3D bioprinting and the revolution in experimental cancer model systems—A review of
developing new models and experiences with in vitro 3D bioprinted breast cancer tissue-mimetic
structures
Thematic Institutional Excellence Programme(TKP2021-EGA-24) Funder: Ministry of Human
Capacities
(FK-128404) Funder: NRDIO
(K-142799) Funder: NKFI
(PD-142418) Funder: NKFI
Az orvos-, egészségtudományi- és gyógyszerészképzés tudományos műhelyeinek fejlesztése(EFOP-3.6.3-VEKOP-16-2017-00009)
Funder: EFOP-VEKOP
Subjects:
Pathology
Growing evidence propagates those alternative technologies (relevant human cell-based—e.g.,
organ-on-chips or biofabricated models—or artificial intelligence-combined technologies)
that could help in vitro test and predict human response and toxicity in medical research
more accurately. In vitro disease model developments have great efforts to create
and serve the need of reducing and replacing animal experiments and establishing human
cell-based in vitro test systems for research use, innovations, and drug tests. We
need human cell-based test systems for disease models and experimental cancer research;
therefore, in vitro three-dimensional (3D) models have a renaissance, and the rediscovery
and development of these technologies are growing ever faster. This recent paper summarises
the early history of cell biology/cellular pathology, cell-, tissue culturing, and
cancer research models. In addition, we highlight the results of the increasing use
of 3D model systems and the 3D bioprinted/biofabricated model developments. Moreover,
we present our newly established 3D bioprinted luminal B type breast cancer model
system, and the advantages of in vitro 3D models, especially the bioprinted ones.
Based on our results and the reviewed developments of in vitro breast cancer models,
the heterogeneity and the real in vivo situation of cancer tissues can be represented
better by using 3D bioprinted, biofabricated models. However, standardising the 3D
bioprinting methods is necessary for future applications in different high-throughput
drug tests and patient-derived tumour models. Applying these standardised new models
can lead to the point that cancer drug developments will be more successful, efficient,
and consequently cost-effective in the near future.