Evidence map›Paper›PMID 42004058›Full record

ArticleAmerican journal of cancer research2026

Carbon-ion beam irradiation combined with miR-17-5p/miR-17-3p inhibitors effectively kill osteosarcoma cells.

Eun Ho Kim, Won Seok Lee, Sei Sai

Abstract read
In one paragraph

Article in American journal of cancer research, 2026. 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

3 authors.

Eun Ho KimDepartment of Biochemistry, School of Medicine, Daegu Catholic University Nam-gu, Daegu 42472, South Korea.
Won Seok LeeDepartment of Biochemistry, School of Medicine, Daegu Catholic University Nam-gu, Daegu 42472, South Korea.
Sei SaiDepartment of Charged Particle Therapy Research, QST Hospital, National Institutes for Quantum Science and Technology Chiba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma (OS) is the most common type of bone cancer and is highly resistant to conventional photon beam radiotherapy; however, carbon-ion radiotherapy (CIRT) is effective in treating OS. In this study, to investigate whether miR-17-5p/miR-17-3p inhibitors act as radiosensitizers for CIRT, U2OS and MG63 OS cells were treated with carbon-ion beam irradiation (IR) alone, X-ray IR alone, or with one of the IR treatments in combination with miR-17-3p inhibitors. Cell death and invasive and migratory abilities were analyzed using cell viability and cell Transwell migration and invasion assays. Apoptosis and autophagy-related protein expression and DNA double-strand break (DSB) induction was determined using western blotting and immunofluorescence staining. We found that carbon-ion beam IR combined with miR-17-5p/miR-17-3p inhibitors significantly inhibited OS cell proliferation, migration, and invasion and markedly increased apoptosis-related cleaved-caspase 3, cleaved-PARP expression compared to carbon-ion beam IR and X-ray IR alone. Furthermore, carbon-ion beam IR combined with miR-17-5p/miR-17-3p inhibitors markedly promoted autophagy induction. In addition, combination treatment with miR-17-5p/miR-17-3p inhibitors and carbon-ion beam IR significantly increased the number of γH2AX foci as well as its phosphorylation. Taken together, miR-17-5p/miR-17-3p inhibitors enhanced the carbon-ion beam radiosensitivity of OS cells, presenting a novel strategy for the development of carbon-ion beam combination therapy.

Indexed as

Carbon-ion beammiR-17 inhibitorsosteosarcoma

Identifiers

PMID42004058
PMCPMC13090501

What OpenQuestion holds

Textmetadata
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.