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Record W4407736607 · doi:10.1007/s43630-025-00690-2

Enhancing antitumour immunity with photodynamic therapy

2025· article· en· W4407736607 on OpenAlexaff
Pål Kristian Selbo, Mladen Korbelik

Bibliographic record

VenuePhotochemical & Photobiological Sciences · 2025
Typearticle
Languageen
FieldMedicine
TopicPhotodynamic Therapy Research Studies
Canadian institutionsBC Cancer Agency
FundersRadiumhospitalets ForskningsstifltelseUniversitetet i Oslo
KeywordsPhotodynamic therapyImmunotherapyTreatment modalityMedicineModalitiesImmunityCancerModality (human–computer interaction)Immune systemVaccinationPerspective (graphical)ImmunologyCancer researchOncologyInternal medicineComputer scienceChemistry

Abstract

fetched live from OpenAlex

In this perspective, we present and discuss pre-clinical and some clinical studies demonstrating that local photodynamic therapy (PDT) per se is a treatment modality that can induce systemic anti-tumour immunity, however, the anti-tumour efficacy is strongly enhanced when PDT is combined with other treatment modalities, e.g., vaccines or ICI therapy. PDT has been recognized for over 30 years as a modality inducing strong immune effects in treated tumours. More recently, PDT has become perceived as a distinct type of immunogenic antitumor modality with an attractive potential for use as unique form of clinical cancer immunotherapy. It can be argued that PDT-inflicted tumour tissue injury provokes in situ vaccination effect. In the end of this perspective paper, we express our opinion of challenges and future directions in the field of PDT and PDT + immunotherapy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.878

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.347
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2025
Admission routes1
Has abstractyes

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