BACKGROUND: Traditional Chinese medicine (TCM) syndromes (ZHENG in Chinese) are the abstraction from the comprehensive analysis of clinical information gained by the four main diagnostic TCM methods: observation, listening, questioning, and pulse analyses. Proper TCM diagnosis is the most important principle to guide the prescribing of Chinese herbs. OBJECTIVE: To evaluate the specific effect of TCM ZHENG on tumor growth and to examine the molecular mechanisms underlying ZHENG and tumor growth. METHODS: The authors established subcutaneous tumor models of pancreatic cancer ZHENG syndromes of Damp heat (Shi-Re) and Spleen deficiency (Pi-Xu). Tissue samples of the subcutaneous transplanted tumors from each model were studied versus control tumors. CCR5 and CXCR4 proteins in these tissues were assayed by immunohistochemical staining. The expression of CCR5/CCL5/CCL4/CCL3 and CXCR4/SDF-1 mRNA was investigated by reverse transcriptase-polymerase chain reaction (RT-PCR). SDF-1, CCL4, CCL5, and CCL3, which are ligands of CXCR4 and CCR5, were examined by ELISA. RESULTS: The study found that tumor models with different ZHENG were successfully established in each group; the tumor growth of Shi-Re group was slower than that of the control group. It was found that there was a significant difference in CCR5 mRNA expression levels among the Pi-Xu, Shi-Re, and control groups. The results of immunohistochemistry staining revealed that the positive rate of CCR5 protein in Shi-Re group, Pi-Xu group, and control group was 25.00%, 53.33%, 83.33%, respectively. The Shi-Re group expressed the lowest levels of CCL5 and CCL4. CONCLUSION: The results of the study suggest that the existence of TCM ZHENG may influence the tumor growth in pancreatic cancer, which might be mediated by the expression of CCR5/CCL5/CCL4. This finding may lead to the development of TCM ZHENG as a prognostic indicator in pancreatic tumor growth.
BACKGROUND: Traditional Chinese medicine (TCM) syndromes (ZHENG in Chinese) are the abstraction from the comprehensive analysis of clinical information gained by the four main diagnostic TCM methods: observation, listening, questioning, and pulse analyses. Proper TCM diagnosis is the most important principle to guide the prescribing of Chinese herbs. OBJECTIVE: To evaluate the specific effect of TCM ZHENG on tumor growth and to examine the molecular mechanisms underlying ZHENG and tumor growth. METHODS: The authors established subcutaneous tumor models of pancreatic cancer ZHENG syndromes of Damp heat (Shi-Re) and Spleen deficiency (Pi-Xu). Tissue samples of the subcutaneous transplanted tumors from each model were studied versus control tumors. CCR5 and CXCR4 proteins in these tissues were assayed by immunohistochemical staining. The expression of CCR5/CCL5/CCL4/CCL3 and CXCR4/SDF-1 mRNA was investigated by reverse transcriptase-polymerase chain reaction (RT-PCR). SDF-1, CCL4, CCL5, and CCL3, which are ligands of CXCR4 and CCR5, were examined by ELISA. RESULTS: The study found that tumor models with different ZHENG were successfully established in each group; the tumor growth of Shi-Re group was slower than that of the control group. It was found that there was a significant difference in CCR5 mRNA expression levels among the Pi-Xu, Shi-Re, and control groups. The results of immunohistochemistry staining revealed that the positive rate of CCR5 protein in Shi-Re group, Pi-Xu group, and control group was 25.00%, 53.33%, 83.33%, respectively. The Shi-Re group expressed the lowest levels of CCL5 and CCL4. CONCLUSION: The results of the study suggest that the existence of TCM ZHENG may influence the tumor growth in pancreatic cancer, which might be mediated by the expression of CCR5/CCL5/CCL4. This finding may lead to the development of TCM ZHENG as a prognostic indicator in pancreatic tumor growth.
Authors: Zhen Chen; Lian-Yu Chen; Peng Wang; Hai-Yan Dai; Song Gao; Kun Wang Journal: Evid Based Complement Alternat Med Date: 2012-05-29 Impact factor: 2.629
Authors: Wei Xian Lin; Xin Du; Li Lin Yang; Si Yun Chen; Wei Yu Qiu; Hai Wang Wu; Guang Zhao; Yi Hui Feng; Qing Ying Yu; He Tian; Song Ping Luo; Jie Gao Journal: Evid Based Complement Alternat Med Date: 2019-10-24 Impact factor: 2.629
Authors: Lan Li; Guang Wu; Bo Young Choi; Bong Geom Jang; Jin Hee Kim; Gi Ho Sung; Jae Youl Cho; Sang Won Suh; Hyoung Jin Park Journal: Biomed Res Int Date: 2014-01-27 Impact factor: 3.411
Authors: Jia Du; Yang Sun; Xiu-Feng Wang; Yi-Yu Lu; Qian-Mei Zhou; Shi-Bing Su Journal: Evid Based Complement Alternat Med Date: 2013-11-24 Impact factor: 2.629