A RUDN University chemist created anti-tumour compounds that are up to 80 times more effective than their counterparts
Platinum-based anticancer drugs — cisplatin, oxaliplatin, and carboplatin — are used for chemotherapy in about half of cancer cases. They penetrate cells and interact with DNA molecules. The process is fatal for rapidly dividing cancer cells because the drugs prevent the duplication of DNA molecules, which is necessary for successful division. Since cancer cells divide rapidly, they are the first to be affected. Still, platinum derivatives have certain disadvantages: low stability under physiological conditions and high toxicity.
To create new drugs, a strategy that involves the development of hybrid molecules is often used in modern chemistry. Such substances consist of two or more active fragments that are linked by a linker into one molecule. They usually have a double action, characteristic of each of the fragments.
A chemist from RUDN University, candidate of biological sciences Kirill Kirsanov, created a series of new drugs: hybrids of cisplatin, lonidamine, and bexarotene. Lonidamine itself has an anti-tumour effect due to its ability to suppress energy metabolism in cancer cells. In combination with radiation therapy, it is used to treat brain tumours. Bexarotene is used for the treatment of lung cancer and breast cancer, as it inhibits the growth of tumour cells of hematopoietic and squamous origin.
A derivative of cisplatin with bexarotene turned out to be the most promising. A combination of succinic acid and ethylenediamine was used as a linker. In tests conducted on four tumour cell lines, the hybrid drug was 80 times more active than bexaroten and 20 times higher on average than cisplatin, and the new drug was 80 times more active than cisplatin on MCF7D cell line. Based on the resulting leading compound, new and more effective anti-tumour medications can be developed.
The paper was published in the journal Inorganica Chimica Acta
RUDN summarized the results of the scientific competition "Project Start: work of the science club ". Students of the Faculty of Physics, Mathematics and Natural Sciences have created a project for a managed queuing system using a neural network to redistribute resources between 5G segments. How to increase flexibility, make the network fast and inexpensive and reach more users — tell Gebrial Ibram Esam Zekri ("Fundamental Computer Science and Information Technology", Master's degree, II course) and Ksenia Leontieva ("Applied Mathematics and Computer Science", Master's degree, I course).
The National Demographic Report, 2023 Demographic Well-Being of Russian Regions (hereinafter - the National Demographic Report) was prepared by the scientific team of the Institute of Demographic Studies of the Federal Research Center of the Russian Academy of Sciences, the Vologda Scientific Center of the Russian Academy of Sciences, Peoples' Friendship University of Russia, the Center for Family and Demography of the Academy of Sciences of the Republic of Tatarstan, as well as with the participation of leading scientists from the Republic of Bashkortostan, Stavropol Krai, Volgograd, Ivanovo, Kaliningrad, Nizhny Novgorod, Sverdlovsk Oblasts and Khanty-Mansi Autonomous Okrug–Yugra.
RUDN summarized the results of the scientific competition "Project Start: work of the science club ". Students of the Faculty of Physics, Mathematics and Natural Sciences have created a project for a managed queuing system using a neural network to redistribute resources between 5G segments. How to increase flexibility, make the network fast and inexpensive and reach more users — tell Gebrial Ibram Esam Zekri ("Fundamental Computer Science and Information Technology", Master's degree, II course) and Ksenia Leontieva ("Applied Mathematics and Computer Science", Master's degree, I course).
What is your first association with the word “laboratory”? Flasks and beakers? Microscopes and centrifuges? Yes, many of us would answer the same way.
The National Demographic Report, 2023 Demographic Well-Being of Russian Regions (hereinafter - the National Demographic Report) was prepared by the scientific team of the Institute of Demographic Studies of the Federal Research Center of the Russian Academy of Sciences, the Vologda Scientific Center of the Russian Academy of Sciences, Peoples' Friendship University of Russia, the Center for Family and Demography of the Academy of Sciences of the Republic of Tatarstan, as well as with the participation of leading scientists from the Republic of Bashkortostan, Stavropol Krai, Volgograd, Ivanovo, Kaliningrad, Nizhny Novgorod, Sverdlovsk Oblasts and Khanty-Mansi Autonomous Okrug–Yugra.