Articles Vol. 67 No. CĐ3-NCKH 02/04/2026

INVESTIGATING THE ASSOCIATION BETWEEN TRADITIONAL CHINESE MEDICINE SYNDROMES AND DISEASE STAGES IN LUNG CANCER PATIENTS AT HO CHI MINH CITY ONCOLOGY HOSPITAL

Truong Cong Hau1,2, Tran Thu Nga1,2, Nguyen Thi Thu Song1,2, Nguyen Cong Nguyen1,2
1 University of Medicine and Pharmacy at Ho Chi Minh City
2 Đại học Y Dược Thành phố Hồ Chí Minh
DOI: 10.52163/yhc.v67iCD3.4768
22 Views
0 Downloads
Keywords
Lung cancer, TCM syndromes, TNM staging.
Abstract

Objective: To investigate the prevalence of Traditional Chinese Medicine (TCM) syndromes and their association with TNM stages in lung cancer patients at Ho Chi Minh City Oncology Hospital.

Methods: A cross-sectional study was conducted on 392 patients (Dec 2024 – May 2025).  TNM stages and TCM syndromes were collected via direct interviews using a standardized questionnaire based on the 2023 CACM guidelines and expert consensus, and medical records. Data were analyzed using multivariate logistic regression, controlling for age, sex, BMI, and smoking history.

Results: Qi deficiency (51.3%), Yin deficiency (35.5%), and Phlegm-dampness (27.0%). Multivariate analysis revealed no significant association between these three syndromes and TNM stages (p > 0.05). Notably, a history of smoking was identified as an independent risk factor, increasing the odds of Blood stasis by 1.84 times (aOR = 1.84, 95% CI: 1.04 – 3.31, p = 0.039).

Conclusion: Qi deficiency, Yin deficiency, and Phlegm-dampness serve as foundational syndromes present throughout the disease process, independent of TNM staging. Smoking is a significant independent factor associated with Blood stasis.

References
[1]
Tran HTT, Nguyen S, Nguyen KK, Pham DX, Nguyen UH, Le AT, et al. Lung Cancer in Vietnam. J Thorac Oncol. 2021;16(9):1443-8. doi: 10.1016/j.jtho.2021.06.002. Google Scholar
[2]
Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024;74(3):229-63. Epub 20240404. doi: 10.3322/caac.21834. Google Scholar
[3]
Ji Q, Luo YQ, Wang WH, Liu X, Li Q, Su SB. Research advances in traditional Chinese medicine syndromes in cancer patients. J Integr Med. 2016;14(1):12-21. doi: 10.1016/s2095-4964(16)60237-6. Google Scholar
[4]
肺癌中西医结合诊疗指南 中国中西医结合学会. 2023. Google Scholar
[5]
陈娟, 李崇慧. 基于“益气养阴“法论治肺癌. 中医药临床杂志. 2025;37(03):467-70. doi: 10.16448/j.cjtcm.2025.0317. Google Scholar
[6]
孙哲拯, 张若琪, 张铮, 缪锐, 李凤杰, 王宝泉, et al. 采用证候分层诊断法分析原发性肺癌患者证候分布规律. 中医学报. 2023;38(07):1550-4. Google Scholar
[7]
王保芹. 200例原发性支气管肺癌患者中医辨证分型与国际TNM分期及肿瘤标志物相关性研究 [硕士]: 安徽中医药大学; 2017. Google Scholar
[8]
高梦. An Analysis of Treatment Strategies for Chronic Obstructive Pulmonary Disease Based on the Concept of “Yang Transforming Qi, Yin Shaping Form”. Advances in Clinical Medicine. 2025. doi: 10.12677/acm.2025.15113151. Google Scholar
[9]
Kong F, Wang C, Zhao L, Liao D, Wang X, Sun B, et al. Traditional Chinese medicines for non-small cell lung cancer: Therapies and mechanisms. Chin Herb Med. 2023;15(4):509-15. Epub 20230921. doi: 10.1016/j.chmed.2023.05.004. PubMed PMID: 38094015; PubMed Central PMCID: PMCPMC10715886. doi: 10.1016/j.chmed.2023.05.004. Google Scholar