Highly malignant tumor cells accumulate less PpIX and enhanced cell dormancy increases PpIX accumulation
Saki Kasai1, Anantya Pustimbara1, Ganesan Daneshwaran1
1School of Life Science and Technology, Institute of Science Tokyo, 4259, Nagatsuta-cho, Midori-ku, Yokohama 226-8501 Japan.
Photodiagnosis and Photodynamic Therapy
|March 10, 2025
Summary
Understanding 5-Aminolevulinic acid photodynamic diagnosis (ALA-PDD) requires knowing why some tumor cells accumulate less protoporphyrin IX (PpIX). Low PpIX accumulation indicates higher malignancy and less dormancy in tumor cells.
Area of Science:
- Biomedical Engineering
- Oncology
- Photochemistry
Background:
- 5-Aminolevulinic acid photodynamic diagnosis (ALA-PDD) detects cancer by fluorescence from protoporphyrin IX (PpIX) in tumor cells.
- False negatives in ALA-PDD occur when tumor cells accumulate low PpIX levels.
- Understanding PpIX accumulation factors is crucial for improving ALA-PDD sensitivity.
Purpose of the Study:
- To identify factors influencing 5-Aminolevulinic acid (ALA)-induced PpIX accumulation in tumor cells.
- To characterize tumor cells based on their differential PpIX accumulation levels.
Main Methods:
- Tumor cells were sorted into high and low PpIX accumulation groups using Fluorescence-Activated Cell Sorting (FACS).
- Cellular characteristics, including malignancy markers, transporter activity, iron metabolism, proliferation, and glucose metabolism, were compared between the groups.
Main Results:
- Tumor cells with low PpIX accumulation exhibited higher malignancy, indicated by RANKL expression.
- Differences in PpIX efflux transporter activity and iron insertion into the porphyrin ring were observed.
- Tumor cells with high PpIX accumulation showed characteristics of dormancy, including low proliferation and suppressed glucose metabolism.
Conclusions:
- Tumor cells with low PpIX accumulation are associated with high tumor grade.
- Low PpIX accumulation correlates with low cell dormancy.
- These findings provide insights into optimizing ALA-PDD for more accurate cancer diagnosis.
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