The new “game changing” approach exposes the weaknesses of cancer

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The new “game changing” approach exposes the weaknesses of cancer

Now, a breakthrough method called “deep visual proteomics” may help change this situation. An international research team led by the University of Copenhagen created this technology, which was recently applied to cancer cells in a new study published in the top scientific journal Nature Biotechnology.

“Our new concept, deep visual proteomics, may become a ‘game changer’ in hospital molecular pathology. Through this method, we can identify thousands of proteins and determine how many of them,” explained Andreas mund, the first author of the new study.

“We do this by taking a tissue sample and analyzing the tumor cells in it. This’ list ‘of proteins is called proteome. These proteomes reveal the mechanisms that drive tumor development and directly reveal new treatment targets from a single tissue section of a cancer patient’s biopsy.” Andreas mund, associate professor of Protein Research Center (CPR) of Novo Nordisk foundation, said that he was a member of Professor Matthias Mann’s team, which led the development in CPR and Max Planck Institute of biochemistry.

The reason why researchers are so interested in proteins is that they are actually some of the most important “puzzles” of almost all diseases. Protein is an important component of cells.

“When something goes wrong in our cells and we get sick, you can be sure that proteins are involved in it in a variety of ways. Because of this, mapping proteins can help us determine why a tumor develops in a particular patient, what weaknesses the tumor has, and what treatment strategies may prove to be the most beneficial,” Matthias Mann said.

In this new study, researchers applied “deep visual proteomics” to cells from patients with condyloma acuminatum and melanoma. This was done in collaboration with researchers at the University Hospital of Ceylon, Roskilde.

“This unique method combines tissue structure with the expression of thousands of proteins specific to selected cells. It enables researchers to study the interaction between cancer cells and their surrounding cells, which is of great significance for future clinical cancer treatment. Recently, we diagnosed a highly complex clinical case with 2 different components and the results of DVP analysis.” Said Lise Mette rahbek gjerdrum, consultant and associate professor of clinical research in the Department of pathology of the University of Sealand hospital and the Department of clinical medicine of the University of Copenhagen.

Deep vision proteomics integrates the progress of four different technologies into one workflow. First, advanced microscopes produce high-resolution histograms. Then, before laser microdissection and single cell collection, the machine learning algorithm is used to accurately classify the cells. Then, just analyze specific types of normal or diseased cells by mass spectrometry, map proteins, and understand the mechanisms of health and disease.

“With this technology, we can effectively link the physiological characteristics of cells seen under the microscope with the function of proteins. This was impossible before, and we believe that this method can be applied to other diseases, not just cancer,” Andreas mund said.