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.
A team of linguists from RUDN University established that a person’s ability to accurately differentiate between vowel sounds of a foreign language correlates with the size of their vocabulary in said language.
A geneticist from RUDN University studied the effect of Bifidobacterium (intestinal bacteria) on the inflammatory process and discovered that their surface protein is capable of stopping excessive or uncontrollable inflammation, like the one observed in COVID-19 patients. A fragment of this protein can be used as an anti-inflammatory medication when treating coronavirus and other diseases.
A mathematician from RUDN University developed a matrix representation of set functions. This approach is vivid and easy to check, and it makes the calculations easier. Among other things, the new development can be applied to cooperative game theory.