · doi:10.1007/s13206-018-2307-z · Cited by 4
Bourque, K., Jones-Tabah, J., Mnasri, N., Martin, R., & Hébert, T. E. (2018) · Biomolecules · doi:10.3390/biom8040180 · Cited by 5
(2017) · Cancer drug discovery and develogment/Cancer drug discovery and development · doi:10.1007/978-3-319-60511-1 · Cited by 4
Small molecules—Giant leaps for immuno-oncology
Kötzner, L., Huck, B. R., Garg, S., & Urbahns, K. (2020) · Progress in medicinal chemistry · doi:10.1016/bs.pmch.2019.11.001 · Cited by 4
Nasir, A., Cardall, A., Othman, R. T., Nicolaou, N., Lourdusamy, A., Linke, F., Onion, D., Ryzhova, M. V., Cameron, H., Valente, C., et al. (2021) · Neuro-Oncology Advances · doi:10.1093/noajnl/vdab030 · Cited by 4
Hogg, S. J., Evans, J. J., Sykes, P. H., & Chitcholtan, K. (2015) · Journal of Ovarian Research · doi:10.1186/s13048-015-0172-0 · Cited by 4
Madsen, N. H., Nielsen, B. S., Skandorff, I., Pardo, C. R., Hadrup, S. R., Ormhøj, M., Holmstrøm, K., Larsen, J., & Gad, M. (2025) · Experimental Cell Research · doi:10.1016/j.yexcr.2025.114604 · Cited by 3
Mimicking the immunosuppressive impact of fibroblasts in a 3D multicellular spheroid model
Grotz, M., van Gijzel, L., Bitsch, P., Carrara, S. C., Kolmar, H., & Garg, S. (2024) · Frontiers in Drug Discovery · doi:10.3389/fddsv.2024.1427407 · Cited by 4
Yang, J.-P., Kulkarni, N. N., Yamaji, M., Shiraishi, T., Pham, T. Q., Do, H., Aiello, N. M., Shaw, M. H., Nakamura, T., Abiru, A., et al. (2024) · PLoS ONE · doi:10.1371/journal.pone.0314227 · Cited by 3
Three-dimensional tumor model and their implication in drug screening for tackling chemoresistance
Priyadarshini, M., Mohanty, S., Mahapatra, T., Mohapatra, P., & Dash, R. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818128-7.00020-4 · Cited by 3
Characterization of in vitro 3D cultures
Mousavi, N. (2021) · Apmis · doi:10.1111/apm.13168 · Cited by 3
Self-Assembled Peptide Habitats to Model Tumor Metastasis
Balushi, N. A., Boyd‐Moss, M., Samarasinghe, R. M., Rifai, A., Franks, S. J., Firipis, K., Long, B. M., Darby, I. A., Nisbet, D. R., Pouniotis, D. S., et al. (2022) · Gels · doi:10.3390/gels8060332 · Cited by 3
Sade, O., Boneberg, R., Weiss, Y., Beldjilali‐Labro, M., Leichtmann‐Bardoogo, Y., Talpir, I., Gottfried, I., Ashery, U., Rauti, R., & Maoz, B. M. (2023) · Biomedical Optics Express · doi:10.1364/boe.498038 · Cited by 3
3D cell subculturing pillar dish for pharmacogenetic analysis and high-throughput screening
Lee, S., Hwang, H. J., Song, Y. J., Lee, D., Ku, B., Sa, J. K., & Lee, D. W. (2023) · Materials Today Bio · doi:10.1016/j.mtbio.2023.100793 · Cited by 3
Colorectal cysts as a validating tool for CAR therapy
Dillard, P., Lie, M., Baken, E., Lobert, V. H., Benard, E., Köksal, H., Inderberg, E. M., & Wälchli, S. (2020) · BMC Biotechnology · doi:10.1186/s12896-020-00623-0 · Cited by 4
Febles, N. K., Chandrasekaran, S., & Ye, F. (2017) · Methods in molecular biology · doi:10.1007/978-1-4939-6848-0_10 · Cited by 3
Soon, C. F., Tee, K. S., Wong, S. C., Nayan, N., Sundra, S., Ahmad, M. K., Sefat, F., Sultana, N., & Youseffi, M. (2017) · Cytotechnology · doi:10.1007/s10616-017-0168-2 · Cited by 3
A Guide to Understanding “State-of-the-Art” Basic Research Techniques in Anesthesiology
Obal, D., Wu, S., McKinstry-Wu, A. R., & Tawfik, V. L. (2020) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000004801 · Cited by 3
Chen, Y.-T., Ramalingam, L., Garcia, C. R., Ding, Z., Wu, J., Moustaïd‐Moussa, N., & Li, W. (2022) · Pharmaceutical Research · doi:10.1007/s11095-022-03195-0 · Cited by 2
Comparative metabolomics reveals specific metabolic signatures in colorectal cancer cell line models
Li, M., Yu, C., Li, Z., Xiong, L., Wang, J., Shang, X., Sun, H., Chang, Y., Du, X., & Zheng, R. (2025) · Discover Oncology · doi:10.1007/s12672-025-04183-7 · Cited by 2
Delimiting Allelic Imbalance of TYMS by Allele-Specific Analysis
Balboa, E., Cruz, R., Carracedo, Á., & Barros, F. (2015) · Medicine · doi:10.1097/md.0000000000001091 · Cited by 3
Yu, J. S., & Bagheri, N. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011917 · Cited by 2
Ferretti, L., Moccia, V., Centelleghe, C., Venerando, A., Dettin, M., Sieni, E., Zamuner, A., Caicci, F., Castagnaro, M., Zappulli, V., et al. (2024) · PLoS ONE · doi:10.1371/journal.pone.0304992 · Cited by 2
Gonçalves, P. P., da Silva, C. L., & Bernardes, N. (2024) · Advances in cancer research · doi:10.1016/bs.acr.2024.07.001 · Cited by 2
El-Derby, A. M., Schaaf, C. R., Shelkey, E., Cook, K. L., Votanopoulos, K. I., & Söker, S. (2024) · Frontiers in Microbiomes · doi:10.3389/frmbi.2024.1411322 · Cited by 2
Three-Dimensional Cell Culture and Tissue Restoration of Neural Stem Cells Under Microgravity
Han, J., Cui, Y., Bai, X., Xue, W., Liu, S., & Dai, J. (2019) · Research for development · doi:10.1007/978-981-13-6325-2_10 · Cited by 3
Comparison of the Effect of Platinum (IV) Complexes on Spheroids and Monolayer Culture of HeLa Cells
Trigub, М. М., Filatova, N. V., Areshidze, D. A., Sen', V. D., & Terentiev, A. A. (2020) · Bulletin of Experimental Biology and Medicine · doi:10.1007/s10517-020-04757-1 · Cited by 2
Programmed death-ligand 1 expression in human cancer three-dimensional cell culture modelsPreprint
Hudson, K., Cross, N. A., Jordan, N., & Leyland, R. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.31.514495 · Cited by 2
Hyytiäinen, A., Korelin, K., Toriseva, M., Wilkman, T. S. E., Kainulainen, S., Mesimäki, K., Routila, J., Ventelä, S., Irjala, H., Nees, M., et al. (2023) · Cancer Cell International · doi:10.1186/s12935-023-02982-y · Cited by 1
The comparison of gold nanoparticles effectiveness in 2D and 3D cell culture.
Musielak, M., Szymkowiak, B., & Boś, A. (2023) · Letters in Oncology Science · doi:10.21641/los.2023.20.1.239 · Cited by 1
Isinelli, G., Failla, S., Plebani, R., & Prete, A. (2024) · Medicine International · doi:10.3892/mi.2024.212 · Cited by 1
Siddappa, R. H. R., & Kishen, A. (2025) · Journal of Endodontics · doi:10.1016/j.joen.2025.07.021 · Cited by 1
Lv, C., Yu, H., Su, Y., Dai, X., Chen, J., Xu, T., & Dong, H. (2026) · Biofabrication · doi:10.1088/1758-5090/ae7b0a · Cited by 1
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Metadata
- Authors
- Luca, A. C., Mersch, S., Deenen, R., Schmidt, S., Messner, I., Schäfer, K.-L., Baldus, S. E., Huckenbeck, W., Piekorz, R. P., Knoefel, W. T., Krieg, A., & Stoecklein, N. H.
- Affiliations
- Düsseldorf University Hospital (DE)
- Heinrich Heine University Düsseldorf (DE)
- Corresponding author
- Krieg, Andreas
- Stoecklein, Nikolas H.
- ORCID
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-03-26
- Volume
- 8
- Issue
- 3
- Pages
- e59689
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3608563
- OpenAlex
- W1983051794
- Cited by
- 341
- References
- 31
- Citations by year
- 2026: 11 · 2025: 14 · 2024: 18 · 2023: 29 · 2022: 27 · 2021: 39 · 2020: 40 · 2019: 29 · 2018: 25 · 2017: 33 · 2016: 29 · 2015: 18 · 2014: 25 · 2013: 4
- FWCI
- 13.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Univ. Duesseldorf: Duesseldorfer Dokumenten- und Publikationsserver (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- Deutsche Forschungsgemeinschaft (SFB728)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular Mechanics and Interactions
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Keywords
- colorectal cancer, 3D cell culture, tumor microenvironment, EGFR signaling, EGFR inhibition, AG1478, gene expression, cell morphology, spheroid formation, cell invasion, cell migration, KRAS wild-type, 2D vs 3D culture comparison, colorectal cancer cell lines
- MeSH terms
- Extracellular Matrix, Humans, Laminin, Phenotype, Colorectal Neoplasms, Gene Expression Regulation, Neoplastic, Spheroids, Cellular, Cell Culture Techniques, Cell Line, Tumor, Protein Kinase Inhibitors, Cell Proliferation, Tumor Microenvironment, ErbB Receptors
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