Evidence map›Paper›PMID 38169621›Full record

ReviewInternational journal of biological sciences2024

Radiotherapy in Preclinical Models of Brain Metastases: A Review and Recommendations for Future Studies.

Wen Shi, Guilong Tanzhu, Liu Chen, Jiaoyang Ning, Hongji Wang, Gang Xiao, Haiqin Peng, Di Jing, Huadong Liang, Jing Nie and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in International journal of biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Microenvironmental remodeling in FLASH radiotherapy.Frontiers in cell and developmental biology · 2026
    Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. The Impact of Standardized Training Resident on Pain Management in Patients with Advanced Lung Cancer.Journal of cancer education : the official journal of the American Association for Cancer Education · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. 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

12 authors at 3 institutions in 2 countries.

Wen ShiDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China.
Guilong TanzhuDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China.
Liu ChenDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China.
Jiaoyang NingDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China.
Hongji WangDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China.
Gang XiaoDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China.
Haiqin PengDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China.
Di JingDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China.
Huadong LiangDepartment of Technology, Hunan SJA Laboratory Animal Co., Ltd., Changsha, Hunan Province, China.
Jing NieDepartment of Technology, Hunan SJA Laboratory Animal Co., Ltd., Changsha, Hunan Province, China.
Min YiDepartment of Technology, Hunan SJA Laboratory Animal Co., Ltd., Changsha, Hunan Province, China.
Rongrong ZhouDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China.
Central South University · CNDepartment of Science and Technology of Hunan Province · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain metastases (BMs) frequently occur in primary tumors such as lung cancer, breast cancer, and melanoma, and are associated with notably short natural survival. In addition to surgical interventions, chemotherapy, targeted therapy, and immunotherapy, radiotherapy (RT) is a crucial treatment for BM and encompasses whole-brain radiotherapy (WBRT) and stereotactic radiosurgery (SRS). Validating the efficacy and safety of treatment regimens through preclinical models is imperative for successful translation to clinical application. This not only advances fundamental research but also forms the theoretical foundation for clinical study. This review, grounded in animal models of brain metastases (AM-BM), explores the theoretical underpinnings and practical applications of radiotherapy in combination with chemotherapy, targeted therapy, immunotherapy, and emerging technologies such as nanomaterials and oxygen-containing microbubbles. Initially, we provided a concise overview of the establishment of AM-BMs. Subsequently, we summarize key RT parameters (RT mode, dose, fraction, dose rate) and their corresponding effects in AM-BMs. Finally, we present a comprehensive analysis of the current research status and future directions for combination therapy based on RT. In summary, there is presently no standardized regimen for AM-BM treatment involving RT. Further research is essential to deepen our understanding of the relationships between various parameters and their respective effects.

Indexed as

Brain NeoplasmsLung NeoplasmsMelanomaRadiosurgeryCranial IrradiationHumansRetrospective StudiesAnimal modelsBrain metastasisCombined modality therapyDose fractionation, RadiationRadiotherapy

Identifiers

PMID38169621
PMCPMC10758094
OpenAlexW4390484416

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.