Researchers from Washington University in St. Louis have developed a novel approach that allows them to study tumor growth in a new dimension. By combining mass spectrometry imaging with other techniques, they can now observe the spatial distribution and rates of nutrient usage within a tissue, providing valuable insights into the biochemical processes that drive tumor growth and potential targets for therapy. The study, published in Nature Communications, focuses on brain cancer and identifies pathways that are uniquely elevated in this type of cancer.
The research team, led by Gary Patti, used a mouse model of glioblastoma. The map they created revealed the location of molecules within the brain and the speed at which they were being transformed into other substances. The findings shed light on how cancer cells in brain tumors obtain lipids, which are essential components of cell membranes. Contrary to previous beliefs that cancer cells scavenge lipids from their surroundings, the study showed that brain cancer cells tend to synthesize lipids internally to support their rapid multiplication.
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The team discovered that certain lipids were synthesized at a significantly higher rate in brain tumors compared to healthy surrounding tissue. This consistent pattern of lipid synthesis throughout the tumor suggests that targeting this biochemical pathway could be an effective strategy for slowing or stopping disease progression. The study also highlighted the unique environment of the brain, where the availability of lipids is more limited than in other tissues where tumors commonly develop.
The novel imaging technique developed by the research team enables the direct measurement of biochemical reaction rates within discrete regions of tissue. This spatial profiling of fluxes, or molecular transformation rates, complements existing technologies that provide a roadmap of biochemistry. By understanding not only the molecular composition but also the flow of molecules within a tumor, scientists gain valuable insights into the mechanisms driving tumor growth and can identify potential therapeutic targets.