Evidence map›Paper›PMID 29774064›Full record

ArticleTheranostics2018

Tumour-homing chimeric polypeptide-conjugated polypyrrole nanoparticles for imaging-guided synergistic photothermal and chemical therapy of cancer.

Mengmeng Sun, Jianwen Guo, Hanjun Hao, Tong Tong, Kun Wang, Weiping Gao

Open access · goldAbstract read
In one paragraph

Article in Theranostics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 45 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

6 authors at 1 institution in 1 country.

Mengmeng SunDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Jianwen GuoDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Hanjun HaoDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Tong TongKey Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Kun WangKey Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Weiping GaoDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Tsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Near-infrared (NIR)-absorbing conjugated polymer nanoparticles are interesting for imaging-guided combination therapy, especially for synergistic photothermal therapy and chemotherapy; however, most of them target tumours passively through the enhanced permeability and retention (EPR) effect, leading to low utilization efficiency. To address this problem, we report an active tumour-targeting strategy of tumour-homing chimeric polypeptide-conjugated NIR-absorbing conjugated-polymer nanoparticles as a new class of drug nanocarriers for imaging-guided combination therapy of cancer.

Indexed as

AnimalsAntineoplastic AgentsCell Line, TumorCells, CulturedCombined Modality TherapyElastinFemaleHumansMelanomaMiceMice, Inbred BALB CMice, NudeNanoconjugatesPeptidesPhotoacoustic TechniquesPhotochemotherapyAntineoplastic AgentsElastinNanoconjugatesPeptidesPyrrolescombination therapynanomedicinephotothermal therapypolypyrroletumour targeting

Identifiers

PMID29774064
PMCPMC5956998
OpenAlexW2801502192

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.