Evidence map›Paper›PMID 39320555›Full record

ArticleLasers in medical science2024

Investigation of photothermal treatment with 532 nm laser light on laryngeal cancer in an in vivo tumor model.

Myungji Kang, Hyun Wook Kang

Abstract read
PubMed Publisher
In one paragraph

Article in Lasers in medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Myungji KangIndustry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan, 48513, Republic of Korea.
Hyun Wook KangIndustry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan, 48513, Republic of Korea. wkang@pukyong.ac.kr.ORCID http://orcid.org/0000-0002-0861-1354

Funding

Ministry of Education 2021R1A6A1A03039211Ministry of SMEs and Startups S3264987
6 · The paper itself

Abstract

Laryngeal cancer is the second most common cancer in the upper aerodigestive tract, with its incidence increasing across all ages. The conventional treatments for laryngeal cancer include surgical procedure, radiation, and chemotherapy; however, these treatments can lead to various complications. Photothermal therapy (PTT) using laser light has been employed form cancer effective treatment because of its minimal invasion and short operation time. The current study aims to investigate the feasibility of 532 nm PTT on laryngeal cancer in an invivo tumor model. Ex vivo dosimetry evaluation was conducted to determine the laser irradiation conditions, and HEP-2 tumor bearing mice were used to demonstrate in vivo photothermal effects. In addition, histology and western blot analysis were conducted to verify tumor necrosis and any changes in cancer-associated factors in the tumor tissues. The current in vivo results showed that PTT at 5 W for 40 s and 20 W for 10 s had comparable effects in terms of temperature increase and tumor removal. The 532 nm PTT significantly decreased the remaining tumor and downregulated the expression levels of MMP- 9 and ERK. The current study demonstrated that the 532 nm PTT could be a feasible option for treatment of laryngeal tumor with high power delivery for a short exposure time. Further investigations will confirm the endoscopic application of the 532 nm PTT for the treatment of intralaryngeal tissue prior to clinical translation.

Indexed as

Laryngeal NeoplasmsPhotothermal TherapyAnimalsCell Line, TumorDisease Models, AnimalHumansMice532 nm laserCancer treatmentLaryngeal cancerPhotothermal therapy (PTT)

Identifiers

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.