Evidence map›Paper›PMID 40514601›Full record

ArticleRadiological physics and technology2025

Human glioblastoma (U87) cells grown in 3D culture showed a radio-resistance to X-ray and proton radiation.

Dea A Kartini, Pharewa Karoon, Yuwadee Malad, Thititip Tippayamontri, Taweap Sanghangthum, Chutima Talabnin, Chinorat Kobdaj

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Article in Radiological physics and technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Dea A KartiniSchool of Physics, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
Pharewa KaroonSchool of Physics, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
Yuwadee MaladSchool of Physics, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
Thititip TippayamontriDepartment of Radiological Technology and Medical Physics, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.
Taweap SanghangthumDivision of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
Chutima TalabninSchool of Chemistry, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
Chinorat KobdajSchool of Physics, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand. kobdaj@g.sut.ac.th.

Funding

National Science, Research and Innovation Fund (NSRF) 195242
6 · The paper itself

Abstract

Glioblastoma multiforme is the most malignant brain tumor and is resistant to conventional radiotherapy. Proton radiotherapy utilizes accelerated proton beams to irradiate deep-seated tumors with minimum ionization in the entrance channel, thanks to its inverted dose profile. This work aims to investigate the response of human glioma (U87) cells cultured in a 3D culture after X-ray and proton irradiation. U87 cells have been cultured in 3D bio-phantom where cells were grown in Matrigel matrix inside a 96-well plate. The morphology of U87 cells in 3D culture has been observed for 48 h, and cells have grown in their natural shape. The response of cells in 3D bio-phantom was evaluated by exposing the cells to 6 MV X-ray and 70 MeV monoenergetic proton beams. Post-irradiation, the surviving cells were determined by a colony formation assay, and the survival curve of cells in 3D culture was compared with the cells grown in 2D monolayer culture. The response of cells in the 3D bio-phantom following X-ray and proton radiation demonstrated an increased survival fraction in the high-dose region than those in 2D monolayer. However, U87 cells showed more sensitivity towards proton irradiation compared to X-rays, regardless of the culture setup. Finally, we obtained the RBE

Indexed as

Cell Culture Techniques, Three DimensionalGlioblastomaProtonsRadiation ToleranceCell Line, TumorCell SurvivalDose-Response Relationship, RadiationHumansPhantoms, ImagingProton TherapyX-RaysProtons3D cell cultureGlioblastomaProton radiotherapySurvival curve

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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.