Evidence map›Paper›PMID 29029410›Full record

ArticleOncotarget2017

Efficient intracellular delivery makes cancer cells sensitive to nanoemulsive chemodrugs.

Shan Liu, Dilong Chen, Yuming Yuan, Xue Zhang, Yao Li, Shenglei Yan, Jingqing Zhang

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 11 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 3 institutions in 1 country.

Shan LiuChongqing Research Center for Pharmaceutical Engineering, Chongqing Medical University, Chongqing 400016, China.
Dilong ChenTumor Drug Engineering Research Center, Chongqing Three Gorges Medical College, Chongqing 404120, China.
Yuming YuanChongqing Research Center for Pharmaceutical Engineering, Chongqing Medical University, Chongqing 400016, China.
Xue ZhangChongqing Research Center for Pharmaceutical Engineering, Chongqing Medical University, Chongqing 400016, China.
Yao LiChongqing Research Center for Pharmaceutical Engineering, Chongqing Medical University, Chongqing 400016, China.
Shenglei YanChongqing Research Center for Pharmaceutical Engineering, Chongqing Medical University, Chongqing 400016, China.
Jingqing ZhangChongqing Research Center for Pharmaceutical Engineering, Chongqing Medical University, Chongqing 400016, China.
Chongqing Medical and Pharmaceutical College · CNChongqing Medical University · CNChongqing Three Gorges University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evodiamine has been documented to possess activities in numerous cancer cells. Our preliminary study showed that A549 cells were insensitive to evodiamine. In this paper, A549 cells are sensitive to nanoemulsive evodiamine (EVONE) through an efficient intracellular and systematic delivery. EVONE entered tumor cells by energy-dependent and mainly through clathrin-mediated endocytosis. EVONE exerted a higher cytotoxicity in a dose- and time-dependent manner. The enhanced induction of cell cycle arrest was ascribed to the down-regulation of cyclin B and cyclin dependent kinase 1, while the enhanced induction of apoptosis was due to the activation of caspase -3, -8 and -9 and the decreased B-cell lymphoma 2/ assaciated X protein ratio. Furthermore, the

Indexed as

cancer cellsefficient deliveryimproved bioavailabilityin situ absorption characteristicsnanoemulsive chemodrugs

Identifiers

PMID29029410
PMCPMC5630310
OpenAlexW2608915231

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.