Scientists have mapped one of the most detailed breast cancer stakes to date, according to a new study led by Cancer Research UK. The researchers studied 483 different tumor samples and looked for the presence of 37 key proteins that represent the characteristics and behavior of cancer cells. By using a technique called imaging mass spectrometry, detailed images were produced that accurately revealed the distribution of 37 proteins in tumors.
The researchers then combined this information with a large amount of genetic data from each patient sample to further improve image resolution. This is the first time that imaging mass spectrometry technology has been combined with genomic data.
These tumor images reveal the distribution of different types of cells, individual characteristics, and their interactions.
By compared these tumor images to each patient’s clinical information, the team also found that the technique could be used to predict how an individual’s cancer will develop and how it will respond to different treatments.
Professor Carlos Caldas, of the Cancer Research Centre at the University of Cambridge, said: “We have shown that genetic mutations have a much broader impact on cancer than initially thought. They affect the interaction of cancer cells with neighboring cells and other types of cells, affecting the entire tumor’s knots.
The researchers say the technology promises to provide doctors with detailed information about their cancer diagnosis, enabling them to provide the best treatment for each patient. In the future, it could also be used to analyze tumors during treatment to understand the effectiveness of drugs and radiation therapy and to adjust treatment options.