Evidence map›Paper›PMID 38481994›Full record

ReviewFrontiers in immunology2024

The impact of photodynamic therapy on immune system in cancer - an update.

Tomasz Dudzik, Igor Domański, Sebastian Makuch

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
7.9field-weighted citation impact, top 2% of its field
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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  13. Engineered MoSNanomaterials (Basel, Switzerland) · 2026
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  19. Immunomodulation Strategies to Enhance Oral Bone Regeneration.Advances in experimental medicine and biology · 2026
    Review
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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

3 authors at 1 institution in 1 country.

Tomasz Dudzik *Faculty of Medicine, Wroclaw Medical University, Wroclaw, Poland.
Igor Domański *Faculty of Medicine, Wroclaw Medical University, Wroclaw, Poland.
Sebastian MakuchDepartment of Clinical and Experimental Pathology, Wroclaw Medical University, Wroclaw, Poland.
Wroclaw Medical University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photodynamic therapy (PDT) is a therapeutic approach that has gained significant attention in recent years with its promising impact on the immune system. Recent studies have shown that PDT can modulate both the innate and adaptive arms of the immune system. Currently, numerous clinical trials are underway to investigate the effectiveness of this method in treating various types of cancer, as well as to evaluate the impact of PDT on immune system in cancer treatment. Notably, clinical studies have demonstrated the recruitment and activation of immune cells, including neutrophils, macrophages, and dendritic cells, at the treatment site following PDT. Moreover, combination approaches involving PDT and immunotherapy have also been explored in clinical trials. Despite significant advancements in its technological and clinical development, further studies are needed to fully uncover the mechanisms underlying immune activation by PDT. The main objective of this review is to comprehensively summarize and discuss both ongoing and completed studies that evaluate the impact of PDT of cancer on immune response.

Indexed as

NeoplasmsPhotochemotherapyHumansImmunotherapyNeutrophilsPhotosensitizing AgentsPhotosensitizing Agentscancerclinical studiesimmune systemPDTphotodynamic therapyphotosensitizers

Identifiers

PMID38481994
PMCPMC10933008
OpenAlexW4392235721

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.