Synergistic cytotoxicity of copper(II) complexes in combination
with cisplatin: an application of artificial neural networks
and experimental design

k 2012

Synergistic cytotoxicity of copper(II) complexes in combination with cisplatin: an application of artificial neural networks and experimental design

MANCA, Matteo, Tiziana PIVETTA, Franco ISAIA, Federica TRUDU, Daniela PERRA et. al.

Základní údaje

Originální název

Synergistic cytotoxicity of copper(II) complexes in combination with cisplatin: an application of artificial neural networks and experimental design

Autoři

MANCA, Matteo (380 Itálie), Tiziana PIVETTA (380 Itálie, garant), Franco ISAIA (380 Itálie), Federica TRUDU (380 Itálie), Daniela PERRA (380 Itálie), Francesca SPIGA (380 Itálie) a Filippo AMATO (380 Itálie, domácí)

Vydání

XII FISV Congress 2012, 2012

Další údaje

Jazyk

angličtina

Typ výsledku

Prezentace na konferencích

Obor

10406 Analytical chemistry

Stát vydavatele

Itálie

Utajení

není předmětem státního či obchodního tajemství

Kód RIV

RIV/00216224:14310/12:00078233

Organizační jednotka

Přírodovědecká fakulta

Klíčová slova česky

artificial neural networks; synergism; experimental design

Klíčová slova anglicky

artificial neural networks; synergism; experimental design

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 13. 1. 2015 09:30, Mgr. Filippo Amato, Ph.D.

Anotace

V originále

Cisplatin is highly effective in treating a variety of cancers [ 1] but both inherited and acquired tumoral cell resistance seriously limits its applications [2]. Anticancer drugs are widely used in suitable combinations in order to improve their action [3]. In the cell, associations of two or more drugs may exhibit synergistic, antagonistic or addictive effects. Synergistic, antagonistic or additive type of interaction occurs when the cytotoxicity of the drug combination is respectively greater, lower, or equal to the sum of the cytotoxicity of individual drugs. Complexes of copper(II) with 1,10-ortho-phenanthroline (phen) are also endowed with cytotoxic and antitumoral effects being capable of cleaving DNA and improving nuclease activity [4]. Recently, we prepared a series of new copper(II) complexes, containing two phen units and N,N’-substituted-imidazolidine-2-thione as auxiliary ligands [5]; these compounds are characterized by a high chemical stability coupled with a high cytotoxic activity against mouse neuroblastoma as well as human hematologic and solid tumor-derived cell lines [6]. In this work we propose a new approach to search for optimal combination of the two compounds for which maximum synergy is observed, by using Artificial Neural Networks (ANNs) and the Experimental Design (ED). The studied compounds are reported in Table 1. We prepared 40 mixtures of copper complex and cisplatin and measured the corresponding cytotoxicity against CCRF-CEM T-leukaemia cell lines. A neural network was used to model experiments and then to predict the cytotoxicity values on the whole working space. The values so obtained were corrected for the pure additive effect, putting in evidence the synergistic effect. In Figure 1a and 1b the calculated and corrected response surfaces for the C1-cisplatin system respectively, are shown. ED-ANN can be considered as a new, efficient and fast method to search for synergy of drug mixtures and/or even for new drugs.

Návaznosti

MSM0021622411, záměr

Název: Studium a aplikace plazmochemických reakcí v neizotermickém nízkoteplotním plazmatu a jeho interakcí s povrchem pevných látek

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Studium a aplikace plazmochemických reakcí v neizotermickém nízkoteplotním plazmatu a jeho interakcí s povrchem pevných látek

Citovat

MANCA, Matteo, Tiziana PIVETTA, Franco ISAIA, Federica TRUDU, Daniela PERRA, Francesca SPIGA a Filippo AMATO. Synergistic cytotoxicity of copper(II) complexes in combination with cisplatin: an application of artificial neural networks and experimental design. In XII FISV Congress 2012. 2012.

@proceedings{1216202,
   author = {Manca, Matteo and Pivetta, Tiziana and Isaia, Franco and Trudu, Federica and Perra, Daniela and Spiga, Francesca and Amato, Filippo},
   booktitle = {XII FISV Congress 2012},
   keywords = {artificial neural networks; synergism; experimental design},
   language = {eng},
   title = {Synergistic cytotoxicity of copper(II) complexes in combination with cisplatin: an application of artificial neural networks and experimental design},
   year = {2012}
}

TY  - CONF
ID  - 1216202
AU  - Manca, Matteo - Pivetta, Tiziana - Isaia, Franco - Trudu, Federica - Perra, Daniela - Spiga, Francesca - Amato, Filippo
PY  - 2012
TI  - Synergistic cytotoxicity of copper(II) complexes in combination with cisplatin: an application of artificial neural networks and experimental design
KW  - artificial neural networks
KW  - synergism
KW  - experimental design
N2  - Cisplatin is highly effective in treating a variety of cancers [ 1] but both inherited and acquired tumoral cell resistance seriously limits its applications [2]. Anticancer drugs are widely used in suitable combinations in order to improve their action [3]. In the cell, associations of two or more drugs may exhibit synergistic, antagonistic or addictive effects. Synergistic, antagonistic or additive type of interaction occurs when the cytotoxicity of the drug combination is respectively greater, lower, or equal to the sum of the cytotoxicity of individual drugs. Complexes of copper(II) with 1,10-ortho-phenanthroline (phen) are also endowed with cytotoxic and antitumoral effects being capable of cleaving DNA and improving nuclease activity [4]. Recently, we prepared a series of new copper(II) complexes, containing two phen units and N,N’-substituted-imidazolidine-2-thione as auxiliary ligands [5]; these compounds are characterized by a high chemical stability coupled with a high cytotoxic activity against mouse neuroblastoma as well as human hematologic and solid tumor-derived cell lines [6]. In this work we propose a new approach to search for optimal combination of the two compounds for which maximum synergy is observed, by using Artificial Neural Networks (ANNs) and the Experimental Design (ED). The studied compounds are reported in Table 1. We prepared 40 mixtures of copper complex and cisplatin and measured the corresponding cytotoxicity against CCRF-CEM T-leukaemia cell lines. A neural network was used to model experiments and then to predict the cytotoxicity values on the whole working space. The values so obtained were corrected for the pure additive effect, putting in evidence the synergistic effect. In Figure 1a and 1b the calculated and corrected response surfaces for the C1-cisplatin system respectively, are shown. ED-ANN can be considered as a new, efficient and fast method to search for synergy of drug mixtures and/or even for new drugs.
ER  -

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