Research Article

Distribution of Traditional Chinese Medicine Pattern Elements in Patients with Gastric Cancer: A Cross-Sectional Study

DOI:

10.3791/69576

December 5th, 2025

In This Article

Summary

Loading...
$$\rightleftharpoonup{xx}$$ $$\longleftharp{xx}$$, $$\longrightharp{xx}$$,

This study establishes a reproducible protocol for identifying and quantifying Traditional Chinese Medicine (TCM) syndrome elements in patients with gastric cancer, enabling systematic analysis through cluster, correlation, and principal component analysis methods.

Abstract

Loading...
$$\rightleftharpoonup{xx}$$ $$\longleftharp{xx}$$, $$\longrightharp{xx}$$,

Gastric cancer remains a major cause of morbidity and mortality worldwide, with a particularly high burden in China. Traditional Chinese Medicine (TCM) emphasizes holistic regulation and syndrome differentiation, yet reproducible methods for quantifying syndrome elements in gastric cancer are limited. We conducted a cross-sectional study of 60 patients at Wuxi Second Traditional Chinese Medicine Hospital (December 2022-March 2024) and present a standardized, reproducible protocol for syndrome-element evaluation. Demographics, medical history, and TCM diagnostic information were captured with a standardized case-report form; syndrome elements were identified using a weighted scoring system with dual-expert adjudication. Analysis followed a prespecified multivariate pipeline-two-stage H-K clustering (hierarchical Ward.D2 to suggest k followed by k-means refinement), correlation-network mapping, and principal component analysis. The most frequent elements were qi stagnation, qi deficiency, blood stasis, spleen deficiency, and dampness; strong associations were observed between qi stagnation and blood stasis and between qi deficiency and blood stasis, with additional links involving dampness/phlegm. Principal component analysis indicated that a small set of elements accounted for the largest share of between-patient variation, supporting clinically meaningful stratification. This protocol operationalizes TCM syndrome-element assessment into measurable steps with shareable forms and code, enhancing objectivity and reproducibility and providing a methodological basis for clinical decision-making and multicenter validation. The framework is adaptable to other malignancies, facilitating broader integration of TCM within evidence-based oncology.

Introduction

Loading...
$$\rightleftharpoonup{xx}$$ $$\longleftharp{xx}$$, $$\longrightharp{xx}$$,

Gastric cancer remains one of the most prevalent and lethal malignancies worldwide, with China bearing a disproportionately high incidence and mortality burden1,2. Despite advances in surgical resection, chemotherapy, and targeted therapies, the overall prognosis remains unsatisfactory, underscoring the need for complementary approaches that address both disease biology and patient quality of life3. Traditional Chinese Medicine (TCM), emphasizing holistic regulation and syndrome differentiation, is widely used in oncology; however, the lack of standardized, replicable methods for syndro....

Access restricted. Please log in or start a trial to view this content.

Protocol

Loading...
$$\rightleftharpoonup{xx}$$ $$\longleftharp{xx}$$, $$\longrightharp{xx}$$,

Ethics and Oversight

This study was approved by the Ethics Committee of Wuxi Second Traditional Chinese Medicine Hospital (20220904). All participants provided written informed consent in accordance with the Declaration of Helsinki; procedures were consistent with ICH-GCP principles. Any identifiable media used for demonstration was separately consented. To reduce assessment bias, physicians who evaluated TCM syndrome elements were blinded to the American Joint Committee on Cancer (AJCC) stage and treatment status throughout scoring and adjudication; blinding was maintained by a data steward who removed those fields from as....

Access restricted. Please log in or start a trial to view this content.

Results

Loading...
$$\rightleftharpoonup{xx}$$ $$\longleftharp{xx}$$, $$\longrightharp{xx}$$,

Participant characteristics

Sixty patients with gastric cancer were enrolled between December 2022 and March 2024. Age distribution was: 41-50 years, 9/60 (15.0%); 51-60 years, 18/60 (30.0%); 61-70 years, 15/60 (25.0%); 71-80 years, 13/60 (21.7%); and 81-90 years, 5/60 (8.3%). Overall sex distribution was male 37/60 (61.7%) and female 23/60 (38.3%). Counts by sex within each age band are reported in Tabl.......

Access restricted. Please log in or start a trial to view this content.

Discussion

Loading...
$$\rightleftharpoonup{xx}$$ $$\longleftharp{xx}$$, $$\longrightharp{xx}$$,

This study developed and applied a standardized, protocol-centric workflow to identify and quantify TCM syndrome elements in gastric cancer. By combining a weighted scoring system, dual-expert adjudication, and a prespecified multivariate pipeline-two-stage H-K clustering, correlation network analysis, and principal component analysis-the method consistently highlighted qi stagnation, qi deficiency, blood stasis, and dampness as the most frequent and clinically relevant elements in this cohort, in line with prior observa.......

Access restricted. Please log in or start a trial to view this content.

Disclosures

Loading...
$$\rightleftharpoonup{xx}$$ $$\longleftharp{xx}$$, $$\longrightharp{xx}$$,

The authors used an AI-assisted writing tool (ChatGPT, OpenAI) only for language polishing and reference formatting after the scientific content had been drafted by the authors. No study design, data collection, data analysis, figure generation, or scientific interpretation was performed by the tool. No identifiable or sensitive data were entered into the tool. All outputs were independently reviewed and revised by the authors, who take full responsibility for the integrity and accuracy of the manuscript.

Acknowledgements

Loading...
$$\rightleftharpoonup{xx}$$ $$\longleftharp{xx}$$, $$\longrightharp{xx}$$,

The authors thank the staff of Wuxi Second Traditional Chinese Medicine Hospital for their support in patient recruitment and data collection. This work was supported by the Jiangsu Province Wuxi City Traditional Chinese Medicine Administration Bureau, 2022 Annual Science and Technology Project (Project Number: ZYYB23).

....

Access restricted. Please log in or start a trial to view this content.

Materials

List of materials used in this article
NameCompanyCatalog NumberComments
Case Report Form (CRF)Wuxi Second TCM HospitalCRF-001Standardized form for collecting patient data
cluster R PackageCRANR-cluster-008R package for clustering and silhouette analysis
Examination Light (5,000–6,500 K)PhilipsEX-LIGHT-003Light used for TCM examination
igraph R PackageCRANR-igraph-007R package for network visualization
Pulse Measuring DeviceOmronPMD-005Device for measuring pulse during TCM evaluation
R SoftwareThe R ProjectR-001Open-source software for statistical analysis
stats R PackageCRANR-Stats-006R package for statistical analysis (prcomp, hclust, kmeans)
Syndrome Element ScaleWuxi Second TCM HospitalSE-Scale-002Scoring tool for evaluating syndrome elements
Tongue Imaging DeviceCanonTI-IMG-004Device used to capture tongue images

References

Loading...
$$\rightleftharpoonup{xx}$$ $$\longleftharp{xx}$$, $$\longrightharp{xx}$$,
  1. Chao, H., Yusen, Z., Die, Y., Yifei, L., Xiaochun, Z., Yanqing, L. Effects of traditional Chinese medicine on the survival of patients with stage I gastric cancer and high-risk factors: a real-world retrospective study. J Tradit Chin Med. 43 (3), 568-573 (2023).
  2. Chen, B., et al.

Access restricted. Please log in or start a trial to view this content.

Reprints and Permissions

Request permission to reuse the text or figures of this JoVE article

Request Permission

Tags

Syndrome DifferentiationTCM Pattern ElementsQi StagnationBlood StasisSpleen DeficiencyPrincipal Component AnalysisHierarchical Clustering

Related Articles