Prediction of Augmented Efficiency between Electric Pulses and Bleomycin on K562 and MIA-PACA2 Cancer Cells Using Adaptive Neuro-Fuzzy Inference System Method

Prediction of Augmented Efficiency between Electric Pulses and Bleomycin on K562 and MIA-PACA2 Cancer Cells Using Adaptive Neuro-Fuzzy Inference System Method | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Prediction of Augmented Efficiency between Electric Pulses and Bleomycin on K562 and MIA-PACA2 Cancer Cells Using Adaptive Neuro-Fuzzy Inference System Method Salim Mirshahi, Neshat Mirshahi, Sepideh Mirshahi, Kiarash Aryana, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3891057/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Cell membranes always respond to electric fields because cell membranes consist of ions and molecules. For many years, the technique of inducing electric pulses into the cell to increase its permeability has been investigated. When rectangular pulses with a train of high voltage (about 1000 V/cm) and low repetition frequency (about 1 Hz) are applied, patients feel an unpleasant sensation, while electroporation (EP) using higher repetition frequency and low voltage (HFLV) has been shown to have a higher inhibition of tumor growth. The current study aimed to predict synergism between EP and Bleomycin (SEPB) affecting K562 and MIA-PACA2 cancer cells and to optimize repetition frequency and electric pulse amplitude for HFLV EP by sampling a wide variety of different sets of pulse specifications on SEPB. Both cell types were exposed to higher frequency (4–6 kHz) and low voltage (50–150 V/cm). The characteristics of electric pulses that generate effective synergism with a small dose of Bleomycin were determined. As an output of the applied electric pulses with arbitrary frequency and voltage, the resulting synergism can be achieved using a theoretical model based on an adaptive neuro-fuzzy inference system (ANFIS). Results showed a significant correlation between experimentally observed and theoretically predicted data regarding the calculated coefficient of determination ( R 2 = 0.99 for K562 and 0.86 for the MIA-PACA2 cell type). It is concluded that this model is intensely reliable for prediction. This suggests that the model is valid and can calculate the SEPB that is affected by the magnitude of the electric pulse and the repetition frequency. Applying the prior experimental results to future drug delivery or biophysical applications might suggest this approach as a time and resource-saving alternative to conducting more tests. Biophysics Electrochemotherapy Low voltage Cell viability Electropermeabilization Adaptive neuro-fuzzy inference system Electroporation Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3891057","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":268777675,"identity":"849358ed-5d3c-4ae7-84bd-fdf4f1e8af31","order_by":0,"name":"Salim 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For many years, the technique of inducing electric pulses into the cell to increase its permeability has been investigated. When rectangular pulses with a train of high voltage (about 1000 V/cm) and low repetition frequency (about 1 Hz) are applied, patients feel an unpleasant sensation, while electroporation (EP) using higher repetition frequency and low voltage (HFLV) has been shown to have a higher inhibition of tumor growth. The current study aimed to predict synergism between EP and Bleomycin (SEPB) affecting K562 and MIA-PACA2 cancer cells and to optimize repetition frequency and electric pulse amplitude for HFLV EP by sampling a wide variety of different sets of pulse specifications on SEPB. Both cell types were exposed to higher frequency (4\u0026ndash;6 kHz) and low voltage (50\u0026ndash;150 V/cm). The characteristics of electric pulses that generate effective synergism with a small dose of Bleomycin were determined. As an output of the applied electric pulses with arbitrary frequency and voltage, the resulting synergism can be achieved using a theoretical model based on an adaptive neuro-fuzzy inference system (ANFIS). Results showed a significant correlation between experimentally observed and theoretically predicted data regarding the calculated coefficient of determination (\u003cem\u003eR\u003c/em\u003e\u003csup\u003e\u003cem\u003e2\u003c/em\u003e\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;0.99 for K562 and 0.86 for the MIA-PACA2 cell type). It is concluded that this model is intensely reliable for prediction. This suggests that the model is valid and can calculate the SEPB that is affected by the magnitude of the electric pulse and the repetition frequency. 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