Evidence map›Paper›PMID 31602649›Full record

ReviewPhotochemistry and photobiology2019

The Course of Immune Stimulation by Photodynamic Therapy: Bridging Fundamentals of Photochemically Induced Immunogenic Cell Death to the Enrichment of T-Cell Repertoire.

Shubhankar Nath, Girgis Obaid, Tayyaba Hasan

Open access · bronzeAbstract readReview
In one paragraph

Review in Photochemistry and photobiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
11.3field-weighted citation impact, top 1% 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

84 citing papers in PubMed, 132 citations in OpenAlex.

  1. Trial
  2. Article
  3. The clinical ionizable lipid SM-102 enhances photochemical immunogenic cell death by verteporfin-conjugated liposomes and improves survival in vivo.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2026
    Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Special Issue "Molecular Advances in Oncological Photodynamic Therapy".International journal of molecular sciences · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. A Physiochemical,ACS applied bio materials · 2024
    Article

24 more citing papers are in PubMed but not listed here.

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.

Shubhankar NathWellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.ORCID 0000-0001-5778-7615
Girgis ObaidWellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.ORCID 0000-0002-9452-4467
Tayyaba HasanWellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Harvard University · US

Funding

Small Molecule Enhancers of Photodynamic Therapy for Skin CancerP01CA084203 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Tayyaba Hasan · 2001 to 2026
$27.9M
Heterocellular 3D ovarian tumor arrays for imaging and mechanistic combinationsR01CA158415 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HASAN, TAYYABA · 2012 to 2016
$2.0M
Ovarian Cancer PDT: Multi-intracellular targeting and Image-guided dosimetryR01CA160998 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HASAN, TAYYABA · 2011 to 2015
$2.0M
Molecular imaging-directed bioengineering of nanoconjugates as adaptable tumor targeting platformsK99CA215301 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI OBAID, GIRGIS · 2018 to 2019
$358k
NCI NIH HHS K99 CA215301NCI NIH HHS P01 CA084203NCI NIH HHS PO1 CA084203NCI NIH HHS R01 CA158415NCI NIH HHS R01 CA160998NCI NIH HHS RO1CA158415NCI NIH HHS RO1CA160998
6 · The paper itself

Abstract

Photodynamic therapy (PDT) is a potentially immunogenic and FDA-approved antitumor treatment modality that utilizes the spatiotemporal combination of a photosensitizer, light and oftentimes oxygen, to generate therapeutic cytotoxic molecules. Certain photosensitizers under specific conditions, including ones in clinical practice, have been shown to elicit an immune response following photoillumination. When localized within tumor tissue, photogenerated cytotoxic molecules can lead to immunogenic cell death (ICD) of tumor cells, which release damage-associated molecular patterns and tumor-specific antigens. Subsequently, the T-lymphocyte (T cell)-mediated adaptive immune system can become activated. Activated T cells then disseminate into systemic circulation and can eliminate primary and metastatic tumors. In this review, we will detail the multistage cascade of events following PDT of solid tumors that ultimately lead to the activation of an antitumor immune response. More specifically, we connect the fundamentals of photochemically induced ICD with a proposition on potential mechanisms for PDT enhancement of the adaptive antitumor response. We postulate a hypothesis that during the course of the immune stimulation process, PDT also enriches the T-cell repertoire with tumor-reactive activated T cells, diversifying their tumor-specific targets and eliciting a more expansive and rigorous antitumor response. The implications of such a process are likely to impact the outcomes of rational combinations with immune checkpoint blockade, warranting investigations into T-cell diversity as a previously understudied and potentially transformative paradigm in antitumor photodynamic immunotherapy.

Indexed as

PhotochemotherapyAnimalsCell SurvivalHumansNeoplasmsT-Lymphocytes

Identifiers

PMID31602649
PMCPMC6878142
OpenAlexW2980232636

What OpenQuestion holds

Textmetadata
LicenceTDM
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.