دورية أكاديمية

[Study on the relationship between vascular endothelial growth factor and syndrome type of traditional Chinese medicine in patients with gastric carcinoma].

التفاصيل البيبلوغرافية
العنوان: [Study on the relationship between vascular endothelial growth factor and syndrome type of traditional Chinese medicine in patients with gastric carcinoma].
المؤلفون: Chen W; The Second Affiliated Hospital of Fujian Medical University, Quanzhou Fujian. amo1996@163.com, Ouyang XN, Lin QC
المصدر: Zhongguo Zhong xi yi jie he za zhi Zhongguo Zhongxiyi jiehe zazhi = Chinese journal of integrated traditional and Western medicine [Zhongguo Zhong Xi Yi Jie He Za Zhi] 2007 Feb; Vol. 27 (2), pp. 127-30.
نوع المنشور: English Abstract; Journal Article
اللغة: Chinese
بيانات الدورية: Publisher: Gai yan jiu yuan Country of Publication: China NLM ID: 9211576 Publication Model: Print Cited Medium: Print ISSN: 1003-5370 (Print) Linking ISSN: 10035370 NLM ISO Abbreviation: Zhongguo Zhong Xi Yi Jie He Za Zhi Subsets: MEDLINE
أسماء مطبوعة: Publication: Beijing : Gai yan jiu yuan
Original Publication: Beijing : Gai yan jiu yuan, 1992-
مواضيع طبية MeSH: Medicine, Chinese Traditional*, Stomach Neoplasms/*metabolism , Vascular Endothelial Growth Factor A/*biosynthesis, Adult ; Aged ; Biomarkers, Tumor/biosynthesis ; Diagnosis, Differential ; Female ; Humans ; Immunohistochemistry ; Male ; Middle Aged ; Prognosis ; Stomach Neoplasms/diagnosis ; Syndrome
مستخلص: Objective: By detecting the expression of vascular endothelial growth factor (VEGF) in different syndrome types of traditional Chinese medicine (TCM) in patients with gastric carcinoma (GC) to investigate the correlation of VEGF and TCM syndrome type for exploring the internal relationship between disease and syndrome.
Methods: The correlated clinical manifestations were recorded in detail and patient's syndrome type was differentiated at beside before operation. After operation, pathological examination on the resected specimen was performed routinely. The expression of VEGF in 104 GC patients of three different syndrome types, i.e. Pi-Wei asthenia type (type 1), Gan-Wei disharmony type (type 2) and phlegm-stasis-poisons stagnant type (type 3)and in 30 patients with superficial gastritis (for control) were determined by immunohistochemical method. The expressions of VEGF in different syndrome types were analyzed by combining with correlated clinical pathological characteristics.
Results: (1) The VEGF protein positive expression rate in GC patients was 81.7% (85/104), it was significantly higher than that in the control group with positive rate being zero (P < 0.01). (2) The intensity of VEGF expression was positively correlated with the depth of tumor infiltration, the extent of lymph node metastasis and the pathological staging of cancer (P < 0.01), and showed no evident correlation with the size of tumor and its degree of cell differentiation (P > 0.05). (3) Levels of VEGF expression in various syndrome types were significantly different (P < 0.01), the highest expression showed in the type 3, the second in the type 2, and the lowest in the type 1, comparison between them all showed significant difference (P < 0.01 for 3 vs 1, P < 0.05 for 3 vs 2 and 2 vs 1).
Conclusion: (1) VEGF could be taken as an index for evaluating the infiltration, metastasis and prognosis of GC. (2) The different expressions of VEGF play different roles in the GC metastatic process of patients of different syndrome types, and the pathogenesis of GC metastasis may be probably various in different syndrome types. VEGF is the relevant gene of GC of type 2 and type 3. (3) High VEGF expression shows positive correlation with the GC metastasis of type 2 and 3, suggesting that the higher the intensity of evil excess, the more possibilities of tumor infiltration and metastasis and the worse the prognoses will be.
المشرفين على المادة: 0 (Biomarkers, Tumor)
0 (Vascular Endothelial Growth Factor A)
تواريخ الأحداث: Date Created: 20070309 Date Completed: 20080424 Latest Revision: 20161018
رمز التحديث: 20231215
PMID: 17342999
قاعدة البيانات: MEDLINE