Evidence map›Paper›PMID 32596581›Full record

ArticleACS omega2020

Simultaneous Delivery of antimiR-21 and Doxorubicin by Graphene Oxide for Reducing Toxicity in Cancer Therapy.

Zhaoqi Yang, Dutao Yang, Kai Zeng, Dangran Li, Lan Qin, Yanfei Cai, Jian Jin

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2020. 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
2.2field-weighted citation impact, top 13% 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, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Nanoparticles in Medicine: Current Status in Cancer Treatment.International journal of molecular sciences · 2023
    Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Functionalized Graphene Platforms for Anticancer Drug Delivery.International journal of nanomedicine · 2021
    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

7 authors at 1 institution in 1 country.

Zhaoqi YangSchool of Pharmaceutical Sciences, Jiangnan University, Wuxi 214122, China.
Dutao YangSchool of Pharmaceutical Sciences, Jiangnan University, Wuxi 214122, China.
Kai ZengSchool of Pharmaceutical Sciences, Jiangnan University, Wuxi 214122, China.
Dangran LiSchool of Pharmaceutical Sciences, Jiangnan University, Wuxi 214122, China.
Lan QinSchool of Pharmaceutical Sciences, Jiangnan University, Wuxi 214122, China.
Yanfei CaiSchool of Pharmaceutical Sciences, Jiangnan University, Wuxi 214122, China.
Jian JinSchool of Pharmaceutical Sciences, Jiangnan University, Wuxi 214122, China.
Jiangnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graphene oxide (GO) has been studied by many researchers for its potential drug-delivery value. In order to reduce the side effects of anticancer drugs by decreasing the dosage and maintain the therapeutic effects, a dual drug-delivery system that used GO as a carrier and simultaneously loaded with antitumor drugs and antimir-21 was rationally designed for the cooperative treatment of tumors. Results obtained from our studies have found that MDA-MB-231 cells were inhibited in low Dox dose. The outcomes of confocal microscopy indicated that Dox and antimiR-21 could be released rapidly in cancer cells, which is good for killing cancer cells. In addition, qRT-PCR further demonstrated that miR-21 was silenced by antimiR-21. Consequently, GO has a great potential to codeliver chemotherapeutic drugs and gene drugs in cancer combination therapy for reducing toxicity.

Identifiers

PMID32596581
PMCPMC7315576
OpenAlexW3033787077

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.