Multiomic Human Glioblastoma Cell Atlas Could Act as Compass to Guide Future Treatment Approaches
Researchers mapped more than a million cells across glioblastoma tumors, categorizing cancer cells at different stages of their journey within the different environments in glioblastoma tumors, and showing that the cancer cells organize themselves according to a consistent, predictable structural pattern across different patients. The post Multiomic Human Glioblastoma Cell Atlas Could Act as…
New research published in Nature has mapped over one million cells across glioblastoma (GB) tumors, revealing a consistent, predictable structural pattern in the organization of cancer cells. Led by Dr. Omer Bayraktar from the Wellcome Sanger Institute and the UCL Cancer Institute, the study challenges previously held beliefs about brain tumors, indicating that GBs follow a set of rules that can be used to guide future treatment approaches.
By analyzing different time stages using lab-grown mini tumors, the researchers found that cancer cells transition through predictable states, from developmental-like cells at the tumor's outer edge to states defined by glial injury response and hypoxia as the tumor expands. These findings open new paths for developing targeted treatments, specifically aimed at early developmental-like cells before they transform into resistance states.
The researchers also decoded the gene regulators that drive and restrict glioblastoma cell state transitions, identifying potential targets to avoid treatment resistance. The newly developed GBM-Space atlas, built from single-cell multiomic data, is freely accessible to the scientific community, providing a comprehensive resource for further exploration of glioblastoma biology and potential treatment strategies.
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