Evidence map›Paper›PMID 29549555›Full record

ArticleLasers in medical science2018

NIR laser pointer for in vivo photothermal therapy of murine LM3 tumor using intratumoral China ink as a photothermal agent.

Alfonso Blázquez-Castro, Lucas L Colombo, Silvia I Vanzulli, Juan C Stockert

Abstract read
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Article in Lasers in medical science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Alfonso Blázquez-CastroDepartment of Physics of Materials, Faculty of Sciences, Autonomous University of Madrid, 28049, Madrid, Spain. singlet763@gmail.com.ORCID http://orcid.org/0000-0002-3270-7065
Lucas L ColomboUniversidad de Buenos Aires, Instituto de Oncología Angel H. Roffo, Area Investigación, Buenos Aires, C1417DTB, Argentina.
Silvia I VanzulliInstituto de Investigaciones Hematológicas, Academia Nacional de Medicina, Buenos Aires, C1425ASU, Argentina.
Juan C StockertUniversidad de Buenos Aires, Instituto de Oncología Angel H. Roffo, Area Investigación, Buenos Aires, C1417DTB, Argentina.

Funding

MC Action COFUND 2015 - InterTalentum EU project 713366
6 · The paper itself

Abstract

The photothermal effect is one of the most promising photonic procedures currently under development to successfully treat several clinical disorders, none the least some kinds of cancer. At present, this field is undergoing a renewed interest due to advances in both photothermal materials and better-suited light sources. However, scientific studies in this area are sometimes hampered by the relative unavailability of state-of-art materials or the complexity of setting up a dedicated optical facility. Here, we present a simple and affordable approach to do research in the photothermal field that relies on a commercial NIR laser pointer and a readily available everyday pigment: China ink. A proof-of-concept study is presented in which mice bearing intradermal LM3 mammary adenocarcinoma tumors were successfully treated in vivo employing China ink and the laser pointer. TUNEL and Ki-67 post-treatment tissue assessment clearly indicates the deleterious action of the photothermal treatment on the tumor. Therefore, the feasibility of this simple approach has been demonstrated, which may inspire other groups to implement simple procedures to further explore the photothermal effect.

Indexed as

Hyperthermia, InducedInfrared RaysInkLasersPhototherapyAnimalsApoptosisCell Line, TumorChinaMiceNeoplasmsBiological windowChina inkLaser pointerNIR laserPhotothermal effectPhotothermal therapy

Identifiers

What OpenQuestion holds

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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.