Literature DB >> 28203260

Yin-Cold or Yang-Heat Syndrome Type of Traditional Chinese Medicine Was Associated with the Epidermal Growth Factor Receptor Gene Status in Non-Small Cell Lung Cancer Patients: Confirmation of a TCM Concept.

Yan-Juan Zhu1, Hai-Bo Zhang1, Li-Rong Liu1, Yi-Hong Liu1, Fu-Li Zhang1, Jian-Ping Bai1, Yong Li1, Yan-Chun Qu1, Xin Qu1, Xian Chen1, Yan Li1, Shu-Yi Luo2, Ai-Hua Ou3.   

Abstract

Traditional Chinese Medicine (TCM) therapies should be tailored according to the different syndrome types. In order to identify the relationship between the TCM Yin-cold (YC) or Yang-heat (YH) syndrome types and the EGFR gene status, we prospectively studied 310 NSCLC patients. TCM YH or YC was diagnosed by three TCM experts. TCM symptoms and signs were entered into a binary cluster analysis. The relationships between the EGFR gene status, YH or YC syndrome types, and classification by cluster analysis were analyzed using the chi-square test and multivariate logistic regression. In the 299 patients who had their EGFR gene tested, 45.24% YC (76/168) and 25.95% YH (34/131) patients had EGFR mutations (p = 0.001). Among the 292 patients entered into the cluster analysis, 132 were classified into group A, with signs and symptoms similar to YC, whereas 160 group B patients were similar to YH. In the 281 patients with EGFR tested, 45.67% group A (58/127) and 28.57% group B patients (44/154) had EGFR mutations (p = 0.003). The EGFR status was independently correlated with TCM syndrome type and classification by cluster analysis on multivariate logistic regression. NSCLC patients with YC were more likely to have EGFR gene mutations.

Entities:  

Year:  2017        PMID: 28203260      PMCID: PMC5292165          DOI: 10.1155/2017/7063859

Source DB:  PubMed          Journal:  Evid Based Complement Alternat Med        ISSN: 1741-427X            Impact factor:   2.629


1. Introduction

Lung cancer is a leading cause of cancer mortality worldwide, more than 85% of which is non-small cell lung cancer (NSCLC) [1]. For the intermediate to advanced stage NSCLC patients with sensitive epidermal growth factor receptor (EGFR) gene mutation, EGFR tyrosine kinase inhibitor (EGFR-TKI) is the preferred strategy. However, even for the exclusively EGFR-mutant advanced NSCLC patients, the median progression-free survival (PFS) was only 9–13 months for those who accepted first-line EGFR-TKI therapy [2-5]. Traditional Chinese Medicine (TCM) has been widely used in at least 78 countries [6], especially in China. Many clinical trials have evaluated the efficacy of TCM therapies in combination with EGFR-TKIs [7-11]. However, most of them focused only on one special decoction or TCM patent prescription, without a universally accepted TCM syndrome type differentiation system. Even the TCM treatment principles in these studies were different. In the TCM theory, doctors should first differentiate the TCM syndrome types of the patients before deciding the therapy principles and medicine. Thus, we should first find out the distribution of the TCM syndrome types for the NSCLC patients before evaluating the efficacy of TCM therapies. However, the syndrome types in the TCM theory are too complicated. We need to differentiate not only the Yin and Yang, cold and heat, but also the Interior and Exterior, Deficiency and Excess, diseases in six meridians and twelve zang-fu organs, and sometimes diseases of qi, blood, and body liquids. This makes it hard to combine TCM with modern evidence based medicine (EBM). In the famous TCM book entitled Huangdi Neijing, it is suggested that we should first differentiate the Yin-cold (YC) or Yang-heat (YH) type of the diseases. Some experts also believe that knowing the YC or YH types can guide the outline of TCM differentiation of the diseases [12]. Patients with YC syndrome type are more likely to have intolerance to cold, cough with thin or white sputum, anorexia, paler complexion, loose or watery stool, clear urine, fresh taste, weakness, paler tongue with teeth-prints at the tongue edge, white tongue coating, weak or light pulse, or other symptoms and signs with similar characteristics. Patients with YH syndrome type are more likely to have tolerance to cold or intolerance to heat, cough with thick and yellowish sputum, redder complexion, constipation or dry stool, dark urine, fidgeting or impatience, redder tongue, thick and yellow tongue coating, slippery or strong pulse, or other symptoms and signs with similar features. The YC or YH syndrome types are the two sides of a relative TCM concept. Not all of the listed symptoms or signs are necessary for the diagnosis of the YC or YH. They only help describe the typical features of patients with YC or YH, so that the diagnosis of a special patient's syndrome type can be decided by comparing his TCM characteristics with these typical features. In the ISEL trial, before the identification of EGFR gene mutation, researchers found that gefitinib achieved better survival in female, nonsmoker patients with adenocarcinoma [13]. The same phenomenon was also noted in the BR.21 trial, where erlotinib was the study drug [14]. Meanwhile, Paez et al. [15] and Lynch et al. [16] found that activating somatic mutations of the EGFR gene was associated with response to EGFR-TKIs. Further clinical trials, especially the famous IPASS [17] and OPTIMAL [3] studies, confirmed that EGFR gene mutated patients achieved better PFS and response rate from gefitinib or erlotinib. Furthermore, in Paez et al.'s study [15], they found that EGFR mutations were more frequent in adenocarcinoma patients (21% versus 2%), in women (20% versus 9%), and in Japanese patients (26% versus 2%). In the IPASS [17] study population (patients from Asia, light, or nonsmokers and diagnosed with adenocarcinoma), 59.7% tumors had EGFR mutation, compared with the mutation rate of 12.1% in the unselected population of the ISEL study [13]. Therefore, clinicians usually consider the ethnic origin, smoking status, gender, and histologic findings to help identify patients who have a higher likelihood of having an EGFR mutation. In the TCM theory, female patients are more likely to have YC compared to male patients. In addition, cigarettes are the source of toxic heat, so the nonsmokers would have YC characteristics. In addition, most of the patients taking EGFR-TKIs would have red acneiform rashes, which is a typical sign of YH. Therefore, EGFR-TKIs may have a warming-Yang effect in TCM theory and should be used in patients with YC. Thus, we put forward the hypothesis that patients with YC would be more likely to have EGFR gene mutations. In this study, we identified the relationship between the YC or YH and the EGFR gene status, which may be the theoretical basis for further studies combining TCM therapies with EGFR-TKIs in NSCLC patients.

2. Materials and Methods

2.1. Patients and EGFR Gene Test

We prospectively studied previously untreated patients with newly diagnosed NSCLC or those with recurrence but had received their last anticancer therapy >6 months from the diagnosis of recurrence. These patients were admitted to the Guangdong Lung Cancer Institute of Guangdong General Hospital from January to June 2014 or admitted to the Department of Oncology of Guangdong Provincial Hospital of Chinese Medicine from March 2013 to May 2015. Those with other types of uncontrolled malignancies, uncontrolled tubercular (TB) or other infections, underlying diseases that were severe or life threatening, or severe mental disorders were excluded from this study, because of the difficulty in differentiating their TCM syndrome types. Patients who have had their cancer tissue EGFR gene status tested in other qualified hospitals only had their results recorded. Otherwise, the test for EGFR gene mutation in formalin-fixed, paraffin-embedded specimens was performed using the amplification refractory mutation system (ARMS) in the Department of Pathology of our hospital. All the patients provided written informed consent for this study and EGFR gene test. This study was approved by the Ethics Committee of Guangdong Provincial Hospital of Chinese Medicine.

2.2. TCM Syndrome Type Diagnosis

First, the TCM syndrome types, YC or YH, were diagnosed by the investigators. Meanwhile, a questionnaire that had 97 questions (106 for women) about symptoms and 54 questions about signs was also recorded (Supplementary Table 1 in Supplementary Material available online at https://doi.org/10.1155/2017/7063859). The questionnaire was formulated according to the textbook for TCM diagnostics (in Chinese), which includes the four classical diagnostic processes for TCM syndrome types: inspection, auscultation, inquiry, and palpation, so that can record the TCM characteristics. Second, another TCM expert, who was blinded to the former process, classified the patients as YC or YH according to his clinical experience and the answers recorded in the questionnaire. If the syndrome type diagnoses of these two experts were different, then a third TCM expert was invited to help with classifying a patient as YC or YH.

2.3. Statistical Analysis

First, the relationships between the TCM syndrome types (YC or YH) and the EGFR gene status (mutated or wild) were analyzed using the chi-square test (p < 0.05). Second, demographic and clinical characteristics were compared between the YC and YH groups. Those with significant difference between the two groups (p < 0.05), as well as the EGFR gene status, were entered into a multivariate logistic regression, using the forward stepwise method, to analyze the relation with the TCM syndrome types. Finally, considering the subjectivity of the TCM diagnosis, we carried out a binary cluster analysis. The symptoms and signs statistically correlated with the TCM syndrome types (p < 0.1), which appeared in ≥5% and ≤95% patients, were entered into the cluster analysis, dividing the patients into two groups. Then, the relationships between the TCM syndrome types, the EGFR status, and the classification by the cluster analysis were analyzed with the chi-square test (p < 0.05) and logistic regression. Data was documented using EpiData software (version 3.1) and analyzed using SPSS software (version 19.0).

3. Results

3.1. Patient Characteristics

A total of 310 patients were enrolled in our study. One hundred and seventy-five patients (56.45%) were YC according to the TCM theory, whereas the other 135 patients (43.55%) were YH. The demographic and clinical characteristics are shown in Table 1. More YH patients were male (82.09% versus 52.57%, p < 0.001) and had a history of smoking (75.56% versus 40.23%, p < 0.001). Patients in the YH group were older than those in the YC group (p = 0.028). Some cancer characteristics were also significantly different between the two groups. Patients with recurrence are more likely YC (16.57% versus 8.89%, p = 0.048). More of the YC patients had bone metastasis (48.47% versus 36.64%, p = 0.042) and nonsquamous cell pathology (89.66% versus 78.52%, p = 0.007). Notably, the mean blood pressure of YH patients was higher than YC patients (p⁡ = 0.026). There were no significant differences in ECOG performance status (PS) score, height, weight, primary location, stage, liver metastasis, lung metastasis, or brain metastasis between the two groups.
Table 1

Demographic, clinical, and tumoral characteristics of 310 patients.

CharacteristicsTotal (n = 310)YC (n = 175)YH (n = 135) p
(11 without EGFR status) (7 without EGFR status)(4 without EGFR status)
Gender<0.001
 Male (n, %)202 (65.37%)92 (52.57%)110 (82.09%)
 Female (n, %)107 (34.63%)83 (47.43%)24 (17.91%)
Age (year, mean ± SD)60.67 ± 10.8659.78 ± 11.4861.83 ± 9.900.028&
Smoker<0.001
 Yes (n, %)172 (55.66%)70 (40.23%)102 (75.56%)
 No (n, %)137 (44.34%)104 (59.77%)33 (24.44%)
Cancer history0.048
 Newly diagnosed (n, %)269 (86.77%)146 (83.43%)123 (91.11%)
 Recurrence (n, %)41 (13.23%)29 (16.57%)12 (8.89%)
Primary location0.069
 Peripheral (n, %)211 (73.26%)124 (77.5%)87 (67.97%)
 Central (n, %)77 (26.74%)36 (22.5%)41 (32.03%)
Stage0.054
 Non-IV (n, %)69 (22.40%)32 (18.39%)37 (27.61%)
 IV (n, %)239 (77.60%)142 (81.61%)97 (72.39%)
Lung metastasis0.091
 Yes (n, %)92 (30.16%)58 (34.12%)34 (25.19%)
 No (n, %)213 (69.84%)112 (65.88%)101 (74.81%)
Bone metastasis0.042
 Yes (n, %)127 (43.20%)79 (48.47%)48 (36.64%)
 No (n, %)167 (56.80%)84 (51.53%)83 (63.36%)
Liver metastasis0.562
 Yes (n, %)26 (8.64%)16 (9.47%)10 (7.58%)
 No (n, %)275 (91.36%)153 (90.53%)122 (92.42%)
Brain metastasis0.493
 Yes (n, %)60 (20.27%)36 (21.69%)24 (18.46%)
 No (n, %)236 (79.73%)130 (78.31%)106 (81.54%)
Pathology0.007
 Nonsquamous (n, %)262 (84.79%)156 (89.66%)106 (78.52%)
 Squamous (n, %)47 (15.21%)18 (10.34%)29 (21.48%)
PS0.472
 0~1260 (85.53%)151 (86.78%)109 (83.85%)
 2~444 (14.47%)23 (13.22%)21 (16.15%)
Height (cm, mean ± SD)163.29 ± 7.57161.14 ± 7.45166.17 ± 6.760.074&
Weight (kg, mean ± SD)59.40 ± 10.6958.00 ± 10.9161.27 ± 10.140.445&
Mean BP (mmHg, mean ± SD)92.56 ± 10.1691.15 ± 9.4994.38 ± 10.720.026&
EGFR status 0.001
 Mutated (n, %)110 (36.79%)76 (45.24%)34 (25.95%)
 Wild (n, %)189 (63.21%)92 (54.76%)97 (74.05%)
Exon 19 deletion0.011
 Yes (n, %)51 (17.11%)37 (22.02%)14 (10.77%)
 No (n, %)247 (82.89%)131 (77.98%)116 (89.23%)
Exon 21 mutation0.004
 Yes (n, %)46 (15.44%)35 (20.83%)11 (8.46%)
 No (n, %)252 (84.56%)133 (79.17%)119 (91.54%)
Rare mutation0.097
 Yes (n, %)12 (4.03%)4 (2.38%)8 (6.15%)
 No (n, %)286 (95.97%)164 (97.62%)122 (93.85%)

Chi-square test.

& t-test.

Spearman correlation coefficient: −0.198, p = 0.001 (TCM syndrome types: Yin-cold = 0, Yang-heat = 1; EGFR status: wild = 0, mutated = 1).

3.2. Relationship between EGFR Gene and TCM Syndrome Types

A total of 299 patients had their EGFR gene tested, including 121 tested by ARMS assay at our hospital, 134 tested by direct sequencing at Guangdong General Hospital, 10 tested at Sun Yat-sen University Cancer Center, 10 tested at the First Affiliated Hospital of Guangzhou Medical University, and 8 tested at Dian Diagnostics. All of these institutions are qualified for EGFR gene testing. The tissues of the other 13 patients were also tested in certified hospitals, including the First Clinical College of Southern Medical University, Cancer Center of Guangzhou Medical University, and the First Affiliated Hospital of Sun Yat-sen University. The test institutions for the three remaining patients were not recorded in our system. A total of 110 patients had EGFR mutations, including 51 with exon 19 deletion, 46 with exon 21 mutation, 9 with exon 20 mutation, and 3 with exon 18 mutation. Because this study started in 2013, when the detail of mutated sites of these exons did not yet attract our attention, we only recorded the mutated exons without details. However, 13 patients (8 YC and 5 YH) were known to have L858R mutation in exon 21, 1 (YC) with L861Q in exon 21, 2 (YH) with T790M in exon 20, and 2 (1 YC and 1 YH) with S768I in exon 20. YC patients were more likely to have the EGFR gene mutations than YH patients (45.24% versus 25.95%, p = 0.001, Table 1), as well as the exon 19 deletion (22.02% versus 10.77%, p = 0.011) and the exon 21 mutation (20.83% versus 8.46%, p = 0.004).

3.3. Logistic Regression

According to the chi-square test and the t-test, gender, age, smoke history, lung cancer history, bone metastasis, pathology, and mean blood pressure were significantly different between the YC and YH groups (Table 1), as well as the EGFR gene status. All of these demographic, clinical, and tumor characteristics were entered into a multivariate logistic regression, using the forward stepwise method. As a result, the EGFR gene status, as well as the mean blood pressure and smoke history, was independently associated with the TCM syndrome type (Table 2).
Table 2

Logistic regression for TCM syndrome types, YC = 0 and YH = 1; n = 276.

Variables β SEExp(β) p
BP0.0400.0141.0410.003
Smoker (yes = 1, no = 0)1.6120.2875.013<0.001
EGFR (mutated = 1, wild = 0)−0.6090.3040.5440.045
Constant−4.7201.2980.009<0.001

Adjusted by age, pathology, gender, lung cancer history, and bone metastasis.

3.4. Cluster Analysis

Due to the subjectivity of the TCM diagnosis, most of the studies about TCM failed to provide a high quality of evidence. To minimize the influence of subjectivity on the diagnosis of YC or YH in our study, we carried out a binary cluster analysis. A total of 292 patients had complete data on the symptoms and signs needed, including the 11 patients who did not have their EGFR gene tested. They were entered into the binary cluster analysis, according to the recorded 25 symptoms and 26 signs statistically correlated with the TCM syndrome types (p < 0.1), which appeared in ≥5% and ≤95% patients, dividing the patients into two groups. The most common symptoms and signs of the 132 patients in group A were intolerance to cold, fresh taste, weakness, and teeth-prints at the tongue edge, which were typical of YC. Meanwhile, most of the rest 160 patients in group B experienced expectoration, thick and yellow tongue coating, dry lips, slippery pulse, and deep-colored urine, which were typical symptoms and signs for YH (Table 3). The classification by cluster analysis was also statistically associated with the TCM syndrome type, with 98 patients (74.24%) in group A and 66 (41.25%) in group B with YC (p < 0.001, Table 3). In addition, patients in group A, who were more likely to be YC, also had a higher chance carrying the mutated EGFR gene (45.67% versus 28.57%, p = 0.003, Table 3). On logistic regression analysis, the EGFR gene status, as well as the gender and mean blood pressure, was independently associated with the classification by the cluster analysis (Table 4).
Table 3

Clinical characteristics of 292 patients classified by the cluster analysis.

Group A  (n = 132)Group B  (n = 160) p
Symptoms and signs (n = 292)
 Intolerance of cold81 (61.4%)52 (32.5%)<0.001
 Fresh taste80 (60.6%)60 (37.5%)<0.001
 Weakness78 (59.1%)65 (40.6%)0.002
 Teeth-prints at the tongue edge76 (57.6%)53 (33.1%)<0.001
 Expectoration76 (57.6%)113 (70.6%)0.020
 Yellow tongue coating52 (39.4%)110 (68.8%)<0.001
 Thick tongue coating54 (40.9%)102 (63.8%)<0.001
 Dry lips63 (47.7%)102 (63.8%)0.006
 Slippery pulse25 (18.9%)97 (60.6%)<0.001
 Deep-colored urine74 (56.1%)90 (56.3%)0.974
 Red tongue31 (23.5%)86 (53.8%)<0.001
TCM syndrome type (n = 292)
 Yin-cold98 (74.24%)66 (41.25%)<0.001
 Yang-heat34 (25.76%)94 (58.75%)
EGFR gene status (n = 281)∗∗
 Wild type69 (54.33%)110 (71.43%)0.003
 Mutated type58 (45.67%)44 (28.57%)

Spearman correlation coefficient: 0.331, p < 0.001. Group A = 0 and group B = 1; Yin-cold = 0, Yang-heat = 1.

Spearman correlation coefficient: −0.177, p = 0.003. Group A = 0 and group B = 1; wild = 0, mutated = 1.

Table 4

Logistic regression for classification by cluster analysis, group A = 0 and group B = 1; n = 259.

Variables β SEExp(β) p
BP0.0380.0141.040.007
Gender (male = 1, female = 0)1.2850.2983.615<0.001
EGFR (mutated = 1, wild = 0)−0.6670.3030.5130.028
Constant−1.4181.3390.2420.289

Adjusted by age, pathology, smoke history, lung cancer history, and bone metastasis.

4. Discussion

EGFR-TKIs are the preferred treatment for intermediate to advanced stage NSCLC in patients with EGFR gene mutation. However, the median PFS was only 9–13 months even for the exclusively EGFR-mutant advanced NSCLC patients [2–5, 18, 19]. TCM therapies have been widely used in cancer, including NSCLC. Although the reported trials combining TCM with EGFR-TKIs declared that their decoctions or patent prescriptions were effective, the TCM treatment principles of these decoctions or patent prescriptions were all different, or even opposite. For example, the TCM treatment principle of the decoction in Xiao et al.'s study [10] was strengthening vital qi and clearing cancer toxicity, especially clearing heat, whereas the principles in Yi-tang's study [11] included strengthening vital qi, warming-Yang, nourishing Yin, clearing heat, and activating blood stasis, etc. For the TCM patent prescriptions, Huachansu Injection in Jian's study [8] has the effect of clearing Yang-heat, whereas Kanglaite Injection in Qing-Hua and Gao-Feng's study [9] has the effect of warming-Yang. On the other hand, a case report by Hwang et al. reported that inappropriate TCM herbs induced resistance to gefitinib whereas withdrawing of the herbs caused sensitivity again to gefitinib [20]. As a result, although many studies have reported the efficacy of TCM combining with EGFR-TKIs, we still do not know how to choose the decoctions or patent prescriptions in clinical practice, because of lack of TCM treatment principles. However, because of the complexity of TCM syndrome types, it is hard to form a widely accepted TCM syndrome type differentiation system. Because the YC or YH syndrome types can guide the outline of TCM differentiation of the diseases according to the traditional book Huangdi Neijing and modern studies [12], we believe that we should first differentiate these two types of TCM syndrome to guide the TCM treatment principles for NSCLC patients in combination with EGFR-TKIs. In our study, we have proved that EGFR gene mutation was associated with YC, according to both the univariate chi-square test and multivariate logistic regression. To reduce the subjectivity in TCM syndrome type diagnosis and differentiation, the YC or YH were differentiated according to three TCM experts' diagnosis. In addition, we carried out a cluster analysis to minimize the subjectivity of TCM diagnosis. As was shown in the results, the classification by cluster analysis also confirmed our hypothesis. Therefore, the association between the YC or YH and the EGFR gene status was credible. Based on our initial finding, there are some TCM issues which warrant further research. First, although the YC or YH was significantly associated with the EGFR gene status, the correlation coefficient was only −0.198, and only 57.86% patients were exactly expected. In fact, diagnosing the different TCM syndrome types is very complicated. Aside from differentiating Yin and Yang, cold and heat, we also need to differentiate Interior and Exterior, Deficiency and Excess, diseases in six meridians and twelve zang-fu organs, and the different diseases of qi, blood, and body liquids. On the other hand, investigating the gene status of our NSCLC patients was also complicated, as they had EGFR, ROS-1, ALK, RAS and some other rare mutations. Therefore, there may be complex networks between the TCM syndrome types and the gene status, which has been studied in coronary heart disease [21]. We can further study the relationship between the complex TCM syndrome types and the complex gene status by next generation sequencing. Secondly, because the EGFR gene mutated patients are more likely YC and the EGFR-TKIs may be effective for warming-Yang, the syndrome types should change during treatment with EGFR-TKIs, from YC to YH, according to the TCM theory. To prove the TCM efficacy of EGFR-TKIs, we need to compare the TCM syndrome types of patients before and after taking EGFR-TKIs, especially during disease progression. Finally, the most common side effect of EGFR-TKIs was red acneiform rashes [2–5, 18, 19], with thirsty, red, and dry tongue and yellow tongue coating, which are also the evidence for the warming-Yang influence of EGFR-TKIs in TCM theory. However, we still do not know whether the warming-Yang influence of EGFR-TKIs is a treatment effect or just a kind of side effect. If the warming-Yang influence is a therapeutic effect, then patients with YH should achieve better prognosis, and TCM therapies with warming-Yang principles may help to improve the efficacy of EGFR-TKIs. By comparing the PFS and overall survival (OS) of the patients with YC or YH at diagnosis and progression after taking EGFR-TKIs, we can also find out the TCM treatment principles to delay the resistance to EGFR-TKIs. We will report the results as soon as the survival data is mature. All this research will be meaningful for guiding the principle of TCM therapies in combination with EGFR-TKIs, because we have proved the relationship of YC or YH with EGFR gene status.

5. Conclusions

In conclusion, we found that patients with YC have a higher chance with EGFR gene mutation. The influences on PFS and OS of TCM syndrome types (YC or YH) and TCM treatment principles (warming-Yang or clearing-heating) warrant further study, based on the confirmation of our TCM concept. Supplementary Table 1: the questionnaire is used to record the TCM characteristics.
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  6 in total

1.  Deep Convolutional Neural Networks for Classifying Body Constitution Based on Face Image.

Authors:  Er-Yang Huan; Gui-Hua Wen; Shi-Jun Zhang; Dan-Yang Li; Yang Hu; Tian-Yuan Chang; Qing Wang; Bing-Lin Huang
Journal:  Comput Math Methods Med       Date:  2017-10-18       Impact factor: 2.238

2.  Network Pharmacology-Based Strategy for Predicting Therapy Targets of Traditional Chinese Medicine Xihuang Pill on Liver Cancer.

Authors:  Xu Zhao; Jian Hao; Sinuan Chen
Journal:  Evid Based Complement Alternat Med       Date:  2020-03-14       Impact factor: 2.629

3.  Qing-Kai-Ling Injection Acts Better Than Shen-Fu Injection in Enhancing the Antitumor Effect of Gefitinib in Resistant Non-Small Cell Lung Cancer Models.

Authors:  Ya-Ya Yu; Yan-Juan Zhu; Ying Zou; Zhen-Zhen Xiao; Shuai Shi; Yi-Hong Liu; Xue-Song Chang; Ya-Dong Chen; Hai-Bo Zhang
Journal:  Evid Based Complement Alternat Med       Date:  2021-10-04       Impact factor: 2.629

4.  High-throughput untargeted metabolomics and chemometrics reveals pharmacological action and molecular mechanism of chuanxiong by ultra performance liquid chromatography combined with quadrupole-time-of-flight-mass spectrometry.

Authors:  Wen Luo; Jia-Wen Zhang; Li-Juan Zhang; Wei Zhang
Journal:  RSC Adv       Date:  2019-11-28       Impact factor: 4.036

5.  Altered Resting-State Brain Activities in Drug-Naïve Major Depressive Disorder Assessed by fMRI: Associations With Somatic Symptoms Defined by Yin-Yang Theory of the Traditional Chinese Medicine.

Authors:  Zhexue Xu; Shu Zhang; Liyuan Huang; Xiaolei Zhu; Qing Zhao; Yawei Zeng; Dongfeng Zhou; Di Wang; Hironori Kuga; Atsushi Kamiya; Miao Qu
Journal:  Front Psychiatry       Date:  2018-05-15       Impact factor: 4.157

6.  Patient Reported Traditional Chinese Medicine Spleen Deficiency Syndrome (TCM-SDS) Scale for Colorectal Cancer: Development and Validation in China.

Authors:  Lingyun Sun; Jun J Mao; Yunzi Yan; Yun Xu; Yufei Yang
Journal:  Integr Cancer Ther       Date:  2021 Jan-Dec       Impact factor: 3.279

  6 in total

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