Evidence mapPaperPMID 40387186Full record

ReviewAnimal models and experimental medicine2025

Animal models of lung cancer: Phenotypic comparison of different animal models of lung cancer and their application in the study of mechanisms.

Zixuan Yang, Xianbin Zhao, Lili Tan, Pingxinyi Que, Tong Zhao, Wei Huang, Dejiao Yao, Songqi Tang

Abstract readReviewComparative Study
In one paragraph

Review in Animal models and experimental medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

8 authors.

Zixuan YangSchool of Traditional Chinese Medicine, Hainan Medical University, Haikou, China.ORCID 0009-0000-2307-3630
Xianbin ZhaoSchool of Traditional Chinese Medicine, Hainan Medical University, Haikou, China.
Lili TanSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Pingxinyi QueSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Tong ZhaoSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Wei HuangSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Dejiao YaoOncology Department II, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Songqi TangSchool of Traditional Chinese Medicine, Hainan Medical University, Haikou, China.

Funding

National Natural Science Foundation of China 82474436Sichuan Provincial Administration of Traditional Chinese Medicine 2023MS564
6 · The paper itself

Abstract

Lung cancer has one of the highest rates of incidence and mortality worldwide, making research on its mechanisms and treatments crucial. Animal models are essential in lung cancer research as they accurately replicate the biological characteristics and treatment outcomes seen in human diseases. Currently, various lung cancer models have been established, including chemical induction models, orthotopic transplantation models, ectopic transplantation models, metastasis models, and gene editing mouse models. Additionally, lung cancer grafts can be categorized into two types: tissue-based and cell-based grafts. This paper summarizes the phenotypes, advantages, and disadvantages of various induction methods based on their modeling techniques. The goal is to enhance the simulation of clinical lung cancer characteristics and to establish a solid foundation for future clinical research.

Indexed as

Disease Models, AnimalLung NeoplasmsAnimalsHumansMicePhenotypeanimal models of lung cancerchemical induction methodsgene editing mouse modelslung cancer graftstransplantation models

Identifiers

PMID40387186
PMCPMC12431601

What Socratic 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 Socratic graph.