Evidence map›Paper›PMID 33742370›Full record

ArticleJournal of gastrointestinal cancer2022

The Characters of Graphene Oxide Nanoparticles and Doxorubicin Against HCT-116 Colorectal Cancer Cells In Vitro.

Shaima Rabeea Banoon, Abdolmajid Ghasemian

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In one paragraph

Article in Journal of gastrointestinal cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 24 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

2 authors at 2 institutions in 2 countries.

Shaima Rabeea BanoonDepartment of Biology, College of Science, University of Misan, Misan, Iraq.
Abdolmajid GhasemianDepartment of Biology, Central Tehran Branch, Islamic Azad University, Tehran, Iran. majidghasemian86@gmail.com.
Islamic Azad University Central Tehran Branch · IRUniversity of Misan · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeColorectal cancer (CRC) is among the leading causes of cancer death worldwide. Graphene oxide (GO) plus doxorubicin (DOX) have low toxicity and facilitate drug carriage and provide enough surface. The GO-DOX anticancer effects against HCT-116 human CRC cells were compared with that of pure GO and DOX compounds.

methodsDifferent concentrations of graphene oxide (GO), doxorubicin (DOX), and graphene oxide plus doxorubicin (GO-DOX) were prepared. The MTT test was conducted to determine the viability of cells and flow cytometry was performed following DOX, GO, and GO-DOX exposure. Expressions of caspase 3, Bax, and ATG5 autophagy-related genes were investigated using RT-qPCR technique.

resultsIn the MTT test, DOX and GO at 100 µg/mL and 40 µg/mL exerted 50% cell death (LC50) against the HCT-116 cells. We observed significant differences in GO-DOX LC50 at concentrations of 1 (p = 0.003), 2.5 (p = 0.003), 5 (p = 0.00009), and 10 µg/mL (p = 0.0001). The rate of apoptosis following GO, DOX, and GO-DOX included 24%, 31%, and 56%, respectively. The GO-DOX significantly increased the ATG5 (3.1-fold, p < 0.0001), caspase 3 (4.7-fold, p < 0.0001), and Bax (4.3-fold, p < 0.0001) gene expression.

conclusionThe GO-DOX exerted anticancer effects against the HCT-116 cells via inducing the apoptosis and autophagy.

Indexed as

Colorectal NeoplasmsNanoparticlesApoptosisbcl-2-Associated X ProteinCaspase 3Cell Line, TumorDoxorubicinGraphiteHCT116 CellsHumansbcl-2-Associated X ProteinCaspase 3Doxorubicingraphene oxideGraphiteApoptosisAutophagyColorectal cancerGraphene oxide

Identifiers

PMID33742370
OpenAlexW3139042887

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.