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Pregled bibliografske jedinice broj: 1281378

Let’s Go 3D! New Generation of Models for Evaluating Drug Response and Resistance in Prostate Cancer


Petrić, Tina; Sabol, Maja
Let’s Go 3D! New Generation of Models for Evaluating Drug Response and Resistance in Prostate Cancer // International Journal of Molecular Sciences, 24 (2023), 6; 1-22 doi:10.3390/ijms24065293 (međunarodna recenzija, članak, znanstveni)


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Naslov
Let’s Go 3D! New Generation of Models for Evaluating Drug Response and Resistance in Prostate Cancer

Autori
Petrić, Tina ; Sabol, Maja

Izvornik
International Journal of Molecular Sciences (1422-0067) 24 (2023), 6; 1-22

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
prostate cancer ; therapy ; resistance ; 3D models ; spheroids

Sažetak
Prostate cancer (PC) is the third most frequently diagnosed cancer worldwide and the second most frequent in men. Several risk factors can contribute to the development of PC, and those include age, family history, and specific genetic mutations. So far, drug testing in PC, as well as in cancer research in general, has been performed on 2D cell cultures. This is mainly because of the vast benefits these models provide, including simplicity and cost effectiveness. However, it is now known that these models are exposed to much higher stiffness ; lose physiological extracellular matrix on artificial plastic surfaces ; and show changes in differentiation, polarization, and cell–cell communication. This leads to the loss of crucial cellular signaling pathways and changes in cell responses to stimuli when compared to in vivo conditions. Here, we emphasize the importance of a diverse collection of 3D PC models and their benefits over 2D models in drug discovery and screening from the studies done so far, outlining their benefits and limitations. We highlight the differences between the diverse types of 3D models, with the focus on tumor–stroma interactions, cell populations, and extracellular matrix composition, and we summarize various standard and novel therapies tested on 3D models of PC for the purpose of raising awareness of the possibilities for a personalized approach in PC therapy.

Izvorni jezik
Engleski

Znanstvena područja
Biologija



POVEZANOST RADA


Ustanove:
Institut "Ruđer Bošković", Zagreb

Profili:

Avatar Url Tina Petrić (autor)

Avatar Url Maja Sabol (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Petrić, Tina; Sabol, Maja
Let’s Go 3D! New Generation of Models for Evaluating Drug Response and Resistance in Prostate Cancer // International Journal of Molecular Sciences, 24 (2023), 6; 1-22 doi:10.3390/ijms24065293 (međunarodna recenzija, članak, znanstveni)
Petrić, T. & Sabol, M. (2023) Let’s Go 3D! New Generation of Models for Evaluating Drug Response and Resistance in Prostate Cancer. International Journal of Molecular Sciences, 24 (6), 1-22 doi:10.3390/ijms24065293.
@article{article, author = {Petri\'{c}, Tina and Sabol, Maja}, year = {2023}, pages = {1-22}, DOI = {10.3390/ijms24065293}, keywords = {prostate cancer, therapy, resistance, 3D models, spheroids}, journal = {International Journal of Molecular Sciences}, doi = {10.3390/ijms24065293}, volume = {24}, number = {6}, issn = {1422-0067}, title = {Let’s Go 3D! New Generation of Models for Evaluating Drug Response and Resistance in Prostate Cancer}, keyword = {prostate cancer, therapy, resistance, 3D models, spheroids} }
@article{article, author = {Petri\'{c}, Tina and Sabol, Maja}, year = {2023}, pages = {1-22}, DOI = {10.3390/ijms24065293}, keywords = {prostate cancer, therapy, resistance, 3D models, spheroids}, journal = {International Journal of Molecular Sciences}, doi = {10.3390/ijms24065293}, volume = {24}, number = {6}, issn = {1422-0067}, title = {Let’s Go 3D! New Generation of Models for Evaluating Drug Response and Resistance in Prostate Cancer}, keyword = {prostate cancer, therapy, resistance, 3D models, spheroids} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


Citati:





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