They identified a subpopulation of glioma stem cells, which, unlike most glioma cells, did not accumulate substantial amounts of fluorescent product during
photodynamic detection.
Photodynamic detection and therapy has recently emerged as a promising approach for diagnosing and treating cancer.
However, tumors are made up of a variety of different cell types, and it has been unclear whether
photodynamic detection identifies all of them.
Cancer stem cells (CSCs) escape from 5 - aminolevulinic acid (5 - ALA)- based
photodynamic detection (PDD)(upper panel).
Assessing and optimizing
photodynamic detection for cancer stem cell detection is vital to the approach's success.
In a new study published in Scientific Reports, Tokyo Medical and Dental University (TMDU)- led researchers investigated
photodynamic detection of cancer stem cells in a glioma cell line, a model of a highly aggressive type of brain cancer.
Targeting HO - 1 is therefore another potential approach to improving
photodynamic detection in human glial cell cancers.