Evidence map›Paper›PMID 41913930›Full record

ArticlePeerJ2026

Establishment and validation of an orthotopic brain metastasis tumor model in C57BL/6 mice.

Jiong Liu, Tonghao Lin, Juan Wang, Jiayun Hao, Wencheng Wu, Zhixin Zheng, Haibin Ou, Yu Liu

Abstract readValidation Study
In one paragraph

Article in PeerJ, 2026. 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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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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

8 authors.

Jiong Liu *Department of Esophagus, Mediastinum and Lymphatic Oncology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province, China.
Tonghao Lin *Department of Esophagus, Mediastinum and Lymphatic Oncology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province, China.
Juan WangDepartment of Esophagus, Mediastinum and Lymphatic Oncology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province, China.
Jiayun HaoDepartment of Esophagus, Mediastinum and Lymphatic Oncology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province, China.
Wencheng WuDepartment of Esophagus, Mediastinum and Lymphatic Oncology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province, China.
Zhixin ZhengDepartment of Esophagus, Mediastinum and Lymphatic Oncology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province, China.
Haibin OuDepartment of Esophagus, Mediastinum and Lymphatic Oncology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province, China.
Yu LiuDepartment of Esophagus, Mediastinum and Lymphatic Oncology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a key experimental method to study the pathogenesis of brain tumors, the establishment of standardized operation process for intracranial orthotopic tumor modeling is of great significance. At present, although this technology has become the main method for brain tumor research, it has been reported in the literature that there is significant heterogeneity in the injection sites, and there is a lack of systematic verification, which leads to the repeatability of the experiment being questioned. In view of this technical bottleneck, this study used female C57BL mice as a model to establish a standardized intracranial tumor formation operation system. By systematically analyzing the two anatomical markers of bregma and lambda in mice, we not only clarified the quantitative relationship between body weight and bregma-lambda distance in C57BL mice, but also defined the normal range of bregma-lambda distance. More importantly, we found and verified a new standardized injection site. Based on this finding, this study finally constructed a complete set of intracranial tumor formation technology scheme including positioning method, operation specification and quality control.

Indexed as

Brain NeoplasmsDisease Models, AnimalNeoplasm TransplantationAnimalsFemaleMiceMice, Inbred C57BLAnimal modelBrain metastasesBrain tumorC57BLIntracranial tumor formationLLCNeurosurgical techniquesStandardized procedureXenograft

Identifiers

PMID41913930
PMCPMC13033286

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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.