Evidence map›Paper›PMID 28622716›Full record

ArticleNanoscale research letters2017

A New Method Without Organic Solvent to Targeted Nanodrug for Enhanced Anticancer Efficacy.

Shichao Wu, Xiangrui Yang, Mingyuan Zou, Zhenqing Hou, Jianghua Yan

Open access · goldAbstract read
In one paragraph

Article in Nanoscale research letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

5 authors at 1 institution in 1 country.

Shichao WuCancer Research Center, Medical College, Xiamen University, Xiamen, 361005, China.
Xiangrui YangCancer Research Center, Medical College, Xiamen University, Xiamen, 361005, China. yangxr@xmu.edu.cn.
Mingyuan ZouCancer Research Center, Medical College, Xiamen University, Xiamen, 361005, China.
Zhenqing HouInstitute of Soft Matter and Biomimetics, College of Materials, Xiamen University, Xiamen, 361005, China. houzhenqing@xmu.edu.cn.
Jianghua YanCancer Research Center, Medical College, Xiamen University, Xiamen, 361005, China. jhyan@xmu.edu.cn.
Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the hydrophobic group is always essential to the synthesis of the drug-loaded nanoparticles, a majority of the methods rely heavily on organic solvent, which may not be completely removed and might be a potential threat to the patients. In this study, we completely "green" synthesized 10-hydroxycamptothecine (HCPT) loaded, folate (FA)-modified nanoneedles (HFNDs) for highly efficient cancer therapy with high drug loading, targeting property, and imaging capability. It should be noted that no organic solvent was used in the preparation process. In vitro cell uptake study and the in vivo distribution study showed that the HFNDs, with FA on the surface, revealed an obviously targeting property and entered the HeLa cells easier than the chitosan-HCPT nanoneedles without FA modified (NDs). The cytotoxicity tests illustrated that the HFNDs possessed better killing ability to HeLa cells than the individual drug or the NDs in the same dose, indicating its good anticancer effect. The in vivo anticancer experiment further revealed the pronounced anticancer effects and the lower side effects of the HFNDs. This new method without organic solvent will lead to a promising sustained drug delivery system for cancer diagnosis and treatment.

Indexed as

AnticancerChitosanGreenHCPTTargeting

Identifiers

PMID28622716
PMCPMC5472645
OpenAlexW2625177711

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.