Evidence map›Paper›PMID 24573956›Full record

ArticleLasers in medical science2014

Apoptosis-associated genes related to photodynamic therapy in breast carcinomas.

J C Silva, J Ferreira-Strixino, L C Fontana, L M Paula, L Raniero, A A Martin, R A Canevari

Abstract read
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In one paragraph

Article in Lasers in medical science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 17 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

7 authors at 1 institution in 1 country.

J C SilvaLaboratório de Espectroscopia Vibracional Biomédica, Instituto de Pesquisa e Desenvolvimento-IP&D, Universidade do Vale do Paraíba-UNIVAP, Avenida Shishima Hifumi 2911, São José dos Campos, SP, 12244-000, Brazil.
J Ferreira-Strixino
L C Fontana
L M Paula
L Raniero
A A Martin
R A Canevari
Universidade do Vale do Paraíba · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to find the apoptosis molecular markers involved in the cell death that might be related to photodynamic therapy (PDT) mechanisms in breast cancer. The mammary tumors were induced in 25 Sprague-Dawley female rats by a single, oral gavage of 7,12-dimethylbenz(a)anthracene (DMBA; 70 mg/kg body weight). Animals were divided into four groups: G1 (normal, without DMBA), G2 (control, without PDT treatment), G3 (euthanized 48 h after PDT), and G4 (euthanized 24 h after PDT). For PDT experiments, the photosensitizer used was Photodithazine, and 100 J/cm of light at a fluence rate of 100 mW/cm was delivered to treat lesions. A sample of each animal was investigated by quantitative real-time PCR using Rat Apoptosis RT2 Profiler™ PCR Array platform. The results showed 20 genes with differential expression between PDT and control groups. A significant upregulation was observed for pro-apoptotic genes CASP4, CASP12, CIDEA, GADD45A, and FAS and downregulation of anti-apoptotic genes MAPK8IP1, TNFRSF11B, and NAIP2 in PDT-treated tumors. These results indicate that these genes are more directly involved in cell apoptosis induced by PDT.

Indexed as

AnimalsAntineoplastic AgentsApoptosisApoptosis Regulatory ProteinsFemaleGene ExpressionGlucosamineLasers, SemiconductorMammary Neoplasms, ExperimentalPhotochemotherapyPhotosensitizing AgentsRatsRats, Sprague-DawleyReal-Time Polymerase Chain ReactionAntineoplastic AgentsApoptosis Regulatory ProteinsGlucosamineN-methylglucosaminePhotosensitizing Agents

Identifiers

PMID24573956
OpenAlexW2081897799

What OpenQuestion holds

Textmetadata
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.