Evidence map›Paper›PMID 35525840›Full record

ArticleScientific reports2022

Association between microRNAs 10b/21/34a and acute toxicity in glioblastoma patients treated with radiotherapy and temozolomide.

Aleksandar Stepanović, Marina Nikitović, Tatjana P Stanojković, Danica Grujičić, Zoran Bukumirić, Ivana Srbljak, Rosanda Ilić, Snežana Milošević, Tatjana Arsenijević, Nina Petrović

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 14 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

10 authors at 3 institutions in 1 country.

Aleksandar StepanovićDepartment of Radiation Oncology, Institute for Oncology and Radiology of Serbia, Belgrade, Serbia.
Marina NikitovićDepartment of Radiation Oncology, Institute for Oncology and Radiology of Serbia, Belgrade, Serbia. marina.nikitovic@ncrc.ac.rs.ORCID 0000-0001-7272-9587
Tatjana P StanojkovićDepartment of Experimental Oncology, Institute for Oncology and Radiology of Serbia, Belgrade, Serbia.
Danica GrujičićFaculty of Medicine, University of Belgrade, Belgrade, Serbia.
Zoran BukumirićInstitute for Medical Statistics and Informatics, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
Ivana SrbljakDepartment of Experimental Oncology, Institute for Oncology and Radiology of Serbia, Belgrade, Serbia.
Rosanda IlićFaculty of Medicine, University of Belgrade, Belgrade, Serbia.
Snežana MiloševićClinic of Neurosurgery, Neuro-Oncology Department, University Clinical Center of Serbia, Belgrade, Serbia.
Tatjana ArsenijevićDepartment of Radiation Oncology, Institute for Oncology and Radiology of Serbia, Belgrade, Serbia.
Nina PetrovićDepartment of Experimental Oncology, Institute for Oncology and Radiology of Serbia, Belgrade, Serbia.
University of Belgrade · RSOncology Institute of Vojvodina · RSCentar za Promociju Nauke · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A personalized approach to chemoradiation is important in reducing its potential side effects and identifying a group of patients prone to toxicity. MicroRNAs have been shown to have a predictive potential for radiotoxicity. The goal of the study was to test if levels of miRNA in peripheral blood mononuclear cells of glioblastoma patients are associated with toxicity and to identify the peak time point for toxicity. MicroRNA-10b/21/34a levels were measured in 43 patients with and without toxicity, at baseline, at the 15th, and at the 30th fraction by Real-Time quantitative Polymerase Chain Reaction. MicroRNA-10b/21 levels increased with toxicity grade (p = 0.014; p = 0.013); miR-21/34a levels were significantly different between patients with and without toxicity at the 15th fraction (p = 0.030; p = 0.045), while miR-34a levels significantly changed during treatment (p < 0.001). All three miRNAs showed a significantly high positive correlation with one another. MiR-34a might be considered as a predictive factor for toxicity due to its changes during treatment, and differences between the groups with and without toxicity; miR-10b might be used to predict toxicity; miR-10b/21 might be used for predicting the grade of toxicity in GB patients.

Indexed as

GlioblastomaMicroRNAsTemozolomideHumansLeukocytes, MononuclearReal-Time Polymerase Chain ReactionMicroRNAsMIRN10 microRNA, humanMIRN21 microRNA, humanMIRN34 microRNA, humanTemozolomide

Identifiers

PMID35525840
PMCPMC9079078
OpenAlexW4229007010

What OpenQuestion holds

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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.