Evidence map›Paper›PMID 42527723›Full record

ReviewCurrent oncology reports2026

The Application and Advancement of Herbal Medicine in Gastrointestinal Cancers: A Bibliometrix Visualization and Pan-cancer Analysis.

Lingyun Zhao, Heng Wang, Yuchen Jiang, Ziming Zhao, Qiuyu Liang, Yu Li, Jue Wang, Wenwei Zhong, Yuan Xu, Xiaotian Zeng and 4 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

14 authors.

Lingyun Zhao *Faculty of Chinese Medicine, and State Key Laboratory of Mechanism and Quality of Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China.
Heng Wang *Centre for Transplant and Renal Research, Westmead Institute for Medical Research, The University of Sydney, Sydney, NSW, 2145, Australia.
Yuchen Jiang *Faculty of Chinese Medicine, and State Key Laboratory of Mechanism and Quality of Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China.
Ziming ZhaoFaculty of Chinese Medicine, and State Key Laboratory of Mechanism and Quality of Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China.
Qiuyu LiangFaculty of Chinese Medicine, and State Key Laboratory of Mechanism and Quality of Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China.
Yu LiFaculty of Chinese Medicine, and State Key Laboratory of Mechanism and Quality of Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China.
Jue WangFaculty of Chinese Medicine, and State Key Laboratory of Mechanism and Quality of Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China.
Wenwei ZhongFaculty of Chinese Medicine, and State Key Laboratory of Mechanism and Quality of Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China.
Yuan XuFaculty of Chinese Medicine, and State Key Laboratory of Mechanism and Quality of Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China.
Xiaotian ZengFaculty of Chinese Medicine, and State Key Laboratory of Mechanism and Quality of Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China.
Taorui LiuFaculty of Chinese Medicine, and State Key Laboratory of Mechanism and Quality of Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China.
Yuqin YangInstitute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China. yangyq5@163.com.
Qibiao WuFaculty of Chinese Medicine, and State Key Laboratory of Mechanism and Quality of Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China. qbwu@must.edu.mo.
Keyang XuFaculty of Chinese Medicine, and State Key Laboratory of Mechanism and Quality of Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China. kyxu@must.edu.mo.ORCID 0000-0002-7049-2528

Funding

Faculty Research Grant of the Macau University of Science and Technology No.FRG-25-078-FCNational Natural Science Foundation of China No. 82204600the Chinese Medicine Guangdong Laboratory HQCML-C-2024006the Fundamental Research Funds for the Central Public Welfare Research Institutes No. YZX-202401, ZZ17-YQ-032, CYZ-202512the National Natural Science Foundation for Youth of China No.82503193the Science and Technology Development Fund, Macau SAR 0023/2024/ITP1the Science and Technology Development Fund, Macau SAR 0098/2021/A2 and 0048/2023/AFJthe Science and Technology Development Fund, Macau SAR 0107/2025/ITP2
6 · The paper itself

Abstract

introductionHerbal medicine has emerged as an important area of investigation in gastrointestinal cancers owing to its multitarget therapeutic potential and growing integration with modern oncology. However, the rapid expansion of the literature has resulted in a fragmented understanding of the field's knowledge structure, research evolution, and emerging directions.

methodsA bibliometric analysis was performed using publications retrieved from the Web of Science Core Collection between 2016 and 2025. Bibliometrix, VOSviewer, and CiteSpace were employed to evaluate publication trends, collaboration networks, thematic evolution, and knowledge foundations. To further assess the biological relevance of major research themes, representative molecular markers associated with apoptosis, cell-cycle regulation, and epithelial biology were examined using transcriptomic data integrated from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) project through the Gene Expression Profiling Interactive Analysis (GEPIA) platform.

resultsA total of 1,985 publications were included. Research activity increased substantially over the study period, particularly after 2020. Bibliometric analyses revealed a progressive transition from traditional investigations of apoptosis, proliferation, and metastasis toward emerging themes involving tumor microenvironment regulation, ferroptosis, gut microbiota interactions, network pharmacology, and molecular docking. Knowledge structure analyses demonstrated increasing integration of experimental oncology, bioinformatics, and traditional Chinese medicine research. China dominated global publication output, while the United States exhibited the strongest international collaborative profile. Exploratory transcriptomic validation showed that representative molecular markers (BCL2, CCND1, and CDH1) exhibited differential expression patterns across multiple gastrointestinal malignancies, supporting the biological relevance of the dominant research themes identified through bibliometric analyses.

conclusionResearch on herbal medicine for gastrointestinal cancers is transitioning from descriptive pharmacological investigations toward mechanism-oriented, data-driven, and translational research. By integrating bibliometric visualization with exploratory pan-gastrointestinal-cancer transcriptomic validation, this study provides a comprehensive overview of the field's evolution and offers a complementary framework linking knowledge mapping with molecular-level evidence. These findings provide biological context for emerging research priorities and may facilitate future biomarker discovery and precision-oriented herbal medicine research for gastrointestinal cancers.

Indexed as

Gastrointestinal NeoplasmsHerbal MedicineBibliometricsHumansBibliometric analysisGastrointestinal cancersHerbal medicineNetwork pharmacologyPan-cancer analysisPrecision oncology

Identifiers

What OpenQuestion holds

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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.