Evidence map›Paper›PMID 35806452›Full record

ArticleInternational journal of molecular sciences2022

Characterisation of 3D Bioprinted Human Breast Cancer Model for In Vitro Drug and Metabolic Targeting.

Titanilla Dankó, Gábor Petővári, Regina Raffay, Dániel Sztankovics, Dorottya Moldvai, Enikő Vetlényi, Ildikó Krencz, András Rókusz, Krisztina Sipos, Tamás Visnovitz and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 24 citations in OpenAlex.

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  15. Cancer Cell Models for the Development of Anti-Cancer Drugs.International journal of molecular sciences · 2022
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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

12 authors at 1 institution in 1 country.

Titanilla DankóDepartment of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary.
Gábor PetőváriDepartment of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary.
Regina RaffayDepartment of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary.
Dániel SztankovicsDepartment of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary.
Dorottya MoldvaiDepartment of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary.
Enikő VetlényiDepartment of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary.
Ildikó KrenczDepartment of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary.
András RókuszDepartment of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary.
Krisztina SiposDepartment of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary.
Tamás VisnovitzDepartment of Genetics, Cell- and Immunobiology, Semmelweis University, Nagyvárad tér 4, 1089 Budapest, Hungary.ORCID 0000-0002-7962-5083
Judit PápayDepartment of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary.
Anna SebestyénDepartment of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary.ORCID 0000-0001-8814-4794
Semmelweis University · HU

Funding

Ministry for National Economy of Hungary VEKOP-2.3.2-16-2016-00002Ministry of Human Capacities of Hungary NTP-NFTÖ-21-BNational Research, Development and Innovation Office NKFI-FK-128404National Research of the Hungarian National Research, Development and Innovation Office (NKFIH) National Bionics Program (Project No. ED_17-1-2017-0009)National Research of the Hungarian National Research, Development and Innovation Office (NKFIH) TKP2021-EGA-24Semmelweis University, Az orvos-,egészségtudományi- és gyógyszerészképzés tudományos muhelyeinek fejlesztése EFOP-3.6.3-VEKOP-16-2017-00009Stephen W. Kuffler Research Fundation Stephen W. Kuffler Research Grant
6 · The paper itself

Abstract

Monolayer cultures, the less standard three-dimensional (3D) culturing systems, and xenografts are the main tools used in current basic and drug development studies of cancer research. The aim of biofabrication is to design and construct a more representative in vivo 3D environment, replacing two-dimensional (2D) cell cultures. Here, we aim to provide a complex comparative analysis of 2D and 3D spheroid culturing, and 3D bioprinted and xenografted breast cancer models. We established a protocol to produce alginate-based hydrogel bioink for 3D bioprinting and the long-term culturing of tumour cells in vitro. Cell proliferation and tumourigenicity were assessed with various tests. Additionally, the results of rapamycin, doxycycline and doxorubicin monotreatments and combinations were also compared. The sensitivity and protein expression profile of 3D bioprinted tissue-mimetic scaffolds showed the highest similarity to the less drug-sensitive xenograft models. Several metabolic protein expressions were examined, and the in situ tissue heterogeneity representing the characteristics of human breast cancers was also verified in 3D bioprinted and cultured tissue-mimetic structures. Our results provide additional steps in the direction of representing in vivo 3D situations in in vitro studies. Future use of these models could help to reduce the number of animal experiments and increase the success rate of clinical phase trials.

Indexed as

BioprintingNeoplasmsAlginatesAnimalsHumansHydrogelsPrinting, Three-DimensionalTissue EngineeringTissue ScaffoldsAlginatesHydrogels3D bioprintingbreast cancer modelsdrug responsetissue heterogeneityxenograft

Identifiers

PMID35806452
PMCPMC9267600
OpenAlexW4283802709

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.