Evidence map›Paper›PMID 30717084›Full record

ArticlePharmaceutics2019

Gold Nanocage-Incorporated Poly(ε-Caprolactone) (PCL) Fibers for Chemophotothermal Synergistic Cancer Therapy.

Ju Hyang Park, Hojun Seo, Da In Kim, Ji Hyun Choi, Jin Ho Son, Jongbok Kim, Geon Dae Moon, Dong Choon Hyun

Abstract read
In one paragraph

Article in Pharmaceutics, 2019. 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
–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

9 citing papers in PubMed.

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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

8 authors.

Ju Hyang ParkDepartment of Polymer Science and Engineering, Kyungpook National University, Daegu 41566, Korea. pjh99279@naver.com.
Hojun SeoDongnam Regional Division, Korea Institute of Industrial Technology, Busan 46938, Korea. dark911205@gmail.com.
Da In KimDepartment of Polymer Science and Engineering, Kyungpook National University, Daegu 41566, Korea. dada7230@naver.com.
Ji Hyun ChoiDepartment of Polymer Science and Engineering, Kyungpook National University, Daegu 41566, Korea. jode1532@naver.com.
Jin Ho SonDepartment of Polymer Science and Engineering, Kyungpook National University, Daegu 41566, Korea. mlbask7@naver.com.
Jongbok KimDepartment of Materials Science and Engineering, Kumoh National Institute of Technology, Gumi, Gyeongbuk 39177, Korea. jb1956k@gmail.com.
Geon Dae MoonDongnam Regional Division, Korea Institute of Industrial Technology, Busan 46938, Korea. gmoon@kitech.re.kr.
Dong Choon HyunDepartment of Polymer Science and Engineering, Kyungpook National University, Daegu 41566, Korea. dong.hyun@knu.ac.kr.

Funding

Korea Institute of Industrial Technology KITECH EO-18-00222National Research Foundation of Korea NRF-2018R1D1A1B07043878
6 · The paper itself

Abstract

This paper introduces a new fibrous system for synergistic cancer therapy, which consists of gold nanocage (AuNC)-loaded poly(ε-caprolactone) (PCL) fibers with encapsulation of a chemotherapeutic anticancer drug in their core and loading of a phase-changeable fatty acid in their sheath. Under on⁻off switching of near-infrared (NIR) light irradiation, the excellent photothermal ability and photostability of AuNCs allows repeated, significant heating of the fibers to a temperature available to hyperthermia. Simultaneously, the NIR light-induced heat generation enables the melting out of the loaded fatty acid, leading to a rapid release of the drug molecules from the fibers. The combination of this NIR light-triggered drug release with the repeated hyperthermia treatment exhibits excellent anticancer efficacy.

Indexed as

combination therapyelectrospinningNIR-triggered drug releasePCLphotothermal therapy

Identifiers

PMID30717084
PMCPMC6410212

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.