TY  - JOUR
AU  - Stupar, Petar
AU  - Podolski-Renić, Ana
AU  - Villalba, Maria Ines
AU  - Dragoj, Miodrag
AU  - Jovanović Stojanov, Sofija
AU  - Pešić, Milica
AU  - Kasas, Sandor
PY  - 2021
UR  - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147836/
UR  - https://radar.ibiss.bg.ac.rs/handle/123456789/4247
AB  - Background and Objectives: Optimization of chemotherapy is crucial for cancer patients. Timely and costly efficient treatments are emerging due to the increasing incidence of cancer world-wide. Here, we present a methodology of nano-motion analysis that could be developed to serve as a screening tool able to determine the best chemotherapy option for a particular patient within hours. Materials and Methods: Three different human cancer cell lines and their multidrug resistant (MDR) counterparts were analyzed with an atomic force microscope (AFM) using tipless cantilevers to adhere the cells and monitor their nano-motions. Results: The cells exposed to doxorubicin (DOX) differentially responded due to their sensitivity to this chemotherapeutic. The death of sensitive cells corresponding to the drop in signal variance occurred in less than 2 h after DOX application, while MDR cells continued to move, even showing an increase in signal variance. Conclusions: Nano-motion sensing can be developed as a screening tool that will allow simple, inexpensive and quick testing of different chemotherapeutics for each cancer patient. Further investigations on patient-derived tumor cells should confirm the method’s applicability.
PB  - MDPI AG
T2  - Medicina
T1  - Nano-Motion Analysis for Rapid and Label Free Assessing of Cancer Cell Sensitivity to Chemotherapeutics
IS  - 5
VL  - 57
DO  - 10.3390/medicina57050446
SP  - 446
ER  - 

@article{
author = "Stupar, Petar and Podolski-Renić, Ana and Villalba, Maria Ines and Dragoj, Miodrag and Jovanović Stojanov, Sofija and Pešić, Milica and Kasas, Sandor",
year = "2021",
abstract = "Background and Objectives: Optimization of chemotherapy is crucial for cancer patients. Timely and costly efficient treatments are emerging due to the increasing incidence of cancer world-wide. Here, we present a methodology of nano-motion analysis that could be developed to serve as a screening tool able to determine the best chemotherapy option for a particular patient within hours. Materials and Methods: Three different human cancer cell lines and their multidrug resistant (MDR) counterparts were analyzed with an atomic force microscope (AFM) using tipless cantilevers to adhere the cells and monitor their nano-motions. Results: The cells exposed to doxorubicin (DOX) differentially responded due to their sensitivity to this chemotherapeutic. The death of sensitive cells corresponding to the drop in signal variance occurred in less than 2 h after DOX application, while MDR cells continued to move, even showing an increase in signal variance. Conclusions: Nano-motion sensing can be developed as a screening tool that will allow simple, inexpensive and quick testing of different chemotherapeutics for each cancer patient. Further investigations on patient-derived tumor cells should confirm the method’s applicability.",
publisher = "MDPI AG",
journal = "Medicina",
title = "Nano-Motion Analysis for Rapid and Label Free Assessing of Cancer Cell Sensitivity to Chemotherapeutics",
number = "5",
volume = "57",
doi = "10.3390/medicina57050446",
pages = "446"
}

Stupar, P., Podolski-Renić, A., Villalba, M. I., Dragoj, M., Jovanović Stojanov, S., Pešić, M.,& Kasas, S.. (2021). Nano-Motion Analysis for Rapid and Label Free Assessing of Cancer Cell Sensitivity to Chemotherapeutics. in Medicina
MDPI AG., 57(5), 446.
https://doi.org/10.3390/medicina57050446

Stupar P, Podolski-Renić A, Villalba MI, Dragoj M, Jovanović Stojanov S, Pešić M, Kasas S. Nano-Motion Analysis for Rapid and Label Free Assessing of Cancer Cell Sensitivity to Chemotherapeutics. in Medicina. 2021;57(5):446.
doi:10.3390/medicina57050446 .

Stupar, Petar, Podolski-Renić, Ana, Villalba, Maria Ines, Dragoj, Miodrag, Jovanović Stojanov, Sofija, Pešić, Milica, Kasas, Sandor, "Nano-Motion Analysis for Rapid and Label Free Assessing of Cancer Cell Sensitivity to Chemotherapeutics" in Medicina, 57, no. 5 (2021):446,
https://doi.org/10.3390/medicina57050446 . .

TY  - JOUR
AU  - Andrei, Luca
AU  - Kasas, Sandor
AU  - Ochoa Garrido, Ignacio
AU  - Stanković, Tijana
AU  - Suárez Korsnes, Mónica
AU  - Vaclavikova, Radka
AU  - Assaraf, Yehuda G.
AU  - Pešić, Milica
PY  - 2020
UR  - https://www.sciencedirect.com/science/article/pii/S136876461930055X?via%3Dihub
UR  - https://radar.ibiss.bg.ac.rs/handle/123456789/3508
AB  - The complexity of cancer biology and its clinical manifestation are driven by genetic, epigenetic, transcriptomic, proteomic and metabolomic alterations, supported by genomic instability as well as by environmental conditions and lifestyle factors. Although novel therapeutic modalities are being introduced, efficacious cancer therapy is not achieved due to the frequent emergence of distinct mechanisms of multidrug resistance (MDR). Advanced technologies with the potential to identify and characterize cancer MDR could aid in selecting the most efficacious therapeutic regimens and prevent inappropriate treatments of cancer patients. Herein, we aim to present technological tools that will enhance our ability to surmount drug resistance in cancer in the upcoming decade. Some of these tools are already in practice such as next-generation sequencing. Identification of genes and different types of RNAs contributing to the MDR phenotype, as well as their molecular targets, are of paramount importance for the development of new therapeutic strategies aimed to enhance drug response in resistant tumors. Other techniques known for many decades are in the process of adaptation and improvement to study cancer cells' characteristics and biological behavior including atomic force microscopy (AFM) and live-cell imaging. AFM can monitor in real-time single molecules or molecular complexes as well as structural alterations occurring in cancer cells induced upon treatment with various antitumor agents. Cell tracking methodologies and software tools recently progressed towards quantitative analysis of the spatio-temporal dynamics of heterogeneous cancer cell populations and enabled direct monitoring of cells and their descendants in 3D cultures. Besides, novel 3D systems with the advanced mimicking of the in vivo tumor microenvironment are applicable to study different cancer biology phenotypes, particularly drug-resistant and aggressive ones. They are also suitable for investigating new anticancer treatment modalities. The ultimate goal of using phenotype-driven 3D cultures for the investigation of patient biopsies as the most appropriate in vivo mimicking model, can be achieved in the near future.
T2  - Drug Resistance Updates
T1  - Advanced technological tools to study multidrug resistance in cancer.
VL  - 48
DO  - 10.1016/j.drup.2019.100658
SP  - 100658
ER  - 

@article{
author = "Andrei, Luca and Kasas, Sandor and Ochoa Garrido, Ignacio and Stanković, Tijana and Suárez Korsnes, Mónica and Vaclavikova, Radka and Assaraf, Yehuda G. and Pešić, Milica",
year = "2020",
abstract = "The complexity of cancer biology and its clinical manifestation are driven by genetic, epigenetic, transcriptomic, proteomic and metabolomic alterations, supported by genomic instability as well as by environmental conditions and lifestyle factors. Although novel therapeutic modalities are being introduced, efficacious cancer therapy is not achieved due to the frequent emergence of distinct mechanisms of multidrug resistance (MDR). Advanced technologies with the potential to identify and characterize cancer MDR could aid in selecting the most efficacious therapeutic regimens and prevent inappropriate treatments of cancer patients. Herein, we aim to present technological tools that will enhance our ability to surmount drug resistance in cancer in the upcoming decade. Some of these tools are already in practice such as next-generation sequencing. Identification of genes and different types of RNAs contributing to the MDR phenotype, as well as their molecular targets, are of paramount importance for the development of new therapeutic strategies aimed to enhance drug response in resistant tumors. Other techniques known for many decades are in the process of adaptation and improvement to study cancer cells' characteristics and biological behavior including atomic force microscopy (AFM) and live-cell imaging. AFM can monitor in real-time single molecules or molecular complexes as well as structural alterations occurring in cancer cells induced upon treatment with various antitumor agents. Cell tracking methodologies and software tools recently progressed towards quantitative analysis of the spatio-temporal dynamics of heterogeneous cancer cell populations and enabled direct monitoring of cells and their descendants in 3D cultures. Besides, novel 3D systems with the advanced mimicking of the in vivo tumor microenvironment are applicable to study different cancer biology phenotypes, particularly drug-resistant and aggressive ones. They are also suitable for investigating new anticancer treatment modalities. The ultimate goal of using phenotype-driven 3D cultures for the investigation of patient biopsies as the most appropriate in vivo mimicking model, can be achieved in the near future.",
journal = "Drug Resistance Updates",
title = "Advanced technological tools to study multidrug resistance in cancer.",
volume = "48",
doi = "10.1016/j.drup.2019.100658",
pages = "100658"
}

Andrei, L., Kasas, S., Ochoa Garrido, I., Stanković, T., Suárez Korsnes, M., Vaclavikova, R., Assaraf, Y. G.,& Pešić, M.. (2020). Advanced technological tools to study multidrug resistance in cancer.. in Drug Resistance Updates, 48, 100658.
https://doi.org/10.1016/j.drup.2019.100658

Andrei L, Kasas S, Ochoa Garrido I, Stanković T, Suárez Korsnes M, Vaclavikova R, Assaraf YG, Pešić M. Advanced technological tools to study multidrug resistance in cancer.. in Drug Resistance Updates. 2020;48:100658.
doi:10.1016/j.drup.2019.100658 .

Andrei, Luca, Kasas, Sandor, Ochoa Garrido, Ignacio, Stanković, Tijana, Suárez Korsnes, Mónica, Vaclavikova, Radka, Assaraf, Yehuda G., Pešić, Milica, "Advanced technological tools to study multidrug resistance in cancer." in Drug Resistance Updates, 48 (2020):100658,
https://doi.org/10.1016/j.drup.2019.100658 . .

TY  - JOUR
AU  - Venturelli, Leonardo
AU  - Kohler, Anne-Céline
AU  - Stupar, Petar
AU  - Villalba, Maria I.
AU  - Kalauzi, Aleksandar
AU  - Radotić, Ksenija
AU  - Bertacchi, Massimiliano
AU  - Dinarelli, Simone
AU  - Girasole, Marco
AU  - Pešić, Milica
AU  - Banković, Jasna
AU  - Vela, Maria E.
AU  - Yantorno, Osvaldo
AU  - Willaert, Ronnie
AU  - Dietler, Giovanni
AU  - Longo, Giovanni
AU  - Kasas, Sandor
PY  - 2020
UR  - http://doi.wiley.com/10.1002/jmr.2849
UR  - https://radar.ibiss.bg.ac.rs/handle/123456789/3641
AB  - The insurgence of newly arising, rapidly developing health threats, such as drug-resistant bacteria and cancers, is one of the most urgent public-health issues of modern times. This menace calls for the development of sensitive and reliable diagnostic tools to monitor the response of single cells to chemical or pharmaceutical stimuli. Recently, it has been demonstrated that all living organisms oscillate at a nanometric scale and that these oscillations stop as soon as the organisms die. These nanometric scale oscillations can be detected by depositing living cells onto a micro-fabricated cantilever and by monitoring its displacements with an atomic force microscope-based electronics. Such devices, named nanomotion sensors, have been employed to determine the resistance profiles of life-threatening bacteria within minutes, to evaluate, among others, the effect of chemicals on yeast, neurons, and cancer cells. The data obtained so far demonstrate the advantages of nanomotion sensing devices in rapidly characterizing microorganism susceptibility to pharmaceutical agents. Here, we review the key aspects of this technique, presenting its major applications. and detailing its working protocols.
T2  - Journal of Molecular Recognition
T1  - A perspective view on the nanomotion detection of living organisms and its features
DO  - 10.1002/jmr.2849
SP  - e2849
ER  - 

@article{
author = "Venturelli, Leonardo and Kohler, Anne-Céline and Stupar, Petar and Villalba, Maria I. and Kalauzi, Aleksandar and Radotić, Ksenija and Bertacchi, Massimiliano and Dinarelli, Simone and Girasole, Marco and Pešić, Milica and Banković, Jasna and Vela, Maria E. and Yantorno, Osvaldo and Willaert, Ronnie and Dietler, Giovanni and Longo, Giovanni and Kasas, Sandor",
year = "2020",
abstract = "The insurgence of newly arising, rapidly developing health threats, such as drug-resistant bacteria and cancers, is one of the most urgent public-health issues of modern times. This menace calls for the development of sensitive and reliable diagnostic tools to monitor the response of single cells to chemical or pharmaceutical stimuli. Recently, it has been demonstrated that all living organisms oscillate at a nanometric scale and that these oscillations stop as soon as the organisms die. These nanometric scale oscillations can be detected by depositing living cells onto a micro-fabricated cantilever and by monitoring its displacements with an atomic force microscope-based electronics. Such devices, named nanomotion sensors, have been employed to determine the resistance profiles of life-threatening bacteria within minutes, to evaluate, among others, the effect of chemicals on yeast, neurons, and cancer cells. The data obtained so far demonstrate the advantages of nanomotion sensing devices in rapidly characterizing microorganism susceptibility to pharmaceutical agents. Here, we review the key aspects of this technique, presenting its major applications. and detailing its working protocols.",
journal = "Journal of Molecular Recognition",
title = "A perspective view on the nanomotion detection of living organisms and its features",
doi = "10.1002/jmr.2849",
pages = "e2849"
}

Venturelli, L., Kohler, A., Stupar, P., Villalba, M. I., Kalauzi, A., Radotić, K., Bertacchi, M., Dinarelli, S., Girasole, M., Pešić, M., Banković, J., Vela, M. E., Yantorno, O., Willaert, R., Dietler, G., Longo, G.,& Kasas, S.. (2020). A perspective view on the nanomotion detection of living organisms and its features. in Journal of Molecular Recognition, e2849.
https://doi.org/10.1002/jmr.2849

Venturelli L, Kohler A, Stupar P, Villalba MI, Kalauzi A, Radotić K, Bertacchi M, Dinarelli S, Girasole M, Pešić M, Banković J, Vela ME, Yantorno O, Willaert R, Dietler G, Longo G, Kasas S. A perspective view on the nanomotion detection of living organisms and its features. in Journal of Molecular Recognition. 2020;:e2849.
doi:10.1002/jmr.2849 .

Venturelli, Leonardo, Kohler, Anne-Céline, Stupar, Petar, Villalba, Maria I., Kalauzi, Aleksandar, Radotić, Ksenija, Bertacchi, Massimiliano, Dinarelli, Simone, Girasole, Marco, Pešić, Milica, Banković, Jasna, Vela, Maria E., Yantorno, Osvaldo, Willaert, Ronnie, Dietler, Giovanni, Longo, Giovanni, Kasas, Sandor, "A perspective view on the nanomotion detection of living organisms and its features" in Journal of Molecular Recognition (2020):e2849,
https://doi.org/10.1002/jmr.2849 . .