Evidence map›Paper›PMID 39733415›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2024

Immunomodulatory Interventions Based on a Bioinformatics Study of TLR2 in Glioblastoma Multiforme.

Seyedeh Elham Norollahi, Saman Morovat, Shahrokh Yousefzadeh-Chabok, Bahman Yousefi, Fatemeh Nejatifar, Mehdi Evazalipour, Ali Rashidy-Pour, Ali Akbar Samadani

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Article in Asian Pacific journal of cancer prevention : APJCP, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Article
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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

8 authors.

Seyedeh Elham NorollahiCancer Research Center and Department of Immunology, Semnan University of Medical Sciences, Semnan, Iran.
Saman MorovatDepartment of Medical Genetics and Molecular Biology, Faculty of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.
Shahrokh Yousefzadeh-ChabokGuilan Road Trauma Research Center, Trauma Institute, Guilan University of Medical Sciences, Rasht, Iran.
Bahman YousefiCancer Research Center and Department of Immunology, Semnan University of Medical Sciences, Semnan, Iran.ORCID 0000-0002-9889-2195
Fatemeh NejatifarDepartment of Hematology and Oncology, Razi Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran.
Mehdi EvazalipourDepartment of Pharmaceutical Biotechnology, School of Pharmacy, Guilan University of Medical Sciences, Rasht, Iran.
Ali Rashidy-PourResearch Center of Physiology, Semnan University of Medical Sciences, Semnan, Iran.
Ali Akbar SamadaniGuilan Road Trauma Research Center, Trauma Institute, Guilan University of Medical Sciences, Rasht, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOne of the most malignant types of tumors with a remarkable ability of recurrence rate and aggressiveness is glioblastoma multiforme(GBM). Anyway, according to the restricted remedies accessible for the treatment of this serious tumor, there is no confident and stable therapeutic strategy. Notably, bioinformatics analysis can detect many effective genes in the diagnosis and treatment of GBM. MATERIALS AND

methodsUsing large-scale data analysis and bioinformatics, we examined TLR2's role in GBM. We analyzed gene expression datasets from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) to recognize disparately expressed diverse genes (DEGs) associated with TLR2. A protein-protein interaction (PPI) network was constructed to reveal potential molecular partners and functional enrichment analysis elucidated biological activities. In this account, the correlation and association between TLR2 expression and the infiltration of immune cells within the tumor microenvironment were investigated.  Results: Our analysis demonstrated significant differential gene expression patterns in GBM, especially TLR2. The PPI network highlighted interactions with key proteins in pathways related to proliferation, invasion, immune evasion, and angiogenesis. Functional enrichment analysis indicated TLR2's involvement in critical signaling processes, including toll-like receptor signaling. Interestingly, TLR2 expression was strongly associated with the infiltration of immune cells, proposing its performance and function in the tumor microenvironment.

conclusionUnderstanding TLR2's functions in glioblastoma and other cancers is vital for developing targeted therapies and immunomodulatory interventions, potentially improving clinical outcomes for patients facing these formidable diseases. Further validation and functional studies are needed to confirm TLR2's role in cancer and expand the prospects for combination therapies.

Indexed as

Brain NeoplasmsComputational BiologyGlioblastomaProtein Interaction MapsToll-Like Receptor 2Tumor MicroenvironmentBiomarkers, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, TumorTLR2 protein, humanToll-Like Receptor 2Bioinformatics studyGEOGlioblastomaTCGATLR2

Identifiers

PMID39733415
PMCPMC12008337

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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.