PhD Scientific Days 2023
Budapest, 22-23 June 2023
Pathology - Posters C
Differences in the Bioenergetic and Metabolic Processes of Resistance Mechanisms in In Vitro 2D, 3D and In Vivo Tumor Models
Előadó neve
Dankó, Titanilla, PhD
Neptun code
CXMIBW
Előadó munkahelye
Department of Pathology and Experimental Cancer Research, Semmelweis University
Előadó telefonszáma
06302906641
Előadó e-mail címe
tita.danko@gmail.com
Az előadás címe
Differences in the Bioenergetic and Metabolic Processes of Resistance Mechanisms in In Vitro 2D, 3D and In Vivo Tumor Models
Szerző(k) neve és munkahelye
Titanilla Dankó1, Dorottya Moldvai1, Péter Sasvári2, Gábor Petővári1, Dániel Sztankovics1, Ildikó Krencz1, Regina Raffay1, Fanni Bugyi3, Lilla Turiák3, Anna Sebestyén1
1 Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest
2 Department of Physiology, Semmelweis University, Budapest
3 MS Proteomics Research Group, Research Centre for Natural Sciences, Budapest
Bemutatás módja
Poszter
Szekció
Pathology - Posters C
Language of the presentation
Hungarian
Preferred session
Pathology and Oncology
Összefoglaló szövege
Introduction. The development of preclinical models is necessary, as it is known that there may be significant differences between the outcomes of preclinical phase tests and the therapeutic effectivity. One of the aims of model developments is to create more complex test systems in order to model living tissue structures more realistically. This includes a new innovative technology, 3D bioprinting, which is a useful tool for creating tissue-like structures that can be cultured and tested in vitro.
Aims. Different models were applied for studying how two-dimensional (2D) and three-dimensional (3D) culturing conditions can affect metabolic features.
Methods. In our experiments, 5 model systems were established using ZR75.1 human breast cancer cell line: traditional 2D and various 3D (hanging drop/gel-embedded spheroids, and 3D bioprinted structures) in vitro cell cultures and in vivo xenografts. Mass spectrometric (MS) measurements and bioinformatic analysis using proteomic data were performed for metabolic comparative studies. Expression changes of proteins predicting metabolic differences in our experimental model systems were also tested using immunohistochemical (IHC) stainings.
Results. Based on the obtained results of proteomic data analysis, the samples have a normal distribution and are suitable for bioinformatic metabolic evaluation. Regarding our previous data on drug sensitivity differences in the 5 studied models, 2 proteins (GPx and ILK) were selected for further evaluation in protein expression studies. Differences in GPx and ILK expressions observed in the MS data analysis were validated in situ with IHC. Accordingly, 2D cell cultures can be characterized by reduced GPx protein expression level, in contrast, its expression was high in cells growing in 3D bioprinted structures and xenograft tumors.
Conclusion. All of these observations draw attention to the significant importance of the applied cell culturing methods, since these can affect the metabolic processes and influence the effects of pharmaceutical agents tested in different model systems. Consequently, the selection and the usage of models in preclinical trials are non-negligible factors from the point of view of drug sensitivity.
Funding. TKP2021-EGA-24, NKFI-FK-128404, NKFI-K-142799 (A.S.); ÚNKP-22-4-I-SE-12 (T.D.); ÚNKP-22-4-II-SE-9 (G.P.); EFOP-3.6.3-VEKOP-16-2017-00009 (D.S., D.M.)
University and Doctoral School
Semmelweis University, Doctoral School of Pathological Sciences
Supervisor
Anna Sebestyén
Publication of my abstract
I give consent to the publication of my abstract on the website of the congress.
Kind
Szabad
Status
elfogadva
Accepted presentation method
poszter
Előadás fájl jóváhagyás
nem rendelkezett róla
Előadó
3611
Start
11:18
End
11:23
Authors (legacy)
Titanilla Dankó1, Dorottya Moldvai1, Péter Sasvári2, Gábor Petővári1, Dániel Sztankovics1, Ildikó Krencz1, Regina Raffay1, Fanni Bugyi3, Lilla Turiák3, Anna Sebestyén1
1 Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest
2 Department of Physiology, Semmelweis University, Budapest
3 MS Proteomics Research Group, Research Centre for Natural Sciences, Budapest