Evidence map›Paper›PMID 37865877›Full record

ArticleCell journal2023

Role of The circ-HIPK3, circ-PVT1, miR-25, and miR-149 in Response of Breast Cancer Cells to Ionizing Radiation.

Elahe Abdollahi, Hossein Mozdarani

Abstract read
In one paragraph

Article in Cell journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  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

2 authors.

Elahe AbdollahiDepartment of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.ORCID 0000-0001-8956-191X
Hossein MozdaraniDepartment of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran. Email: mozdarah@modares.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDetermining cellular radiosensitivity of breast cancer (BC) patients through molecular markers before radiation therapy (RT) allows accurate prediction of individual's response to radiation. The aim of this study was therefore to investigate the potential role of epigenetic biomarkers in breast cancer cellular radiosensitivity. MATERIALS AND

methodsIn this experimental study, we treated two BC cell lines, MDA-MB 231 and MCF-7, with doses of 2, 4, and 8Gy of irradiation for 24 and 48 hours. Expression levels of circ-HIPK3, circ-PVT1, miR-25, and miR- 149 were quantified using quantitative reverse-transcription polymerase chain reaction (qRT-PCR). Significance of the observations was statistically verified using one-way ANOVA with a significance level of P<0.05. Annexin V-FITC/PI binding assay was utilized to measure cellular apoptosis.

resultsThe rate of cell apoptosis was significantly higher in MCF-7 cells compared to MDA-MB-231 cells at doses of 4Gy and 8Gy (P=0.013 and P=0.004, respectively). RNA expression analysis showed that circ-HIPK3 was increased in the MDA-MB-231 cell line compared to the MCF-7 cell line after exposure to 8Gy for 48 hours. Expression of circ-PVT1 was found to be higher in MDA-MB-231 cells compared to MCF-7 cells after exposure to 8Gy for 24 hours, likewise after exposure to 4Gy and 8Gy for 48 hours. After exposing 8Gy, expression of miR-25 was increased in MDA-MB-231 cells compared to MCF-7 cells at 24 and 48 hours. After exposing 8Gy dose, expression of miR-149 was increased in MCF-7 cells compared to MDA-MB-231 cells at 24 and 48 hours.

conclusioncirc-HIPK3, circ-PVT1, and miR-25 played crucial roles in the mechanisms of radioresistance in breast cancer. Additionally, miR-149 was involved in regulating cellular radiosensitivity. Therefore, these factors provided predictive information about a tumor's radiosensitivity or its response to treatment, which could be valuable in personalizing radiation dosage.

Indexed as

Breast cancerIonizing RadiationmiR-149miR-25

Identifiers

PMID37865877
PMCPMC10591259

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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.