Evidence map›Paper›PMID 36789113›Full record

ArticleAvicenna journal of medical biotechnology

Reyhaneh Safaei, Hanieh Mojtahedi, Sara Hanaei, Azadehsadat Razavi, Marzie Esmaeili, Maryam Sadr, Arezou Rezaei, Maryam Edalatfar, Hamidreza Khayat Kashani, Mohsen Sadeghi-Naini and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Avicenna journal of medical biotechnology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Correlations ofMolecular and clinical oncology · 2025
    Article
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

15 authors at 8 institutions in 1 country.

Reyhaneh SafaeiDepartment of Pathology, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran.
Hanieh MojtahediMolecular Immunology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Sara HanaeiDepartment of Neurosurgery, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
Azadehsadat RazaviResearch Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran.
Marzie EsmaeiliResearch Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran.
Maryam SadrMolecular Immunology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Arezou RezaeiResearch Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran.
Maryam EdalatfarDepartment of Neurosurgery, lmam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hamidreza Khayat KashaniDepartment of Neurosurgery, lmam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohsen Sadeghi-NainiDepartment of Neurosurgery, Lorestan University of Medical Sciences, KhorramAbad, Iran.
Farzaneh DarbeheshtiDepartment of Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Jaber GharehdaghiLegal Medicine Research Center, Legal Medicine Organization, Tehran, Iran.
Mehdi ForouzeshLegal Medicine Research Center, Legal Medicine Organization, Tehran, Iran.
Abdolali EbrahimiDepartment of Pathology, lmam Hossein Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Nima RezaeiNetwork of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
Tehran University of Medical Sciences · IRChildren's Medical Center · IRIranian Legal Medicine Organization · IRShahid Beheshti University of Medical Sciences · IRUniversal Scientific Education and Research Network · IRImam Hossein Hospital · IRLorestan University of Medical Sciences · IRUniversity of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is the most common and aggressive primary malignant brain tumor with poor prognosis and high potential of dispersion to other brain tissues in adult. Effective and modern choices of treatment including chemotherapy with alkylating agents marginally extend survival of GBM. However, alkylating agents can lead to highly harmful mismatch during DNA replication causing apoptosis and cell death. Accordingly, O6-Methylguanine-DNA methyltransferase (MGMT) removes alkyl adducts, thereby causing resistance to alkylating drugs. Single-Nucleotide Polymorphisms (SNPs) in MGMT promoter region may play a role in the regulation of MGMT expression and prediction of glioma development risk. In order to evaluate the clinical significance of rs1625649 SNP in the MGMT promoter region of glioblastoma, genomic DNA from a series of 54 patients with GBM and 50 healthy individuals in Iranian population were collected for tetra ARMS PCR amplification. None of the "A" or "C" alleles were associated with tumor occurrence, the "AA" genotype was more frequent in healthy subjects, and the "AC" genotype was 4.6 times more common in patients with GBM. The longest survival time was observed in the "CC" genotype; however, this difference was not statistically significant. On the other hand, homozygous rs1625649 (AA genotype) was significantly associated with a better survival than the cases with heterozygous rs1625649 (CA genotype) or wild type rs1625649 (CC genotype), predicting better response to temozolomide-based chemotherapy.

Indexed as

GBMGlioblastoma multiformeMGMTO6-Methylguanine DNA methyltransferaseSNP

Identifiers

PMID36789113
PMCPMC9895979
OpenAlexW4312217702

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.