Evidence map›Paper›PMID 21769639›Full record

ArticleLasers in medical science2012

Therapeutic effects of systemic photodynamic therapy in a leukemia animal model using A20 cells.

Lan Ying Wen, Su-Mi Bae, Heung-Jae Chun, Kye-Shin Park, Woong Shick Ahn

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Article in Lasers in medical science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Lan Ying WenCancer Research Institute of Medical Science, The Catholic University of Korea College of Medicine, 505 Banpodong, Seocho-ku, Seoul, 137-040, South Korea.
Su-Mi Bae
Heung-Jae Chun
Kye-Shin Park
Woong Shick Ahn
Catholic University of Korea · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photodynamic therapy (PDT) is attracting attention because of its noticeable inhibitory effects on the growth of dermatological and other solid tumors. Here, we studied the use of PDT in systemic diseases such as leukemia, lymphoma, and metastatic cancer, for which tumor formation areas cannot be clearly compartmentalized. We developed a systemic PDT method and examined its effect in a leukemia mouse model. Growth inhibition of A20 cells (H-2(d), murine B-lymphoma/leukemia, and Balb/c origin) induced by PDT/Photodithazine was evaluated by EZ-Cytox assay. After PDT, changes in cell morphology were assessed by light microscopy. Induction of apoptosis, as well as changes in the cell cycle, were assessed by fluorescence-activated cell sorting (FACS) analysis. A20 cells were injected into Balb/c mice through the tail veins, and PDT was performed. A total of 10 mg kg(-1) body weight of Photodithazine concentration was injected intravenously. After 5 min, micro photofibers (diameter, 200 μm) were inserted into the tail veins and irradiated at 1,200 J with a laser. PDT inhibited growth of A20 cells and resulted in marked morphological changes. PDT also induced apoptosis and G1 arrest. In a leukemia mouse model, systemic PDT increased the survival rate (p < 0.01). This is the first report of the effects of systemic PDT in a leukemia animal model. PDT has been applied only locally in most cases, for example to solid tumors. This study provides experimental evidence that systemic PDT could effectively be applied to systemic and spread tumors, for which tumor formation areas cannot clearly be determined.

Indexed as

AnimalsApoptosisCell Line, TumorFlow CytometryLeukemia, ExperimentalLymphomaMiceMice, Inbred BALB CNeoplasm TransplantationPhotochemotherapyPhotosensitizing AgentsPhotosensitizing Agents

Identifiers

PMID21769639
OpenAlexW2128826250

What OpenQuestion holds

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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.