Literature DB >> 35210836

Traditional Chinese Medicine Decoctions Improve Longevity Following Diagnosis with Stage IV Esophageal Squamous Cell Carcinoma: A Retrospective Analysis.

Honglin Li1, Chunzheng Ma1, Sisi Chang2, Yutan Xi2, Shuai Shao2, Mengli Chen2, Juan Ren2, Mingyue Sun1, Liang Dong1.   

Abstract

OBJECTIVE: Traditional Chinese medicine (TCM) is an ancient form of personalized medicine and may improve morbidity and mortality in patients with esophageal cancer. This retrospective study aimed to evaluate the utility of TCM in the treatment of stage IV esophageal squamous cell carcinoma (SCC).
METHODS: We collected the medical records of patients with stage IV SCC admitted to Henan Provincial Hospital of Traditional Chinese Medicine and Linzhou Hospital of Traditional Chinese Medicine between July 2017 and June 2020. We used univariate and multivariate analyses to determine if the use of TCM improved patient prognosis. Moreover, cluster analysis was used to classify the patients according to TCM syndrome type and identify the most frequently used combinations of remedies.
RESULTS: After that 402 patients were included in PSM, of which 196 (48.8%) were treated with traditional Chinese medicine. TCM prolonged the survival time of patients with stage IV esophageal SCC (P=0.084), and was an independently associated with prognosis as demonstrated by Cox multivariate regression analysis [risk ratio (RR) =0.543, 95% confidence interval (CI): 0.390-0.755, P<0.001]. Association analysis revealed 75 cases (38.26%) had obstruction of phlegm and qi syndrome, 53 cases (27.04%) had phlegm and blood stasis syndrome, 38 cases (19.39%) had yang-qi deficiency syndrome, and 30 cases (15.31%) had heat retention and fluid consumption syndrome.
CONCLUSION: Treatment with TCM derived therapies may increase the survival time of patients with stage IV esophageal SCC. Since these patients were diagnosed with different TCM syndromes, individualized TCM therapy is essential for improving symptoms and survival.
© 2022 Li et al.

Entities:  

Keywords:  esophageal cancer; survival time; syndrome differentiation; syndrome treatment; traditional Chinese medicine syndrome type

Year:  2022        PMID: 35210836      PMCID: PMC8858954          DOI: 10.2147/IJGM.S346536

Source DB:  PubMed          Journal:  Int J Gen Med        ISSN: 1178-7074


Introduction

Esophageal cancer is a deadly, yet understudied, malignant tumor of the digestive system.1 Its morbidity and mortality rank 8th and 6th in the world respectively, with reported 5-year survival rates between 15–25%.2,3 In particular, Asian countries experience the greatest disease burden from esophageal cancer, with over 75% of cases worldwide arising in this region. China alone accounts for 50% of esophageal cancer cases worldwide, with 188,000 deaths reported in 2015.4–6 Many studies have examined the use of traditional Chinese medicine (TCM) in the treatment of esophageal cancer.7–9 These reports suggest that TCM based therapies may both enhance the efficacy of and reduce side effects from Western treatments, as well as directly induce apoptosis in tumor cells. However, little is known about indications for treatment based on TCM criteria, and there is a lack of available data regarding usage rates and outcomes associated with TCM based therapies among patients with advanced esophageal squamous cell carcinoma (SCC), the most common form of esophageal cancer. Like the majority of cancers, the standard of care for esophageal cancer is a combination of chemotherapy, radiotherapy, and/ or surgery.10,11 In China, patients are often treated with a comprehensive approach utilizing both conventional and TCM derived therapies.12 The TCM treatment arm relies on the principle of “Bian Zheng Lun Zhi”, or “treatment based on syndrome differentiation”.12 This process involves observing, listening to, and questioning the patient, alongside a basic physical examination, in order to prescribe the best remedy. Correct syndrome differentiation is vital for the efficacy of TCM. Personalized or precision medicine has existed for centuries in China under the umbrella of TCM. Deciphering meaningful patterns from “treatment based on syndrome differentiation” is the first step in translating this system into a scientific language. Network or cluster analysis is an important tool which can explore the relationship between Chinese herbal formulae and corresponding TCM syndromes and to identify synergy between treatment combinations.13 Under a network framework, one can begin to define the relationship between herbal properties and curative effects with the goal of uncovering the therapeutic principles of TCM. In this study, we evaluated the medical records of patients with stage IV esophageal SCC who were treated at the Henan Hospital of Traditional Chinese Medicine and Linzhou Hospital of Traditional Chinese Medicine. We report patient outcomes associated with both conventional treatment (chemotherapy, radiotherapy and/or surgery) and TCM based treatment. Moreover, using network analysis, we examine syndrome differentiation and associated herbal remedies prescribed for these patients.

Materials and Methods

Study Design

This retrospective, real-world study was approved by the Ethics Committee of Henan Provincial Hospital of Traditional Chinese Medicine[2019(40)], and informed consent was waived. Patients were divided into a TCM and non-TCM group based on the usage of TCM decoctions. Since this study has no potential harm to the included cases, we applied for exemption from the informed consent process. This study abides by the Helsinki declaration.

Patients

We collected the medical records of inpatients admitted to the Oncology Department of Henan Provincial Hospital of Traditional Chinese Medicine and Linzhou Hospital of Traditional Chinese Medicine from July 2017 to June 2020. Inclusion criteria: (1) diagnosis of esophageal cancer based on the WHO (2010) definition of esophageal carcinoma; (2) diagnosis with stage IV esophageal SCC confirmed by pathology; (3) patients in the TCM group must have received TCM based treatment for more than 3 months. Exclusion criteria: (1) patients with more than two kinds of malignant tumors; (2) patients experiencing acute illness; (3) patients participating in other studies.

TCM Syndrome Differentiation and TCM Treatment

Standards of syndrome differentiation and diagnosis are described in “Internal Medicine of Traditional Chinese Medicine”, the “12th Five-Year Plan” national textbook for higher education published by the Chinese Press for Traditional Chinese Medicine in 2012.14 For greater reliability, two doctors (with the title of associate chief physician or higher) assessed each patient for syndrome differentiation and prescribed relevant treatments. Patients were divided into four primary disease categories: (1) phlegm-qi stagnation syndrome, (2) phlegm-blood stasis syndrome, (3) Yang-qi deficiency syndrome, and (4) heat retention and fluid consumption syndrome (sometimes grouped with yin-deficiency). Other syndromes with small sample sizes were attributed to the most relevant primary syndrome.

Evaluation Indicators and Evaluation Methods

We retrieved medical records from the health information system (HIS) of each hospital to obtain each patient’s age, number of concomitant diagnoses, clinical stage and pathological type of esophageal cancer, and TCM syndrome diagnosis. We collected additional information on each patient’s survival status and treatment regimen by telephone and outpatient visits. The deadline for follow-up was June 30, 2020. The study endpoint was death or status at the last follow-up, and data collection was considered complete if the patient died during the study. In this group, survival time was defined as the number of months between the time of diagnosis and the time of death. In patients who survived to the data collection endpoint, the survival time was defined as the number of months between the time of diagnosis and the last follow-up and considered truncated (censored) data. The survival data from missing subjects were treated as truncated data, and the survival time was the number of months between the time of diagnosis and the last follow-up appointment.

Data Processing

The names, classifications, and nature flavor meridians of drugs were all standardized with reference to Pharmacopoeia of the People’s Republic of China (2015)15 and Traditional Chinese medicine.16 We reviewed each TCM in order to capture and group all synonymous TCM treatments that can appear with different names. For example, we recorded “Fried Atractylodes” as “Atractylodes”, “Radix Dipsaci of Sichuan” as “Radix Dipsaci”, and “Radix Astragali preparate” as “Astragalus” and so on. If a single TCM had multiple nature flavor meridians, statistics were made for each meridian. Processing alters properties such as efficacy and toxicity for each treatment, so similar products undergoing different processing procedures are classified as separate drugs in our analysis.

Data Mining

SPSS Modeler 14.1 (SPSS, Chicago, IL, USA) statistical software was used for association analysis of frequently used TCM drugs (prescribed in ≥ 10% of cases) according to different syndrome types. The level of significance was calculated using two indicators, support (s) and confidence (c). We defined the a priori conditions as follows: 10% for support degree, 90% for confidence coefficient, antecedents ≤ 5, and lift ≥ 1. Lift was calculated by dividing the confidence of a rule by the support of the consequent.

Statistical Methods

Categorical variables were expressed as n (%), and the differences between the TCM group and the control group were tested using the chi-square (χ2) test. According to the desired protocol, data such as age are represented as categorical variables. If the P value was greater than 0.05, the difference was not considered statistically significant. A Kaplan-Meier curve was used to evaluate overall survival (OS) in the TCM group and the control group. The Log Rank test was used to calculate the survival difference between the two groups and analyze the factors related to the OS of patients with stage IV esophageal SCC. A Cox regression model was used for multivariate analysis of combinatorial variables. The statistical analysis was performed using SPSS 23.0 (IBM, Armonk, New York, USA) and GraphPad Prism 8.0 (GraphPad Corporation, College Station, CA, USA).

Results

Baseline Characteristics

We collected data from a total of 880 patients with esophageal cancer admitted to the hospital between July 2017 to June 2020. During the case registration process, 28 patients were lost to follow-up, 14 patients refused treatment, 3 patients were older than 90 years old, and 11 patients died of other diseases. Patients were divided into Chinese medicine group and non-Chinese medicine group, and patients with no statistical difference in the distribution of chemotherapy confounding factors between the two groups were screened by 1:1 propensity score matching (PSM). Therefore, a total of 402 cases were included in the study, including 196 patients who were prescribed TCM and 206 patients who were not. The baseline characteristics and clinical characteristics are shown in Table 1.
Table 1

Baseline Survival Data and Clinical Characteristics of Patients with Stage IV SCC

Non-TCM Group (n=196)TCM Group (n=206)P value
Gender0.058
Male134 (68.4)114 (55.3)
Female62 (31.6)92 (44.7)
Age0.186
≤65years102 (52.0)88 (42.7)
>65years94 (48.0)118 (57.3)
Family history0.061
Yes40 (20.4)66 (32.0)
No156 (79.6)140 (68.0)
Pulmonary metastasis0.588
Yes59(29.8)101 (48.5)
No137 (69.8)105 (53.5)
Hepatic metastases0.842
Yes64 (32.7)70 (34.0)
No132 (67.3)136 (66.0)
Other distal metastasis*0.436
Yes132 (67.3)136 (64.0)
No64 (32.6)70 (34.0)
Treatment measures
Surgery0.033
Yes96 (49.0)74 (35.9)
No100 (51.0)132 (64.1)
Radiotherapy0.962
Yes140 (71.4)152 (73.8)
No56 (28.6)54 (26.2)
Chemotherapy0.090
Yes156 (79.6)126 (61.2)
No40 (20.4)80 (38.8)
Chinese patent medicine#
Yes170 (86.7)162 (78.6)0.130
No26 (13.3)44 (21.4)
TCM injection#
Yes130 (66.3)122 (59.2)0.298
No66 (33.7)84 (40.8)

Notes: The data was presented as n (%). *Other distal metastasis included bone metastasis, brain metastasis, etc, excluding lung and liver metastasis. #Some patients reported a history of using traditional Chinese patent medicine and TCM injections, but they ceased use during the study observation period.

Abbreviation: TCM, traditional Chinese medicine.

Baseline Survival Data and Clinical Characteristics of Patients with Stage IV SCC Notes: The data was presented as n (%). *Other distal metastasis included bone metastasis, brain metastasis, etc, excluding lung and liver metastasis. #Some patients reported a history of using traditional Chinese patent medicine and TCM injections, but they ceased use during the study observation period. Abbreviation: TCM, traditional Chinese medicine.

Survival Analysis of Patients with Stage IV Esophageal Squamous Cell Carcinoma

Kaplan-Meier survival curves for the two groups of patients are shown in Figure 1. The median survival time of stage IV patients receiving TCM was 16 months, while patients not receiving TCM had a median survival time of only 14 months. Moreover, the survival rates of patients in the TCM group (93.9% at 6 months, 75.5% at 12 months, and 28.2% at 24 months) were higher than those in the non-TCM group (90.2% at 6 months, 62.8% at 12 months, and 24.2% at 24 months) (Log Rank test P=0.084).
Figure 1

Overall survival time of stage IV patients with esophageal cancer. Patients in the non-TCM group are shown in red and patients in the TCM group are shown in blue. Patients in the TCM group show improved survival characteristics (Log Rank test: P=0.084).

Overall survival time of stage IV patients with esophageal cancer. Patients in the non-TCM group are shown in red and patients in the TCM group are shown in blue. Patients in the TCM group show improved survival characteristics (Log Rank test: P=0.084). We identified factors that may influence patient survival and prognosis by Log Rank univariate analysis (see Table 2). In addition to TCM (P=0.084), surgery (P<0.001) and radiotherapy (P=0.016) appear to positively impact survival, while liver metastasis (P=0.035) and lung metastasis (P=0.02) negatively impact survival. The variables which did not significantly impact prognosis included gender, age, a family history of cancer, expression of the tumor markers CEA and CA199, treatment with chemotherapy, and the presence other distant metastases (P>0.05).
Table 2

Log-Rank Univariate Analysis of Factors Which May Influence Survival Time Following Diagnosis with Stage IV Esophageal SCC

VariablesGroupingCasesMedian Survival Time (Months)95% Confidence Intervalχ2P value
GenderMale2481513.443–16.5570.5790.447
Female1541512.431–17.569
Age≤651901614.319–17.6810.8710.351
>652121412.626–15.374
Family history of cancerYes1061511.830–18.1700.4490.503
No2961513.515–16.485
CEANormal901613.470–18.5302.5110.113
Abnormal1111513.721–16.279
CA199Normal1361614.513–17.4873.6620.056
Abnormal651412.691–15.309
Hepatic metastasesYes671411.600–16.4004.4520.035*
No1341513.109–16.891
Pulmonary metastasisYes1291513.621–16.3795.3760.020*
No721714.450–19.550
Other distal metastasisYes48139.608–16.3920.9790.322
No1531513.485–16.515
TCMYes1961614.236–17.7644.5600.038*
No2061412.904–15.096
SurgeryYes1702018.816–21.18467.068<0.001*
No2321211.249–12.751
RadiotherapyYes2081513.016–16.9845.7950.016*
No1941411.774–16.226
ChemotherapyYes2821513.547–16.4531.8930.169
No1201411.470–16.530

Note: *P-values considered statistically significant (P<0.05) are indicated in bold and with an asterisk.

Log-Rank Univariate Analysis of Factors Which May Influence Survival Time Following Diagnosis with Stage IV Esophageal SCC Note: *P-values considered statistically significant (P<0.05) are indicated in bold and with an asterisk. Cox multivariate regression analysis shows that TCM (RR=0.543, 95% CI: 0.390–0.755, P<0.001), surgery (RR=0.266, 95% CI: 0.194–0.365, P<0.001), radiotherapy (RR=0.422, 95% CI: 0.299–0.595, P<0.001), and lung metastasis (RR=1.532, 95% CI: 1.121–2.094, P=0.007) were independent factors which positively influenced the overall survival time of patients with stage IV esophageal SCC (Table 3).
Table 3

Cox Multivariate Regression Analysis of Factors Influencing Survival Time Following Diagnosis with Stage IV Esophageal Squamous Cell Carcinoma

VariablesBSEWald χ2RR95% CIP value
TCM−0.6110.16913.1320.5430.390–0.755<0.001*
Surgery−1.3230.16167.7750.2660.194–0.365<0.001*
Radiotherapy−0.8630.17624.0740.4220.299–0.595<0.001*
Hepatic metastases0.1170.1610.5291.1250.820–1.5430.467
Pulmonary metastasis0.4270.1607.1511.5321.121–2.0940.007*

Note: *P-values considered statistically significant (P<0.05) are indicated in bold and with an asterisk.

Abbreviations: B, regression coefficient; SE, standard error of regression coefficient; RR, risk ratio; CI, confidence interval.

Cox Multivariate Regression Analysis of Factors Influencing Survival Time Following Diagnosis with Stage IV Esophageal Squamous Cell Carcinoma Note: *P-values considered statistically significant (P<0.05) are indicated in bold and with an asterisk. Abbreviations: B, regression coefficient; SE, standard error of regression coefficient; RR, risk ratio; CI, confidence interval.

Frequency of TCM Syndrome Types and Treatments

A fourth of all cancer patients admitted to the participating hospitals received a primary diagnosis of esophageal cancer during the study period. At the time of admission, these patients presented with fatigue, poor appetite, pain, and dysphagia. A total of 196 patients had recorded TCM syndromes, among which 75 cases (38.26%) had obstruction of phlegm and qi syndrome, 53 cases (27.04%) had phlegm and blood stasis syndrome, 38 cases (19.39%) had yang-qi deficiency syndrome, and 30 cases (15.31%) had heat retention and fluid consumption syndrome. TCM practitioners prescribed treatments described in “Chinese Materia Medica”.17 A total of 273 prescriptions were written for 196 patients, using a total of 319 Chinese traditional medicines, of which 77 prescriptions were repeat prescriptions for 77 patients. We counted the frequency of TCM remedies appearing in more than 40 cases (Table 4). We found that Atractylodes macrocephala was the most frequently used drug [155 (56.77%) in 273 prescriptions], followed by Tuckahoe [125 (45.78%)], Codonopsis [117 (42.85%)] and dried tangerine peel [108 (39.56%)]. Doctors most frequently prescribed drugs in the tonifying deficiency category [53 (16.61%)], followed by bronchodilators for relieving phlegm and cough [28 (8.77%)] and Qi-regulating drugs [23 (7.21%)] (Table 5).
Table 4

Prescribing Frequency of the Most Common Chinese Medicines*

OrderMedicineFrequency (%)OrderMedicineFrequency (%)
1Atractylodes macrocephala155 (56.77)11Guizhi72 (26.37)
2Tuckahoe125 (45.78)12Pinellia ginger65 (23.8)
3Codonopsis117 (42.85)13Jujube57 (20.87)
4Dried tangerine peel108 (39.56)14Jiao Shenqu54 (19.78)
5Astragalus102 (37.36)15Wei Lingxian53 (19.41)
6Ginger88 (32.23)16Coix Seed51 (18.68)
7Gallus gallus domesticus81 (29.67)17Stir-fried Malt50 (18.31)
8Qing Pinellia78 (28.57)18Gualou46 (16.84)
9Magnolia officinalis80 (29.30)19Panax Notoginseng Powder42 (15.38)
10Angelica73 (26.73)20Bupleurum41 (15.01)

Note: *A total of 273 TCM prescriptions were written for patients.

Table 5

Top 8 TCM Treatment Categories*

OrderClassificationFrequency (%)
1Tonifying deficiency53 (16.61)
2Bronchodilators for relieving phlegm and cough28 (8.77)
3Qi-regulating23 (7.21)
4Digestives20 (6.26)
5Blood-activating and stasis-resolving21 (6.58)
6Exterior-releasing17 (5.32)
7Diuretics12 (3.76)
8Heat-clearing and detoxification14 (4.38)

Note: *A total of 319 traditional Chinese medicines were used.

Prescribing Frequency of the Most Common Chinese Medicines* Note: *A total of 273 TCM prescriptions were written for patients. Top 8 TCM Treatment Categories* Note: *A total of 319 traditional Chinese medicines were used.

Cluster Analysis of TCM Syndrome Differentiation and Medication Combinations

We used association analysis to identify the indications for frequently prescribed drugs (prescribed for more than 35 patients). Association rules are used in data mining to detect relationships between values of categorical variables. A standard association rule is the implication X→Y (s, c), where X (antecedent) and Y (consequent) are frequent items in a transactional database and the intersection of X and Y is non-empty. The level of significance is given by two indicators, support (s) and confidence (c). The measure “support” is the proportion of transactions in the dataset that contain X and Y and the measure “confidence” is the proportion of transactions containing X in which item Y also appears. We include another measure called lift which reflects the correlation between an antecedent and consequent. We present the association rules for commonly prescribed TCM remedies in Table 6.
Table 6

Association Analysis of Frequently Prescribed TCM Therapies for Esophageal Cancer

ConsequentAntecedentSupport (%)Confidence (%)Lift
Yang-qi Deficiency Syndrome
OchreAgrimony and Ginger11.980.06.7
Medicated leavenMalt and Ginger14.383.35.8
Caulis spatholobiRadix aucklandiae and Poria cocos11.980.04.8
Radix aucklandiaeCaulis spatholobi and Poria cocos11.980.04.2
Radix aucklandiaeAgrimony and Ginger11.980.04.2
Rehmannia glutinosaFructus corni14.383.33.9
AgrimonyOchre11.9100.03.8
GeckoWeilingxian and Fructus Ziziphi Jujubae11.980.03.4
AgrimonyRadix aucklandiae and Pinellia11.980.03.1
Fructus amomiOrange peel and Angelica sinensis14.383.32.9
Fructus Ziziphi JujubaeAngelica sinensis and Ginger11.9100.02.6
Phlegm and Blood Stasis Syndrome
Whole scorpionCentipede and Codonopsis pilosula10.090.010.0
Whole scorpionCentipede and Pinellia10.090.010.0
Excrementum pteropiCattail pollen and Pinellia10.090.09.0
Airpotato yamSeed of garden balsam and Gecko10.080.08.9
Cattail pollenExcrementum pteropi10.0100.08.3
Forsythia suspensa VahlHoneysuckle and Poria cocos10.090.08.2
Excrementum pteropiCattail pollen and Concha arcae10.080.08.0
HoneysuckleForsythia suspensa Vahl and Pinellia10.080.08.0
GoldthreadScutellaria baicalensis and Poria cocos10.080.04.7
WeilingxianGecko and Endothelium corneum gigeriae galli10.080.04.0
Obstruction of Phlegm and Qi Syndrome
HoneysuckleForsythia suspensa Vahl and Pinellia10.181.88.9
Fructus aurantii immaturusRheum officinale11.083.35.7
GeckoWeilingxian and The bulb of fritillary13.880.04.2
Medicated leavenHawthorn and Orange peel10.190.93.8
Peach kernelRed flower13.880.03.5
Medicated leavenMalt and Pinellia15.682.43.5
MaltHawthorn and Poria cocos10.181.83.4
WeilingxianGecko and The bulb of fritillary11.992.33.4
WeilingxianGecko and Seed of garden balsam10.190.93.3
Angelica sinensisLigusticum wallichii and Codonopsis pilosula13.8100.02.5
Heat Retention and Fluid Consumption Syndrome
Radix scrophulariaeOphiopogonis10.7100.09.3
OphiopogonisRadix scrophulariae and Radix paeoniae rubra10.7100.09.3
Bletilla hyacinthina reichbAspongopus10.7100.07.0
Peach kernelFructus aurantii immaturus and Rheum officinale10.7100.05.6
Amomum cardamomumOrange peel and Cassia twig14.3100.05.6
Rheum officinalePeach kernel and Fructus aurantii immaturus10.7100.04.7
Ligusticum wallichiiRehmannia glutinosa10.7100.04.0
Angelica sinensisRehmannia glutinosa10.7100.04.0
Radix paeoniae rubraOphiopogonis and Astragalus10.7100.04.0
Angelica sinensisRehmannia glutinosa and Ligusticum wallichii10.7100.04.0
Association Analysis of Frequently Prescribed TCM Therapies for Esophageal Cancer According to our cluster analysis, the core drug pairs for patients with Yang-qi deficiency syndrome (synergistic drugs are in parentheses) are agrimony and ginger (red ochre), malt and ginger (caulis spatholobi), radix aucklandiae and poria cocos (caulis spatholobi), and fructus corni (Rehmannia glutinosa) (Table 6). These are prescribed to enrich the blood and strengthen the spleen and stomach. The core drug pairs for patients with phlegm and blood stasis syndrome were centipede and dangshen (whole scorpion), centipede and pinellia (whole scorpion), cattail pollen and pinellia (excrementum pteropi), seed of garden balsam and gecko (air potato yam), and cattail pollen (excrementum pteropi), which are mainly derived from insects and used to promote blood circulation, resolve masses, and eliminate phlegm and qi. Patients with obstruction of phlegm and qi syndrome were prescribed drugs such as medicated leaven (malt and pinella) which also clear qi and dissolve phlegm, promote blood circulation and resolve masses. The core drug pairs for patients with heat retention and fluid consumption syndrome included radix ophiopogonis (radix scrophulariae), radix scrophulariae and radix paeoniae rubra (radix ophiopogonis), aspongopus (bletilla hyacinthina reichb), fructus aurantii immaturus and rheum officinale (peach kernel), and orange peel and cassia twig (amomum cardamomum). These are thought to replenish yin and relieve fever. All the primary drugs for each syndrome type and their prescribing relationships are shown in Figure 2.
Figure 2

Association analysis identifies synergistic drug pairs by syndrome type. Association analysis was used to identify pairs of drugs commonly prescribed for (A) Yang-qi deficiency syndrome, (B) heat retention and fluid consumption syndrome, (C) phlegm and blood stasis syndrome and (D) obstruction of phlegm and qi syndrome. The width of the line between nodes indicates the frequency of co-prescribing. For example, in panel A, we see that, large-headed atractylodes is commonly prescribed with pinella and almost never prescribed with tangerine peel for yang-qi deficiency.

Association analysis identifies synergistic drug pairs by syndrome type. Association analysis was used to identify pairs of drugs commonly prescribed for (A) Yang-qi deficiency syndrome, (B) heat retention and fluid consumption syndrome, (C) phlegm and blood stasis syndrome and (D) obstruction of phlegm and qi syndrome. The width of the line between nodes indicates the frequency of co-prescribing. For example, in panel A, we see that, large-headed atractylodes is commonly prescribed with pinella and almost never prescribed with tangerine peel for yang-qi deficiency.

Discussion

Esophageal cancer is a prevalent malignant tumor in Asian countries, and is primarily caused by exposure to environmental carcinogens.6,18–20 Most cases have few symptoms in early stages, and as such onset is insidious leading to poor treatment options.21–23 Therefore, the objective of this study was to evaluate the use of Traditional Chinese Medicine (TCM) alongside conventional Western therapies such as chemotherapy and radiation. We have shown that the use of TCM decoctions is associated with increased longevity following diagnosis of stage IV esophageal squamous cell carcinoma (SCC). As demonstrated by multivariate Cox analysis, this effect was independent of use with any particular conventional treatment. Network analysis was used to classify patients with TCM diseases of dysphagia. It is believed diseases of dysphagia arise from liver qi invading the stomach, failure of stomach qi to descend, adverse rising of stomach-qi aggravated local esophageal lesions, and dysfunctions of the liver, spleen and stomach leading to phlegm accumulation and phlegm and blood stasis. This further impairs swallowing, increases phlegm and salivation, and patients were prone to severe choking, salivation, extreme emaciation, and deficiency of vital qi. Therefore, the TCM practitioners’ observation of “deficiency of vital qi” may be a prognostic factor for the survival of patients with esophageal cancer. In this real-world study (RWS),24 patients with esophageal cancer were taken as the research objects. Most patients were in an advanced stage at diagnosis, with more than 60% experiencing lymph node metastasis and distal metastasis. Therefore, overall patient prognosis was poor. In the treatment of esophageal cancer with TCM, “Bian Zheng Lun Zhi”, or “treatment based on syndrome differentiation”, formed the foundation of patient care.25 We found that patients with yang-qi deficiency syndrome were primarily prescribed drugs which enrich the blood and strengthen the spleen and stomach. Patients with phlegm and blood stasis syndrome or obstruction of phlegm and qi syndrome were prescribed drugs which increase circulation, resolve masses, and clear phlegm and qi. Patients with heat retention and fluid consumption syndrome were given treatments believed to replenish yin, lower body temperature, and relieve fever. Even in a disease mainly manifested by “real” symptoms, drugs which promote tonification, or improved flow of qi or bodily energy, were widely prescribed to esophageal cancer patients by TCM practitioners (Table 5). These treatments are thought to tonify the spleen, regulate qi, and nourish the blood (encourage the movement of qi and blood throughout the body). This enhances the clearing of phlegm, disperses masses, and promotes circulation. In the treatment of heat retention and fluid consumption syndrome, drugs carrying the properties of yin-nourishing were used, such as radix ophiopogonis and radix scrophulariae, alongside remedies such as rehmannia glutinosa and angelica sinensis which relieve fever with sweet and warm herbs and nourish the blood (Figure 2). Further studies are necessary to elucidate the molecular factors and biological mechanisms underlying the observations of TCM physicians.26–30 This study had some limitations. Clinical evidence patterns are primarily determined by clinical observations and the experience of physicians. Even though standards in medical textbooks guide TCM therapy,14 TCM is difficult to generalize. Since the diagnosis and treatment of diseases in TCM are based on syndrome differentiation, the diversity of clinical syndromes determines the complexity of treatment. For example, we had to group less commonly seen TCM syndromes within our four primary categories based on clinical manifestation. Moreover, as this was a retrospective analysis, we could not obtain all information which may be relevant to patient prognosis such as the degree of tumor differentiation, location and size of the lesions, and the presence of other tumor markers. Due to the limitations of the retrospective design, the findings of this study will be further evaluated in a prospective cohort study or a randomized controlled trial at a later stage. This study will explore the influence of specific TCM therapies on survival to provide further credible clinical evidence for the treatment of esophageal cancer with TCM.

Conclusions

This retrospective cohort study shows that TCM treatment is a prognostic protective factor for patients with stage IV esophageal SCC and appears to increase long term survival by two months. It is undeniable that in the real world, TCM is useful in the treatment of esophageal cancer, whether in syndrome differentiation or as an adjunct to Western medicine.31,32 A comprehensive approach based on TCM may reduce adverse reactions from Western therapies, increase treatment sensitivity, and reduce the chance of reoccurrence. In this study, the individualistic nature of “treatment based on syndrome differentiation” was key to improving longevity in stage IV SCC patients.
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Review 1.  Esophageal cancer: epidemiology, pathogenesis and prevention.

Authors: 
Journal:  Nat Clin Pract Gastroenterol Hepatol       Date:  2008-09

Review 2.  Traditional Chinese medicinal herbs in the treatment of patients with esophageal cancer: a systematic review.

Authors:  Taixiang Wu; Xunzhe Yang; Xiaoxi Zeng; Guy D Eslick
Journal:  Gastroenterol Clin North Am       Date:  2009-03       Impact factor: 3.806

3.  Esophageal Cancer.

Authors:  Matthew W Short; Kristina G Burgers; Vincent T Fry
Journal:  Am Fam Physician       Date:  2017-01-01       Impact factor: 3.292

Review 4.  The potential of herb medicines in the treatment of esophageal cancer.

Authors:  Jie Ying; Miaomiao Zhang; Xiaoyan Qiu; Yu Lu
Journal:  Biomed Pharmacother       Date:  2018-04-24       Impact factor: 6.529

5.  Global trends in esophageal cancer.

Authors:  Gautam K Malhotra; Ujwal Yanala; Advaitaa Ravipati; Matthew Follet; M Vijayakumar; Chandrakanth Are
Journal:  J Surg Oncol       Date:  2017-03-20       Impact factor: 3.454

Review 6.  Traditional Chinese medicine targeting apoptotic mechanisms for esophageal cancer therapy.

Authors:  Yu-shuang Zhang; Qiang Shen; Jing Li
Journal:  Acta Pharmacol Sin       Date:  2015-12-28       Impact factor: 6.150

7.  iTRAQ-based proteomic analysis to identify the molecular mechanism of Zhibai Dihuang Granule in the Yin-deficiency-heat syndrome rats.

Authors:  Chang-Ming Liu; Jing Chen; Su Yang; Ting-Ting Jiang; Zhong-Liang Chen; Hui-Hui Tu; Lian-Gen Mao; Yu-Ting Hu; Lin Gan; Zhong-Jie Li; Ji-Cheng Li
Journal:  Chin Med       Date:  2018-01-08       Impact factor: 5.455

Review 8.  Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment.

Authors:  Runzhi Zhang; Xue Zhu; Hong Bai; Kang Ning
Journal:  Front Pharmacol       Date:  2019-02-21       Impact factor: 5.810

9.  TCMID: Traditional Chinese Medicine integrative database for herb molecular mechanism analysis.

Authors:  Ruichao Xue; Zhao Fang; Meixia Zhang; Zhenghui Yi; Chengping Wen; Tieliu Shi
Journal:  Nucleic Acids Res       Date:  2012-11-29       Impact factor: 16.971

10.  Esophageal squamous cell carcinoma and prognosis in Taiwan.

Authors:  Ya-Fu Cheng; Hui-Shan Chen; Shiao-Chi Wu; Heng-Chung Chen; Wei-Heng Hung; Ching-Hsiung Lin; Bing-Yen Wang
Journal:  Cancer Med       Date:  2018-07-25       Impact factor: 4.452

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