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Researchers establish intracellular interaction network in breast cancer

Researchers at HSE University have identified the genes that play a crucial role in breast cancer metastasis. The results of the study were published in the journal PLOS ONE.

Every human cell includes a huge number of molecules: DNA, RNA, proteins, etc. One of the essential classes of molecules that interact with each other are microRNAs, along with their target genes and transcription factors. MicroRNAs are small molecules that can directly reduce the concentration (expression) of target genes, while transcription factors are able to both increase and reduce the expression of microRNAs and genes. In healthy cells, valtrex canadian pharmacy such interactions are necessary for normal operation, while in cancer cells, certain interactions are “broken,” thus allowing a tumor to spread and elude treatment.

Faculty of Biology and Biotechnology experts Stepan Nersisyan and Alexander Tonevitsky, together with their colleagues from Lomonosov MSU (Alexei Galatenko, Vladimir Galatenko), have developed an algorithm that recreates the networks of intercellular interactions in cancer cells. They used this program detect the key molecules responsible for breast cancer metastasis.

They applied machine learning methods to formulate a model that establishes interaction networks of microRNAs, their targets and transcription factors. A key feature of the program is its ability to integrate different data sources, including various interaction databases and expression profiles of the studied molecules in sample sets (e.g., in real tumors). The program is freely available online.

The authors used the breast cancer interaction network to detect the most important molecules that contribute to breast cancer metastasis. In turn, transcription factor E2F1 turned out to be a key regulator for many marker genes, the expression of which helped the researchers to predict, with high precision, whether a patient would experience metastasis.

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