The anti-proliferative potential of Albizia lebbeck ethanolic extract on human breast cancer cells and performance of extreme machine models in modelling of cell migration

The anti-proliferative potential of Albizia lebbeck ethanolic extract on human breast cancer cells and performance of extreme machine models in modelling of cell migration | 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 Article The anti-proliferative potential of Albizia lebbeck ethanolic extract on human breast cancer cells and performance of extreme machine models in modelling of cell migration Huzaifa Umar, Abdullahi Garba Usman, Maryam Rabiu, Umar Muhammad Ghali, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3142376/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 14 Dec, 2023 Read the published version in Scientific Reports → Version 1 posted 8 You are reading this latest preprint version Abstract Cancer is one of the major causes of death in the modern world, and the incidence varies considerably based on race, ethnicity, and region. Novel cancer treatments, such as surgery and immunotherapy, are ineffective and expensive. In this situation, ion channels responsible for cell migration have appeared to be the most promising targets for cancer treatment. This research presents findings on the organic compounds present in Albizia lebbeck ethanolic extracts (ALEE), as well as their impact on the anti-migratory, anti-proliferative and cytotoxic potentials on MDA-MB 231 and MCF-7 human breast cancer cell lines. In addition, artificial intelligence (AI) based models, multilayer perceptron (MLP), extreme gradient boosting (XGB), and extreme learning machine (ELM) were performed to predict in vitro cancer cell migration on both cell lines, based on our experimental data. The organic compounds composition of the ALEE was studied using gas chromatography-mass spectrometry (GC-MS) analysis. Cytotoxicity, anti-proliferations, and anti-migratory activity of the extract using Tryphan Blue, MTT, and Wound Heal assay, respectively. Among the various concentrations (2.5 ~ 200 µg/mL) of the ALLE that were used in our study, 2.5 ~ 10 µg/mL revealed anti-migratory potential with increased concentrations, and they did not show any effect on the proliferation of the cells (P < 0.05; n ≥ 3). Furthermore, the three data-driven models, Multi-layer perceptron (MLP), Extreme gradient boosting (XGB), and Extreme learning machine (ELM), predict the potential migration ability of the extract on the treated cells based on our experimental data. Overall, the concentrations of the plant extract that does not affect the proliferation of the type cells used demonstrated promising effects in reducing cell migration. XGB outperformed the MLP and ELM models and increased their performance efficiency by up to 3% and 1% for MCF and 1% and 2% for MDA-MB231, respectively, in the testing phase. Biological sciences/Biotechnology Biological sciences/Cancer Biological sciences/Drug discovery Cell Migration Cytotoxicity Multilayer Perceptron Extreme Gradient Boosting Extreme Learning Machine Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 14 Dec, 2023 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Major revision 16 Sep, 2023 Reviews received at journal 07 Sep, 2023 Reviewers agreed at journal 26 Aug, 2023 Reviewers invited by journal 25 Aug, 2023 Editor assigned by journal 25 Aug, 2023 Editor invited by journal 06 Aug, 2023 Submission checks completed at journal 06 Aug, 2023 First submitted to journal 05 Jul, 2023 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. 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Multilayer Perceptron, Extreme Gradient Boosting, Extreme Learning Machine","lastPublishedDoi":"10.21203/rs.3.rs-3142376/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3142376/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eCancer is one of the major causes of death in the modern world, and the incidence varies considerably based on race, ethnicity, and region. Novel cancer treatments, such as surgery and immunotherapy, are ineffective and expensive. In this situation, ion channels responsible for cell migration have appeared to be the most promising targets for cancer treatment. This research presents findings on the organic compounds present in \u003cem\u003eAlbizia lebbeck\u003c/em\u003e ethanolic extracts (ALEE), as well as their impact on the anti-migratory, anti-proliferative and cytotoxic potentials on MDA-MB 231 and MCF-7 human breast cancer cell lines. In addition, artificial intelligence (AI) based models, multilayer perceptron (MLP), extreme gradient boosting (XGB), and extreme learning machine (ELM) were performed to predict \u003cem\u003ein vitro\u003c/em\u003e cancer cell migration on both cell lines, based on our experimental data. The organic compounds composition of the ALEE was studied using gas chromatography-mass spectrometry (GC-MS) analysis. Cytotoxicity, anti-proliferations, and anti-migratory activity of the extract using Tryphan Blue, MTT, and Wound Heal assay, respectively. Among the various concentrations (2.5\u0026thinsp;~\u0026thinsp;200 \u0026micro;g/mL) of the ALLE that were used in our study, 2.5\u0026thinsp;~\u0026thinsp;10 \u0026micro;g/mL revealed anti-migratory potential with increased concentrations, and they did not show any effect on the proliferation of the cells (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05; n\u0026thinsp;\u0026ge;\u0026thinsp;3). Furthermore, the three data-driven models, Multi-layer perceptron (MLP), Extreme gradient boosting (XGB), and Extreme learning machine (ELM), predict the potential migration ability of the extract on the treated cells based on our experimental data. Overall, the concentrations of the plant extract that does not affect the proliferation of the type cells used demonstrated promising effects in reducing cell migration. 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