Evidence map›Paper›PMID 38542090›Full record

ArticleInternational journal of molecular sciences2024

ABCG2 Expression as a Potential Survival Predictor in Human Gliomas.

Marina Raguž, Marko Tarle, Danko Müller, Čedna Tomasović-Lončarić, Hana Chudy, Tonko Marinović, Darko Chudy

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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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

7 authors at 2 institutions in 1 country.

Marina RagužDepartment of Neurosurgery, Dubrava University Hospital, 10000 Zagreb, Croatia.
Marko TarleDepartment of Maxillofacial Surgery, Dubrava University Hospital, 10000 Zagreb, Croatia.ORCID 0000-0002-4173-1278
Danko MüllerDepartment of Pathology and Cytology, Dubrava University Hospital, 10000 Zagreb, Croatia.
Čedna Tomasović-LončarićSchool of Medicine, Catholic University of Croatia, 10000 Zagreb, Croatia.
Hana ChudyDepartment of Neurology, Dubrava University Hospital, 10000 Zagreb, Croatia.
Tonko MarinovićDepartment of Neurosurgery, Dubrava University Hospital, 10000 Zagreb, Croatia.
Darko ChudyDepartment of Neurosurgery, Dubrava University Hospital, 10000 Zagreb, Croatia.
University of Zagreb · HRUniversity Hospital Dubrava · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gliomas are notably challenging to treat due to their invasive nature and resistance to conventional therapies. The ABCG2 protein has attracted attention for its role in multidrug resistance, complicating treatment effectiveness. This study scrutinized the relationship between ABCG2 expression and glioma grade and the role of ABCG2 in the process of glioma progression, aiming to evaluate ABCG2 expression as a predictive factor of tumor progression and patient survival. Conducted at Dubrava University Hospital, Zagreb, Croatia, the study analyzed 152 glioma specimens from 2013 to 2022, assessing ABCG2 expression alongside standard clinical markers. A significant association was found between patients' survival and the ABCG2 profile (

Indexed as

Brain NeoplasmsGliomaATP Binding Cassette Transporter, Subfamily G, Member 2HumansKi-67 AntigenNeoplasm ProteinsTreatment OutcomeABCG2 protein, humanATP Binding Cassette Transporter, Subfamily G, Member 2Ki-67 AntigenNeoplasm ProteinsABCG2CNSgliomatumor progression

Identifiers

PMID38542090
PMCPMC10969902
OpenAlexW4392595215

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.