Evidence map›Paper›PMID 40387157›Full record

ReviewChinese medical journal2025

Patient-derived xenograft model: Applications and challenges in liver cancer.

Shuangshuang Dou, Yunfei Huo, Minghui Gao, Quanwei Li, Buxin Kou, Mengyin Chai, Xiaoni Liu

Abstract readReview
In one paragraph

Review in Chinese medical journal, 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. 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

7 authors.

Shuangshuang DouBeijing Institute of Hepatology, Beijing You'an Hospital, Capital Medical University, Beijing 100069, China.
Yunfei Huo
Minghui Gao
Quanwei Li
Buxin Kou
Mengyin Chai
Xiaoni Liu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractLiver cancer is one of the most common malignant tumors worldwide. Currently, the available treatment methods cannot fully control its recurrence and mortality rate. Establishing appropriate animal models for liver cancer is crucial for developing new treatment technologies and strategies. The patient-derived xenograft (PDX) model preserves the tumor's microenvironment and heterogeneity, which makes it advantageous for biological research, drug evaluation, personalized medicine, and other purposes. This article reviews the development, preparation techniques, application fields, and challenges of PDX models in liver cancer, providing insights for the research and exploration of PDX models in diagnostic and therapeutic strategies of liver cancer.

Indexed as

Liver NeoplasmsXenograft Model Antitumor AssaysAnimalsDisease Models, AnimalHumansMiceAnimal modelDrug evaluationLiver cancerPatient-derived xenograftPersonalized medicine

Identifiers

PMID40387157
PMCPMC12151030

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.