Evidence map›Paper›PMID 40931220›Full record

ArticleBiochemical genetics2026

Exploring Differentially Expressed Genes and Understanding the Underlying Mechanisms in Glioblastoma.

Didem Seven, Arif Ekici, Steffen Uebe, Bilge Bilgiç, Altay Sencer, Aydın Aydoseli, Andre Reis, Nur Buyru

Abstract read
PubMed Publisher
In one paragraph

Article in Biochemical genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Didem SevenDepartment of Medical Biology, Cerrahpasa Faculty of Medicine, Istanbul University Cerrahpasa, Kocamustafapasa, 34098, Istanbul, Turkey.
Arif EkiciInstitute of Human Genetics, Friedrich-Alexander-Universitat Erlangen-Nurnberg, Erlangen, Bayern, Germany.
Steffen UebeInstitute of Human Genetics, Friedrich-Alexander-Universitat Erlangen-Nurnberg, Erlangen, Bayern, Germany.
Bilge BilgiçDepartment of Pathology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Altay SencerDepartment of Neurosurgery, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Aydın AydoseliDepartment of Neurosurgery, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Andre ReisInstitute of Human Genetics, Friedrich-Alexander-Universitat Erlangen-Nurnberg, Erlangen, Bayern, Germany.
Nur BuyruDepartment of Medical Biology, Cerrahpasa Faculty of Medicine, Istanbul University Cerrahpasa, Kocamustafapasa, 34098, Istanbul, Turkey. nbuyru@yahoo.com.

Funding

Research Fund of Istanbul University Cerrahpaşa 23629The Scientific and Technological Research Council Of Turkey (TUBITAK)-BIDEB 2214 1059B141601091
6 · The paper itself

Abstract

Glioblastoma is the most aggressive and malignant tumor of the central nervous system. Current treatment options, including surgical excision, radiotherapy, and chemotherapy, have Limited efficacy, with a median survival rate of approximately 15 months. To develop novel therapeutics, it is crucial to understand the underlying molecular mechanisms driving glioblastoma. However, obtaining healthy tissue counterparts for comparison is often challenging due to the critical nature of the tissues and the tumor's location. This study aimed to compare the transcriptomic profiles of glioblastoma tissues with those of adjacent healthy tissues, to elucidate key pathways and identify upstream regulators involved in glioblastoma pathogenesis. Twenty-six pairs of glioblastoma tissues and their adjacent healthy tissues were obtained during surgery. The tumor and healthy origins were confirmed through histopathological examination. Twelve pairs were analyzed via transcriptome analysis by using the Ion GeneStudio S5 system. Ingenuity pathway analysis was performed to identify the associated pathways and upstream regulators. Selected 51 upstream regulators were analyzed using qRT-PCR. Three pairs were excluded from the RNA-sequencing (RNA-seq) analysis due to similarities between normal and tumor tissues. The dysregulated pathways were primarily associated with neuronal connections and neurotransmitter pathways. The expression patterns of upstream regulators were consistent with RNA-seq results. Molecular changes linked to the initiation of tumors can begin at an early stage, potentially preceding the appearance of clinical symptoms. The dysregulated pathways were particularly associated with specific brain tissue types. The expression of upstream regulators was consistent across both methods; however, their functional roles need further investigation.

Indexed as

Brain NeoplasmsGene Expression Regulation, NeoplasticGlioblastomaTranscriptomeAdultAgedFemaleGene Expression ProfilingHumansMaleMiddle AgedGlioblastomaIPA analysisTranscriptomic profileUpstream regulators

Identifiers

PMID40931220

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.