Evidence map›Paper›PMID 39668120›Full record

ArticleCancer science2025

Establishment of cancer cell radiosensitivity database linked to multi-layer omics data.

Takahiro Oike, Ryosuke Kambe, Narisa Dewi Maulany Darwis, Atsushi Shibata, Tatsuya Ohno

Abstract read
In one paragraph

Article in Cancer science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Takahiro OikeGunma University Heavy Ion Medical Center, Maebashi, Gunma, Japan.ORCID https://orcid.org/0000-0003-1332-4306
Ryosuke KambeDepartment of Radiation Oncology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Narisa Dewi Maulany DarwisDepartment of Radiation Oncology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Atsushi ShibataDivision of Molecular Oncological Pharmacy, Graduate School of Pharmaceutical Sciences, Keio University, Tokyo, Japan.ORCID https://orcid.org/0000-0001-8912-6977
Tatsuya OhnoGunma University Heavy Ion Medical Center, Maebashi, Gunma, Japan.

Funding

Gunma University Heavy Ion Medical Center N/AJSPS KAKENHI 22K07659
6 · The paper itself

Abstract

Personalized radiotherapy based on the intrinsic sensitivity of individual tumors is anticipated, however, it has yet to be realized. To explore cancer radiosensitivity, analysis in combination with omics data is important. The Cancer Cell Line Encyclopedia (CCLE) provides multi-layer omics data for hundreds of cancer cell lines. However, the radiosensitivity counterpart is lacking. To address this issue, we aimed to establish a database of radiosensitivity, as assessed by the gold standard clonogenic assays, for the CCLE cell lines by collecting data from the literature. A deep learning-based screen of 33,284 papers identified 926 relevant studies, from which SF

Indexed as

Databases, FactualNeoplasmsRadiation ToleranceCell Line, TumorHumansCancer Cell Line EncyclopediaCCLEdatabaseomicsradiosensitivity

Identifiers

PMID39668120
PMCPMC11875790

What OpenQuestion holds

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Registered trials

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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.