Evidence map›Paper›PMID 40119343›Full record

ReviewMolecular cancer2025

3D tumor cultures for drug resistance and screening development in clinical applications.

Zheng Peng, Xiaolan Lv, Hao Sun, Lina Zhao, Shigao Huang

Abstract readReview
In one paragraph

Review in Molecular cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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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

5 authors.

Zheng Peng *Department of Clinical Laboratory, Liuzhou Traditional Chinese Medical Hospital, Liuzhou, Guangxi, China.
Xiaolan Lv *Department of Clinical Laboratory, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, Guangxi, China.
Hao Sun *Faculty of Science, Autonomous University of Madrid, Spainish National Research Council -Consejo Superior de Investigaciones Científicas,(UAM-CSIC), Madrid, 28049, Spain.
Lina ZhaoState Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China. zhaolina@fmmu.edu.cn.
Shigao HuangDepartment of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China. huangshigao2010@aliyun.com.

Funding

National Natural Science Foundation of China 82272941National Research founding of China 202108390033
6 · The paper itself

Abstract

Tumor drug resistance presents a growing challenge in medical practice, particularly during anti-cancer therapies, where the emergence of drug-resistant cancer cells significantly complicates clinical treatment. In recent years, three-dimensional (3D) tumor culture technology, which more effectively simulates the in vivo physiological environment, has gained increasing attention in tumor drug resistance research and clinical applications. By mimicking the in vivo cellular microenvironment, 3D tumor culture technology not only recapitulates cell-cell interactions but also more faithfully reproduces the biological effects of therapeutic agents. Consequently, 3D tumor culture technology is emerging as a crucial tool in biomedical and clinical research. We summarize the benefits of 3D culture models and organoid technology, explore their application in the realm of drug resistance, drug screening, and personalized therapy, and discuss their potential application prospects and challenges in clinical transformation, with the aim of providing insights for optimizing cancer treatment strategies and advancing precision therapy.

Indexed as

Antineoplastic AgentsCell Culture Techniques, Three DimensionalDrug Resistance, NeoplasmNeoplasmsAnimalsDrug Screening Assays, AntitumorHumansOrganoidsPrecision MedicineTumor MicroenvironmentAntineoplastic Agents3D tumor culture modelCancer resistanceDrug screeningOrganoidsTumor microenvironment

Identifiers

PMID40119343
PMCPMC11927140

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.