Evidence map›Paper›PMID 36839692›Full record

ArticlePharmaceutics2023

Comparative Analysis of Dasatinib Effect between 2D and 3D Tumor Cell Cultures.

Samantha Sabetta, Davide Vecchiotti, Letizia Clementi, Mauro Di Vito Nolfi, Francesca Zazzeroni, Adriano Angelucci

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Xeno-Free 3D Bioprinted Liver Model for Hepatotoxicity Assessment.International journal of molecular sciences · 2024
    Article
  8. Review
  9. Generation of a Perfusable 3D Lung Cancer Model by Digital Light Processing.International journal of molecular sciences · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Samantha SabettaDepartment of Biotechnological and Applied Clinical Science, University of L'Aquila, 67100 L'Aquila, Italy.
Davide VecchiottiDepartment of Biotechnological and Applied Clinical Science, University of L'Aquila, 67100 L'Aquila, Italy.ORCID 0000-0003-1054-4565
Letizia ClementiDepartment of Biotechnological and Applied Clinical Science, University of L'Aquila, 67100 L'Aquila, Italy.
Mauro Di Vito NolfiDepartment of Biotechnological and Applied Clinical Science, University of L'Aquila, 67100 L'Aquila, Italy.
Francesca ZazzeroniDepartment of Biotechnological and Applied Clinical Science, University of L'Aquila, 67100 L'Aquila, Italy.
Adriano AngelucciDepartment of Biotechnological and Applied Clinical Science, University of L'Aquila, 67100 L'Aquila, Italy.ORCID 0000-0002-8755-1889
University of L'Aquila · IT

Funding

DISCAB - University of L'Aquila intramural research program
6 · The paper itself

Abstract

Three-dimensional cell culture methods are able to confer new predictive relevance to in vitro tumor models. In particular, the 3D multicellular tumor spheroids model is considered to better resemble tumor complexity associated with drug resistance compared to the 2D monolayer model. Recent advances in 3D printing techniques and suitable biomaterials have offered new promises in developing 3D tissue cultures at increased reproducibility and with high-throughput characteristics. In our study, we compared the sensitivity to dasatinib treatment in two different cancer cell lines, prostate cancer cells DU145 and glioblastoma cells U87, cultured in the 3D spheroids model and in the 3D bioprinting model. DU145 and U87 cells were able to proliferate in 3D alginate/gelatin bioprinted structures for two weeks, forming spheroid aggregates. The treatment with dasatinib demonstrated that bioprinted cells were considerably more resistant to drug toxicity than corresponding cells cultured in monolayer, in a way that was comparable to behavior observed in the 3D spheroids model. Recovery and analysis of cells from 3D bioprinted structures led us to hypothesize that dasatinib resistance was dependent on a scarce penetrance of the drug, a phenomenon commonly reported also in spheroids. In conclusion, the 3D bioprinted model utilizing alginate/gelatin hydrogel was demonstrated to be a suitable model in drug screening when spheroid growth is required, offering advantages in feasibility, reproducibility, and scalability compared to the classical 3D spheroids model.

Indexed as

3D tissue culture3D tumor modeldrug resistancedrug screeningpreclinical studytumor spheroids

Identifiers

PMID36839692
PMCPMC9967321
OpenAlexW4317733587

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.