Evidence map›Paper›PMID 37157237›Full record

ReviewCNS neuroscience & therapeutics2023

Radiotherapy and radio-sensitization in H3

Chao Liu, Shuwen Kuang, Lei Wu, Quan Cheng, Xuan Gong, Jun Wu, Longbo Zhang

Open access · goldAbstract readReview
In one paragraph

Review in CNS neuroscience & therapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Current Perspectives on Radiosensitizers in Cancer Radiotherapy.International journal of nanomedicine · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Radiotherapy and radio-sensitization in H3CNS neuroscience & therapeutics · 2023
    Review
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

7 authors at 2 institutions in 2 countries.

Chao LiuDepartments of Oncology, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0002-3277-0750
Shuwen KuangDepartments of Oncology, Xiangya Hospital, Central South University, Changsha, China.
Lei WuDepartment of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Quan ChengDepartments of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0003-2401-5349
Xuan GongDepartments of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Jun WuDepartments of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Longbo ZhangNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
Central South University · CNNanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundH3

methodsWe summarized current understandings of the molecular responses of H3

resultsIonizing radiation (IR) can mainly inhibit tumor cell growth by inducing DNA damage regulated by the cell cycle checkpoints and DNA damage repair (DDR) system. In H3K27M DMGs, the aberrant genetic and epigenetic changes, stemness genotype, and epithelial-mesenchymal transition (EMT) disrupt the cell cycle checkpoints and DDR system by altering the associated regulatory signaling pathways, which leads to the development of radio-resistance.

conclusionsThe advances in mechanisms of radio-resistance in H3

Indexed as

Brain NeoplasmsGliomaChildHistonesHumansMutationHistonescell checkpointsDMGDNA damage and repairH3K27Mradio-sensitization

Identifiers

PMID37157237
PMCPMC10324372
OpenAlexW4375954611

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.