Evidence map›Paper›PMID 41752953›Full record

ReviewLife (Basel, Switzerland)2026

5-Aminolevulinic Acid-Based Radiodynamic Therapy for Malignant Gliomas: A Conceptual Framework for Mitochondria-Centered Mechanisms, Target Cell States and Translational Perspectives.

Junkoh Yamamoto

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Junkoh YamamotoDepartment of Neurosurgery, University of Occupational and Environmental Health, Iseigaoka, Yahatanishi-ku, Kitakyushu 807-8555, Fukuoka, Japan.ORCID 0000-0002-8543-8997

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

5-Aminolevulinic acid (5-ALA) is a naturally occurring heme precursor with a favorable safety profile and is widely used for fluorescence-guided resection of malignant gliomas. Exogenous administration of 5-ALA results in the selective intracellular accumulation of protoporphyrin IX (PpIX), predominantly within tumor cell mitochondria, reflecting tumor-specific alterations in cellular metabolism and heme biosynthetic pathways. Historically, the radiosensitizing potential of 5-ALA was considered limited, as 5-ALA itself is not a porphyrin and intracellular PpIX levels are lower than those achieved with classical porphyrin-based agents, such as hematoporphyrin derivatives or porfimer sodium. Recent experimental and translational studies have challenged this view by demonstrating that the interactions between 5-ALA-induced PpIX and ionizing irradiation elicit biologically significant antitumor effects. This emerging concept has been termed radiodynamic therapy (RDT) and represents a therapeutic paradigm distinct from conventional DNA-centered radiosensitization. Accumulating evidence suggests that 5-ALA-based RDT induces mitochondria-centered oxidative stress through both immediate and delayed reactive oxygen species generation, thereby linking metabolic vulnerability to the radiation response. In this review, we summarize the current mechanistic insights into 5-ALA-based RDT, particularly mitochondrial dysfunction and oxidative stress amplification. We also discuss the translational implications and future perspectives for integrating 5-ALA-based RDT into multimodal treatment strategies for malignant gliomas.

Indexed as

5-aminolevulinic acidbinary approachglioblastomamitochondriaprotoporphyrin IXradiodynamic therapyradiotherapyreactive oxygen species

Identifiers

PMID41752953
PMCPMC12941657

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.