Skip to main content
Integrative Cancer Therapies logoLink to Integrative Cancer Therapies
. 2019 Feb 8;18:1534735419827098. doi: 10.1177/1534735419827098

Network Meta-Analysis of Chinese Herbal Injections Plus the FOLFOX Regimen for the Treatment of Colorectal Cancer in China

Dan Zhang 1, Jiarui Wu 1,, Xiaojiao Duan 1, Kaihuan Wang 1, Mengwei Ni 1, Shuyu Liu 1, Xiaomeng Zhang 1, Bing Zhang 1, Yi Zhao 1
PMCID: PMC7242776  PMID: 30791732

Abstract

Objective: The aim of the present network meta-analysis (NMA) was to explore the comparative effectiveness and safety of different Chinese herbal injections (CHIs) combined with the FOLFOX regimen versus FOLFOX alone for colorectal cancer (CRC). Methods: A comprehensive search for randomized controlled trials (RCTs) was performed with regard to different CHIs for treating CRC in several electronic databases up to July 2016. The quality assessment of the included RCTs was conducted according to the Cochrane risk of bias tool. Standard pair-wise and Bayesian NMA were designed to compare the effectiveness and safety of different CHIs combined with the FOLFOX regimen by utilizing WinBUGS 1.4.3 and Stata 13.1 software, simultaneously. Results: Initially, a total of 820 citations were retrieved through comprehensive searching, and 60 eligible articles involving 4849 participants and 14 CHIs were ultimately included. The results of the current evidence indicated that the FOLFOX regimen combined with Delisheng, Kanglaite, Shenqifuzheng, or Aidi injections were associated with the most favorable clinical efficacy compared with the FOLFOX regimen alone. Additionally, the FOLFOX regimen combined with Delisheng, Xiaoaiping, Lentinan, Kangai, Shenqifuzheng, or Aidi injections improved performance status among patients with CRC. Conclusions: The results of cluster analysis demonstrated that the combination of Compound matrine injection and FOLFOX regimen was associated with more preferable and beneficial outcomes than other CHIs groups. Nevertheless, the additional results from multicenter trials and high-quality studies will be pivotal for supporting our findings.

Keywords: Chinese herbal injections, FOLFOX regimen, network meta-analysis, colorectal cancer, randomized controlled trials

Introduction

Colorectal cancer (CRC) is one of common malignancies of the digestive system.1 It is reported that CRC is the third leading cause of cancer mortality in China, which is associated with the improvements or changes in lifestyle, nutrition, and environment during several decades.2,3 In China, the morbidity and mortality of CRC were 23.03/100 000 and 11.11/100 000, respectively, in 2011. NCCN (National Comprehensive Cancer Network) guidelines recommend FOLFOX regimen, which consists of oxaliplatin (L-OHP), 5-fluorouracil (5-FU), and leucovorin (LV), as the standard first-line chemotherapeutic drugs for CRC; however, it still has some short- and long-term side effects or adverse reactions (ADRs) according to many clinical reports.4 Recently, evidence in the literature indicates that traditional Chinese medicine (TCM) might be a considerably promising complementary and alternative therapy for patients with CRC.5,6 In the theory of TCM, CRC belongs to the category of “abdominal mass,” and its basic pathogenesis is closely correlated to the deficiency in origin and excess in superficiality.7 Furthermore, the recent trials validated that TCM could produce encouraging results in CRC with notable objective responses, considerable curative effects, meaningful survival advantage, and so on.8,9 Chinese herbal injection (CHIs) are a new form of TCM preparation, which are prepared by extracting and purifying the effective and active compounds from herbs (or decoction pieces) via modern scientific techniques and methods.10,11 The anticancer CHIs are mainly used for adjuvant radiotherapy and chemotherapy against tumors by reducing toxicity, enhancing efficiency, ameliorating symptoms, and improving the performance status in clinical use.12-14 Recently, there is also increasing interest in CHIs combined with conventional anticancer therapies, and multiple studies have recognized that the combination of CHIs and chemotherapy or radiotherapy can provide supportive care for cancer patients effectively owing to its unique advantages of reducing ADRs and improving survival time.15,16

Compared with the double-arm meta-analysis, network meta-analysis (NMA) can synthesize multiple correlation factors, and direct or indirect comparisons simultaneously by summarizing different interventions for the same disease.17,18 Moreover, NMA can provide evidence for identifying optimal therapies based on the rankings of different outcomes.19 Given the widespread and long-term use of CHIs combined with chemotherapy in China, it is warranted to explore the comparative effectiveness and safety between different CHIs plus FOLFOX against CRC. To address this issue, this NMA is conducted to provide references points regarding the clinical incorporation of CHIs as adjuvant chemotherapy for CRC.

Materials and Methods

The procedure of the current NMA includes sections on literature search, inclusion criteria, data extraction, quality assessment, and statistical analysis, in accordance with Cochrane criteria and PRISMA Checklist (Supplementary Table 1, available online).

Selection Criteria

All strictly randomized trials comparing CHIs plus FOLFOX to FOLFOX alone for treating CRC were considered as eligible for this NMA. The selection criteria of the NMA were determined through discussion and investigation by 5 researchers (DZ, JW, SL, XD, KW). Three investigators (DZ, JW, SL) independently perused the titles and abstracts of the identified RCTs, excluding irrelevant clinical trials. Only RCTs meeting the following conditions were enrolled in the present NMA:

  1. Study design: RCTs that concerned CHIs combined with the FOLFOX regimen for patients with CRC, irrespective of the publication language. Additionally, other study types were excluded, such as reviews, duplicate publications, pharmacological experiments, case reports, editorials, and letters.

  2. Patient: The included participants were diagnosed with CRC, and without limitations on gender, race, or nationality.

  3. Intervention/comparison: The CHIs group was treated by CHIs plus the FOLFOX regimen; and patients with CRC in the FOLFOX group solely received the FOLFOX regimen.

  4. Outcome: The primary outcomes of the NMA were the clinical effectiveness rate and the performance status, and the secondary outcomes were ADRs (such as leukopenia, nausea, and vomiting). The clinical effectiveness rate was defined as complete response or partial response.20

The improvement of performance status was considered to be an increase in the Karnofsky performance score (KPS) of more than 10 points after completed treatment. More details about the product information of CHIs are listed in Supplementary Table 2, available online.

Search Strategy

RCTs concerning the different CHIs were retrieved through the following databases up to July 2016: PubMed, Embase, the Cochrane Library, the China National Knowledge Infrastructure Database (CNKI), the Wan-Fang Database, the Chinese Scientific Journals Full-text Database (VIP), and the Chinese Biomedical Literature Database (SinoMed). There was no limitation on publication year, language, and blinding methods. The search terms were divided into 3 categories: CRC, CHIs, and RCTs. The search strategy used a combination of subject words and free-text words. In the Chinese databases, search terms about CRC were “Colorectal neoplasms, Colorectal cancer, Colonic neoplasms, Colon cancer, Rectal neoplasms, Rectal cancer, Rectal tumor, Anus neoplasms, Anus cancer,” with a full-text search for “random”; in English databases, the search words in the CRC category were “Colorectal Neoplasm, Colorectal Tumor*, Colorectal Carcinoma*, Colorectal Cancer*, Colonic Neoplasm*, Rectal Neoplasm*, Sigmoid Neoplasm*, and Anus Neoplasm*”. The specific Chinese and English search terms for each CHI and specific retrieval strategies are shown in Supplemental Material, available online. The reference lists of the searched articles were also reviewed to identify the potential enrolled RCTs.

Data Extraction and Quality Assessment

The corresponding data of included RCTs were extracted using Microsoft Excel (Microsoft Corp, Redmond, WA):

  1. Publication data: title, authors’ names, publication date, and literature sources

  2. Patients’ characteristics: the number, age, sex, KPS before treatment, tumor types, and tumor stages

  3. Intervention: the drug, dose, and duration

  4. Outcomes: reported data of clinical effectiveness rate and performance status

According to the Cochrane risk of bias tool (Cochrane Handbook for Systematic Reviews of Interventions, version 5.1.0),21,22 two investigators (DZ, SL) independently examined the quality of all included trials. Discrepancies were resolved either by consensus or through adjudication by a third investigator (JW). The quality evaluation items of each trial included selection bias (random sequence generation and allocation concealment), performance bias (blinding of participants and personnel), detection bias (blinding of outcome assessment), attrition bias (incomplete outcome data), reporting bias (selective reporting), and other bias. These items were scored as low, high, or unclear risk of bias.

Statistical Analysis

The clinical effectiveness rate and the improvement of performance status were displayed as odds ratio (OR) with 95% confidence intervals (CIs). In view of the heterogeneity between trials, the Bayesian hierarchical random-effects model was first fitted for multiple comparisons of different treatment options for CRC.23,24 On the one hand, all calculations and graphs were conducted by Stata 12.0 software (Stata Corporation, College Station, TX). The relationship of the different treatments was presented as a network graph; meanwhile, a comparison-adjusted funnel plot was utilized to test for the potential publication bias.25,26 Moreover, we adopted surface under the cumulative ranking probabilities (SUCRA) values to rank the examined treatments, and the SUCRA values ranged from 0 to 1. A higher SUCRA value corresponds to a higher ranking for CRC compared with other treatments.27,28 On the other hand, based on the theory of likelihood function and some prior assumptions, Markov chain Monte Carlo (MCMC) simulation was calculated by the Bayesian inference with WinBUGS 1.4.3 software (MRC Biostatistics Unit, Cambridge, United Kingdom) to investigate the posterior distributions of the interrogated nodes.29-31 Because there was no head-to-head trial in the NMA, the consistency assumption was not established.32 Furthermore, cluster analysis was conducted for choosing the optimal CHIs considering both clinical effectiveness rate and improvement in performance status treatments simultaneously.

Results

Literature and Assessment of Quality

A total of 820 articles were retrieved via the searching strategy of the literature databases (see Materials and Methods). After screening the titles and abstracts to remove the irrelevant articles and reading the full texts to remove articles that did not meet the inclusion criteria, ultimately, a total of 60 RCTs that evaluated CHIs combined with the FOLFOX regimen for treating CRC were identified. In addition, this NMA incorporated 14 types of CHIs, namely, Compound matrine, Aidi, Shenqifuzheng, Kangai, Javanica oil emulsion, Shenmai, Kanglaite, Lentinan, Huachansu, Xiaoaiping, Delisheng, Astragalus injections, Shenfu, and Astragalus polysaccharides injections. All trials were published in Chinese, and the flow diagram is presented in Figure 1.

Figure 1.

Figure 1.

Flow chart of the search for eligible studies.

Overall, 4849 patients with CRC from 60 RCTs were involved in the present NMA; among them, 2466 patients were allocated to CHIs-FOLFOX, and 2383 patients received FOLFOX alone.33-92 All of the included RCTs reported the information of patient population sizes and ages, while 57, 23, and 29 trials described the patients’ ages, tumor staging of CRC, and KPS before treatment, respectively. There was no major difference in patient characteristics between different treatment arms. The basic characteristics of the individual trials are listed in Table 1, and Figure 2 shows the network graph of different interventions for the outcomes.

Table 1.

The Basic Characteristics of the Included RCTs.

Study ID N (E/C) Sex (M/F) Average Age Pathological Type
KPSs Type of TCM Injection Dose Treatment (Days) Outcomesa
Early Advanced
Zhao JC 201233 33/33 40/26 35-75/52.3 ± 6.7 ≥60 Compound matrine 30 mL 10 d × 2 1
Dong WH 201634 70/60 90/40 38-70/56 NR >65 Compound matrine 30 mL 10 d × 2 1
Hu YC 201235 20/20 27/13 28-73 ≥60 Compound matrine 40 mL 15 d × 4 1
Liao GQ 200936 125/125 142/108 26-80/58.6 >70 Compound matrine 20 mL 14 d 1, 2
Yan Q 201537 41/41 43/39 54.4 ± 6.5 NR NR Compound matrine 20 mL 14 d × 4 1, 2
Kang T 201538 52/52 55/49 66.31 ± 7.29 NR NR Compound matrine 20 mL 21 d × 3 1
Gao JF 201439 40/40 45/35 30-75/54.3 ± 1.2 NR NR Compound matrine 15 mL 21 d × 2 1
Liu KH 201440 37/37 43/31 44-76/60 >70 Compound matrine 20 mL 14 d × 4 1, 2
Xi R 201141 56/48 58/46 26-75/52 NR >70 Compound matrine 20 mL 14 d × 6 1, 2
Tao CL 201342 74/74 101/47 49-74/60.2-8.9 ≥60 Compound matrine 15 mL 21 d 1
Kuang YM 200743 30/30 33/27 28-72 ≥60 Compound matrine 15 mL 14 d × 4 1
Liu XG 201544 52/52 61/43 36-78 NR NR Compound matrine 20 mL 14 d × 4 1
Fang XG 201245 36/36 40/32 17-72 NR NR Compound matrine 15 mL 21 d × 2 1, 2
Wang HM 201046 28/28 34/22 58 NR NR Compound matrine 15 mL 21 d × 2 1, 2
Li D 201547 26/26 31/21 45-70/55.82 ± 7.31 NR NR Compound matrine 15 mL 14 d × 4 1
Zhu YS 201648 30/30 32/28 24-74/57.3 ± 3.6 NR NR Compound matrine 20 mL 21 d × 4 1, 2
Gao W 201049 38/35 37/36 31-75/52 NR NR Compound matrine 20 mL 10 d × 4 1, 2
Wei H 201550 60/60 72/48 41-78/55 ± 4.8 NR NR Compound matrine 20 mL 14 d × 2 1, 2
Yu GY 201451 38/38 49/27 47-75/62.8 ± 6.3 ≥60 Compound matrine 30 mL 10 d × 4 1, 2
Wang JY 201152 21/21 NR 55 NR NR Compound matrine 12 mL 14 d × 2 1
Xu L 201453 30/30 35/25 45-78/56.8 ± 1.2 NR NR Compound matrine 15 mL 14 d × 6 1, 2
Fu SY 200754 36/32 45/23 32-75/56 NR NR Compound matrine 40 mL 21 d × 2 1
Zhang ML 201555 30/30 42/18 33-72/45.6 ± 7.9 NR NR Compound matrine 15 mL 14 d × 4 1
Jiang LH 201656 50/50 46/54 40-75/58.3-7.5 NR >70 Compound matrine 20 mL 7 d × 4 1
Ren H 201457 60/60 71/49 33-76/56 NR NR Compound matrine 12 mL 15 d × 3 1
Li X 201158 35/37 38/34 61.41 ± 7.19 ≥60 Aidi 100 mL 14 d × 2 1
Yu Y 201659 30/30 37/29 32-72/53.28 ± 5.91 >60 Aidi 100 mL 10 d × 5 1, 2
Fan S 201060 44/44 48/40 32-65/61 NR >70 Aidi 100 mL 14 d × 4 1
Li HJ 200761 65/52 79/38 28-77/58 NR >60 Aidi 100 mL 14 d × 4 1, 2
Hai YJ 201162 30/30 38/22 37-72/56.4 NR ≥60 Aidi 50 mL 14 d × 4 1
Liu T 200963 30/30 33/27 39-68/62.2 NR ≥60 Aidi 50 mL 21 d × 2 1
Huang SM 201364 40/38 43/35 30-75/55 >70 Aidi 50 mL 14 d × 2 1, 2
Huang J 200865 30/26 35/21 40-70/66.5 NR NR Aidi 50-100 mL 21 d × 2 1, 2
Liang L 201066 27/27 37/17 35-72/53 ≥70 Aidi 50 mL 21 d × 6 1
Chen LF 201367 30/30 37/23 34-74/54.8 ± 6.3 NR NR Aidi 80 mL 10 d × 4 1, 2
Ni BQ 200968 70/65 86/49 28-74 NR ≥60 Shenqifuzheng 250 mL 14 d × 2 1
Song M 201569 45/44 52/37 61.9 ± 10.2 NR Shenqifuzheng 250 mL 14 d × 2 1
Wang CB 201070 40/40 36/44 34-70/51 NR NR Shenqifuzheng 250 mL 14 d × 2 1
Zou JL 201271 45/44 49/40 27-91/58.7 >60 Shenqifuzheng 250 mL 21 d × 2 1
Ying F 201572 30/30 35/25 32-74/52 NR Shenqifuzheng 250 mL 14 d × 4 1
Zhao T 201173 32/32 36/28 44-76 NR NR Shenqifuzheng 250 mL 14 d × 2 1, 2
Yan F 201474 56/56 68/44 36-84/56.2-11.3 NR Shenqifuzheng 250 mL 14 d × 6 2
Huo W 200875 22/14 24/12 26-70/51 NR Shenqifuzheng 250 mL 14 d × 4 1, 2
Liang QL 200976 76/76 101/51 35-78/54.2 ± 2.8 ≥60 Shenqifuzheng 250 mL 21 d × 2 1, 2
Guo YH 201577 50/50 55/45 28-75/58.4 ± 2.6 NR NR Kangai 60 mL 21 d 1
Liang JB 201578 31/31 38/24 44-69/53.8 ± 6.4 NR NR Kangai 40 mL 14 d × 2 1, 2
Yang YH 200879 30/30 35/25 51.07 ± 10.44 NR NR Kangai 60 mL 14 d × 4 1
Lei Z 201280 30/30 35/25 31-75 NR Kangai 50 mL 14 d × 4 1
Xiao B 200881 43/28 NR 53.5 NR NR Kangai 40 mL 14 d × 6 1, 2
Qiao JJ 201382 25/25 33/17 36-72/55.3 NR Kangai 41 mL 30 d 1, 2
Fang ZM 200883 48/45 58/25 59.5 ± 11.3 NR ≥70 Javanica oil emulsion 30 mL 14 d × 2 1
Wen K 201584 40/40 NR 48-82/63.2 ≥60 Shenmai 60 mL 14 d × 2 2
Liao YJ 201185 34/32 38/28 38-74/54 ≥60 Kanglaite 200 mL 10 d × 4 1, 2
Wang RW 201586 64/60 72/52 51.7 ± 3.5 NR NR Kanglaite 100 mL 14 d × 2 1
Zhou ZY 201287 39/39 50/28 37-75/53.8 ± 5.5 NR Kanglaite 200 mL 14 d × 4 1, 2
Ma Y 201388 41/37 47/31 61.6 ± 8.19 >60 Lentinan 1 mg 14 d × 12 1, 2
Huang JL 201289 21/20 9/32 37-69/53.2 NR ≥60 Cinobufacini 15-20 mL 14 d × 2 1
Zhang L 201290 20/20 25/15 59.24 ± 20.37 NR 70 Xiaoaiping 1 mg 14 d × 2 1, 2
Liang SY 201091 30/33 38/25 46 NR ≥70 Delisheng 20-40 mL 14 d × 2 1, 2
Chen F 200992 30/30 40/20 27-70/53.8 ± 14.4 NR ≥60 Astragalus 60 mL 21 d × 3 1

Abbreviations: E, experimental group; C, control group; M, male; F, female; KPS, Karnofsky performance score; TCM, traditional Chinese medicine; NR, not reported.

a

Outcomes: 1 = clinical effectiveness rate; 2 = performance status.

Figure 2.

Figure 2.

Network graphs of outcomes: (A) the clinical effectiveness rate; (B) performance status; (C) leukopenia; (D) nausea and vomiting.

We critically appraised the methodological quality of the included RCTs in accordance with the Cochrane risk of bias tool. In random sequence generation, although all trials mentioned randomization, a total of 14 RCTs provided the details of randomized grouping method; therefore, these trials were rated as low risk, namely, 12 RCTs used a random number table; 1 RCT applied an envelope method for randomization, and 1 RCT used stratified random sampling to generate random sequences. Only 1 RCT referred to the method of blinding, evaluated as low risk in performance bias and detection bias. Regarding allocation concealment, 1 RCT used sealed opaque envelopes. Follow-up information for 6 RCTs was available, and 3 RCTs described losses to follow-up. In terms of selective reporting, none of included RCTs explicitly showed reporting bias. Other bias sources were not identified. In general, the methodological quality of included RCTs was not high. A summary of the risk of bias for each included RCT is shown in Figure 3.

Figure 3.

Figure 3.

Risk of bias graph.

Outcomes

The Clinical Effectiveness Rate

The data on the clinical effectiveness rate were available for 50 RCTs involving 11 types of CHIs. According to the results of NMA illustrated in Table 2, the results showed that there was a benefit of Delisheng + FOLFOX, Kanglaite + FOLFOX, Shenqifuzheng + FOLFOX, and Aidi + FOLFOX over FOLFOX regimen alone in terms of the clinical effectiveness rate. These results were statistically significant; ORs and 95% CIs were 4.23 (1.20, 11.73), 1.99 (1.10, 3.31), 1.82 (1.13, 2.78), and 1.55 (1.01, 2.30), respectively. No statistically significant differences were observed among CHIs groups for clinical effectiveness rate.

Table 2.

Results (OR, 95% CI) of Network Meta-Analysis for the Clinical Effective Rate (Upper Right Quarter) and the Improvement of Performance Status (Lower Left Quarter).

CM + FOLFOX 0.46 (0.37, 0.56) 0.71 (0.44, 1.10) 0.83 (0.49, 1.31) 0.65 (0.35, 1.10) 0.82 (0.29, 1.86) 0.91 (0.48, 1.57) 0.65 (0.20, 1.60) 1.47 (0.31, 4.69) 2.34 (0.44, 7.62) 1.93 (0.53, 5.40) 0.72 (0.19, 1.95)
0.37 (0.27, 0.50) FOLFOX 1.55 (1.01, 2.30) 1.82 (1.13, 2.78) 1.41 (0.80, 2.32) 1.79 (0.65, 4.01) 1.99 (1.10, 3.31) 1.42 (0.45, 3.48) 3.22 (0.68, 10.23) 5.13 (0.97, 16.45) 4.23 (1.20, 11.73) 1.58 (0.43, 4.21)
1.40 (0.82, 2.26) 3.80 (2.48, 5.64) AD + FOLFOX 1.22 (0.63, 2.14) 0.95 (0.46, 1.72) 1.21 (0.39, 2.90) 1.34 (0.63, 2.52) 0.96 (0.27, 2.48) 2.17 (0.42, 7.09) 3.45 (0.60, 11.10) 2.85 (0.73, 8.31) 1.07 (0.27, 3.00)
0.95 (0.57, 1.47) 2.58 (1.77, 3.62) 0.71 (0.39, 1.16) SQFZ + FOLFOX 0.8228 (0.3807, 1.552) 1.04 (0.33, 2.51) 1.15 (0.53, 2.19) 0.83 (0.23, 2.16) 1.87 (0.35, 6.11) 2.98 (0.51, 9.62) 2.47 (0.62, 7.27) 0.92 (0.23, 2.62)
1.16 (0.47, 2.40) 3.13 (1.37, 6.27) 0.86 (0.33, 1.85) 1.26 (0.49, 2.70) KA + FOLFOX 1.37 (0.40, 3.44) 1.51 (0.65, 3.022) 1.08 (0.29, 2.86) 2.44 (0.45, 8.06) 3.91 (0.64, 13.47) 3.20 (0.78, 9.48) 1.21 (0.28, 3.48)
JI + FOLFOX 1.39 (0.40, 3.49) 0.99 (0.19, 3.07) 2.247 (0.3178, 8.288) 3.56 (0.46, 13.07) 2.92 (0.53, 9.56) 1.10 (0.20, 3.58)
0.87 (0.26, 2.19) 2.36 (0.76, 5.74) 0.65 (0.19, 1.67) 0.95 (0.28, 2.42) 0.88 (0.20, 2.56) KLT + FOLFOX 0.78 (0.20, 2.11) 1.76 (0.32, 5.89) 2.80 (0.45, 9.65) 2.30 (0.55, 6.89) 0.86 (0.20, 2.49)
1.01 (0.38, 2.12) 2.72 (1.12, 5.69) 0.75 (0.27, 1.69) 1.09 (0.41, 2.42) 1.01 (0.29, 2.67) 1.51 (0.32, 4.45) LI + FOLFOX 2.98 (0.38, 11.33) 4.74 (0.57, 18.55) 3.93 (0.64, 13.89) 1.47 (0.24, 5.10)
HCS + FOLFOX 2.60 (0.21, 11.53) 2.14 (0.24, 8.68) 0.79 (0.089, 3.04)
1.28 (0.38, 3.23) 3.47 (1.10, 8.55) 0.95 (0.27, 2.46) 1.39 (0.41, 3.566) 1.29 (0.29, 3.72) 1.91 (0.35, 6.18) 1.51 (0.33, 4.46) XAP + FOLFOX 1.38 (0.15, 5.52) 0.52 (0.057, 2.10)
2.27 (0.39, 7.59) 6.14 (1.12, 20.08) 1.68 (0.28, 5.70) 2.46 (0.42, 8.29) 2.29 (0.32, 8.22) 3.40 (0.39, 13.33) 2.70 (0.35, 9.89) 2.33 (0.2633, 9.081) DLS + FOLFOX 0.52 (0.070, 1.82)
AI + FOLFOX
1.25 (0.32, 3.52) 3.39 (0.93, 9.34) 0.93 (0.23, 2.67) 1.36 (0.34, 3.92) 1.26 (0.25, 3.94) 1.85 (0.31, 6.34) 1.47 (0.28, 4.76) 1.28 (0.21, 4.39) 0.97 (0.096, 3.94) SM + FOLFOX

Abbreviations: OR, odds ratio; CI, confidence interval; AD, Aidi injection; AI, Astragalus injection; AP, Astragalus polysaccharides injection; CM, Compound matrine injection; DLS, Delisheng injection; FOLFOX, FOLFOX regimen; JI, Javanica oil emulsion injection; HCS, Huachansu injection; KA, Kangai injection; KLT, Kanglaite injection; LI, Lentinan injection; SF, Shenfu injection; SM, Shenmai injection; SQFZ, Shenqifuzheng injection; XAP, Xiaoaiping injection.

Performance Status

In total, 37 RCTs with 9 CHIs contributed to the analysis of performance status. Indirect comparisons demonstrated that receiving Delisheng + FOLFOX, Xiaoaiping + FOLFOX, Lentinan + FOLFOX, Kangai + FOLFOX, Shenqifuzheng + FOLFOX, and Aidi + FOLFOX were associated with a substantial improvement in performance status versus receiving the FOLFOX regimen alone; these between-group differences were statistically significant, with ORs and 95% CIs of 6.14 (1.12, 20.08), 3.47 (1.10, 8.55), 2.72 (1.12, 5.69), 3.13 (1.37, 6.27), 2.58 (1.77, 3.62), and 3.80 (2.48, 5.64), respectively (Table 2). Nevertheless, the differences across different CHIs were not statistically significant.

ADRs

The specific NMA results of ADRs are presented in Table 3. A total of 45 RCTs provided sufficient information for estimating leukopenia: Compound matrine + FOLFOX, Aidi + FOLFOX, Shenqifuzheng + FOLFOX, Kangai + FOLFOX were associated with a substantially relieving leukopenia than receiving the FOLFOX regimen alone; these between-group differences were statistically significant, with ORs and 95% CIs of 3.35 (2.37, 4.76), 0.29 (0.19, 0.43), 0.45 (0.28, 0.74), 0.30 (0.18, 0.51), respectively. Among CHIs groups, Compound matrine + FOLFOX (OR = 3.98, 95% CI = 1.26-12.4), Aidi + FOLFOX (OR = 4.09, 95% CI = 1.28-13.04), Kangai + FOLFOX (OR = 3.95, 95% CI = 1.18-13.24) might relate to better effects in relieving leukopenia than Javanica oil emulsion + FOLFOX group. Similarly, Compound matrine + FOLFOX (OR = 4.42, 95% CI = 2.1-9.061), Aidi + FOLFOX (OR = 4.55, 95% CI = 2.11-9.70), Shenqifuzheng + FOLFOX (OR = 2.92, 95% CI = 1.28-6.44), Kangai + FOLFOX (OR = 4.39, 95% CI = 1.89-10.02) might relate to the better effects of relieving leucopenia than Kanglaite + FOLFOX group.

Table 3.

Results (OR, 95% CI) of Network Meta-Analysis for Leucopenia (Upper Right Quarter) and Nausea and Vomiting (Lower Left Quarter).

CM + FOLFOX 3.35 (2.37, 4.76) 0.97 (0.56, 1.66) 1.51 (0.83, 2.77) 1.01 (0.53, 1.91) 3.98 (1.26, 12.4) 4.42 (2.1, 9.061) 1.29 (0.37, 4.25) 0.43 (0.014, 4.15) 2.68 (0.59, 12.1) 1.39 (0.35, 5.19) 1.79 (0.45, 6.88) 2.15 (0.71, 6.42)
2.74 (1.53, 4.95) FOLFOX 0.29 (0.19, 0.43) 0.45 (0.28, 0.74) 0.30 (0.18, 0.51) 1.19 (0.40, 3.50) 1.32 (0.69, 2.48) 0.38 (0.12, 1.21) 0.13 (0.0044, 1.21) 0.80 (0.18, 3.44) 0.41 (0.11, 1.48) 0.54 (0.14, 1.95) 0.64 (0.23, 1.80)
1.09 (0.47, 2.52) 0.40 (0.22, 0.72) AD + FOLFOX 1.55 (0.83, 2.96) 1.04 (0.53, 2.05) 4.09 (1.28, 13.04) 4.55 (2.11, 9.70) 1.33 (0.38, 4.49) 0.45 (0.015, 4.37) 2.76 (0.60, 12.54) 1.43 (0.36, 5.47) 1.85 (0.46, 7.19) 2.20 (0.73, 6.80)
0.68 (0.091, 4.90) 0.25 (0.036, 1.63) 0.63 (0.084, 4.58) SF + FOLFOX
1.39 (0.53, 3.65) 0.51 (0.24, 1.09) 1.28 (0.49, 3.40) 2.05 (0.27, 16.21) SQFZ + FOLFOX 0.67 (0.32, 1.37) 2.64 (0.79, 8.56) 2.92 (1.28, 6.44) 0.85 (0.23, 2.97) 0.29 (0.0095, 2.82) 1.79 (0.37, 8.22) 0.91 (0.22, 3.57) 1.19 (0.29, 4.69) 1.42 (0.45, 4.44)
0.85 (0.32, 2.25) 0.31 (0.14, 0.67) 0.78 (0.29, 2.07) 1.24 (0.16, 9.92) 0.61 (0.20, 1.80) KA + FOLFOX 3.95 (1.18, 13.24) 4.39 (1.89, 10.02) 1.28 (0.35, 4.53) 0.43 (0.014, 4.34) 2.69 (0.54, 12.63) 1.37 (0.33, 5.49) 1.79 (0.43, 7.23) 2.12 (0.67, 6.83)
3.07 (0.48, 19.96) 1.12 (0.19, 6.61) 2.82 (0.44, 18.39) 4.50 (0.34, 62.09) 2.20 (0.32, 15.19) 3.63 (0.52, 25.16) JI + FOLFOX 1.11 (0.31, 3.89) 0.33 (0.064, 1.57) 0.11 (0.0033, 1.33) 0.67 (0.11, 4.21) 0.35 (0.064, 1.86) 0.45 (0.082, 2.42) 0.54 (0.12, 2.44)
0.86 (0.13, 5.79) 0.32 (0.050, 1.92) 0.80 (0.12, 5.34) 1.27 (0.091, 17.85) 0.62 (0.086, 4.41) 1.02 (0.14, 7.28) 0.28 (0.022, 3.54) SM + FOLFOX
1.15 (0.34, 4.07) 0.42 (0.14, 1.28) 1.06 (0.31, 3.79) 1.70 (0.20, 15.7) 0.83 (0.22, 3.18) 1.36 (0.37, 5.29) 0.38 (0.048, 3.06) 1.34 (0.17, 11.44) KLT + FOLFOX 0.29 (0.076, 1.09) 0.099 (0.0032, 1.00) 0.61 (0.12, 3.01) 0.31 (0.073, 1.32) 0.41 (0.094, 1.73) 0.49 (0.15, 1.65)
1.18 (0.18, 7.94) 0.43 (0.069, 2.63) 1.09 (0.16, 7.36) 1.74 (0.13, 24.34) 0.85 (0.12, 6.06) 1.40 (0.19, 9.96) 0.39 (0.030, 4.84) 1.37 (0.10, 17.99) 1.03 (0.12, 8.31) LI + FOLFOX 0.33 (0.0097, 4.32) 2.09 (0.31, 13.89) 1.06 (0.18, 6.08) 1.39 (0.24, 8.11) 1.66 (0.36, 7.95)
HCS + FOLFOX 6.33 (0.42, 226.1) 3.18 (0.24, 112.6) 4.16 (0.29, 149.7) 4.97 (0.42, 172.5)
2.18 (0.26, 18.23) 0.80 (0.10, 6.16) 2.01 (0.24, 17.11) 3.22 (0.20, 53.11) 1.57 (0.18, 13.89) 2.57 (0.29, 22.94) 0.71 (0.048, 10.69) 2.53 (0.17, 39.15) 1.89 (0.18, 18.93) 1.85 (0.12, 28.69) XAP + FOLFOX 0.51 (0.071, 3.65) 0.67 (0.092, 4.87) 0.80 (0.13, 4.95)
DLS + FOLFOX 1.31 (0.21, 8.24) 1.55 (0.30, 8.29)
1.37 (0.19, 9.70) 0.50 (0.076, 3.24) 1.26 (0.18, 9.02) 2.01 (0.14, 29.39) 0.98 (0.13, 7.4) 1.61 (0.21, 12.19) 0.45 (0.033, 5.92) 1.59 (0.12, 21.59) 1.18 (0.13, 10.15) 1.15 (0.085, 15.68) 0.63 (0.039, 10.02) AI + FOLFOX 1.19 (0.23, 6.45)
0.92 (0.14, 5.81) 0.33 (0.057, 1.91) 0.84 (0.13, 5.34) 1.35 (0.10, 18.02) 0.66 (0.095, 4.42) 1.08 (0.16, 7.31) 0.30 (0.024, 3.61) 1.06 (0.085, 13.33) 0.79 (0.098, 6.08) 0.78 (0.062, 9.65) 0.42 (0.028, 6.11) 0.67 (0.051, 8.64) AP + FOLFOX

Abbreviations: OR, odds ratio; CI, confidence interval; AD, Aidi injection; AI, Astragalus injection; AP, Astragalus polysaccharides injection; CM, Compound matrine injection; DLS, Delisheng injection; FOLFOX, FOLFOX regimen; JI, Javanica oil emulsion injection; HCS, Huachansu injection; KA, Kangai injection; KLT, Kanglaite injection; LI, Lentinan injection; SF, Shenfu injection; SM, Shenmai injection; SQFZ, Shenqifuzheng injection; XAP, Xiaoaiping injection.

A total of 45 RCTs presented data about nausea and vomiting: Compound matrine + FOLFOX, Aidi + FOLFOX, Kangai + FOLFOX were associated with a substantially relieving nausea and vomiting over the FOLFOX regimen; these between-group differences were statistically significant, with ORs and 95% CIs of 2.74 (1.53, 4.95), 0.40 (0.22, 0.72), 0.40 (0.22, 0.72), respectively.

SUCRA Values of CHIs Groups for Outcomes

As illustrated in Figure 4, according to the calculated probabilities, Delisheng (83.49%), Xiaoaiping (81.94%), and Compound matrine (69.25%) yielded higher probabilities of improving clinical effectiveness rate among CHIs groups (Figure 4A), and Aidi (76.57%), Xiaoaiping (75.6%), and Lentinan (58.03%) seemed to be the optimal choices for improving performance status (Figure 4B). With regard to ADRs, Huachansu (85.3%), Aidi (77.29%), and Compound matrine (75.75%) possessed higher probability of relieving leukopenia (Figure 4C), and Shenfu (71%), Kangai (69.37%), and Shenmai (63.57%) possessed higher probability of nausea and vomiting across different CHIs groups (Figure 4D). The SUCRA values of each CHIs group for outcomes are listed in Table 4.

Figure 4.

Figure 4.

Rank of the cumulative probabilities for outcomes: (A) the clinical effectiveness rate; (B) performance status; (C) leukopenia; (D) nausea and vomiting.

Table 4.

SUCRA Values of Different Groups for Outcomes.

The Clinical Effectiveness Rate Performance Status Leukopenia Nausea and Vomiting
CM + FOLFOX 69.25% 51.5% 75.75% 61.6%
FOLFOX 10.05% 1.752% 19.53% 14.5%
AD + FOLFOX 38.88% 76.57% 77.29% 57.06%
SF+ FOLFOX 71%
SQFZ + FOLFOX 50.73% 44.63% 52.79% 44.44%
KA + FOLFOX 32.22% 56.24% 74.73% 69.37%
SM + FOLFOX 35.79% 63.57%
JI + FOLFOX 44.55% 0% 16.32% 20.72%
KLT + FOLFOX 56.85% 45.91% 10.29% 53.78%
LI + FOLFOX 28.38% 58.03% 61.37% 52.43%
HCS + FOLFOX 68.05% 85.3%
XAP + FOLFOX 81.94% 75.6% 32.1% 32.46%
DLS + FOLFOX 83.49% 53.98% 58.36%
AI + FOLFOX 35.6% 47.2% 47.3%
AP + FOLFOX 38.96% 61.76%

Note: The values in boldface indicate the top 3 interventions with higher SUCRAs for different outcomes.

Abbreviations: AD, Aidi injection; AI, Astragalus injection; AP, Astragalus polysaccharides injection; CM, Compound matrine injection; DLS, Delisheng injection; FOLFOX, FOLFOX regimen; JI, Javanica oil emulsion injection; HCS, Huachansu injection; KA, Kangai injection; KLT, Kanglaite injection; LI, Lentinan injection; SF, Shenfu injection; SM, Shenmai injection; SQFZ, Shenqifuzheng injection; XAP, Xiaoaiping injection.

Cluster Analysis

First, a cluster analysis was performed for 8 types of CHIs that reported the clinical effectiveness rate and performance status simultaneously. The plot is based on SUCRA values of CHI groups; each color represents a group of treatment groups that belong to the same cluster, and treatment groups that are located in the upper right corner were superior to other CHIs for both the clinical effectiveness rate and performance status. The results of the cluster analysis demonstrated that Xiaoaiping, Delisheng, and Compound matrine had better therapeutic effects. Aidi, Lentinan, and Kangai were associated with a significant improvement in performance status. In contrast, the FOLFOX regimen alone had the worst comprehensive rank of the examined regimens (Figure 5E). Second, a cluster analysis was conducted for 11 types of CHIs in terms of ADRs (Figure 5F). Kangai, Compound matrine, and Aidi injection might be the tolerable options for relieving ADRs. Taken together, the analysis results indicated that Compound matrine injection was the most beneficial option for treatment of CRC in combination with the FOLFOX regimen to balance efficacy and safety.

Figure 5.

Figure 5.

Cluster analysis plots: (E) the clinical effectiveness rate (x-axis) and performance status (y-axis); (F) leukopenia (x-axis) and nausea and vomiting (y-axis).

Publication Bias and Sensitivity Analysis

Publication bias and small-sample effects of included RCTs were measured by funnel plots (Figure 6), Begg’s test, and Egger’s test. For the clinical effectiveness rate, since the results of Begg’s (z = 0.67, P = .520 > .05) and Egger’s tests (t = 3.51, P = .001 < .05) were inconsistent, we first cut the included RCTs in unsymmetrical parts after the initial funnel plot. Using the symmetric remaining part to estimate center value of the funnel plot, and then along the center sides made up the sheared and missing part. Ultimately, based on the funnel plot after patched estimate of the actual value of the combined effect, the number of RCTs increased, suggesting that there was an absence of RCTs without qualitative change in the result. Thus, the included RCTs in the present NMA had a certain publication bias.

Figure 6.

Figure 6.

Funnel plots of outcomes: (A) the clinical effectiveness rate; (B) performance status; (C) leukopenia; (D) nausea and vomiting.

Moreover, sensitivity analysis was conducted by excluding each trial individually from the present study; the corresponding results of current study were relatively robust.

Subgroup Analysis

For the outcome of the clinical effectiveness rate, subgroup analysis was stratified by the pathological type and KPSs to detect potential sources of heterogeneity (Table 5). Regarding patients with different pathological types, those with NR (OR = 1.33, 95% CI = 1.24-1.43, P < 0.001, I2 = 38.4) and advanced (OR = 1.35, 95% CI = 1.22-1.51, P < 0.001, I2 = 20.5) had similar trends after receiving CHIs combined TACE. Additionally, among patients with different KPS, there also were no significant differences across the different KPS subgroups.

Table 5.

The Results of Subgroup Analysis for the Clinical Effectiveness Rate.

Subgroups Number of RCTs Number of Participants OR 95% CI P I2 (%)
Overall 50 4072 1.34 1.26-1.42 <.001 32.7
Pathological type NR 34 2694 1.33 1.24-1.43 <.001 38.4
Advanced 16 1378 1.35 1.22-1.51 <.001 20.5
KPS NR 27 2022 1.33 1.22-1.44 <.001 24.7
≥60 14 1160 1.44 1.26-1.64 <.001 0.0
≥70 9 890 1.28 1.15-1.43 <.001 66.1

Abbreviations: RCT, randomized control trial; OR, odds ratio; CI, confidence interval; KPS, Karnofsky performance score; NR, not reported.

Discussion

For the comparative efficacy and safety of different CHIs combined with CRC against CRC, we adopted the approach of NMA for analyzing the overwhelming evidence in published RCTs. In summary, the results of the present NMA indicated that the FOLFOX regimen combined with Delisheng, Kanglaite, Shenqifuzheng, or Aidi injections could improve clinical effects compared with the FOLFOX regimen alone and that the FOLFOX regimen combined with Delisheng, Xiaoaiping, Lentinan, Kangai, Shenqifuzheng, or Aidi injections could improve performance status. In terms of ADRs, Compound matrine, Aidi, Shenqifuzheng, and Kangai injection could relieve leukopenia better than receiving the FOLFOX regimen alone. And Compound matrine, Aidi, and Kangai injection could relieve nausea and vomiting over the FOLFOX regimen. Statistically significant differences were observed between these groups. Furthermore, according to the results of cluster analysis, Compound matrine injection combined with the FOLFOX regimen against CRC might be the most favorable option in consideration of both effectiveness and safety.

It has been over 3 decades since Compound matrine injection was approved for treating cancer by the State Food and Drug Administration of China. Compound matrine injection contains anticancer components from Rhizoma Heterosmilacis Japonicae and Sophora flavescens, and it possesses the functions of blood-cooling and toxin-relieving, heat-clearing and damp-inhibiting, stagnation-eliminating, and pain-relieving in TCM theory, which might be correlative to the therapeutic principle and method of tumors in TCM theory.5,93 On the one hand, the relevant pharmacological research has indicated that its primary components, matrine and oxymatrine, can effectively reduce tumor growth of tumor.94 For example, matrine may achieve the therapeutic benefits on CRC via inhibition of HMGB1 signaling through downregulation of IL-6, TNF-α, and HMGB1.95 Additionally, oxymatrine could stimulate lncRNA MALAT1 to enhanced migration and invasion of cells for CRC patients.96 And oxymatrine is associated with inhibition of TGF-β1/Smad signaling pathway activation and reducing P38-dependent increased expression of PAI-1 to alleviate CRC.97 On the other hand, it is reported that a Sophora flavescens–containing formula could elicit anti-inflammatory and anti-oxidative stress response in vitro in a cell line and in vivo in colitis mouse model that may contribute to the overall anticolon cancer effects.98 And it has been reported in a meta-analysis that Compound matrine injection could relieve cancer-related pain.99 Also, our results confirm the efficacy and safety of Compound matrine injection combined with the FOLFOX regimen against CRC compared with other types of CHIs by network meta-analysis. Nevertheless, there is lack of research to validate the anticancer mechanism for Compound matrine injection against CRC. Overall, it is warranted to elucidate and confirm the efficacy of Compound matrine injection against CRC using pharmacological, bioinformatics, and genomic approaches, and clinical trials in the future.

Currently, TCM has been applied in multifaceted approaches and plays an indispensable role in the prevention and treatment of cancer owing to its unique treatment concepts, theory, methods, and basic and clinical research.5,100 Compared to TCM decoctions, CHIs has the advantages of higher bioavailability and faster absorption.101 The antitumor effectiveness of CHIs, such as Javanica oil emulsion, Huachansu, and Delisheng, mainly involved shrinking the tumor along with amelioration of symptoms, thereby improving the performance status.102-105 The Delisheng injection, which is mainly composed of Venenum Bufonis, Cantharis, Ginseng, and Astragalus, has been applied in the treatment of tumors for more than 10 years. Its composition not only reflects the TCM therapeutic principle of strengthening the body’s resistance and eliminating evil but also integrates the principles of curing the disease, protecting the body, and improving immunity.106,107 Correlative studies have reported that the anticancer functions of Aidi injection covering heat-clearing and detoxifying effects. It can be employed in multitargeted therapy to promote the apoptosis of tumor cells and strengthen the body’s resistance to eliminate pathogenic factors.108-110 Moreover, validated modern pharmacological research findings have shown that the Kangai injection can improve immune function and inhibit tumor growth and angiogenesis due to its active components, namely, Astragalus saponins, ginsenoside, and matrine.111,112 The Kanglaite injection might influence the secretion of inflammatory cytokines to prevent the occurrence and development of cancer cachexia and induce the apoptosis of cancer cells, reducing the multidrug resistance of tumor cells caused by chemotherapeutics.113-115 In addition, the main ingredients of Compound matrine injection were matrine and oxymatrine, and they could exhibit a variety of pharmacological activities, including anti-allergic, anti-viral, anti-fibrotic, and anti-inflammatory effects.116-118 Clinical observation has confirmed that the Xiaoaiping injection reduces toxicity and enhances treatment efficacy and can be combined with cytotoxic chemotherapeutic drugs.119-121

The common intervention evaluated in our study was the FOLFOX regimen; this restriction is to avoid potential interference caused by the different chemotherapeutic drugs in clinics. In addition, although a relevant network meta-analysis has been published, our study had several strengths.122 This study comprehensively retrieved the 21 types of CHIs widely used in clinical treatment and formulated strict inclusion criteria. Furthermore, our study not only analyzed the clinical effect and improvement of performance status for the included 12 types of CHIs but also conducted a cluster analysis of the SUCRA values to identify which TCM injection was most effective in combination with the FOLFOX regimen for the treatment of CRC.

Nevertheless, the present NMA also had several limitations. The included RCTs were performed in patients of Asian descent and there were only several included trials describing the information of CRC patients with metastatic disease; therefore, it is unclear whether the conclusions of our study was applied to other populations or patients with metastatic disease. The reliability of our study was limited by the sample size, methodological quality, and other factors of the included trials, especially for some types of CHIs. For Lentinan, Xiaoxaiping, and Delishen injection, in fact, only one clinical trial was enrolled in present study; therefore, further clinical or pharmacological research on the effects of different CHIs is necessary to support our findings. Furthermore, the survival time or survival rate were regarded as important in judging therapeutic effect of patients with cancer; however, most of the included trials in our study did not report the survival time or survival rate. Therefore, we suggest that the clinical trials of patients with cancer should focus on more meaningful endpoints. Third, no direct head-to-head comparison was conducted between different CHIs. Although CHIs are in clinical application with the adjuvant FOLFOX regimen for treating CRC in China, CHIs are not used as common drugs of conventional cancer treatment in some countries. Additionally, the majority of RCTs included in the study exhibited a relatively high risk of bias, largely in inadequate allocation concealment and blinding. The methodological quality of included RCTs was closely associated to the credibility of evaluation results in a systematic review. For this reason, we suggest that the clinical trials should pay attention to improving the methodological quality in order to support and promote rational use of CHIs. Although the placebo controls would add greatly to the credibility of the findings, there is lack of placebo-controlled trials or direct head-to-head comparisons between different CHIs to provide high-quality evidence-based medical research and verify our findings. Despite the above limitations, our network meta-analysis provides a complete evaluation of the clinical effect and improvement in performance status of different CHIs for CRC patients.

Conclusion

In general, our NMA provides strong evidence supporting different CHIs for CRC patients. Among different types of CHIs, the combination of Compound matrine injection and FOLFOX regimen was associated with more preferable and beneficial options compared with other CHIs groups. Nevertheless, future RCTs that are better designed and large, randomized, controlled, head-to-head trials are needed to confirm these conclusions, particularly in other ethnic groups.

Supplemental Material

Supplementary_part_1 – Supplemental material for Network Meta-Analysis of Chinese Herbal Injections Plus the FOLFOX Regimen for the Treatment of Colorectal Cancer in China

Supplemental material, Supplementary_part_1 for Network Meta-Analysis of Chinese Herbal Injections Plus the FOLFOX Regimen for the Treatment of Colorectal Cancer in China by Dan Zhang, Jiarui Wu, Xiaojiao Duan, Kaihuan Wang, Mengwei Ni, Shuyu Liu, Xiaomeng Zhang, Bing Zhang and Yi Zhao in Integrative Cancer Therapies

Supplementary_part_2_EDITS – Supplemental material for Network Meta-Analysis of Chinese Herbal Injections Plus the FOLFOX Regimen for the Treatment of Colorectal Cancer in China

Supplemental material, Supplementary_part_2_EDITS for Network Meta-Analysis of Chinese Herbal Injections Plus the FOLFOX Regimen for the Treatment of Colorectal Cancer in China by Dan Zhang, Jiarui Wu, Xiaojiao Duan, Kaihuan Wang, Mengwei Ni, Shuyu Liu, Xiaomeng Zhang, Bing Zhang and Yi Zhao in Integrative Cancer Therapies

Supplementary_part_3_EDITS – Supplemental material for Network Meta-Analysis of Chinese Herbal Injections Plus the FOLFOX Regimen for the Treatment of Colorectal Cancer in China

Supplemental material, Supplementary_part_3_EDITS for Network Meta-Analysis of Chinese Herbal Injections Plus the FOLFOX Regimen for the Treatment of Colorectal Cancer in China by Dan Zhang, Jiarui Wu, Xiaojiao Duan, Kaihuan Wang, Mengwei Ni, Shuyu Liu, Xiaomeng Zhang, Bing Zhang and Yi Zhao in Integrative Cancer Therapies

Supplementary_part_4 – Supplemental material for Network Meta-Analysis of Chinese Herbal Injections Plus the FOLFOX Regimen for the Treatment of Colorectal Cancer in China

Supplemental material, Supplementary_part_4 for Network Meta-Analysis of Chinese Herbal Injections Plus the FOLFOX Regimen for the Treatment of Colorectal Cancer in China by Dan Zhang, Jiarui Wu, Xiaojiao Duan, Kaihuan Wang, Mengwei Ni, Shuyu Liu, Xiaomeng Zhang, Bing Zhang and Yi Zhao in Integrative Cancer Therapies

Footnotes

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The current research was supported by the National Nature Science Foundation of China (No. 81473547; No. 81673829).

Supplemental Material: Supplemental material for this article is available online.

References

  • 1. Vogelaar I, van Ballegooijen M, Schrag D, et al. How much can current interventions reduce colorectal cancer mortality in the US? Mortality projections for scenarios of risk-factor modification, screening, and treatment. Cancer. 2006;107(7):1624-1633. [DOI] [PubMed] [Google Scholar]
  • 2. Chen W, Zheng R, Baade PD, et al. Cancer statistics in China, 2015. CA Cancer J Clin. 2016;66(2):115-132. [DOI] [PubMed] [Google Scholar]
  • 3. Siegel R, DeSantis C, Jemal A. Colorectal cancer statistics, 2014. CA Cancer J Clin. 2014;64(2):104-117. [DOI] [PubMed] [Google Scholar]
  • 4. Chinese Medical Association Tumor Branch; National Health and Family Planning Commission People’s Republic of China: the guideline for diagnosis and treatment of colorectal cancer (2015 edition). Chin J Pract Surg. 2015;35:1177-1191. [Google Scholar]
  • 5. Li W, Li C, Zheng H, Chen G, Hua B. Therapeutic targets of traditional Chinese medicine for colorectal cancer. J Tradit Chin Med. 2016;36(2):243-249. [DOI] [PubMed] [Google Scholar]
  • 6. Tsai SJ, Ruan YX, Lee CC, et al. Use of Chinese medicine among colorectal cancer patients: a nationwide population-based study. Afr J Tradit Complement Altern Med. 2014;11(2):343-349. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Shi J, Wei PK. Eight therapies of resolving phlegm and dispersing nodules in treatment of gastric cancer: experience from Professor Wei Pin-kang. Zhong Xi Yi Jie He Xue Bao. 2011;9(10):1066-1069. [DOI] [PubMed] [Google Scholar]
  • 8. Zhong LL, Chen HY, Cho WC, Meng XM, Tong Y. The efficacy of Chinese herbal medicine as an adjunctive therapy for colorectal cancer: a systematic review and meta-analysis. Complement Ther Med. 2012;20(4):240-252. [DOI] [PubMed] [Google Scholar]
  • 9. Guo Z, Jia X, Liu JP, Liao J, Yang Y. Herbal medicines for advanced colorectal cancer. Cochrane Database Syst Rev. 2012;(5):CD004653. [DOI] [PubMed] [Google Scholar]
  • 10. Jiang M, Jiao Y, Wang Y, et al. Quantitative profiling of polar metabolites in herbal medicine injections for multivariate statistical evaluation based on independence principal component analysis. PLoS One. 2014;9(8):e105412. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Wang M, Liu CX, Dong RR, et al. Safety evaluation of Chinese medicine injections with a cell imaging-based multiparametric assay revealed a critical involvement of mitochondrial function in hepatotoxicity. Evid Based Complement Alternat Med. 2015;2015:379586. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Cheng F, Liu Z. Safety evaluation of traditional Chinese medicine injections and study of related key technology. Zhongguo Zhong Yao Za Zhi. 2009;34(8):1052-1054. [PubMed] [Google Scholar]
  • 13. Zhang D, Wu J, Liu S, Zhang X, Zhang B. Network meta-analysis of Chinese herbal injections combined with the chemotherapy for the treatment of pancreatic cancer. Medicine (Baltimore). 2017;96(21):e7005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Zhao HY, Zhou HY, Wang YT, et al. Assessment on the efficacy and safety of Aidi injection combined with vinorelbine and cisplatin for treatment of advanced nonsmall cell lung cancer. Chin Med J (Engl). 2016;129(6):723-730. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Qi F, Li A, Inagaki Y, et al. Chinese herbal medicines as adjuvant treatment during chemo- or radio-therapy for cancer. Biosci Trends. 2010;4(6):297-307. [PubMed] [Google Scholar]
  • 16. Konkimalla VB, Efferth T. Evidence-based Chinese medicine for cancer therapy. J Ethnopharmacol. 2008;116(2):207-210. [DOI] [PubMed] [Google Scholar]
  • 17. Salanti G, Del Giovane C, Chaimani A, Caldwell DM, Higgins JP. Evaluating the quality of evidence from a network meta-analysis. PLoS One. 2014;9(7):e99682. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Zhang J, Carlin BP, Neaton JD, et al. Network meta-analysis of randomized clinical trials: reporting the proper summaries. Clin Trials. 2014;11(2):246-262. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Bucher HC, Guyatt GH, Griffith LE, Walter SD. The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials. J Clin Epidemiol. 1997;50(6):683-691. [DOI] [PubMed] [Google Scholar]
  • 20. Department of Medical Administration of Ministry of Health of the People’s Republic of China. Guideline of Normal Cancer Diagnosis and Treatment in China. 9th Branch. Main Measurement Indexes and Statistical Methods in Normal Cancer in China. Beijing, China: Beijing Medical University; China Union Medical University Press; 1991. [Google Scholar]
  • 21. Higgins JPT, Green S. Cochrane handbook for systematic reviews of interventions. Version 5.1.0 [updated March 2011]. Cochrane Collaboration. http://handbook-5-1.cochrane.org/. Accessed January 17, 2019.
  • 22. Moher D, Hopewell S, Schulz KF, et al. CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials. BMJ. 2010;340:c869. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Dias S, Welton NJ, Sutton AJ, Caldwell DM, Lu G, Ades AE. Evidence synthesis for decision making 4: inconsistency in networks of evidence based on randomized controlled trials. Med Decis Making. 2013;33(5):641-656. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Mills EJ, Thorlund K, Ioannidis JP. Demystifying trial networks and network meta-analysis. BMJ. 2013;346:f2914. [DOI] [PubMed] [Google Scholar]
  • 25. Youdom SW, Tahar R, Basco LK. Comparison of anti-malarial drugs efficacy in the treatment of uncomplicated malaria in African children and adults using network meta-analysis. Malar J. 2017;16(1):311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Chaimani A, Higgins JP, Mavridis D, Spyridonos P, Salanti G. Graphical tools for network meta-analysis in STATA. PLoS One. 2013; 8(10):e76654. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Rücker G, Schwarzer G. Ranking treatments in frequentist network meta-analysis works without resampling methods. BMC Med Res Methodol. 2015;15:58. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Trinquart L, Attiche N, Bafeta A, Porcher R, Ravaud P. Uncertainty in treatment rankings: reanalysis of network meta-analyses of randomized trials. Ann Intern Med. 2016;164(10):666-673. [DOI] [PubMed] [Google Scholar]
  • 29. Hamra G, MacLehose R, Richardson D. Markov chain Monte Carlo: an introduction for epidemiologists. Int J Epidemiol. 2013;42(2):627-634. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Katsanos K, Spiliopoulos S, Karunanithy N, Krokidis M, Sabharwal T, Taylor P. Bayesian network meta-analysis of nitinol stents, covered stents, drug-eluting stents, and drug-coated balloons in the femoropopliteal artery. J Vasc Surg. 2014;59(4):1123-1133. [DOI] [PubMed] [Google Scholar]
  • 31. Dias S, Sutton AJ, Welton NJ, Ades AE. Heterogeneity: Subgroups, Meta-Regression, bias and Bias-Adjustment. London, England: National Institute for Health and Care Excellence; 2012. [PubMed] [Google Scholar]
  • 32. White IR, Barrett JK, Jackson D, Higgins JP. Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression. Res Synth Methods. 2012;3(2):111-125. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Zhao JC, Shu P. Clinical study on compound Sophora flauescens Ait combined with chemotherapy for colorectal cancer. J Clin Med Pract. 2012;16(11):101-103. [Google Scholar]
  • 34. Dong WH, Su CY, Chen JB, et al. Clinical Study of compound Kushen combined with chemotherapy in the treatment of metastatic colon cancer. J Hebei Med. 2016;22(2):293-294. [Google Scholar]
  • 35. Hu YC. Clinical observation of compound Kushen injection combined with FOLFOX4 regimen in the treatment of advanced colorectal cancer. Guide China Med. 2012;30:595-596. [Google Scholar]
  • 36. Liao GQ, Qu YM, Liu PH, et al. Compound matrine injection in combination with FOLFOX-4 regimen for advanced colorectal cancer: a clinical study. Eval Anal Drug-Use Hosp China. 2009;9(3):207-208. [Google Scholar]
  • 37. Yan Q, Liu QH, Yin YF. Curative effect of compound Kushen injection combined with oxaliplatin in the treatment of rectal cancer. Modern J Integr Tradit Chin West Med. 2015;24(31):3488-3489. [Google Scholar]
  • 38. Kang T, Liu M, Duan W. Effect of compound Kushen injection combined with conventional chemotherapy on colon cancer. People’s Milit Surg. 2015;11:1336-1337. [Google Scholar]
  • 39. Gao JF, Feng G. 40 cases of advanced colon cancer treated by compound Kushen injection combined with chemotherapy. China Pharm. 2014;24:103-105. [Google Scholar]
  • 40. Liu KH, Wang YZ, Su H. Curative effect of compound matrine injection combined with chemotherapy on advanced colorectal cancer. Henan J Surg. 2014;20(4):39-41. [Google Scholar]
  • 41. Xi R. Clinical study on treating advanced colorectal cancer with compound Kushen injection plus chemotherapy. J Med Forum. 2011;32(14):52-54. [Google Scholar]
  • 42. Tao CL, Xu JF. Clinical observation on 74 cases of advanced colon cancer treated by Compound Kushen injection combined with chemotherapy. Guid J Tradit Chinese Med Pharm. 2013;11:42-44. [Google Scholar]
  • 43. Kuang YM, Chen XB, Wang S. A clinical study on compound Kushen injection combined with chemotherapy for advanced colorectal cancer. Clin Med. 2007;27(8):35-37. [Google Scholar]
  • 44. Liu XG. Feasibility Analysis of compound Kushen injection combined with chemotherapy for advanced colon cancer. Chin J Modern Drug Appl. 2014;19:150-151. [Google Scholar]
  • 45. Fang XG, Zhang KS. Analysis on the clinic effects of compound Sophora flavescens injection plus chemotherapy on terminal colorectal cancer. Chemother Terminal Colorectal Cancer. 2012;4:293-295. [Google Scholar]
  • 46. Wang HM, Liu SX, Liao GQ. Efficacy of compound radix Sophorae flavescentis injection combined with chemotherapy for advanced colon carcinoma. Eval Anal Drug-Use Hosp China. 2010;10(15):461-462. [Google Scholar]
  • 47. Li D, Zhang QH, Wu S, et al. Clinical study of compound Sophora flavescens injection combined with chemotherapy in the treatment of advanced colon cancer. Liaoning J Tradit Chin Med. 2015;5:1021-1022. [Google Scholar]
  • 48. Zhu YS. Clinical study of compound Sophora flavescens injection combined with chemotherapy in the treatment of metastatic colorectal cancer. J Clin Med Lit. 2016;3(3):517-518. [Google Scholar]
  • 49. Gao W, Li HY, Dang Q. Observation on curative effect of compound Sophora flavescens injection combined with chemotherapy in the treatment of metastatic colorectal cancer. Shandong Med J. 2010;41:85-86. [Google Scholar]
  • 50. Wei H, Wang C, Ma D. Compound Sophora flavescens injection combined with chemotherapy for colorectal cancer and its effect on prognosis. Shaanxi J Tradit Chin Med. 2015;36:446-448. [Google Scholar]
  • 51. Yu GY, Jia Z, Chen X. Efficacy of compound matrine injection combined with chemotherapy in treatment of 76 cases with advanced colorectal cancer. Chin Pract Med. 2014;5(9):154-155. [Google Scholar]
  • 52. Wang JY, Cui X, Du Y. Clinical observation of compound matrine injection combined with chemotherapy in treatment of patients with advanced colorectal cancer. Chin J Modern Drug Appl. 2011;9(5):146-147. [Google Scholar]
  • 53. Xu L. Clinical efficacy of compound matrine injection combined with chemotherapy in the treatment of patients with advanced colon cancer. Contemp Med Forum. 2014;9(11):38-39. [Google Scholar]
  • 54. Fu SY, Li S. Clinical observation on the treatment of advanced colorectal cancer with the combination of Yan Shu injection and chemotherapy. Eval Anal Drug-Use Hosp China. 2007;5(7):64-65. [Google Scholar]
  • 55. Zhang ML. Efficacy of compound matrine injection combined with chemotherapy in the treatment of patients with advanced colon cancer. Contemp Med Forum. 2015;11(13):241-242. [Google Scholar]
  • 56. Jiang L. Curative effect observation of compound matrine injection combined with FOLFOX regimen in treatment of colon cancer. Chin Commun Phys. 2016;7(32):103-104. [Google Scholar]
  • 57. Ren H, Sun J, Zhang L. Curative effect observation of compound matrine injection combined with chemotherapy in treatment of colon cancer. China Health Care Nutr. 2014;13(5):2468-2470. [Google Scholar]
  • 58. Li X, Pan Y. Curative effect observation of Aidi injection in adjuvant therapy of colorectal cancer. Zhejiang JITCWM. 2011;32(10):701-703. [Google Scholar]
  • 59. Yu Y, Zhang X. Clinical observation of rectal cancer patients adjunctive therapy with Aidi injection. J New Chin Med. 2016;5(1):162-164. [Google Scholar]
  • 60. Fan S, Peng L. Clinical observation of Aidi injection combined with FOLFOX-4 regimen in treatment of advanced colorectal cancer. China Modern Med. 2010;10(24):76. [Google Scholar]
  • 61. Li HJ, Dong L, Fu SY. Comparative study on treatment of advanced colorectal cancer by Aidi injection combined with FOLFOX4 regimen and by FOLFOX4 regimen alone. Zhongguo Zhong Xi Yi Jie He Za Zhi. 2007;1(27):1086-1089. [PubMed] [Google Scholar]
  • 62. Hai YJ, Cui HJ, Du P. Effect of Aidi injection combined with chemotherapy onlife quality in advanced colorectal cancer patients. Chin J Hosp Pharm. 2011;31(7):1442-1443. [Google Scholar]
  • 63. Liu T, Ma T. Clinical observation of Aidi injection combined with chemotherapy in the treatment of patients with advanced colorectal cancer. Chin J Mis Diagn. 2009;24(31):2849-2850. [Google Scholar]
  • 64. Huang SM, Lin J, Zhu J. Clinical observation of Aidi injection combined with chemotherapy in the treatment of 40 cases with advanced colorectal cancer. Zhejiang J Tradit Chin Med. 2013;7(12):311. [Google Scholar]
  • 65. Huang J, Shen H, Wang Y. Aidi injection combined with L-OHP+5-Fu/LV in the treatment of 30 cases with advanced colorectal cancer. Henan Tradit Chin Med. 2008;31(4):65-66. [Google Scholar]
  • 66. Liang L, Li L, Yang Q. Aidi injection in combination with chemotherapy for treatment of colorectal cancer. J Med Forum. 2010;4(31):94-95. [Google Scholar]
  • 67. Chen LF. Therapeutic effect of Aidi injection in chemotherapy of advanced colon cancer. Chin J Modern Drug Appl. 2013;12(18):166-167. [Google Scholar]
  • 68. Ni BQ, Zhang Z, Chen R. Clinical study on the effect of Shenqifuzheng injection on postoperative chemotherapy in patients with colorectal cancer. Guangxi Med J. 2009;31(5):644-646. [Google Scholar]
  • 69. Song M, Xi S, Liu J. Effects of Shenqi Fuzheng Injection on immune function and toxic reactions in chemotherapy patients after rectum carcinoma resection. Guid J Trad Chin Med Pharm. 2015;18(2):46-48. [Google Scholar]
  • 70. Wang CB. Effect of Shenqifuzheng injection on the tolerance of FOLFOX4 chemotherapy in patients with colorectal cancer. Zhejiang J Trad Chin Med. 2010;5(11):801-802. [Google Scholar]
  • 71. Zou J, Li Z, Ye Y. Observation on the Influence of Shenqifuzheng Injection on immune function and the quality of life of the patients with stage II/III colorectal cancer with chemotherapy. Chin J MAP. 2012;2(8):755-758. [Google Scholar]
  • 72. Ying F, Feng GA. Clinical observation of Shenqi Fuzheng Injection combined with FOLFOX4 regimen in the treatment of advanced colorectal cancer. China Higher Med Educ. 2015;1:150-151. [Google Scholar]
  • 73. Zhao T, Liu Y. Clinical observation of ShenqiFuzheng injection combined with mFOLFOX6 regimen in treatment of advanced colon carcinoma. Chin J Modern Drug Appl. 2011;8(5):16-17. [Google Scholar]
  • 74. Yan F, Zhou Y, Jian P. Effect of Shenqifuzheng injection combined with chemotherapy on immune function in patients with colon cancer after operation. China J Modern Med. 2014;1(24):72-74. [Google Scholar]
  • 75. Huo W, Li Z, Pan X. Observation of efficacy of Shenqi Fuzheng injection combined with chemotherapy in treatment of advanced colorectal cancer. Chin J Clin Oncol Rehab. 2008;24(5):454-456. [Google Scholar]
  • 76. Liang QL, Pan D, Xie J. Clinical study of Shenqifuzheng injection combined with chemotherapy in the treatment of advanced colorectal cancer. Chin J Integr Tradit West Med. 2009;5(29):439-440. [PubMed] [Google Scholar]
  • 77. Guo YH. Clinical observation on chemotherapy combined with Kangai injection in advanced colorectal cancer cancer. Glob Tradit Chin Med. 2015;7(2):30. [Google Scholar]
  • 78. Liang JB, Huang X. Clinical observation of Kangai injection on postoperative patients with colorectal carcinoma. Strait Pharm J. 2015;19(27):139-140. [Google Scholar]
  • 79. Yang YH. Control study of Kangai injection combined with FOLFOX4 regimen in the treatment of advanced colorectal cancer. Fujian Coll Chin Med. 2008;6(23):43-46. [Google Scholar]
  • 80. Lei Z, Li H. Clinical observation of Kangai injection combined with chemotherapy in the treatment of postoperative colorectal cancer patients. Proc Clin Med. 2012;3(6):403-405. [Google Scholar]
  • 81. Xiao B, Cui S, Chen C. Analysis of Kangai injection combined with chemotherapy in treatment of advanced colorectal cancer. Chin J Integr Tradit West Med Dig. 2008;9(3):178-181. [Google Scholar]
  • 82. Qiao JJ, Li F, Qu J. Evaluation of rectal cancer after neoadjuvant chemotherapy with Kangai injection. West Chin Med J. 2013;6(9):1420-1422. [Google Scholar]
  • 83. Fang ZM, Li M. To observe the curative effect and adverse reaction of FOLFOX-4 regimen in the treatment of metastatic colorectal cancer combined with Brucea javanica oil emulsion. Chin J Inform TCM. 2008;11(15):74-75. [Google Scholar]
  • 84. Wen K, Li J. Clinical study of combined therapy of Shen Mai injection combined with FOLFOX regimen in the treatment of colorectal cancer. Shaanxi J Tradit Chin Med. 2015;42(1):3-5. [Google Scholar]
  • 85. Liao YJ, Wang YF. Clinical observation of Kanglaite injection combined with chemotherapy in the treatment of liver metastasis from colorectal cancer. Chin J Cancer Prev Treatment. 2011;18(9):726-727. [Google Scholar]
  • 86. Wang RW. Analysis of Kanglaite injection in treatment of advanced colorectal cancer efficacy and safety. Med Inform. 2015;28(27):206. [Google Scholar]
  • 87. Zhou ZY. Kanglaite injection combined with chemotherapy in the treatment of liver metastasis of colorectal cancer with clinical observation. China Med Pharm. 2012;2(16):37-39. [Google Scholar]
  • 88. Ma Y, Zhao X. Application of Letinous edodes polysaccharides in postoperative adjuvant chemotherapy for patients with colorectal cancer. Chin Arch Tradit Chin Med. 2013;31(3):391-393. [Google Scholar]
  • 89. Huang JL, Liu X. Clinical observation of Huachansu combined with chemotherapy in treatment of metastatic colorectal cancer. J Clin Med. 2012;32(12):56-57. [Google Scholar]
  • 90. Zhang L. Xiaoaiping injection combined with FOLFOX4 regimen in treatment of advanced colorectal cancer in 40 cases. Tradit Chin Med Res. 2012;25(11):14-16. [Google Scholar]
  • 91. Liang SY. Therapeutic effect of Delisheng injection combined with chemotherapy on advanced colon cancer. J Modern Oncol. 2010;18(5):794-795. [Google Scholar]
  • 92. Chen F. Effect of Astragalus injection combined with chemotherapy on the quality of life for patients with advanced colorectal cancer. Hebei J Tradit Chin Med. 2009;25(31):1696-1698. [Google Scholar]
  • 93. Ma Y, Zhang QZ, Wang ZM. Research progress of compound matrine injection. Chin J Exp Tradit Med Formulae. 2012;31(3):342-344. [Google Scholar]
  • 94. Zhao Z, Fan H, Higgins T, et al. Fufang Kushen injection inhibits sarcoma growth and tumor-induced hyperalgesia via TRPV1 signaling pathways. Cancer Lett. 2014;355(2):232-241. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95. Fan H, Jiang C, Zhong B, et al. Matrine ameliorates colorectal cancer in rats via inhibition of HMGB1 signaling and downregulation of IL-6, TNF-α, and HMGB1. J Immunol Res. 2018;2018:5408324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96. Xiong Y, Wang J, Zhu H, Liu L, Jiang Y. Chronic oxymatrine treatment induces resistance and epithelial‑mesenchymal transition through targeting the long non-coding RNA MALAT1 in colorectal cancer cells. Oncol Rep. 2018;39(3):967-976. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 97. Wang X, Liu C, Wang J, Fan Y, Wang Z, Wang Y. Oxymatrine inhibits the migration of human colorectal carcinoma RKO cells via inhibition of PAI-1 and the TGF-β1/Smad signaling pathway. Oncol Rep. 2017;37(2):747-753. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98. Fang R, Wu R, Zuo Q, et al. Sophora flavescens containing-QYJD formula activates Nrf2 anti-oxidant response, blocks cellular transformation and protects against DSS-induced colitis in mouse model. Am J Chin Med. 2018;4:1-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99. Guo YM, Huang YX, Shen HH, et al. Efficacy of compound Kushen injection in relieving cancer-related pain: a systematic review and meta-analysis. Evid Based Complement Alternat Med. 2015;2015:840742. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100. Lin H, Liu J, Zhang Y. Developments in cancer prevention and treatment using traditional Chinese medicine. Front Med. 2015;5(2):127-133. [DOI] [PubMed] [Google Scholar]
  • 101. The State Pharmacopoeia Commission of the People’s Republic of China. Pharmacopoeia of the People’s Republic of China 2005. Beijing, China: China Chemical Industry Press; 2005. [Google Scholar]
  • 102. Yan Z, Zhang B, Huang Y, Qiu H, Chen P, Guo GF. Involvement of autophagy inhibition in Brucea javanica oil emulsion-induced colon cancer cell death. Oncol Lett. 2015;9(3):1425-1431. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103. Liu J, Huang XE, Tian GY, et al. Phase II study on safety and efficacy of Yadanzi® (Javanica oil emulsion injection) combined with chemotherapy for patients with gastric cancer. Asian Pac J Cancer Prev. 2013;14(3):2009-2012. [DOI] [PubMed] [Google Scholar]
  • 104. Dong J, Zhai X, Chen Z, et al. Treatment of huge hepatocellular carcinoma using Cinobufacini injection in transarterial chemoembolization: a retrospective study. Evid Based Complement Alternat Med. 2016;2016:2754542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105. Cui J, Nan KJ, Tian T, Guo YH, Zhao N, Wang L. Chinese medicinal compound Delisheng has satisfactory anti-tumor activity, and is associated with up-regulation of endostatin in human hepatocellular carcinoma cell line HepG2 in three-dimensional culture. World J Gastroenterol. 2007;41:5432-5439. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106. Lu CX, Nan KJ, Nie YL, Hai YN, Jiao M. Delisheng, a Chinese medicinal compound, exerts anti-proliferative and pro-apoptotic effects on HepG2 cells through extrinsic and intrinsic pathways. Mol Biol Rep. 2010;37(7):3407-3412. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107. Wang SH, Wang YC, Nie YL, et al. Antiproliferative activity of the Chinese medicinal compound, Delisheng, compared with Rg3 and gemcitabine in HepG2 cells. Indian J Pharm Sci. 2013;75(5):578-584. [PMC free article] [PubMed] [Google Scholar]
  • 108. Wang T, Nan H, Zhang C, Wang Y, Zhang X, Li Y. Aidi injection combined with FOLFOX4 chemotherapy regimen in the treatment of advanced colorectal carcinoma. J Cancer Res Ther. 2014;10(suppl 1):52-55. [DOI] [PubMed] [Google Scholar]
  • 109. Liu R, Ma R, Yu C, et al. Quantitation of eleven active compounds of Aidi injection in rat plasma and its application to comparative pharmacokinetic study. J Chromatogr B Analyt Technol Biomed Life Sci. 2016;1026:105-113. [DOI] [PubMed] [Google Scholar]
  • 110. Zhang H, Zhou QM, Lu YY, Du J, Su SB. Aidi injection alters the expression profiles of microRNAs in human breast cancer cells. J Tradit Chin Med. 2012;31(1):10-16. [DOI] [PubMed] [Google Scholar]
  • 111. Gu Y, Jiang L, Miao JH, Liang TS, Kan QC, Yang DK. Clinical effects of thermotherapy in combination with intracavitary infusion of traditional Chinese medicine in the treatment of malignant pleural effusion. J Biol Regul Homeost Agents. 2016;30:1023-1028. [PubMed] [Google Scholar]
  • 112. Wu X, Chung VC, Lu P, et al. Chinese herbal medicine for improving quality of life among nonsmall cell lung cancer patients: overview of systematic reviews and network meta-analysis. Medicine (Baltimore). 2016;95:e2410. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113. Huang X, Qin J, Lu S. Kanglaite stimulates anticancer immune responses and inhibits HepG2 cell transplantation-induced tumor growth. Mol Med Rep. 2014;10:2153-2159. [DOI] [PubMed] [Google Scholar]
  • 114. Wang Y, Zhang C, Zhang S, et al. Kanglaite sensitizes colorectal cancer cells to Taxol via NF-κΒ inhibition and connexin 43 upregulation. Sci Rep. 2017;7:1280. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115. Lu Y, Li CS, Dong Q. Chinese herb related molecules of cancer-cell-apoptosis: a minireview of progress between Kanglaite injection and related genes. J Exp Clin Cancer Res. 2008;27:31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116. Wang W, You RL, Qin WJ, et al. Anti-tumor activities of active ingredients in compound Kushen injection. Acta Pharmacol Sin. 2015;36:676-679. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117. Wu L, Wang G, Liu S, et al. Synthesis and biological evaluation of matrine derivatives containing benzo-α-pyrone structure as potent anti-lung cancer agents. Sci Rep. 2016;6:35918. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118. Teramoto H, Yamauchi T, Sasaki S, Higashiyama K. Development of κ opioid receptor agonists by focusing on phenyl substituents of 4-dimethylamino-3-phenylpiperidine derivatives: structure-activity relationship study of matrine type alkaloids. Chem Pharm Bull (Tokyo). 2016;64:420-431. [DOI] [PubMed] [Google Scholar]
  • 119. Li W, Yang Y, Ouyang Z, et al. Xiao-Ai-Ping, a TCM injection, enhances the antigrowth effects of cisplatin on Lewis lung cancer cells through promoting the infiltration and function of CD8(+) T lymphocytes. Evid Based Complement Alternat Med. 2013;2013:879512. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120. Zheng AW, Chen YQ, Fang J, Zhang YL, Jia DD. Xiaoaiping combined with cisplatin can inhibit proliferation and invasion and induce cell cycle arrest and apoptosis in human ovarian cancer cell lines. Biomed Pharmacother. 2017;89:1172-1177. [DOI] [PubMed] [Google Scholar]
  • 121. Huang Z, Wang Y, Chen J, Wang R, Chen Q. Effect of Xiaoaiping injection on advanced hepatocellular carcinoma in patients. J Tradit Chin Med. 2013;33(1):34-38. [DOI] [PubMed] [Google Scholar]
  • 122. Ge L, Wang YF, Tian JH, et al. Network meta-analysis of Chinese herb injections combined with FOLFOX chemotherapy in the treatment of advanced colorectal cancer. J Clin Pharm Ther. 2016;41:383-391. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary_part_1 – Supplemental material for Network Meta-Analysis of Chinese Herbal Injections Plus the FOLFOX Regimen for the Treatment of Colorectal Cancer in China

Supplemental material, Supplementary_part_1 for Network Meta-Analysis of Chinese Herbal Injections Plus the FOLFOX Regimen for the Treatment of Colorectal Cancer in China by Dan Zhang, Jiarui Wu, Xiaojiao Duan, Kaihuan Wang, Mengwei Ni, Shuyu Liu, Xiaomeng Zhang, Bing Zhang and Yi Zhao in Integrative Cancer Therapies

Supplementary_part_2_EDITS – Supplemental material for Network Meta-Analysis of Chinese Herbal Injections Plus the FOLFOX Regimen for the Treatment of Colorectal Cancer in China

Supplemental material, Supplementary_part_2_EDITS for Network Meta-Analysis of Chinese Herbal Injections Plus the FOLFOX Regimen for the Treatment of Colorectal Cancer in China by Dan Zhang, Jiarui Wu, Xiaojiao Duan, Kaihuan Wang, Mengwei Ni, Shuyu Liu, Xiaomeng Zhang, Bing Zhang and Yi Zhao in Integrative Cancer Therapies

Supplementary_part_3_EDITS – Supplemental material for Network Meta-Analysis of Chinese Herbal Injections Plus the FOLFOX Regimen for the Treatment of Colorectal Cancer in China

Supplemental material, Supplementary_part_3_EDITS for Network Meta-Analysis of Chinese Herbal Injections Plus the FOLFOX Regimen for the Treatment of Colorectal Cancer in China by Dan Zhang, Jiarui Wu, Xiaojiao Duan, Kaihuan Wang, Mengwei Ni, Shuyu Liu, Xiaomeng Zhang, Bing Zhang and Yi Zhao in Integrative Cancer Therapies

Supplementary_part_4 – Supplemental material for Network Meta-Analysis of Chinese Herbal Injections Plus the FOLFOX Regimen for the Treatment of Colorectal Cancer in China

Supplemental material, Supplementary_part_4 for Network Meta-Analysis of Chinese Herbal Injections Plus the FOLFOX Regimen for the Treatment of Colorectal Cancer in China by Dan Zhang, Jiarui Wu, Xiaojiao Duan, Kaihuan Wang, Mengwei Ni, Shuyu Liu, Xiaomeng Zhang, Bing Zhang and Yi Zhao in Integrative Cancer Therapies


Articles from Integrative Cancer Therapies are provided here courtesy of SAGE Publications

RESOURCES