Evidence map›Paper›PMID 38448914›Full record

ArticleEuropean journal of medical research2024

CD133 significance in glioblastoma development: in silico and in vitro study.

Mahdi Abdoli Shadbad, Fatemeh Nejadi Orang, Behzad Baradaran

Abstract read
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Article in European journal of medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

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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

11 citing papers in PubMed.

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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

3 authors.

Mahdi Abdoli ShadbadStudent Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
Fatemeh Nejadi OrangImmunology Research Center, Tabriz University of Medical Sciences, Daneshgah St, Tabriz, Iran.
Behzad BaradaranImmunology Research Center, Tabriz University of Medical Sciences, Daneshgah St, Tabriz, Iran. baradaranb@tbzmed.ac.ir.ORCID http://orcid.org/0000-0002-8642-6795

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioblastoma multiform (GBM) is among the commonly diagnosed brain malignancies with poor prognosis. CD133 has been introduced as an oncogene in various cancers, like GBM. This study aimed to investigate the significance of CD133 in GBM development using in silico and in vitro techniques.

methodThe TCGA-GBM database was analyzed for the correlational and comparative studies. After selecting the U87MG cell line, CD133-siRNA was transfected into U87MG cells and treated with temozolomide. The cell viability, cell cycle, migration, clonogenicity, and apoptosis of groups were investigated using MTT, flow cytometry, wound-healing, colony formation, and annexin V/PI assays. Using qRT-PCR method, the mRNA expression levels of MMP16, SOX2, RAF1, MAP2K1, MAPK3, PIK3CA, AKT3, mTOR, CDK4, and BCL2 were studied.

resultsCD133 silencing improves apoptosis rate, arrests the cell cycle at the sub-G1 phase, suppresses the clonogenicity of U87MG cells, and inhibits the PI3K/Akt and MAPK pathways via downregulating the RAF1, MAP2K1, MAPK3, PIK3CA, AKT3, and mTOR expression. Besides, combining CD133 silencing with temozolomide treatment considerably inhibits the migration of U87MG cells compared to temozolomide monotherapy.

conclusionCD133 can regulate the PI3K/Akt and MAPK pathways and modulate the clonogenicity, apoptosis, and cell cycle of GBM. Combining CD133 silencing with temozolomide treatment considerably increases apoptosis, arrests the cell cycle at the sub-G1, and suppresses migration of U87MG cells compared to temozolomide monotherapy.

Indexed as

GlioblastomaClass I Phosphatidylinositol 3-KinasesHumansPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktTemozolomideTOR Serine-Threonine KinasesClass I Phosphatidylinositol 3-KinasesPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktTemozolomideTOR Serine-Threonine KinasesCD133GlioblastomaMAPKPI3K/AktTemozolomide

Identifiers

PMID38448914
PMCPMC10918901

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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.