A Relevant Research on Constitutional Type of Traditional Chinese Medicine of Patients with Triple-negative Breast Cancer and TOP2A Gene Expression
10.3969/j.issn.1005-5304.2015.01.005
- VernacularTitle:三阴性乳腺癌患者中医体质类型分析及其与TOP2A基因表达的相关性
- Author:
Ling HUANG
;
Mei JIANG
;
Ningyuan LIU
;
Hui XU
;
Liyun YUE
;
Runze LI
- Publication Type:Journal Article
- Keywords:
triple-negative breast cancer;
TCM constitutional type;
TOP2A gene;
correlation
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2015;(1):14-17
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the correlation between TOP2A gene expression and TCM constitutional types of patients with triple-negative breast cancer.Methods The questionnaire for constitution of Chinese medicine was used to identify the TCM constitutional types of 71 patients with triple-negative breast cancer and TOP2A gene alterations were quantified by real-time PCR. 2-ΔΔCt was used to analyze the expressions of each group. SPSS17.0 was employed to analyze the correlation between TOP2A gene amplification and TCM constitutional types.Results Totally 71 patients were divided into general type (0 case), Qi deficiency type (18 cases), Yang deficiency type (10 cases), Yin deficiency type (12 cases), Qi stagnancy type (7 cases), blood stasis type (10 cases), phlegm wet calculus type (8 cases), damp-heat type (6 cases), and special type (0 case). All of them were biased constitutional types, of which Qi deficiency constitution (25.35%), Yin deficiency constitution (16.90%), blood stasis constitution (14.08%) took the majority. TOP2A gene amplification was negative correlated with each constitutional type (P<0.05).Conclusion Biased constitutional types were the main types of TCM constitutional type of patients with triple-negative breast cancer. The main three biased constitutional types of triple-negative breast cancer were Qi deficiency constitution, Yin deficiency constitution and blood stasis constitution. TOP2A gene expression in patients with triple-negative breast cancer was normal or less expressed, which predicted low chemotherapy sensitivity and poor prognosis.
