Evidence map›Paper›PMID 32774808›Full record

ArticleIranian journal of basic medical sciences2020

Effects of 8-hydroxyquinoline-coated graphene oxide on cell death and apoptosis in MCF-7 and MCF-10 breast cell lines.

Firoozeh Kheiltash, Kazem Parivar, Nasim Hayati Roodbari, Behnam Sadeghi, Alireza Badiei

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of basic medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 30% 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

5 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

5 authors at 3 institutions in 1 country.

Firoozeh KheiltashDepartment of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Kazem ParivarDepartment of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Nasim Hayati RoodbariDepartment of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Behnam SadeghiCancer Immunotherapy and Regenerative Medicine, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran.
Alireza BadieiSchool of Chemistry, College of Science, University of Tehran, Tehran, Iran.
Islamic Azad University, Science and Research Branch · IRMotamed Cancer Institute · IRUniversity of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesBreast cancer is a devastating disease related to women. The anticancer properties of 8-hydroxyquinoline (8HQ) and the increasing use of graphene oxide (GO), as a drug delivery system with anti-cancerous properties, led us to investigate the toxicity and apoptosis-induction capability of 8HQ-coated GO on breast cancer cells compared with normal breast cells. MATERIALS AND

methodsBreast cancer (MCF-7) and normal breast (MCF-10) cell lines were treated with several doses of 8-HQ-coated GO for 12, 24, and 48 hr. The toxicity of the nanocomposite was measured using MTT assay and the effect of the nanocomposite on cell apoptosis was determined by examining the expression of

resultsThere were significantly increased cell deaths in nanocomposite-treated MCF-7 breast cancer cells, compared with treated normal breast cells. Significantly increased expression of

conclusionOverall, 8HQ-coated GO has toxicity for breast cancer cell lines and one of the mechanisms through which this nanocomposite can induce cell death is the induction of apoptosis. With complementary

Indexed as

8-HydroxyquinolineApoptosisBreast cancerCytotoxicityGraphene oxide

Identifiers

PMID32774808
PMCPMC7395195
OpenAlexW3035954967

What OpenQuestion holds

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LicenceCC BY
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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.