Evidence map›Paper›PMID 38203743›Full record

ArticleInternational journal of molecular sciences2024

Investigating the Association between the Autophagy Markers LC3B,

Farheen Danish, Muhammad Asif Qureshi, Talat Mirza, Wajiha Amin, Sufiyan Sufiyan, Sana Naeem, Fatima Arshad, Nouman Mughal

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Farheen DanishDepartment of Pathology, Dow International Medical College, Dow University of Health Sciences, Karachi 75300, Pakistan.
Muhammad Asif QureshiDepartment of Pathology, Dow International Medical College, Dow University of Health Sciences, Karachi 75300, Pakistan.ORCID 0000-0002-8370-1069
Talat MirzaDepartments of Research & Molecular Medicine, Ziauddin University, Karachi 75600, Pakistan.
Wajiha AminDepartments of Biological and Biomedical Sciences, Aga Khan University, Karachi 74800, Pakistan.
Sufiyan SufiyanDepartments of Biological and Biomedical Sciences, Aga Khan University, Karachi 74800, Pakistan.
Sana NaeemDepartments of Biological and Biomedical Sciences, Aga Khan University, Karachi 74800, Pakistan.
Fatima ArshadDepartment of Pathology, Dow International Medical College, Dow University of Health Sciences, Karachi 75300, Pakistan.
Nouman MughalDepartments of Biological and Biomedical Sciences, Aga Khan University, Karachi 74800, Pakistan.
Aga Khan University · PKDow University of Health Sciences · PKZiauddin University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-grade gliomas are extremely fatal tumors, marked by severe hypoxia and therapeutic resistance. Autophagy is a cellular degradative process that can be activated by hypoxia, ultimately resulting in tumor advancement and chemo-resistance. Our study aimed to examine the link between autophagy markers' expression in low-grade gliomas (LGGs) and high-grade gliomas (HGGs). In 39 glioma cases, we assessed the protein expression of autophagy markers LC3B,

Indexed as

Genes, RegulatorGliomaAutophagyBeclin-1HumansHypoxiaSequestosome-1 ProteinBeclin-1Sequestosome-1 ProteinSQSTM1 protein, humanautophagyautophagy-related genes (ATGs)DRAMhigh-grade gliomas (HGGs)LC3Blow-grade gliomas (LGGs)SQSTM1/p62

Identifiers

PMID38203743
PMCPMC10779014
OpenAlexW4390479317

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.