Exploring oncology treatment strategies with tyrosine kinase inhibitors through advanced 3D models (Review) DOI Creative Commons
Giorgia Isinelli, S. Failla, Roberto Plebani

et al.

Medicine International, Journal Year: 2024, Volume and Issue: 5(2)

Published: Dec. 20, 2024

The limitations of two‑dimensional (2D) models in cancer research have hindered progress fully understanding the complexities drug resistance and therapeutic failures. However, three‑dimensional (3D) provide a more accurate representation in vivo environments, capturing critical cellular interactions dynamics that are essential evaluating efficacy toxicity tyrosine kinase inhibitors (TKIs). These advanced enable researchers to explore mechanisms with greater precision, optimizing treatment strategies improving predictive accuracy clinical outcomes. By leveraging 3D models, it will be possible deepen current TKIs drive forward innovations treatment. present review discusses 2D transformative impact on oncology research, highlighting their roles addressing challenges systems advancing TKI studies.

Language: Английский

Tumor reirradiation: Issues, challenges and perspectives for radiobiology DOI Creative Commons
G. Noël, Jolie Bou-Gharios, Hélène Burckel

et al.

Cancer/Radiothérapie, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

Language: Английский

Citations

1

Comparison of the dosimetry and cell survival effect of 177Lu and 161Tb somatostatin analog radiopharmaceuticals in cancer cell clusters and micrometastases DOI Creative Commons
L. De Nardo,

S. Santi,

Anna Dalla Pietà

et al.

EJNMMI Physics, Journal Year: 2024, Volume and Issue: 11(1)

Published: Nov. 13, 2024

177Lu-based radiopharmaceuticals (RPs) are the most used for targeted radionuclide therapy (TRT) due to their good response rates. However, worldwide availability of 177Lu is limited. 161Tb represents a potential alternative TRT, as it emits photons SPECT imaging, β−-particles therapy, and also releases significant yield internal conversion (IE) Auger electrons (AE). This research aimed evaluate cell dosimetry with MIRDcell code considering realistic localization three 161Tb- 177Lu-somatostatin (SST) analogs in different subcellular regions reported literature, various cluster sizes (25–1000 µm radius) percentage labeled cells. Experimental values α- β-survival coefficients determined by external beam photon irradiation were estimate survival fraction (SF) AR42J pancreatic clusters micrometastases. The RPs same within cells, resulted only slight variations dose absorbed nuclei (ADN) cells no differences observed either unlabeled or SF. ADN (MDLC) produced 161Tb-RPs from 2.8–3.7 times higher than those delivered 177Lu-RPs radius lower 0.1 mm 10% amount energy emitted 161Tb-disintegration form IE AE. 161Tb-RPs/177Lu-RPs MDLC ratio decreased below 1.6 larger (0.5–1 mm) > 40% significantly cross-irradiation contribution. Using fixed number disintegrations, SFs 177Lu-RPs, but when was SF between 177Lu- 161Tb-RPs, except smallest sizes. Despite emissions AE exerted negligible influence on ADN. damage could be achieved using smaller quantities thus making suitable TRT.

Language: Английский

Citations

1

PLLA Porous Scaffold as a 3D Breast Cancer Model to Investigate Drug Resistance DOI

Camilla Carbone,

Salvatrice Rigogliuso, Valerio Brucato

et al.

Journal of Biomedical Materials Research Part A, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 16, 2024

ABSTRACT Multidrug resistance remains one of the major challenges in breast cancer research, often leading to treatment failure. To better understand this mechanism, sophisticated three‐dimensional (3D) tumor models are necessary, as they offer several advantages over traditional bidimensional (2D) cultures. In study, poly‐ l ‐lactic‐acid porous scaffolds were produced using a thermally induced phase separation technique and employed 3D for cell lines: MDA‐MB‐231, MCF‐7, its multidrug‐resistant variant, MCF‐7R. The MTS assay was used compare growth inhibition following doxorubicin 2D 3D. Remarkably, IC 50 values increased cultures compared 2D: MDA‐MB‐231 (445 vs. 54.5 ng/mL), MCF‐7 (7.45 0.75 μg/mL), MCF‐7R (165 39 μg/mL). MCF‐7R, which usually shows greater 2D, demonstrated even higher fact, not reached within 3 days with other models, but only after 6 days. Cellular morphology also played crucial role. When treated concentrations than , cells lost their physiological clustered structure, while resistant variant exhibited disrupted layers. All lines showed chemoresistance, suggesting more biomimetic spatial architecture. Our work bridges gap between monolayer animal highlighting potential polymeric research.

Language: Английский

Citations

1

Deciphering the Biological Assays to Elucidate the Potential of Bioactive Molecules DOI

Anjali Saxena,

S. Biswas,

Biswajit Saha

et al.

Published: Jan. 1, 2024

Understanding the biological activity of molecules is pivotal for drug discovery and development. In field pharmaceutical development safety, there a critical need accurate reliable testing methodologies. These methodologies are essential evaluating purity performance compounds identifying potential adverse effects. Here, we discuss various their applications. We examine cell culture methodologies, which involve drugs on cultured human or animal cells. also explore live animals to assess safety efficacy. Additionally, emerging 3D use three-dimensional cultures better mimic complex microenvironments found in vivo. Furthermore, address ethical considerations surrounding propose solutions mitigate these concerns. This comprehensive review paper offers an extensive exploration within context culture, shedding light methods practices employed this domain biomedical research it will serve as valuable resource scientists, clinicians, researchers, facilitating deeper understanding realm crucial role advancing science therapeutic

Language: Английский

Citations

0

Exploring oncology treatment strategies with tyrosine kinase inhibitors through advanced 3D models (Review) DOI Creative Commons
Giorgia Isinelli, S. Failla, Roberto Plebani

et al.

Medicine International, Journal Year: 2024, Volume and Issue: 5(2)

Published: Dec. 20, 2024

The limitations of two‑dimensional (2D) models in cancer research have hindered progress fully understanding the complexities drug resistance and therapeutic failures. However, three‑dimensional (3D) provide a more accurate representation in vivo environments, capturing critical cellular interactions dynamics that are essential evaluating efficacy toxicity tyrosine kinase inhibitors (TKIs). These advanced enable researchers to explore mechanisms with greater precision, optimizing treatment strategies improving predictive accuracy clinical outcomes. By leveraging 3D models, it will be possible deepen current TKIs drive forward innovations treatment. present review discusses 2D transformative impact on oncology research, highlighting their roles addressing challenges systems advancing TKI studies.

Language: Английский

Citations

0