
doi: 10.3390/jcm9092774
pmid: 32867142
pmc: PMC7564148
handle: 11588/823427 , 11369/466193 , 11586/316556
doi: 10.3390/jcm9092774
pmid: 32867142
pmc: PMC7564148
handle: 11588/823427 , 11369/466193 , 11586/316556
Translational medicine aims to translate the most promising preclinical research into clinical practice. Oncology is a continuously growing medical field: the scientific research on cancer biology is currently based on in vitro experiments, carried out on tissue culture plates (TCPs) and other 2D samples. In this context, 3D printing has greatly improved the biofabrication of new biological matrices that mimic the extracellular environments, which may characterize healthy from cancerous tissues. Organoids have recently been described in several reports on scientific literature. The term that better describes such organoids-based tumoral tissues is “tumoroids”. Tumoroids are substantially “tumor-like organoids”, typically deriving from primary tumors harvested from patients. This topical review aims to give an update on organoids applied in translational medicine, paying specific attention to their use in the investigation of the main molecular mechanisms of cancer onset and growth, and on the most impacting strategies for effective targeted therapies.
scaffolds; tissue engineering; translational medicine, translational medicine, scaffolds, tissue engineering, 616, 610, Review, scaffold
scaffolds; tissue engineering; translational medicine, translational medicine, scaffolds, tissue engineering, 616, 610, Review, scaffold
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 29 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
