Cited by 43HER2/EGFR in Cancer ResearchCancer Cells and Metastasis3D Printing in Biomedical Research

Organotypic three-dimensional cancer cell cultures mirror drug responses in vivo: lessons learned from the inhibition of EGFR signaling

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Jacobi, Nico, Seeboeck, Rita, Hofmann, Elisabeth, Schweiger, Helmut, Smolinska, Veronika, Mohr, Thomas, Boyer, Alexandra, Sommergruber, Wolfgang +6 more·2017·Oncotarget

Abstract

// Nico Jacobi 1 , Rita Seeboeck 2 , Elisabeth Hofmann 2 , Helmut Schweiger 1 , Veronika Smolinska 1 , Thomas Mohr 3 , Alexandra Boyer 1 , Wolfgang Sommergruber 4 , Peter Lechner 5 , Corina Pichler-Huebschmann 5 , Kamil Önder 6, 7 , Harald Hundsberger 2 , Christoph Wiesner 2 and Andreas Eger 1, 2 1 IMC University of Applied Sciences Krems, Department Life Sciences, Research Institute for Applied Bioanalytics and Drug Development, A-3500 Krems, Austria 2 IMC University of Applied Sciences Krems, Department Life Sciences, Institute of Medical and Pharmaceutical Biotechnology, A-3500 Krems, Austria 3 Medical University of Vienna, Institute for Cancer Research, A-1090 Vienna, Austria 4 Boehringer Ingelheim, RCV GmbH and Co KG, A-1121 Vienna, Austria 5 University Clinic Tulln, Department Surgery, A-3430 Tulln, Austria 6 Research Program for Rational Drug Design in Dermatology and Rheumatology, Department of Dermatology, Paracelsus Medical University of Salzburg, A-5020 Salzburg, Austria 7 ProComCure Biotech, A-5081 Anif, Austria Correspondence to: Andreas Eger, email: andreas.eger@fh-krems.ac.at Keywords: drug discovery; 3D models; ERBB signaling; targeted drugs; oncogene addiction Received: August 25, 2017 Accepted: October 27, 2017 Published: November 17, 2017 ABSTRACT Complex three-dimensional (3D) in vitro models that recapitulate human tumor biology are essential to understand the pathophysiology of the disease and to aid in the discovery of novel anti-cancer therapies. 3D organotypic cultures exhibit intercellular communication, nutrient and oxygen gradients, and cell polarity that is lacking in two-dimensional (2D) monolayer cultures. In the present study, we demonstrate that 2D and 3D cancer models exhibit different drug sensitivities towards both targeted inhibitors of EGFR signaling and broad acting cytotoxic agents. Changes in the kinase activities of ErbB family members and differential expression of apoptosis- and survival-associated genes before and after drug treatment may account for the differential drug sensitivities. Importantly, EGFR oncoprotein addiction was evident only in the 3D cultures mirroring the effect of EGFR inhibition in the clinic. Furthermore, targeted drug efficacy was strongly increased when incorporating cancer-associated fibroblasts into the 3D cultures. Taken together, we provide conclusive evidence that complex 3D cultures are more predictive of the clinical outcome than their 2D counterparts. In the future, 3D cultures will be instrumental for understanding the mode of action of drugs, identifying genotype-drug response relationships and developing patient-specific and personalized cancer treatments.

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  • When cultured in 3D systems, tumor cells often exhibit altered expression of key molecular markers associated with proliferation, apoptosis, drug resistance, and differentiation compared to their 2D counterparts.

    “When cultured in 3D systems, tumor cells often exhibit altered expression of key molecular markers associated with proliferation, apoptosis, drug resistance, and differentiation, compared to their 2D counterparts [10].”

    From Modeling Tumor Microenvironment Complexity In Vitro: Spheroids as Physiologically Relevant Tumor Models and Strategies for Their Analysis (2025) · cites this paper as [10]

    The Results section, “2D and 3D cancer models exhibit differences in gene expression” (page unavailable), reports altered expression of apoptosis- and survival-associated genes in 3D versus 2D cultures. The Discussion (page unavailable) also reports changes in ErbB expression alongside lower proliferation in spheroids and different drug responses. The paper does not establish altered expression of differentiation or drug-resistance markers as the claim states; differences in drug response are not themselves evidence of altered drug-resistance-marker expression. (LLM, conf=0.86)

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  1. [1]Alaoui-Jamali MA Morand GB da Silva SD ErbB polymorphisms: insights and implications for response to targeted cancer therapeutics Front Genet 2015 6 17 PMC4316710 25699077
  2. [2]Hutchinson KE Johnson DB Johnson AS Sanchez V Kuba M Lu P Chen X Kelley MC Wang Q Zhao Z Kris M Berger MF Sosman JA ERBB activation modulates sensitivity to MEK1/2 inhibition in a subset of driver-negative melanoma Oncotarget 2015 6 22348 22360 http://doi.org/10.18632/oncotarget.4255 26084293 PMC4673168 · DOI
  3. [3]Weinstein IB Cancer. Addiction to oncogenes—the Achilles heal of cancer Science 2002 297 63 64 12098689
  4. [4]Weinstein IB Joe A Oncogene addiction Cancer research 2008 68 3077 3080 discussion 3080 18451130
  5. [5]Sharma SV Haber DA Settleman J Cell line-based platforms to evaluate the therapeutic efficacy of candidate anticancer agents Nature reviews Cancer 2010 10 241 253 20300105
  6. [6]Chen HY Liu CH Chang YH Yu SL Ho BC Hsu CP Yang TY Chen KC Hsu KH Tseng JS Hsia JY Chuang CY Chang CS EGFR-activating mutations, DNA copy number abundance of ErbB family, and prognosis in lung adenocarcinoma Oncotarget 2016 7 9017 9025 http://doi.org/10.18632/oncotarget.7029 26824984 PMC4891022 · DOI
  7. [7]Lee VH Association of Exon 19 and 21 EGFR Mutation Patterns with Treatment Outcome after First-Line Tyrosine Kinase Inhibitor in Metastatic Non–Small-Cell Lung Cancer Journal of Thoracic Oncology 2013 8 1148 1155 23945384
  8. [8]Sharma SV Settleman J ErbBs in lung cancer Experimental cell research 2009 315 557 571 18721806
  9. [9]Crews KR Hicks JK Pui CH Relling MV Evans WE Pharmacogenomics and individualized medicine: translating science into practice Clinical pharmacology and therapeutics 2012 92 467 475 22948889 PMC3589526
  10. [10]Ni X Zhang W Huang RS Pharmacogenomics discovery and implementation in genome-wide association studies era Wiley interdisciplinary reviews Systems biology and medicine 2013 5 1 9 23188748 PMC3527666
  11. [11]Puri A Saif MW Pharmacogenomics update in pancreatic cancer JOP: Journal of the pancreas 2014 15 114 117 24618431
  12. [12]Karim NA Bui H Pathrose P Starnes S Patil N Shehata M Mostafa A Rao M Zarzour A Anderson M The use of pharmacogenomics for selection of therapy in non-small-cell lung cancer Clinical Medicine Insights Oncology 2014 8 139 144 25520568 PMC4259862
  13. [13]Waring MJ Arrowsmith J Leach AR Leeson PD Mandrell S Owen RM Pairaudeau G Pennie WD Pickett SD Wang J Wallace O Weir A An analysis of the attrition of drug candidates from four major pharmaceutical companies Nature reviews Drug discovery 2015 14 475 486 26091267
  14. [14]Kola I Landis J Can the pharmaceutical industry reduce attrition rates? Nature reviews Drug discovery 2004 3 711 715 15286737
  15. [15]Cukierman E Pankov R Yamada KM Cell interactions with three-dimensional matrices Current opinion in cell biology 2002 14 633 639 12231360
  16. [16]Bissell MJ Radisky DC Rizki A Weaver VM Petersen OW The organizing principle: microenvironmental influences in the normal and malignant breast Differentiation; research in biological diversity 2002 70 537 546 12492495 PMC2933198
  17. [17]LaBarbera D Reid B Yoo B The multicellular tumor spheroid model for high-throughput cancer drug discovery_LaBarbera_Expert Opin Drug Discov 2012 7 819 830 22788761
  18. [18]Reid BG Jerjian T Patel P Zhou Q Yoo BH Kabos P Sartorius CA Labarbera DV Live multicellular tumor spheroid models for high-content imaging and screening in cancer drug discovery Current chemical genomics and translational medicine 2014 8 27 35 24596682 PMC3941083
  19. [19]Gao Y Holland RD Yu LR Quantitative proteomics for drug toxicity Brief Funct Genomic Proteomic 2009 8 158 166 19351682
  20. [20]Harrill AH Rusyn I Systems biology and functional genomics approaches for the identification of cellular responses to drug toxicity Expert opinion on drug metabolism & toxicology 2008 4 1379 1389 18950280 PMC2614284
  21. [21]Stoehlmacher J The impact of genomics and proteomics in the clinic: functional genetic polymorphisms and their value in response and toxicity prediction in solid tumours Ann Oncol 2006 17 x263 268 17018736
  22. [23]Thoma CR Zimmermann M Agarkova I Kelm JM Krek W 3D cell culture systems modeling tumor growth determinants in cancer target discovery Advanced drug delivery reviews 2014 69–70 29 41 24636868
  23. [24]Smalley KS Lioni M Herlyn M Life isn't flat_taking cancer biology to the next dimension In Vitro Cellular & Developmental Biology Animal 2006 42 242 247 17163781
  24. [25]Boj SF Hwang CI Baker LA Chio II Engle DD Corbo V Jager M Ponz-Sarvise M Tiriac H Spector MS Gracanin A Oni T Yu KH Organoid models of human and mouse ductal pancreatic cancer Cell 2015 160 324 338 25557080 PMC4334572
  25. [26]Krausz E de Hoogt R Gustin E Cornelissen F Grand-Perret T Janssen L Vloemans N Wuyts D Frans S Axel A Peeters PJ Hall B Cik M Translation of a tumor microenvironment mimicking 3D tumor growth co-culture assay platform to high-content screening Journal of biomolecular screening 2013 18 54 66 22923784
  26. [27]Hirschhaeuser F Menne H Dittfeld C West J Mueller-Klieser W Kunz-Schughart LA Multicellular tumor spheroids: an underestimated tool is catching up again Journal of biotechnology 2010 148 3 15 20097238
  27. [28]Weinstein JN Drug discovery: Cell lines battle cancer Nature 2012 483 544 545 22460893
  28. [29]Birgersdotter A Sandberg R Ernberg I Gene expression perturbation in vitro--a growing case for three-dimensional (3D) culture systems Semin Cancer Biol 2005 15 405 412 16055341
  29. [30]Griffith LG Swartz MA Capturing complex 3D tissue physiology in vitro Nat Rev Mol Cell Biol 2006 7 211 224 16496023
  30. [31]Nelson CM Bissell MJ Of extracellular matrix, scaffolds, and signaling: tissue architecture regulates development, homeostasis, and cancer Annu Rev Cell Dev Biol 2006 22 287 309 16824016 PMC2933192
  31. [32]Jacks T Weinberg RA Taking the Study of Cancer Cell Survival to a New Dimension Cell 2002 111 923 925 12507419
  32. [33]Abbott A Cell culture: Biology's new dimension Nature 2003 424 870 872 12931155
  33. [34]Yamada KM Cukierman E Modeling tissue morphogenesis and cancer in 3D Cell 2007 130 601 610 17719539
  34. [35]Breslin S O’Driscoll L Three-dimensional cell culture: the missing link in drug discovery Drug discovery today 2013 18 240 249 23073387
  35. [36]Jaganathan H Gage J Leonard F Srinivasan S Souza GR Dave B Godin B Three-dimensional in vitro co-culture model of breast tumor using magnetic levitation Sci Rep 2014 4 6468 25270048 PMC4180823
  36. [37]Pampaloni F Reynaud EG Stelzer EH The third dimension bridges the gap between cell culture and live tissue Nat Rev Mol Cell Biol 2007 8 839 845 17684528
  37. [38]Kimlin LC Casagrande G Virador VM In vitro three-dimensional (3D) models in cancer research: an update Molecular carcinogenesis 2013 52 167 182 22162252
  38. [39]Rudisch A Dewhurst MR Horga LG Kramer N Harrer N Dong M van der Kuip H Wernitznig A Bernthaler A Dolznig H Sommergruber W High EMT Signature Score of Invasive Non-Small Cell Lung Cancer (NSCLC) Cells Correlates with NFkappaB Driven Colony-Stimulating Factor 2 (CSF2/GM-CSF) Secretion by Neighboring Stromal Fibroblasts PloS one 2015 10 e0124283 25919140 PMC4412534
  39. [40]Zargar R Nourmohammadi J Amoabediny G Preparation, characterization, and silanization of 3D microporous PDMS structure with properly sized pores for endothelial cell culture Biotechnol Appl Biochem 2016 63 190 199 25779846
  40. [41]Justice BA Badr NA Felder RA 3D cell culture opens new dimensions in cell-based assays Drug discovery today 2009 14 102 107 19049902
  41. [42]Vickers AE Fisher RL Organ slices for the evaluation of human drug toxicity Chem Biol Interact 2004 150 87 96 15522263
  42. [43]Davies EJ Dong M Gutekunst M Narhi K van Zoggel HJ Blom S Nagaraj A Metsalu T Oswald E Erkens-Schulze S Delgado San Martin JA Turkki R Wedge SR Capturing complex tumour biology in vitro: histological and molecular characterisation of precision cut slices Sci Rep 2015 5 17187 26647838 PMC4673528
  43. [44]de Graaf IA Olinga P de Jager MH Merema MT de Kanter R van de Kerkhof EG Groothuis GM Preparation and incubation of precision-cut liver and intestinal slices for application in drug metabolism and toxicity studies Nature protocols 2010 5 1540 1551 20725069
  44. [45]Thoma CR Stroebel S Rosch N Calpe B Krek W Kelm JM A high-throughput-compatible 3D microtissue co-culture system for phenotypic RNAi screening applications Journal of biomolecular screening 2013 18 1330 1337 24080258
  45. [46]Kelm JM Djonov V Ittner LM Fluri D Born W Hoerstrup SP Fussenegger M Design of custom-shaped vascularized tissues using microtissue spheroids as minimal building units Tissue Eng 2006 12 2151 2160 16968156
  46. [47]Pickl M Ries CH Comparison of 3D and 2D tumor models reveals enhanced HER2 activation in 3D associated with an increased response to trastuzumab Oncogene 2009 28 461 468 18978815
  47. [48]Zimmermann M Box C Eccles SA Two-dimensional vs. three-dimensional in vitro tumor migration and invasion assays Methods Mol Biol 2013 986 227 252 23436416
  48. [49]Nelson CM Bissell MJ Modeling dynamic reciprocity: engineering three-dimensional culture models of breast architecture, function, and neoplastic transformation Semin Cancer Biol 2005 15 342 352 15963732 PMC2933210
  49. [51]Castello-Cros R Khan DR Simons J Valianou M Cukierman E Staged stromal extracellular 3D matrices differentially regulate breast cancer cell responses through PI3K and beta1-integrins BMC Cancer 2009 9 94 19323811 PMC2669806
  50. [53]Rodriguez-Enriquez S Gallardo-Perez JC Aviles-Salas A Marin-Hernandez A Carreno-Fuentes L Maldonado-Lagunas V Moreno-Sanchez R Energy metabolism transition in multi-cellular human tumor spheroids J Cell Physiol 2008 216 189 197 18264981
  51. [54]Shield K Ackland ML Ahmed N Rice GE Multicellular spheroids in ovarian cancer metastases: Biology and pathology Gynecol Oncol 2009 113 143 148 19135710
  52. [55]L’Esperance S Bachvarova M Tetu B Mes-Masson AM Bachvarov D Global gene expression analysis of early response to chemotherapy treatment in ovarian cancer spheroids BMC Genomics 2008 9 99 18302766 PMC2279123
  53. [56]Baharvand H Hashemi SM Kazemi Ashtiani S Farrokhi A Differentiation of human embryonic stem cells into hepatocytes in 2D and 3D culture systems in vitro Int J Dev Biol 2006 50 645 652 16892178
  54. [57]Desoize B Jardillier J Multicellular resistance: a paradigm for clinical resistance? Crit Rev Oncol Hematol 2000 36 193 207 11033306
  55. [59]Ravi M Paramesh V Kaviya SR Anuradha E Solomon FD 3D cell culture systems: advantages and applications J Cell Physiol 2015 230 16 26 24912145
  56. [62]Jarde T Lloyd-Lewis B Thomas M Kendrick H Melchor L Bougaret L Watson PD Ewan K Smalley MJ Dale TC Wnt and Neuregulin1/ErbB signalling extends 3D culture of hormone responsive mammary organoids Nat Commun 2016 7 13207 27782124 PMC5095178
  57. [63]Humtsoe JO Pham E Louie RJ Chan DA Kramer RH ErbB3 upregulation by the HNSCC 3D microenvironment modulates cell survival and growth Oncogene 2016 35 1554 1564 26073080
  58. [64]Cisneros Castillo LR Oancea AD Stullein C Regnier-Vigouroux A Evaluation of Consistency in Spheroid Invasion Assays Sci Rep 2016 6 28375 27334575 PMC4917829
  59. [66]Weigelt B Ghajar CM Bissell MJ The need for complex 3D culture models to unravel novel pathways and identify accurate biomarkers in breast cancer Advanced drug delivery reviews 2014 69-70 42 51 24412474 PMC4186247
  60. [67]Stratmann AT Fecher D Wangorsch G Gottlich C Walles T Walles H Dandekar T Dandekar G Nietzer SL Establishment of a human 3D lung cancer model based on a biological tissue matrix combined with a Boolean in silico model Molecular oncology 2014 8 351 365 24388494 PMC5528544
  61. [69]Karthaus WR Iaquinta PJ Drost J Gracanin A van Boxtel R Wongvipat J Dowling CM Gao D Begthel H Sachs N Vries RG Cuppen E Chen Y Identification of multipotent luminal progenitor cells in human prostate organoid cultures Cell 2014 159 163 175 25201529 PMC4772677
  62. [71]Lynch TJ Bell DW Sordella R Gurubhagavatula S Okimoto RA Brannigan BW Harris PL Haserlat SM Supko JG Haluska FG Louis DN Christiani DC Settleman J Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib N Engl J Med 2004 350 2129 2139 15118073
  63. [72]Roskoski R Jr The ErbB/HER family of protein-tyrosine kinases and cancer Pharmacol Res 2014 79 34 74 24269963
  64. [73]Kobayashi S Boggon TJ Dayaram T Janne PA Kocher O Meyerson M Johnson BE Eck MJ Tenen DG Halmos B EGFR mutation and resistance of non-small-cell lung cancer to gefitinib N Engl J Med 2005 352 786 792 15728811
  65. [74]Mukohara T Engelman JA Hanna NH Yeap BY Kobayashi S Lindeman N Halmos B Pearlberg J Tsuchihashi Z Cantley LC Tenen DG Johnson BE Janne PA Differential effects of gefitinib and cetuximab on non-small-cell lung cancers bearing epidermal growth factor receptor mutations Journal of the National Cancer Institute 2005 97 1185 1194 16106023
  66. [75]Song JM Anandharaj A Upadhyaya P Kirtane AR Kim JH Hong KH Panyam J Kassie F Honokiol suppresses lung tumorigenesis by targeting EGFR and its downstream effectors Oncotarget 2016 7 57752 57769 http://doi.org/10.18632/oncotarget.10759 27458163 PMC5295387 · DOI
  67. [76]Bell DW Gore I Okimoto RA Godin-Heymann N Sordella R Mulloy R Sharma SV Brannigan BW Mohapatra G Settleman J Haber DA Inherited susceptibility to lung cancer may be associated with the T790M drug resistance mutation in EGFR Nat Genet 2005 37 1315 1316 16258541
  68. [77]Shih JY Gow CH Yang PC EGFR mutation conferring primary resistance to gefitinib in non-small-cell lung cancer N Engl J Med 2005 353 207 208 16014893
  69. [78]Riss TL Moravec TA Niles AL Duellman S Benink HA Worzella TJ Minor L Cell Viability Assays BTI - Assay Guidance Manual https://www.ncbi.nlm.nih.gov/books/NBK144065/
  70. [79]Gow CH Shih JY Chang YL Yu CJ Acquired gefitinib-resistant mutation of EGFR in a chemonaive lung adenocarcinoma harboring gefitinib-sensitive mutation L858R PLoS Med 2005 2 e269 16173832 PMC1236792
  71. [80]Phuchareon J McCormick F Eisele DW Tetsu O EGFR inhibition evokes innate drug resistance in lung cancer cells by preventing Akt activity and thus inactivating Ets-1 function Proceedings of the National Academy of Sciences of the United States of America 2015 112 E3855 3863 26150526 PMC4517222
  72. [81]Ying H Yang XD Sun Z Ning X Wang Y Bai C Chen S Wang Y Lifestyle risks exposure and response predictor of gefitinib in patients with non-small cell lung cancer Med Oncol 2014 31 220 25216867
  73. [82]Rose MC Kostyanovskaya E Huang RS Pharmacogenomics of cisplatin sensitivity in non-small cell lung cancer Genomics, proteomics & bioinformatics 2014 12 198 209 PMC4411417 25449594
  74. [83]Fennell DA Summers Y Cadranel J Benepal T Christoph DC Lal R Das M Maxwell F Visseren-Grul C Ferry D Cisplatin in the modern era: The backbone of first-line chemotherapy for non-small cell lung cancer Cancer Treat Rev 2016 44 42 50 26866673
  75. [84]Joerger M von Pawel J Kraff S Fischer JR Eberhardt W Gauler TC Mueller L Reinmuth N Reck M Kimmich M Mayer F Kopp HG Behringer DM Open-label, randomized study of individualized, pharmacokinetically (PK)-guided dosing of paclitaxel combined with carboplatin or cisplatin in patients with advanced non-small-cell lung cancer (NSCLC) Ann Oncol 2016 27 1895 1902 27502710
  76. [85]Friberg S Mattson S On the growth rates of human malignant tumors: implications for medical decision making J Surg Oncol 1997 65 284 297 9274795
  77. [86]Spratt JS Meyer JS Spratt JA Rates of growth of human neoplasms: Part II J Surg Oncol 1996 61 68 83 8544465
  78. [87]Spratt JS Jr Spratt TL Rates of Growth of Pulmonary Metastases and Host Survival Ann Surg 1964 159 161 171 14119181 PMC1408505
  79. [88]Arai T Kuroishi T Saito Y Kurita Y Naruke T Kaneko M Tumor doubling time and prognosis in lung cancer patients: evaluation from chest films and clinical follow-up study Japanese Lung Cancer Screening Research Group Jpn J Clin Oncol 1994 24 199 204 8072198
  80. [89]Freyer JP Schor PL Regrowth kinetics of cells from different regions of multicellular spheroids of four cell lines J Cell Physiol 1989 138 384 392 2918040
  81. [90]Jiang X Li H Xie J McKinley ET Zhao P Gore JC Xu J In vivo imaging of cancer cell size and cellularity using temporal diffusion spectroscopy Magn Reson Med 2017 78 156 164 27495144 PMC5293685
  82. [91]McMillin DW Negri JM Mitsiades CS The role of tumour-stromal interactions in modifying drug response: challenges and opportunities Nature reviews Drug discovery 2013 12 217 228 23449307
  83. [93]Barretina J Caponigro G Stransky N Venkatesan K Margolin AA Kim S Wilson CJ Lehar J Kryukov GV Sonkin D Reddy A Liu M Murray L The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity Nature 2012 483 603 607 22460905 PMC3320027
  84. [94]Shoemaker RH The NCI60 human tumour cell line anticancer drug screen Nature reviews Cancer 2006 6 813 823 16990858
  85. [95]Jung SK Lee MH Lim DY Lee SY Jeong CH Kim JE Lim TG Chen H Bode AM Lee HJ Lee KW Dong Z Butein, a novel dual inhibitor of MET and EGFR, overcomes gefitinib-resistant lung cancer growth Molecular carcinogenesis 2014 54 322 331 24974831
  86. [96]Chan GK Kleinheinz TL Peterson D Moffat JG A simple high-content cell cycle assay reveals frequent discrepancies between cell number and ATP and MTS proliferation assays PloS one 2013 8 e63583 23691072 PMC3656927
  87. [97]Jang WJ Jung SK Kang JS Jeong JW Bae MK Joo SH Park GH Kundu JK Hong YS Jeong CH Anti-tumor activity of WK88-1, a novel geldanamycin derivative, in gefitinib-resistant non-small cell lung cancers with Met amplification Cancer science 2014 105 1245 1253 25117641 PMC4462346
  88. [98]Zou M Xia S Zhuang L Han N Chu Q Chao T Peng P Chen Y Gui Q Yu S Knockdown of the Bcl-2 gene increases sensitivity to EGFR tyrosine kinase inhibitors in the H1975 lung cancer cell line harboring T790M mutation International journal of oncology 2013 42 2094 2102 23588221
  89. [99]Song JY Kim CS Lee JH Jang SJ Lee SW Hwang JJ Lim C Lee G Seo J Cho SY Choi J Dual inhibition of MEK1/2 and EGFR synergistically induces caspase-3-dependent apoptosis in EGFR inhibitor-resistant lung cancer cells via BIM upregulation Investigational new drugs 2013 31 1458 1465 24068620
  90. [100]Kwak EL Sordella R Bell DW Godin-Heymann N Okimoto RA Brannigan BW Harris PL Driscoll DR Fidias P Lynch TJ Rabindran SK McGinnis JP Wissner A Irreversible inhibitors of the EGF receptor may circumvent acquired resistance to gefitinib Proceedings of the National Academy of Sciences of the United States of America 2005 102 7665 7670 15897464 PMC1129023
  91. [101]Merz F Gaunitz F Dehghani F Renner C Meixensberger J Gutenberg A Giese A Schopow K Hellwig C Schafer M Bauer M Stocker H Taucher-Scholz G Organotypic slice cultures of human glioblastoma reveal different susceptibilities to treatments Neuro Oncol 2013 15 670 681 23576601 PMC3661091
  92. [102]Dolznig H Rupp C Puri C Haslinger C Schweifer N Wieser E Kerjaschki D Garin-Chesa P Modeling colon adenocarcinomas in vitro a 3D co-culture system induces cancer-relevant pathways upon tumor cell and stromal fibroblast interaction The American journal of pathology 2011 179 487 501 21703426 PMC3123876
  93. [103]Frieboes HB Zheng X Sun CH Tromberg B Gatenby R Cristini V An integrated computational/experimental model of tumor invasion Cancer research 2006 66 1597 1604 16452218
  94. [104]Erlichman C Tannock IF Growth, characterization of multicellular tumor spheroids of human bladder carcinoma origin In Vitro Cell Dev Biol 1986 22 449 456 3733640
  95. [105]De Sousa EMF Vermeulen L Fessler E Medema JP Cancer heterogeneity--a multifaceted view EMBO Rep 2013 14 686 695 23846313 PMC3736134
  96. [106]Mueller-Klieser W Tumor biology and experimental therapeutics Critical Reviews in Oncology/Hematology 2000 36 123 139 11033302
  97. [107]Chignola R Computational Challenges of tumor spheroid modeling Journal of Bioinformatics and Computational Biology 2010 9 559 577 21776609
  98. [108]Maemondo M Inoue A Kobayashi K Sugawara S Oizumi S Isobe H Gemma A Harada M Yoshizawa H Kinoshita I Fujita Y Okinaga S Hirano H Gefitinib or chemotherapy for non-small-cell lung cancer with mutated EGFR N Engl J Med 2010 362 2380 2388 20573926
  99. [109]Douillard JY Ostoros G Cobo M Ciuleanu T McCormack R Webster A Milenkova T First-line gefitinib in Caucasian EGFR mutation-positive NSCLC patients: a phase-IV, open-label, single-arm study Br J Cancer 2014 110 55 62 24263064 PMC3887309
  100. [110]Weigelt B Lo AT Park CC Gray JW Bissell MJ HER2 signaling pathway activation and response of breast cancer cells to HER2-targeting agents is dependent strongly on the 3D microenvironment Breast Cancer Res Treat 2010 122 35 43 19701706 PMC2935800
  101. [111]Eimer S Dugay F Airiau K Avril T Quillien V Belaud-Rotureau MA Belloc F Cyclopamine cooperates with EGFR inhibition to deplete stem-like cancer cells in glioblastoma-derived spheroid cultures Neuro Oncol 2012 14 1441 1451 23104476 PMC3499019
  102. [112]Ekert JE Johnson K Strake B Pardinas J Jarantow S Perkinson R Colter DC Three-dimensional lung tumor microenvironment modulates therapeutic compound responsiveness in vitro—implication for drug development PloS one 2014 9 e92248 24638075 PMC3956916
  103. [113]Lama R Zhang L Naim JM Williams J Zhou A Su B Development, validation and pilot screening of an in vitro multi-cellular three-dimensional cancer spheroid assay for anti-cancer drug testing Bioorg Med Chem 2013 21 922 931 23306053
  104. [114]Kim SH Choi SJ Kim YC Kuh HJ Anti-tumor activity of noble indirubin derivatives in human solid tumor models in vitro Arch Pharm Res 2009 32 915 922 19557370
  105. [115]Chambers KF Mosaad EMO Russell PJ Clements JA Doran MR 3D Cultures of Prostate Cancer Cells Cultured in a Novel High-Throughput Culture Platform Are More Resistant to Chemotherapeutics Compared to Cells Cultured in Monolayer PloS one 2014 9 e111029 25380249 PMC4224379
  106. [116]Friedrich J Seidel C Ebner R Kunz-Schughart LA Spheroid-based drug screen: considerations and practical approach Nature protocols 2009 4 309 324 19214182
  107. [117]Singhirunnusorn P Ueno Y Matsuo M Suzuki S Saiki I Sakurai H Transient suppression of ligand-mediated activation of epidermal growth factor receptor by tumor necrosis factor-alpha through the TAK1-p38 signaling pathway J Biol Chem 2007 282 12698 12706 17327237
  108. [118]Bissel MJ The morphologies of breast cancer cell lines in three-dimensional assays correlate with their profiles of gene expression Molecular oncology 2007 1 84 96 18516279 PMC2391005
  109. [121]Pugazhenthi S Nesterova A Sable C Heidenreich KA Boxer LM Heasley LE Reusch JE Akt/protein kinase B up-regulates Bcl-2 expression through cAMP-response element-binding protein J Biol Chem 2000 275 10761 10766 10753867
  110. [122]Ricciardi MR Mirabilii S Licchetta R Piedimonte M Tafuri A Targeting the Akt, GSK-3, Bcl-2 axis in acute myeloid leukemia Adv Biol Regul 2017 65 36 58 28549531
  111. [123]Zhou C Ding J Wu Y Resveratrol induces apoptosis of bladder cancer cells via miR21 regulation of the Akt/Bcl2 signaling pathway Mol Med Rep 2014 9 1467 1473 24535223
  112. [124]Kunz-Schughart LA Heyder P Schroeder J Knuechel R A heterologous 3-D coculture model of breast tumor cells and fibroblasts to study tumor-associated fibroblast differentiation Experimental cell research 2001 266 74 86 11339826
  113. [125]Bhadriraju K Chen S Engineering cellular microenvironments to improve cell-based drug testing Drug discovery today 2002 7 612 620 12047872
  114. [126]Rupp C Scherzer M Rudisch A Unger C Haslinger C Schweifer N Artaker M Nivarthi H Moriggl R Hengstschlager M Kerjaschki D Sommergruber W Dolznig H IGFBP7, a novel tumor stroma marker, with growth-promoting effects in colon cancer through a paracrine tumor-stroma interaction Oncogene 2015 34 815 825 24632618
  115. [127]Wang W Li Q Yamada T Matsumoto K Matsumoto I Oda M Watanabe G Kayano Y Nishioka Y Sone S Yano S Crosstalk to stromal fibroblasts induces resistance of lung cancer to epidermal growth factor receptor tyrosine kinase inhibitors Clin Cancer Res 2009 15 6630 6638 19843665
  116. [128]Choe C Shin YS Kim C Choi SJ Lee J Kim SY Cho YB Kim J Crosstalk with cancer-associated fibroblasts induces resistance of non-small cell lung cancer cells to epidermal growth factor receptor tyrosine kinase inhibition Onco Targets Ther 2015 8 3665 3678 26676152 PMC4676617
  117. [129]Mink SR Vashistha S Zhang W Hodge A Agus DB Jain A Cancer-associated fibroblasts derived from EGFR-TKI-resistant tumors reverse EGFR pathway inhibition by EGFR-TKIs Molecular cancer research: MCR 2010 8 809 820 20530582 PMC2891820
  118. [130]Li L Zhou Q Voss TC Quick KL LaBarbera DV High-throughput imaging: Focusing in on drug discovery in 3D Methods 2016 96 97 102 26608110 PMC4766031
  119. [131]Howes AL Richardson RD Finlay D Vuori K 3-Dimensional culture systems for anti-cancer compound profiling and high-throughput screening reveal increases in EGFR inhibitor-mediated cytotoxicity compared to monolayer culture systems PloS one 2014 9 e108283 25247711 PMC4172726
  120. [132]Laemmli UK Cleavage of structural proteins during the assembly of the head of bacteriophage T4 Nature 1970 227 680 685 5432063
  121. [133]Irizarry RA Bolstad BM Collin F Cope LM Hobbs B Speed TP Summaries of Affymetrix GeneChip probe level data Nucleic Acids Res 2003 31 e15 12582260 PMC150247
  122. [134]Gentleman RC Carey VJ Bates DM Bolstad B Dettling M Dudoit S Ellis B Gautier L Ge Y Gentry J Hornik K Hothorn T Huber W Bioconductor: open software development for computational biology and bioinformatics Genome Biol 2004 5 R80 15461798 PMC545600
  123. [135]Smyth GK Linear models and empirical bayes methods for assessing differential expression in microarray experiments Stat Appl Genet Mol Biol 2004 3 Article3 16646809
  124. [136]Benjamini Y Drai D Elmer G Kafkafi N Golani I Controlling the false discovery rate in behavior genetics research Behav Brain Res 2001 125 279 284 11682119
  125. [137]Smyth G Limma: linear models for microarray data New York Springer 2005
  126. [138]Carvalho BS Irizarry RA A framework for oligonucleotide microarray preprocessing Bioinformatics 2010 26 2363 2367 20688976 PMC2944196
  127. [140]Alter O Brown PO Botstein D Singular value decomposition for genome-wide expression data processing and modeling Proceedings of the National Academy of Sciences of the United States of America 2000 97 10101 10106 10963673 PMC27718
  128. [141]Langfelder P Horvath S WGCNA: an R package for weighted correlation network analysis BMC Bioinformatics 2008 9 559 19114008 PMC2631488

Cited by

Sorted by citations

Authors
Jacobi, N., Seeboeck, R., Hofmann, E., Schweiger, H., Smolinska, V., Mohr, T., Boyer, A., Sommergruber, W., Lechner, P., Pichler-Huebschmann, C., Önder, K., Hundsberger, H., Wiesner, C., & Eger, A.
Affiliations
  • IMC University of Applied Sciences Krems (AT)
  • IMC University of Applied Sciences Krems, Department Life Sciences, Research Institute for Applied Bioanalytics and Drug Development, A-3500 Krems, Austria
  • Medical University of Vienna (AT)
  • Boehringer Ingelheim (Austria) (AT)
  • Universitätsklinikum Tulln (AT)
  • University of Salzburg (AT)
Corresponding author
Eger, Andreas
Venue
Oncotarget
Published
2017-11-17
Volume
8
Issue
64
Pages
107423-107440
ISSN
1949-2553 (ISSN-L)
OpenAlex
W2769445627
Cited by
43
References
12
Citations by year
2026: 2 · 2025: 3 · 2024: 3 · 2023: 4 · 2022: 6 · 2021: 9 · 2020: 9 · 2019: 6 · 2018: 1
FWCI
1.93
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Oncotarget (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Oncology › HER2/EGFR in Cancer Research
  • Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
  • Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
Keywords
cancer cell models, EGFR signaling, EGFR inhibitors, drug sensitivity, ErbB family, oncogene addiction, apoptosis, cell survival genes, cytotoxic drugs, 2D vs 3D culture comparison, intercellular communication, cell polarity, targeted therapy

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