Evidence map›Paper›PMID 39733422›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2024

Quantification of the Most Effective X-Ray Dosage for Inhibiting Invasion of Glioma Cell Line.

Elham Ghasemi, Zeynab Zamanzade, Fatemeh Seif, Mahdieh Mondanizadeh

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2024. 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

4 authors.

Elham GhasemiStudent Research Committee, Arak University of Medical Sciences, Arak, Iran.
Zeynab ZamanzadeStudent Research Committee, Arak University of Medical Sciences, Arak, Iran.
Fatemeh SeifSchool of Allied Medical Sciences, Department of Radiotherapy, Arak University of Medical Sciences and Khansari Hospital, Arak, Iran.
Mahdieh MondanizadehDepartment of Biotechnology and Molecular Medicine, School of Medicine, Arak University of Medical Sciences, Arak, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne key feature that distinguishes cancerous cell populations from their normal counterparts is a heightened tendency towards uncontrolled growth and invasive activity. Therapeutic techniques like radiotherapy can impact the viability and invasive behavior of cancer cells by modifying the structure of DNA and inducing programmed cell death.

methodsThis research is an experimental study and involved a comprehensive investigation into the effects of 6MV X-ray radiotherapy on various absorbed doses (ranging from 4 to 10 Gy by steps 2Gy) on toxicity, migration, and colony formation in C6 glioblastoma cellular cultures.

resultsOur detailed analysis revealed that the cytotoxic responses increased in a dose-dependent manner, while there was a significant decrease in both the ability to migrate and form colonies in the C6 cell line.

conclusionsThis thorough examination provides new insights into the way malignant cell populations respond to ionizing radiation in a dose-dependent manner within a clinical setting. By directly impacting cellular functions and causing disturbances, this occurrence leads to a slowing down of disease progression.

Indexed as

Cell MovementCell ProliferationGliomaNeoplasm InvasivenessAnimalsApoptosisBrain NeoplasmsDose-Response Relationship, RadiationHumansRadiotherapy DosageRatsTumor Cells, CulturedX-RaysC6 cellsGliomaMTT assayX-ray radiotherapy

Identifiers

PMID39733422
PMCPMC12008342

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.