Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/78477

TítuloQuantifying protrusions as tumor‑specifc biophysical predictors of cancer invasion in in vitro tumor micro‑spheroid models
Autor(es)Caballero, David
Lima, Ana Cláudia Fernandes
Abreu, Catarina M.
Neves, N. M.
Correlo, V. M.
Oliveira, J. M.
Reis, R. L.
Kundu, Subhas C
Palavras-chaveBiophysics
Cancer
Fluctuations
Invasion
Method
Protrusions
Tumor invasion
Invasive protrusions
Biophysical signature
Data2022
EditoraSpringer
RevistaIn vitro models
CitaçãoCaballero D., Lima A. C., Abreu C. M., Neves N. M., Correlo V. M., Oliveira J. M., Reis R. L., Kundu S. C. Quantifying protrusions as tumor-specific biophysical predictors of cancer invasion in in vitro tumor micro-spheroid models, In Vitro Models, Vol. 1, pp. 1-11, doi:10.1007/s44164-022-00020-1, 2022
Resumo(s)An important hallmark in cancer research is the discovery of suitable features capable to reliably predict tumor invasiveness, and consequently, their metastatic potential at an early stage. Current methods are based on molecular biomarker screening and imaging that may not reveal the altered properties of tumor cells, being also labor-intensive and costly. Biophysical-based methodologies provide a new framework assessingâ and even predictingâ the invasion potential of tumors with improved accuracy. In particular, the stochastic fluctuations of cancer invasive protrusions can be used as a tumor-specific biophysical indicator of its aggressiveness. In this methodology, tumor micro-spheroids with different metastatic capabilities were employed as in vitro models to analyze protrusion activity. It is described the procedure for extracting the descriptive biophysical parameters characteristic of protrusion activity, which magnitude depends on the invasion capability of tumors. Next, a simple mathematical approach is employed to define a predictive index that correlates with tumor invasiveness. Overall, this innovative approach may provide a simple method for unveiling cancer invasiveness and complement existing diagnosis methodologies.
TipoArtigo
Descrição"Published online: 16 May 2022"
URIhttps://hdl.handle.net/1822/78477
DOI10.1007/s44164-022-00020-1
ISSN2731-3441
Versão da editorahttps://link.springer.com/article/10.1007/s44164-022-00020-1
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:3B’s - Artigos em revistas/Papers in scientific journals

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