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For: Rodrigues J, Heinrich MA, Teixeira LM, Prakash J. 3D In Vitro Model (R)evolution: Unveiling Tumor–Stroma Interactions. Trends in Cancer 2021;7:249-64. [DOI: 10.1016/j.trecan.2020.10.009] [Cited by in Crossref: 21] [Cited by in F6Publishing: 19] [Article Influence: 21.0] [Reference Citation Analysis]
Number Citing Articles
1 Ronaldson-bouchard K, Baldassarri I, Naveed Tavakol D, Graney PL, Samaritano M, Cimetta E, Vunjak-novakovic G. Engineering complexity in human tissue models of cancer. Advanced Drug Delivery Reviews 2022. [DOI: 10.1016/j.addr.2022.114181] [Reference Citation Analysis]
2 Khawar IA, Ghosh T, Park JK, Kuh H. Tumor spheroid-based microtumor models for preclinical evaluation of anticancer nanomedicines. J Pharm Investig 2021;51:541-53. [DOI: 10.1007/s40005-021-00534-y] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
3 Franklin MR, Platero S, Saini KS, Curigliano G, Anderson S. Immuno-oncology trends: preclinical models, biomarkers, and clinical development. J Immunother Cancer 2022;10:e003231. [PMID: 35022192 DOI: 10.1136/jitc-2021-003231] [Reference Citation Analysis]
4 Xie H, Appelt JW, Jenkins RW. Going with the Flow: Modeling the Tumor Microenvironment Using Microfluidic Technology. Cancers (Basel) 2021;13:6052. [PMID: 34885161 DOI: 10.3390/cancers13236052] [Reference Citation Analysis]
5 Kotecki N, Kindt N, Krayem M, Awada A. New horizons in early drugs development in solid cancers. Curr Opin Oncol 2021;33:513-9. [PMID: 34310410 DOI: 10.1097/CCO.0000000000000766] [Reference Citation Analysis]
6 Marrazzo P, Cricca M, Nastasi C. Are the Organoid Models an Invaluable Contribution to ZIKA Virus Research? Pathogens 2021;10:1233. [PMID: 34684182 DOI: 10.3390/pathogens10101233] [Reference Citation Analysis]
7 Poggi A, Villa F, Fernadez JLC, Costa D, Zocchi MR, Benelli R. Three-Dimensional Culture Models to Study Innate Anti-Tumor Immune Response: Advantages and Disadvantages. Cancers (Basel) 2021;13:3417. [PMID: 34298630 DOI: 10.3390/cancers13143417] [Reference Citation Analysis]
8 Liverani C, De Vita A, Spadazzi C, Miserocchi G, Cocchi C, Bongiovanni A, De Lucia A, La Manna F, Fabbri F, Tebaldi M, Amadori D, Tasciotti E, Martinelli G, Mercatali L, Ibrahim T. Lineage-specific mechanisms and drivers of breast cancer chemoresistance revealed by 3D biomimetic culture. Mol Oncol 2021. [PMID: 34109737 DOI: 10.1002/1878-0261.13037] [Reference Citation Analysis]
9 Choi JR, Kozalak G, di Bari I, Babar Q, Niknam Z, Rasmi Y, Yong KW. In Vitro Human Cancer Models for Biomedical Applications. Cancers 2022;14:2284. [DOI: 10.3390/cancers14092284] [Reference Citation Analysis]
10 DePalma TJ, Sivakumar H, Skardal A. Strategies for developing complex multi-component in vitro tumor models: Highlights in glioblastoma. Adv Drug Deliv Rev 2021;180:114067. [PMID: 34822927 DOI: 10.1016/j.addr.2021.114067] [Reference Citation Analysis]
11 Martinez-Pacheco S, O'Driscoll L. Pre-Clinical In Vitro Models Used in Cancer Research: Results of a Worldwide Survey. Cancers (Basel) 2021;13:6033. [PMID: 34885142 DOI: 10.3390/cancers13236033] [Reference Citation Analysis]
12 Caballero D, Abreu CM, Lima AC, Neves NN, Reis RL, Kundu SC. Precision biomaterials in cancer theranostics and modelling. Biomaterials 2022;280:121299. [PMID: 34871880 DOI: 10.1016/j.biomaterials.2021.121299] [Reference Citation Analysis]
13 Yi HG. Introduction to bioprinting of in vitro cancer models. Essays Biochem 2021:EBC20200104. [PMID: 34028520 DOI: 10.1042/EBC20200104] [Reference Citation Analysis]
14 Zheng X, Sun Y, Li H, Li N, Zhang X, Lin J. Biomimetic multifactor stimulation method for analyzing the synergism of matrix stiffness and inorganic polyphosphates on cellular behaviors. Talanta 2022;241:123222. [DOI: 10.1016/j.talanta.2022.123222] [Reference Citation Analysis]
15 Horder H, Guaza Lasheras M, Grummel N, Nadernezhad A, Herbig J, Ergün S, Teßmar J, Groll J, Fabry B, Bauer-Kreisel P, Blunk T. Bioprinting and Differentiation of Adipose-Derived Stromal Cell Spheroids for a 3D Breast Cancer-Adipose Tissue Model. Cells 2021;10:803. [PMID: 33916870 DOI: 10.3390/cells10040803] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
16 Affolter A, Lammert A, Kern J, Scherl C, Rotter N. Precision Medicine Gains Momentum: Novel 3D Models and Stem Cell-Based Approaches in Head and Neck Cancer. Front Cell Dev Biol 2021;9:666515. [PMID: 34307351 DOI: 10.3389/fcell.2021.666515] [Reference Citation Analysis]
17 Creixell M, Kim H, Mohammadi F, Peyton SR, Meyer AS. Systems approaches to uncovering the contribution of environment-mediated drug resistance. Current Opinion in Solid State and Materials Science 2022;26:101005. [DOI: 10.1016/j.cossms.2022.101005] [Reference Citation Analysis]
18 Syama K, Hassan EM, Zou S. Advances in culture methods for acute myeloid leukemia research. Oncoscience 2021;8:82-90. [PMID: 34368398 DOI: 10.18632/oncoscience.540] [Reference Citation Analysis]
19 Parisi C, Qin K, Fernandes FM. Colonization versus encapsulation in cell-laden materials design: porosity and process biocompatibility determine cellularization pathways. Philos Trans A Math Phys Eng Sci 2021;379:20200344. [PMID: 34334019 DOI: 10.1098/rsta.2020.0344] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
20 Fontana F, Marzagalli M, Sommariva M, Gagliano N, Limonta P. In Vitro 3D Cultures to Model the Tumor Microenvironment. Cancers (Basel) 2021;13:2970. [PMID: 34199324 DOI: 10.3390/cancers13122970] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
21 Franchi-Mendes T, Lopes N, Brito C. Heterotypic Tumor Spheroids in Agitation-Based Cultures: A Scaffold-Free Cell Model That Sustains Long-Term Survival of Endothelial Cells. Front Bioeng Biotechnol 2021;9:649949. [PMID: 34178955 DOI: 10.3389/fbioe.2021.649949] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
22 Humphries JD, Zha J, Burns J, Askari JA, Below CR, Chastney MR, Jones MC, Mironov A, Knight D, O'reilly DA, Dunne MJ, Garrod DR, Jorgensen C, Humphries MJ. Pancreatic ductal adenocarcinoma cells employ integrin α6β4 to form hemidesmosomes and regulate cell proliferation. Matrix Biology 2022. [DOI: 10.1016/j.matbio.2022.03.010] [Reference Citation Analysis]
23 Plou J, Molina-Martínez B, García-Astrain C, Langer J, García I, Ercilla A, Perumal G, Carracedo A, Liz-Marzán LM. Nanocomposite Scaffolds for Monitoring of Drug Diffusion in Three-Dimensional Cell Environments by Surface-Enhanced Raman Spectroscopy. Nano Lett 2021;21:8785-93. [PMID: 34614348 DOI: 10.1021/acs.nanolett.1c03070] [Reference Citation Analysis]
24 Casagrande N, Borghese C, Aldinucci D. Current and Emerging Approaches to Study Microenvironmental Interactions and Drug Activity in Classical Hodgkin Lymphoma. Cancers 2022;14:2427. [DOI: 10.3390/cancers14102427] [Reference Citation Analysis]
25 Baião A, Dias S, Soares AF, Pereira CL, Oliveira C, Sarmento B. Advances in the use of 3D colorectal cancer models for novel drug discovery. Expert Opin Drug Discov 2022;:1-12. [PMID: 35343351 DOI: 10.1080/17460441.2022.2056162] [Reference Citation Analysis]
26 Dias AS, Helguero L, Almeida CR, Duarte IF. Natural Compounds as Metabolic Modulators of the Tumor Microenvironment. Molecules 2021;26:3494. [PMID: 34201298 DOI: 10.3390/molecules26123494] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
27 Bergelson J, Kreitman M, Petrov DA, Sanchez A, Tikhonov M. Functional biology in its natural context: A search for emergent simplicity. Elife 2021;10:e67646. [PMID: 34096867 DOI: 10.7554/eLife.67646] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 4.0] [Reference Citation Analysis]
28 Franchi-Mendes T, Eduardo R, Domenici G, Brito C. 3D Cancer Models: Depicting Cellular Crosstalk within the Tumour Microenvironment. Cancers (Basel) 2021;13:4610. [PMID: 34572836 DOI: 10.3390/cancers13184610] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
29 Imlimthan S, Moon ES, Rathke H, Afshar-Oromieh A, Rösch F, Rominger A, Gourni E. New Frontiers in Cancer Imaging and Therapy Based on Radiolabeled Fibroblast Activation Protein Inhibitors: A Rational Review and Current Progress. Pharmaceuticals (Basel) 2021;14:1023. [PMID: 34681246 DOI: 10.3390/ph14101023] [Reference Citation Analysis]
30 Golinelli G, Talami R, Frabetti S, Candini O, Grisendi G, Spano C, Chiavelli C, Arnaud GF, Mari G, Dominici M. A 3D Platform to Investigate Dynamic Cell-to-Cell Interactions Between Tumor Cells and Mesenchymal Progenitors. Front Cell Dev Biol 2022;9:767253. [DOI: 10.3389/fcell.2021.767253] [Reference Citation Analysis]
31 Azizipour N, Avazpour R, Weber MH, Sawan M, Ajji A, Rosenzweig DH. Uniform Tumor Spheroids on Surface-Optimized Microfluidic Biochips for Reproducible Drug Screening and Personalized Medicine. Micromachines 2022;13:587. [DOI: 10.3390/mi13040587] [Reference Citation Analysis]
32 Kniebs C, Luengen AE, Guenther D, Cornelissen CG, Schmitz-Rode T, Jockenhoevel S, Thiebes AL. Establishment of a Pre-vascularized 3D Lung Cancer Model in Fibrin Gel-Influence of Hypoxia and Cancer-Specific Therapeutics. Front Bioeng Biotechnol 2021;9:761846. [PMID: 34722481 DOI: 10.3389/fbioe.2021.761846] [Reference Citation Analysis]
33 Shabalina EY, Skorova EY, Chudakova DA, Anikin VB, Reshetov IV, Mynbaev OA, Petersen EV. The matrix-dependent 3D spheroid model of the migration of non-small cell lung cancer: a step towards a rapid automated screening. Front Mol Biosci 2021;8:610407. [PMID: 34422897 DOI: 10.3389/fmolb.2021.610407] [Reference Citation Analysis]
34 Chakraborty S, Depalma TJ, Skardal A. Increasing Accuracy of In Vitro Cancer Models: Engineering Stromal Complexity into Tumor Organoid Platforms. Adv NanoBio Res 2021;1:2100061. [DOI: 10.1002/anbr.202100061] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
35 La Verde G, Artiola V, Panzetta V, Pugliese M, Netti PA, Fusco S. Cytoskeleton Response to Ionizing Radiation: A Brief Review on Adhesion and Migration Effects. Biomedicines 2021;9:1102. [PMID: 34572287 DOI: 10.3390/biomedicines9091102] [Reference Citation Analysis]
36 Bae IY, Choi W, Oh SJ, Kim C, Kim S. TIMP ‐1‐expressing breast tumor spheroids for the evaluation of drug penetration and efficacy. Bioengineering & Transla Med. [DOI: 10.1002/btm2.10286] [Reference Citation Analysis]
37 Heinrich MA, Mangia M, Prakash J. Impact of endotoxins on bioengineered tissues and models. Trends Biotechnol 2021:S0167-7799(21)00292-4. [PMID: 34953616 DOI: 10.1016/j.tibtech.2021.12.001] [Reference Citation Analysis]
38 Jang SD, Song J, Kim HA, Im CN, Khawar IA, Park JK, Kuh HJ. Anti-Cancer Activity Profiling of Chemotherapeutic Agents in 3D Co-Cultures of Pancreatic Tumor Spheroids with Cancer-Associated Fibroblasts and Macrophages. Cancers (Basel) 2021;13:5955. [PMID: 34885065 DOI: 10.3390/cancers13235955] [Reference Citation Analysis]
39 Hsieh PH, Huang WY, Wang HC, Kuan CH, Shiue TY, Chen Y, Wang TW. Dual-responsive polypeptide nanoparticles attenuate tumor-associated stromal desmoplasia and anticancer through programmable dissociation. Biomaterials 2022;284:121469. [PMID: 35344799 DOI: 10.1016/j.biomaterials.2022.121469] [Reference Citation Analysis]
40 Hakim M, Kermanshah L, Abouali H, Hashemi HM, Yari A, Khorasheh F, Alemzadeh I, Vossoughi M. Unraveling Cancer Metastatic Cascade Using Microfluidics-based Technologies. Biophys Rev. [DOI: 10.1007/s12551-022-00944-8] [Reference Citation Analysis]
41 Beeghly GF, Thomas C, Yuan JX, Harris AR, Munson JM. Designing Patient-Driven, Tissue-Engineered Models of Primary and Metastatic Breast Cancer. Bioengineering 2022;9:44. [DOI: 10.3390/bioengineering9020044] [Reference Citation Analysis]
42 Wanigasekara J, Barcia C, Cullen PJ, Tiwari B, Curtin JF. Plasma induced reactive oxygen species‐dependent cytotoxicity in glioblastoma 3D tumourspheres. Plasma Processes & Polymers. [DOI: 10.1002/ppap.202100157] [Reference Citation Analysis]
43 Morimoto N, Ota K, Miura Y, Shin H, Yamamoto M. Sulfobetaine polymers for effective permeability into multicellular tumor spheroids (MCTSs). J Mater Chem B 2022. [PMID: 35024722 DOI: 10.1039/d1tb02337c] [Reference Citation Analysis]
44 Lopes N, Correia VG, Palma AS, Brito C. Cracking the Breast Cancer Glyco-Code through Glycan-Lectin Interactions: Targeting Immunosuppressive Macrophages. Int J Mol Sci 2021;22:1972. [PMID: 33671245 DOI: 10.3390/ijms22041972] [Reference Citation Analysis]
45 Carter EP, Roozitalab R, Gibson SV, Grose RP. Tumour microenvironment 3D-modelling: simplicity to complexity and back again. Trends Cancer 2021:S2405-8033(21)00141-2. [PMID: 34312120 DOI: 10.1016/j.trecan.2021.06.009] [Reference Citation Analysis]
46 Propper DJ, Balkwill FR. Harnessing cytokines and chemokines for cancer therapy. Nat Rev Clin Oncol 2022. [PMID: 34997230 DOI: 10.1038/s41571-021-00588-9] [Reference Citation Analysis]
47 Imparato G, Urciuolo F, Netti PA. Organ on Chip Technology to Model Cancer Growth and Metastasis. Bioengineering (Basel) 2022;9:28. [PMID: 35049737 DOI: 10.3390/bioengineering9010028] [Reference Citation Analysis]
48 Kuehlbach C, Hensler S, Mueller MM. Recapitulating the Angiogenic Switch in a Hydrogel-Based 3D In Vitro Tumor-Stroma Model. Bioengineering (Basel) 2021;8:186. [PMID: 34821752 DOI: 10.3390/bioengineering8110186] [Reference Citation Analysis]
49 Madsen NH, Nielsen BS, Nhat SL, Skov S, Gad M, Larsen J. Monocyte Infiltration and Differentiation in 3D Multicellular Spheroid Cancer Models. Pathogens 2021;10:969. [PMID: 34451433 DOI: 10.3390/pathogens10080969] [Reference Citation Analysis]
50 Giordano F, Lenna S, Rampado R, Brozovich A, Hirase T, Tognon MG, Martini F, Agostini M, Yustein JT, Taraballi F. Nanodelivery Systems Face Challenges and Limitations in Bone Diseases Management. Adv Therap 2021;4:2100152. [DOI: 10.1002/adtp.202100152] [Reference Citation Analysis]
51 Pednekar KP, Heinrich MA, van Baarlen J, Prakash J. Novel 3D µtissues Mimicking the Fibrotic Stroma in Pancreatic Cancer to Study Cellular Interactions and Stroma-Modulating Therapeutics. Cancers (Basel) 2021;13:5006. [PMID: 34638490 DOI: 10.3390/cancers13195006] [Reference Citation Analysis]
52 Pineda JR, Badiola I, Ibarretxe G. Stem and Cancer Stem Cell Identities, Cellular Markers, Niche Environment and Response to Treatments to Unravel New Therapeutic Targets. Biology (Basel) 2021;10:25. [PMID: 33401684 DOI: 10.3390/biology10010025] [Reference Citation Analysis]
53 Sivakumar S, Schmid R, Wieland A, Strissel PL, Strick R, Fischer L, Thievessen I, Kataev E, Arkudas A, Horch RE, Schubert DW, Kengelbach‐weigand A. Role of Fiber Thickness and Surface Treatment of Electrospun Polycaprolactone Matrices on the Growth of Different Breast Cancer‐Associated Cells. Adv Materials Inter. [DOI: 10.1002/admi.202101808] [Reference Citation Analysis]
54 Contessi Negrini N, Ricci C, Bongiorni F, Trombi L, D’alessandro D, Danti S, Farè S. An Osteosarcoma Model by 3D Printed Polyurethane Scaffold and In Vitro Generated Bone Extracellular Matrix. Cancers 2022;14:2003. [DOI: 10.3390/cancers14082003] [Reference Citation Analysis]
55 Malacrida B, Nichols S, Maniati E, Jones R, Delanie-Smith R, Roozitalab R, Tyler EJ, Thomas M, Boot G, Mackerodt J, Lockley M, Knight MM, Balkwill FR, Pearce OMT. A human multi-cellular model shows how platelets drive production of diseased extracellular matrix and tissue invasion. iScience 2021;24:102676. [PMID: 34189439 DOI: 10.1016/j.isci.2021.102676] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
56 Antunes N, Kundu B, Kundu SC, Reis RL, Correlo V. In Vitro Cancer Models: A Closer Look at Limitations on Translation. Bioengineering 2022;9:166. [DOI: 10.3390/bioengineering9040166] [Reference Citation Analysis]