Retrospective Cohort Study Open Access
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Oncol. Mar 15, 2024; 16(3): 716-731
Published online Mar 15, 2024. doi: 10.4251/wjgo.v16.i3.716
Chinese herbal medicine decreases incidence of hepatocellular carcinoma in diabetes mellitus patients with regular insulin management
Hsiang-Chun Lai, Graduate Institute of Chinese Medicine, School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung 404328, Taiwan
Ju-Chien Cheng, Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung 404, Taiwan
Hei-Tung Yip, Management Office for Health Data, China Medical University Hospital, Taichung 404327, Taiwan
Long-Bin Jeng, Organ Transplantation Center, China Medical University Hospital, Taichung 40447, Taiwan
Sheng-Teng Huang, Department of Chinese Medicine, China Medical University Hospital; School of Chinese Medicine, China Medical University, Taichung 40447, Taiwan
ORCID number: Hsiang-Chun Lai (0000-0001-7885-619X); Ju-Chien Cheng (0000-0001-6238-313X); Hei-Tung Yip (0000-0003-4077-3473); Long-Bin Jeng (0000-0002-2928-4698); Sheng-Teng Huang (0000-0002-7495-6115).
Author contributions: Lai HC contributed to conceptualization, methodology, writing - original draft; Cheng JC contributed to resources, investigation, validation, editing; Yip HT contributed to software, formal analysis, visualization; Jeng LB contributed to resources, supervision, editing; Huang ST contributed to methodology, writing-reviewing and editing, project administration, funding acquisition.
Supported by the National Science and Technology Council of Taiwan, No. NSC112-2320-B-039-045-; China Medical University Hospital, No. DMR-111-013, No. DMR-111-195, No. DMR-112-004 and No. DMR-112-177; and Department of Chinese Medicine and Pharmacy and Ministry of Health and Welfare, No. MOHW-112-CMC-03.
Institutional review board statement: This study was approved by the Institutional Review Board of China Medical University Hospital Research Ethics Committee, No. CMUH109-REC2-031 (CR-3).
Informed consent statement: In the study, all available data were extracted from NHIRD. All records and personal information were anonymized prior to analysis, thus the requirement for written informed consent was waived.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: The datasets generated for this study are available upon request by the corresponding authors at sheng.teng@yahoo.com.
STROBE statement: The authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-checklist of items.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Sheng-Teng Huang, MD, PhD, Doctor, Professor, Department of Chinese Medicine, China Medical University Hospital; School of Chinese Medicine, China Medical University, No. 2 Yude Road, North District, Taichung 40447, Taiwan. sheng.teng@yahoo.com
Received: October 10, 2023
Peer-review started: October 10, 2023
First decision: December 6, 2023
Revised: December 31, 2023
Accepted: February 1, 2024
Article in press: February 1, 2024
Published online: March 15, 2024
Processing time: 153 Days and 18.1 Hours

Abstract
BACKGROUND

Type 2 diabetes mellitus (DM) is an independent risk factor for hepatocellular carcinoma (HCC), while insulin is a potent mitogen. Identifying a new therapeutic modality for preventing insulin users from developing HCC is a critical goal for researchers.

AIM

To investigate whether regular herbal medicine use can decrease HCC risk in DM patients with regular insulin control.

METHODS

We used data acquired from the Taiwanese National Health Insurance research database between 2000 and 2017. We identified patients with DM who were prescribed insulin for > 3 months. The herb user group was further defined as patients prescribed herbal medication for DM for > 3 months per annum during follow-up. We matched the herb users to nonusers at a 1:3 ratio according to age, sex, comorbidities and index year by propensity score matching. We analyzed HCC incidence, HCC survival rates, and the herbal prescriptions involved.

RESULTS

We initially enrolled 657144 DM patients with regular insulin use from 2000 to 2017. Among these, 46849 patients had used a herbal treatment for DM, and 140547 patients were included as the matched control group. The baseline variables were similar between the herb users and nonusers. DM patients with regular herb use had a 12% decreased risk of HCC compared with the control group [adjusted hazard ratio (aHR) = 0.88, 95%CI = 0.80–0.97]. The cumulative incidence of HCC in the herb users was significantly lower than that of the nonusers. Patients with a herb use of > 5 years cumulatively exhibited a protective effect against development of HCC (aHR = 0.82, P < 0.05). Of patients who developed HCC, herb users exhibited a longer survival time than nonusers (aHR = 0.78, P = 0.0001). Additionally, we report the top 10 herbs and formulas in prescriptions and summarize the potential pharmacological effects of the constituents. Our analysis indicated that Astragalus propinquus (Huang Qi) plus Salvia miltiorrhiza Bunge (Dan Shen), and Astragalus propinquus (Huang Qi) plus Trichosanthes kirilowii Maxim. (Tian Hua Fen) were the most frequent combination of single herbs. Meanwhile, Ji Sheng Shen Qi Wan plus Dan Shen was the most frequent combination of herbs and formulas.

CONCLUSION

This large-scale retrospective cohort study reveals that herbal medicine may decrease HCC risk by 12% in DM patients with regular insulin use.

Key Words: Hepatocellular carcinoma; Diabetes mellitus; Insulin; Herb; Taiwanese National health insurance research database

Core Tip: Type 2 diabetes mellitus (DM) is an independent risk factor for hepatocellular carcinoma (HCC), while insulin is a potent mitogen. In this propensity-score-matched population-based cohort study, we investigated whether regular herbal medicine use can decrease HCC risk in DM patients with regular insulin control. DM patients with regular herb use had a 12% decreased risk of HCC compared to the control group. The cohort with herb use of > 5 years cumulatively exhibited a protective effect against development of HCC. Moreover, among patients who developed HCC, herb users exhibited a longer survival time than non-users (adjusted hazard ratio = 0.78).



INTRODUCTION

Hepatocellular carcinoma (HCC) is the fifth most common cancer, and the third-leading cause of cancer-related deaths worldwide[1]. Regional incidence rates of liver cancer are the highest in East Asia [14.8 per 100000 person-years (PY)], more than double the worldwide incidence rate (7.3 per 100000 PY)[2]. This is followed by North Africa (13.2 per 100000 PY) and Southeast Asia (9.5 per 100000 PY)[2]. Treatment strategies for HCC include surgery (resection or liver transplantation), ablation, intra-arterial therapy, radiotherapy, and systemic therapy (such as tyrosine kinase inhibitor). Meanwhile, the Barcelona Clinic of Liver Cancer provides the most commonly applied staging system and guidelines regarding treatment options[3]. Major risk factors for HCC include male sex, chronic hepatitis B virus (HBV), chronic hepatitis C virus (HCV), cirrhosis, alcohol abuse, tobacco use, nonalcoholic fatty liver disease (NAFLD), diabetes mellitus (DM), obesity, and exposure to toxins such as aflatoxins and carbon tetrachloride[4]. In East Asia, chronic HBV infection is the primary risk factor for HCC; however, incidence rates of HBV infection have been decreasing following a universal vaccination policy. HCV infection is a more influential factor in Western Europe and America, where people with HCV have a 15–20-fold increased risk of developing HCC[5]. In terms of treatment, direct-acting antiviral agents have been reported to achieve a higher rate of sustained virological response (SVR) with fewer side effects compared to interferon regimens. More specifically, after treatment with direct-acting antiviral agents, HCV patients with SVR had a 78% decreased risk of HCC occurrence compared with nonresponders[6]. Henceforth, due to the declining role of viral infections, metabolic etiologies have increasingly become the focus of investigations into HCC occurrence.

Type 2 DM (T2DM) is an independent risk factor for both NAFLD and HCC[7]. It is reported that patients with T2DM have a 2.5–4-fold increased risk of developing HCC compared with normal individuals[8]. Treatments for DM include insulin-sensitizing agents, agents stimulating insulin secretion, insulin supplementation, and treatments to reduce gastrointestinal and urinary glucose absorption. While these medications provide adequate control of blood sugar levels, some of them fail to significantly reduce the risk of HCC occurrence. In recent years, studies have demonstrated an elevated risk of HCC incidence in diabetic patients treated with insulin[9]. As insulin is a potent mitogen, it acts to upregulate various growth factors including insulin-like growth factor 1 (IGF-1), thereby increasing HCC risk[8]. As a complementary and alternative treatment option, traditional Chinese medicine (TCM) has been used for centuries in East Asia, while it has more recently been gaining popularity worldwide. Studies have reported that TCM contains many natural compounds, exerting a variety of beneficial therapeutic effects, including anticancer, and balancing blood sugar levels[10,11]. Of particular interest here, TCM indicates that Astragalus membranaceus (a synonym of Astragalus propinquus) has the effect to tonify qi. In contemporary investigations, Astragalus membranaceus, which is rich in antidiabetic compounds including polysaccharides, saponins and flavonoids has presented anti-HCC effects in cell lines[12,13].

Researchers have yet to report on the potential of herbal treatments to decrease HCC risk in DM patients with regular insulin use. In addition, it must be noted that the development of carcinogenesis is a long-term process. Thus, we conducted a population-based retrospective cohort study using data from the Taiwan National Health Insurance Research Database (NHIRD) to investigate the potential of regular herb use to decrease HCC risk in DM patients with regular insulin management. We further analyzed the associated TCM prescriptions to provide both clinical guidance and summarize the potential molecular mechanisms of the herbs and formulas which could act to decrease HCC risk in DM patients with regular insulin management.

MATERIALS AND METHODS
Data source

In Taiwan, over 99% of residents participate in the single-payer National Health Insurance (NHI) program, which was launched in 1995. The medical claim data are stored in the NHIRD. In addition to demographic characteristics such as sex, birth date and region of residence, the database contains critical information regarding disease diagnosis, medication usage and other treatments received. Diseases in this database are recorded using codes of the International Classification of Diseases, Ninth & Tenth Revision, Clinical Modification (ICD-9 & 10-CM). Here, we utilized the NHIRD to investigate the association between herb use and HCC in DM patients. This study was approved by the Institutional Review Board of China Medical University Hospital Research Ethics Committee, No. CMUH109-REC2-031 (CR-3). All records and personal information were anonymized prior to analysis, thus the requirement for written informed consent was waived.

Study population and flow chart

We used data acquired from the Taiwanese NHIRD for the period January 1, 2000 to December 31, 2017. We defined subjects with three or more outpatient visits or one inpatient record of ICD-9-CM code 250 or ICD-10-CM E08-E13 as DM patients. For this cohort study, DM patients with insulin use for > 3 months were the study population. The exposure group in this study included patients with herb use due to DM for > 3 months per annum during the follow-up period. DM patients with insulin use never having received herbal treatment within the study period were defined as the nonexposure group. The index date for the exposure group was set at the first day of herb use after insulin prescription, and we assigned a random date after insulin prescription as the index date for nonexposure patients. The index date for the exposure and nonexposure groups were matched, with both post-indexed > 3 months to account for insulin exposure. Exclusion criteria included patients < 20 years old, with an index date prior to 2000 or after 2017, having any type of cancer aside from HCC, and with HCC diagnosis prior to the index date or within 1 year after the index date. We matched the herb users to nonusers at a 1:3 ratio according to age, sex, comorbidities and index year by propensity score matching. The flow chart illustrating the inclusion process in this study is shown in Figure 1.

Figure 1
Figure 1 Flow chart of study enrolment. NHIRD: National Health Insurance Research Database; HCC: Hepatocellular carcinoma; DM: Diabetes mellitus.
Main outcomes and comorbidities

The primary outcome of this study was HCC, as defined by the Registry for catastrophic illness patients. Patients with IC Cards for Severe Illness with ICD-9-CM code of 155 or ICD-10-CM code of C220, C228 were the HCC patients. Death or withdrawal from the program prior to the end of the study period (December 31, 2017) was considered as censoring. The related comorbidities included hypertension (ICD-9-CM code 401-405; ICD-10-CM code I10-I15); coronary heart disease (ICD-9-CM code 410-414; ICD-10-CM code I20-I25); ischemic stroke (ICD-9-CM code 433434; ICD-10-CM code I63, I65, I66, I67, I68, G46.3-G46.8); hemorrhagic stroke (ICD-9-CM code 430-432; ICD-10-CM code I60, I61, I62); hyperlipidemia (ICD-9-CM code 272; ICD-10-CM code E78); renal insufficiency (ICD-9-CM code 585, 586, 588.8, 588.9; ICD-10-CM code N18, N19, N25.8, N25.9); cirrhosis (ICD-9-CM code 571.2, 571.5, 571.6; ICD-10-CM code K70.2, K70.30, K70.31, K74.0, K74.1, K74.2, K74.3, K74.4, K74.5, K74.60, K74.69); alcoholic liver damage (ICD-9-CM code 571.0, 571.1, 571.3; ICD-10-CM code K70.0, K70.10, K70.11, K70.40, K70.41, K70.0); NAFLD (ICD-9-CM code 571.8; ICD-10-CM code K74.4, K75.81, K76.0, K76.89); HBV infection (ICD-9-CM code V02.61, 070.20, 070.22, 070.30, 070.32; ICD-10-CM code Z22.51, B16.2, B16.9, B18.1, B19.10, B19.11); and HCV infection (ICD-9-CM code V02.62, 070.41, 070.44, 070.51, 070.54; ICD-10-CM code Z22.52, B17.10, B17.11, B18.2, B19.20, B19.21). In addition, several medications were included in our analysis, including lipid-lowering drugs (statins and non-statins), aspirin, HBV treatments (lamivudine, adefovir, entecavir, telbivudine, tenofovir, Peg-INF α-2a), HCV treatments (sofosbuvir, ledipasvir + sofosbuvir, velpatasvir + sofosbuvir, elbasvir + grazoprevir, glecaprevir + pibrentasvir, ombitasvir + paritaprevir + ritonavir + dasabuvir, daclatasvir, daclatasvir + asunaprevir, interferon + ribavirin), and oral antidiabetic drugs (OADs) [Biguanides, Sulfonamide, alpha glucosidase inhibitors, thiazolidinediones, dipeptidyl peptidase 4 inhibitors, glucagon-like peptide-1 (GLP-1) receptor agonist, sodium-glucose cotransporter 2 (SGLT2) inhibitors and glinides].

Statistical analysis

For the categorical variables of baseline characteristics, we represented the number and the percentage. The mean and SD of age were presented. The differences between the two groups were shown by standard mean difference (SMD). A significant difference was shown for SMD > 0.1. We calculated the incidence rate by dividing the number of events for each 1000 PY and the hazard ratio (HR) through the Cox proportional hazard. A 95%CI and P value were also indicated. We further illustrated the cumulative incidence curve as calculated by the Kaplan–Meier method and compared by the log-rank test for statistical significance. All analyses were conducted using SAS software, version 9.4 (SAS Institute, Cary, NC, United States). A significance level was set at P < 0.05.

RESULTS
Baseline characteristics and comorbidities of study participants

We enrolled 657144 DM patients with regular insulin between 2000 and 2017. Of these patients, 46849 had used herbal treatments for DM management, while 140547 were included as the matched control group. After propensity matching, the baseline variables were similar between the herb users and nonusers (SMD < 0.1; Table 1). Nearly half of the study patients were > 60 years old. The top three comorbidities identified were hyperlipidemia, hypertension, and coronary heart disease, while the proportions of all comorbidities in the study group and control group were similar. In addition, medications used by the herb users and nonusers demonstrated no differences (Table 1).

Table 1 Baseline characteristics and comorbidities for herb nonusers and herb users in diabetes mellitus patients with regular insulin management in Taiwan between 2000 and 2017.
VariablesDM patients with regular insulin use
SMD
Herb non-users, n = 140547
Herb users, n = 46849
n
%
n
%
Sex0.014
        Female7187251.142428851.84
        Male6867548.862256148.16
Age, yr
        20-40116238.2741608.880.022
        40-605523939.301868439.880.012
        > 607368552.432400551.240.024
Mean (SD)59.47 (13.25)59.11 (13.38)0.027
Comorbidities
        Hypertension10725576.313522375.180.026
        Coronary heart disease6001642.701986242.400.006
        Ischemic stroke3211722.851036622.130.017
        Hemorrhagic stroke34182.4311462.450.001
        Hyperlipidemia11402881.133770780.490.016
        Renal insufficiency2439417.36782316.700.018
        Cirrhosis49523.5218473.940.022
        Alcoholic liver damage103137.3433867.230.004
        Nonalcoholic fatty liver disease123988.8241788.920.003
        HBV infection95606.8034727.410.024
        HCV infection57704.1121074.500.019
Medication
Lipid-lowering drug
        Statin82175.8527665.900.003
        Non-statin139909.9542999.180.026
        Aspirin48903.4815593.330.008
        HBV treatment19471.396961.490.008
        HCV treatment4510.321920.410.015
OAD
        Biguanides91426.5030546.520.001
        Sulfonamide88556.3029146.220.003
        AGI2275916.19782916.710.014
        Thiazolidinediones2002214.25732515.640.039
        DPP4 inhibitors1431310.18564812.060.060
        GLP-1 receptor agonist29822.1213592.900.050
        SGLT2 inhibitors83765.9636397.770.072
        Glinide2529818.00888618.970.025
        Insulin dose (mg), mean (SD)9449.92 (135.59)8248.88 (115.34)0.071
Chinese herbal medicine decreased HCC risk among DM patients with insulin management

The association between herbal management and HCC is shown in Table 2. The incidence rate of HCC among the herb users was 2.07 per 1000 PY, while it was 1.93 per 1000 PY among nonusers. After adjustment for the variables noted in Table 1, the adjusted HR (aHR) of HCC was 0.88 (95%CI = 0.80–0.97; P = 0.001) for herb users compared to the control group. As illustrated in Figure 2A, the cumulative incidence of HCC in herb users was significantly lower than that of the nonusers (P = 0.0078), while male patients had a higher risk of HCC relative to female patients (aHR = 1.77; 95%CI = 1.62–1.94; P < 0.001). In addition, older patients exhibited an elevated risk of developing HCC. Comorbidities including cirrhosis (aHR = 4.28; 95%CI = 3.80–4.82; P < 0.001), NAFLD (aHR = 1.24; 95%CI = 1.09–1.42; P < 0.001), HBV infection (aHR = 2.59; 95%CI = 2.32–2.90; P < 0.001) and HCV infection (aHR = 4.56; 95%CI = 4.09–5.08; P < 0.001) were identified as risk factors of HCC. Similarly, patients with HBV and HCV treatments exhibited increased risks of HCC, by 3.69-fold (95%CI = 3.21–4.25; P < 0.001) and 1.47-fold (95%CI = 1.14–1.88; P < 0.001) respectively. Of the patients using a GLP-1 receptor agonist and SGLT2 inhibitors, the aHR of HCC was 0.40 (95%CI = 0.24–0.68; P < 0.001) and 0.79 (95%CI = 0.64–0.98; P = 0.010), respectively.

Figure 2
Figure 2 Kaplan–Meier analysis. A: Kaplan–Meier analysis shows lower cumulative incidence of liver cancer in regular herb users compared to nonusers in diabetes mellitus patients with insulin management during follow-up; B: Kaplan–Meier analysis shows longer survival in regular herb users compared to nonusers in diabetes mellitus patients with insulin control who had hepatocellular carcinoma in our study population. HCC: Hepatocellular carcinoma.
Table 2 Incidence rates of liver cancer, stratified by sex, age, comorbidities and medications, and comparing herb nonusers with herb users in diabetes mellitus patients with insulin management.
VariablesHCC
cHR95%CIP valueaHR195%CIP value
n
PY
IR
Herb non-users14877712951.931.00(Ref.)1.00(Ref.)
Herb users6393091582.071.04(0.94, 1.14)0.4610.88(0.80, 0.97)b0.001
Sex
        Female7995739261.391.00(Ref.)1.00(Ref.)
        Male13275065272.621.93(1.77, 2.10)c< 0.0011.77(1.62, 1.94)c< 0.001
Age, yr
        20-40241006970.241.00(Ref.)1.00(Ref.)
        40-607774691991.667.01(4.67, 10.52)c< 0.0015.59(3.71, 8.40)c< 0.001
        > 6013255105572.6011.80(7.90, 17.73)c< 0.00111.19(7.43, 16.86)c< 0.001
Comorbidities
        Hypertension16537986122.071.29(1.16, 1.43)c< 0.0011.10(0.98, 1.23)0.046
        Coronary heart disease9544435622.151.19(1.09, 1.29)c< 0.0011.07(0.97, 1.17)0.052
        Ischemic stroke4572173512.101.14(1.02, 1.26)a0.0160.98(0.88, 1.09)0.948
        Hemorrhagic stroke45204592.201.21(0.90, 1.62)0.2101.09(0.81, 1.48)0.400
        Hyperlipidemia15028755541.720.57(0.52, 0.62)c< 0.0010.67(0.61, 0.74)c< 0.001
        Renal insufficiency3001464652.051.15(1.01, 1.30)a0.0300.92(0.81, 1.04)0.326
        Cirrhosis5742994419.1714.20(12.91, 15.65)c< 0.0014.28(3.80, 4.82)c< 0.001
        Alcoholic liver damage264675223.912.24(1.97, 2.55)c< 0.0011.08(0.94, 1.25)0.165
        Nonalcoholic fatty liver disease244907002.691.42(1.25, 1.63)c< 0.0011.24(1.09, 1.42)b< 0.001
        HBV infection647685149.446.61(6.03, 7.25)c< 0.0012.59(2.32, 2.90)c< 0.001
        HCV infection5923921515.1010.60(9.68, 11.71)c< 0.0014.56(4.09, 5.08)c< 0.001
Medication
Lipid-lowering drug
        Statin108634271.700.85(0.70, 1.04)0.1120.88(0.70, 1.11)0.313
        Non-statin1691066741.580.78(0.67, 0.92)b0.0020.86(0.73, 1.01)0.124
        Aspirin64352311.820.93(0.73, 1.20)0.5900.75(0.56, 1.01)0.050
        HBV treatment3241355723.9014.70(13.05, 16.54)c< 0.0013.69(3.21, 4.25)c< 0.001
        HCV treatment71389918.219.20(7.26, 11.66)c< 0.0011.47(1.14, 1.88)b0.012
OAD
        Biguanides168689302.441.27(1.08, 1.48)b0.0031.16(0.84, 1.61)0.368
        Sulfonamide166664812.501.30(1.11, 1.52)b0.0011.08(0.78, 1.50)0.676
        AGI3791759082.151.12(1.00, 1.25)0.0520.93(0.83, 1.06)0.475
        Thiazolidinediones3441614212.131.09(0.97, 1.23)0.1341.07(0.95, 1.21)0.197
        DPP4 inhibitors2891194372.421.26(1.11, 1.42)c< 0.0011.15(0.99, 1.32)0.085
        GLP-1 receptor agonist14274160.510.25(0.15, 0.42)c< 0.0010.40(0.24, 0.68)c< 0.001
        SGLT2 inhibitors88760621.160.56(0.45, 0.69)c< 0.0010.79(0.64, 0.98)a0.010
        Glinide4181955822.141.11(1.00, 1.24)0.0510.93(0.82, 1.04)0.222
Chinese herbal medicine users achieved a longer survival time compared to non-herb users among patients who developed HCC

By analyzing herb usage during the study period, patients with herb use of > 5 years cumulatively exhibited a protective effect against development of HCC (aHR = 0.82, P < 0.05; P = 0.003). In patients who used herbs for < 1 year, 1–2.9 years, and 3–4.9 years, the aHR of < 1 for developing HCC failed to reach statistical significance (Table 3). In the cohort of patients who developed HCC, herb users exhibited a longer survival time in days compared to non-users (aHR = 0.78, P = 0.0001; Figure 2B).

Table 3 Risk of hepatocellular carcinoma stratified by the duration of herb use compared with nonherb use.
VariablesHCC
cHR95%CIP valueaHR195%CIP value
n
PY
IR
Herb non-users14877712951.931.00(Ref.)1.00(Ref.)
Herb users
        < 1 yr181893492.031.04(0.89, 1.22)0.6100.88(0.76, 1.03)0.074
        1-2.9 yr171819242.091.05(0.9, 1.24)0.5140.92(0.78, 1.08)0.169
        3-4.9 yr87399322.181.09(0.88, 1.35)0.4500.94(0.76, 1.17)0.436
        ≥ 5 yr200979532.040.99(0.86, 1.15)0.9430.82(0.71, 0.95)a0.003
The top 10 herbs and formulas of prescriptions

Data regarding the top 10 single herbs and herbal formulas used by patients, and summaries of the potential pharmacological effects of the constituents are presented in Table 4. Patients with prescriptions of Rheum palmatum L. (Da Huang), Salvia miltiorrhiza Bunge (Dan Shen), Trichosanthes kirilowii Maxim. (Tian Hua Fen), and Scrophularia ningpoensis Hemsl. (Xuan Shen) exhibited lower risks of HCC, with statistical significance (aHR = 0.79–0.87; P < 0.05). In terms of herbal formulas, patients with prescriptions of Ji Sheng Shen Qi Wan, Liu Wei Di Huang Wan, Shu Jing Huo Xie Tang, Xue Fu Zhu Yu Tang, Qi Ju Di Huang Wan, Bai Hu Jia Ren Shen Tang, and Zhi Gan Cao Tang exhibited lower risks of HCC, with an aHR 0.77–0.86, with statistical significance (P < 0.05). The network analysis of the top 30 most prescribed herbs and formulas is presented in Figure 3. The analysis illustrates that Astragalus propinquus (Huang Qi) plus Salvia miltiorrhiza Bunge (Dan Shen), and Astragalus propinquus (Huang Qi) plus Trichosanthes kirilowii Maxim (Tian Hua Fen) were the most frequent combination of single herbs. Meanwhile, Ji Sheng Shen Qi Wan plus Dan Shen was the most frequent combination of herbs and formulas.

Figure 3
Figure 3 Network analysis of the top thirty most prescribed herbs and formulas. The spot size indicates the frequency of Chinese herbal product prescription, and the line width indicates the combination frequency between two Chinese herbal products.
Table 4 Possible pharmacological effects of the ingredients in the top 10 herbs and formulas.

Possible pharmacological effects of the ingredients
Average daily dose (g)
No. of persons-dosage
Frequency (%)
aHR1
95%CI
P value
Single Herbs: Pin-yin name/Latin name1.00(Ref.)
Da Huang/Rheum palmatum LReduces oxidative stress, inhibits β-cell apoptosis and improves β-cell function[28]; Activates AMP-Activated Protein Kinase and improves glucose tolerance[37]; Ameliorates insulin resistance via reducing FATP1-mediated skeletal muscle lipid accumulation[38]; Inhibits HCC via inhibiting STAT 3 signaling pathway[39]11060286109102 (15.25)0.83(0.7, 0.98)a0.013
Dan Shen/Salvia miltiorrhiza BungeReduces oxidative stress and inhibits apoptosis and inflammation via the regulation of Wnt/β-catenin, TSP-1/TGF-β1/STAT3, JNK/PI3K/Akt, TGF-β1/NF-κB, AMPK/ACC, signaling pathways in DM model[40]. Inhibits IGF-1[31,32]. Inhibits HCC via modulating PI3K/Akt, MAPK and JAK/STAT3 signaling pathways[41]1.92162061107301 (15.00)0.87(0.76, 1.00)a0.0123
Huang Qi/Astragalus propinquusProtects pancreatic β cells from apoptotic death[29]. Regulates resistin (an insulin-resistance protein)[29]. Ameliorates insulin resistance[42]. Induces apoptosis in HCC via decreasing the expression of Notch 1[43]. Inhibits HCC via repression of M2 polarization of tumor-associated macrophages[44]2.2218888594799 (13.25)0.87(0.75, 1.01)0.0183
Tian Hua Fen/Trichosanthes kirilowii MaximAmeliorates insulin resistance via decreasing the expression of PTGS2, NF-κB, JNK, and AKT[45]. Stimulates insulin receptor kinase activity and enhances glucose clearance[46]. Inhibits HCC cell proliferation via blocking PKM2-dependent glycolysis[47]2.2178739677376 (10.81)0.83(0.71, 0.97)a0.0027
Yan Hu Suo/Corydalis yanhusuoInduces autophagy in HCC via activating the AMPK-mTOR-ULK1 and the ROS-JNK-ATG cascade and impairing the ERK/AKT signaling pathway[26]1.892527562808 (8.78)0.89(0.77, 1.03)0.0496
Ge Gen/Pueraria montana var. lobataElevates insulin expression and enhances insulin sensitivity index[48]. Ameliorates insulin resistance[49]. Inhibits HCC invasion and metastasis via miR-21-mediated PTEN/AKT signaling pathway[50]1.8103247562061 (8.67)0.86(0.73, 1.00)0.0128
Xuan Shen/Scrophularia ningpoensis HemslImproves insulin sensitivity via AMPK-mediated NLRP3 inflammasome inhibition[51,52]2.2109970052418 (7.33)0.79(0.67, 0.94)b0.002
Huang Chin/Scutellaria baicalensis GeorgiRegulates IGF-1R/AKT signaling pathway[53]. Ameliorates insulin resistance via inhibiting macrophage-mediated inflammation[54]. Elevates AMPK expression[34]. Modulates gut microbiota[34]. Inhibits HCC via affecting p53 signal pathway, MAPK signal pathway, apoptosis pathway, T cell receptor pathway, and macrophage-mediated tumor immunity[55]1.985215650546 (7.06)0.93(0.80, 1.09)0.2098
Mai Men Dong/Ophiopogon japonicus (Thunb.) Ker GawlAmeliorates insulin resistance via InsR/IRS-1/PI3K/Akt/GSK-3/Glut-4 signalling pathway[56]. Modulates gut microbiota[35]. Inhibits HCC via downregulating PTP1B expression, thereby inactivating the PI3K/AKT pathway and activating the AMPK pathway[57]2.3106408049974 (6.98)0.88(0.75, 1.04)0.0429
Hou Po/Magnolia officinalisDecreases IGF-1 and IGFBP-5[33]. Protects pancreatic β-cells[30]. Inhibits HCC via AKT inhibition[58]2.194645349148 (6.87)0.84(0.70, 1.01)0.0232
Herbal Formula: Pin-yin name/Latin name
Ji Sheng Shen Qi WanAmeliorates insulin resistance[59]. Inhibits HCC development[60]6.9623932587687 (15.62)0.82(0.71, 0.96)a0.0026
Liu Wei Di Huang WanAmeliorates insulin resistance via antioxidative effect and supressing inflammation[61]. Induces apoptosis in HCC[62]8.6680368878029 (13.90)0.83(0.72, 0.96)a0.0022
Shu Jing Huo Xie TangAmeliorates insulin resistance[63]. Inhibits HCC via regulating iron metabolism[64]7.8355068656106 (10.00)0.86(0.74, 1.00)a0.0152
Xue Fu Zhu Yu TangAmeliorates insulin resistance, inflammation and oxidative stress[65]. Inhibits angiogenesis in HCC via blocking ERK/MAPK and NF-κB signalling pathway[66]6.4346603055091 (9.81)0.80(0.68, 0.94)b0.0025
Jia Wei Xiao Yao SanAmeliorates insulin resistance[67]. Induces apoptosis in HCC[68]. Inhibits invasion and metastasis in HCC[69]7.7382337251350 (9.15)0.92(0.78, 1.08)0.1529
Qi Ju Di Huang WanAmeliorates insulin resistance[70]. Modulates gut microbiota[71]. Inhibits HCC via inducing p53-mediated apoptosis and inhibiting proliferation[62]7.7430980150271 (8.96)0.83(0.68, 1.00)a0.0219
Ma Zi Ren WanReduces oxidative stress, inhibits β-cell apoptosis and improves β-cell function[28]. Inhibits HCC via AKT inhibition[58]5260909350100 (8.93)0.87(0.70, 1.08)0.1288
Zhi Bai Di Huang WanAmeliorates insulin resistance via IRS-1/PI3K/AKT pathway[72]. Modulates gut microbiota[36]. Induces autophagy and apoptosis in HCC[27]7.1355745846284 (8.25)1.05(0.89, 1.23)0.9271
Bai Hu Jia Ren Shen TangInhibits IGF-1R/Akt pathway[73]. Ameliorates insulin resistance[74,75]. Induces apoptosis in HCC[76]8.4405124743451 (7.74)0.79(0.65, 0.96)a0.0043
Zhi Gan Cao TangDecreases blood glucose[77]; Ameliorates insulin resistance[77]; Induces apoptosis and inhibits proliferation in HCC via blocking PI3K/AKT signal pathway[78]5.9242330342951 (7.65)0.77(0.63, 0.93)b0.0042
DISCUSSION

Although previous studies have demonstrated that DM patients with insulin management have an increased risk of HCC, this is the first large-scale cohort study indicating the efficacy of herbs at decreasing the HCC risk by 12% among DM patients, after adjusting for sex, age, various drug uses and major comorbidities (aHR = 0.88; 95%CI = 0.8–0.97; P = 0.001). Furthermore, among patients who developed HCC during the study period, herbal medicine users exhibited a longer survival time in days compared to non-users (aHR = 0.78, P = 0.0001).

Similar to previous reports, our study reveals that males had an elevated risk of developing HCC as compared to females (aHR = 1.77; 95%CI = 1.62–1.94; P < 0.001)[14]. Additionally, approximately 50% of our cohort patients were over 60 years of age, noting that HCC risk steadily increases with age. While the diagnosed onset age of HCC varies in different parts of the world, Yang et al[4] reported a median onset age above 60 years[4], which is similar to our findings. Our stratified analysis revealed that cirrhosis patients had the highest risk of developing HCC compared to other comorbidities (aHR = 4.28; 95%CI = 3.8–4.82; P < 0.001). A study by Fattovich et al[15] reported a fourfold elevated risk of developing HCC in cirrhosis patients compared to those with chronic hepatitis[15]. With viral infection or alcohol intake, a damaged liver will undergo regeneration and tissue recovery. The repeated hepatocyte and hepatic stellate cellular proliferation may trigger cancer-related fibroblasts and lead to cirrhosis as well as HCC proliferation[16]. Furthermore, between 15% and 30% of cirrhosis patients develop T2DM due to perturbed glucose utilization and decreased insulin removal by the liver[17]. Hyperglycemia and hyperinsulinemia status may also result in development of HCC. Of note, our study identified HBV and HCV infections as major risk factors of developing HCC. The worldwide incidence of HCV-related HCC is 12–17 per 1000 PY, which is similar to our finding (15.10 per 1000 PY)[5], and the incidence of HBV-related HCC varies by region[15]. In our study, HBV and HCV treatments were adopted in accordance with patient preference and following NHI payment guidelines. HBV treatments were covered for patients with HBV DNA ≥ 2000IU/mL with five-fold elevated liver enzymes or decompensated liver status, while HCV treatments were covered for patients positive for anti-HCV for > 6 months with cirrhosis ≥ F2 or positive for HCV RNA. We hypothesize that the liver status of patients in the HBV and HCV treatment groups were generally more severe, thus causing the elevated risk of HCC incidence noted in our study.

DM is a metabolic disorder associated with hyperglycemia, hyperinsulinemia and insulin resistance. Due to metabolic disturbances, DM is noted as an independent risk factor for various types of cancer, including breast, colorectal, endometrial, pancreatic, gallbladder, renal, and liver cancers[18]. It has been reported that T2DM patients have a 2.5–4-fold risk of developing HCC compared with normal individuals[8]; the possible underlying mechanism of which is associated with insulin resistance related to hyperinsulinemia. Hyperinsulinemia increases IGF-1, causing IGF-1 and insulin receptor substrate-1 overexpression, thereby activating hepatoma cell proliferation[19]. Insulin supplementation is indicated in T2DM and gestational DM patients; however, although insulin supplements can achieve satisfactory control of blood sugar levels, mounting evidence suggests an elevated risk of HCC in diabetic patients. According to a previous study, both higher daily insulin dosage and longer treatment duration increase the risk of HCC in patients treated with insulin by adjusted odds ratio from 1.9 to 3.73[8]. More specifically, sulfonylureas, which promote insulin secretion, pose a 2.6-fold increased risk of developing HCC[20]. Our report reveals a similar result whereby sulfonylureas increased HCC risk (aHR = 1.08), but without statistical significance.

The biguanide metformin is an oral antihyperglycemic agent that has been identified as a potential hepatoprotective drug against HCC development[21]. Metformin activates adenosine monophosphate-activated protein kinase and inhibits the downstream mammalian target of rapamycin pathway, which plays a key role in preventing hepatocarcinogenesis[22]. Indeed, previous studies have reported a metformin treatment group with a 43%–76% reduced risk of HCC and reduced overall mortality risk[8,9]; however, our subgroup analysis showed no difference between biguanides users and nonusers (aHR = 1.16; 95%CI = 0.84–1.61; P = 0.368). Meanwhile, GLP-1 is an insulin secretagogue that ameliorates liver fat accumulation and the inflammatory microenvironment, acting to prevent NAFLD progression to nonalcoholic steatohepatitis (NASH). In our study, GLP-1 receptor agonists decreased HCC risk (aHR = 0.4; 95%CI = 0.24–0.68; P < 0.001). Previous studies have demonstrated that GLP-1 receptor agonists induce autophagy via elevating the transforming growth factor 1 level and reducing migration via suppression of the stress-activated protein kinase/c-Jun N-terminal kinase pathway[23,24], which is further supported by our findings. However, it should be noted that GLP-1 receptor agonists elevate the insulin level in patients, thereby potentially elevating the risk of HCC. Thus, more high-quality clinical evidence is required to clarify the association between GLP-1 receptor agonist and HCC occurrence. In addition, SGLT2 inhibitors are a new class of OAD which act to decrease glucose reabsorption in the renal proximal tubules. SGLT2 has been shown to attenuate the development of NASH and induce cell cycle arrest and apoptosis in an animal model[25]. Our report reveals a decreased HCC risk (aHR = 0.79; 95%CI = 0.64–0.98; P = 0.010) in SGLT2 inhibitor users; however, there is a lack of clinical data regarding SGLT2 inhibitors as a protector or inducer of carcinogenesis.

Although many OADs have been developed, insulin continues to play a prominent role in the clinical setting as it is applied to such conditions as chronic DM, type 1 DM, chronic kidney disease, and gestational DM. Thus, identifying a new therapeutic modality is critical to preventing insulin users from developing HCC. As such, many of the herbs applied in TCM contain natural compounds which have been demonstrated to exert both anticancer and antidiabetic effects without causing hyperinsulinemia[10,11]. Table 4 lists and summarizes the possible pharmacological effects of the 10 most-prescribed herbs and formulas identified in our study. Importantly, previous studies have indicated that these herbs and formulas contain active compounds involved in the inhibition of HCC progression. Most of them have been shown to induce apoptosis both in vivo and in vitro in HCC cell line studies, while Corydalis yanhusuo[26] and Anemarrhena asphodeloides[27] (present in Zhi Bai Di Huang Wan and Bai Hu Jia Ren Shen Tang) have been noted to induce autophagy. In addition, Pueraria montana and Paeonia lactiflora (present in Jia Wei Xiao Yao San and Ma Zi Ren Wan) inhibit HCC invasion and metastasis. Aside from Corydalis yanhusuo, the other top 10 herbs and formulas have been reported to exert antidiabetic effects, primarily by ameliorating insulin resistance via various molecular pathways. As previously reported, Rheum palmatum[28], Astragalus propinquus[29] and Magnolia officinalis[30] prevent pancreatic β-cell death and control blood sugar levels. Salvia miltiorrhiza[31,32] and Magnolia officinalis[33] inhibit IGF-1, a tumor carcinogen, indicating their potential to inhibit HCC proliferation. Furthermore, Scutellaria baicalensis[34], Ophiopogon japonicas[35] and Anemarrhena asphodeloides[36] have been demonstrated to modulate gut microbiota in high-fat-diet animal models. Collectively, the present study and previous investigations indicate that the herbs identified herein are associated with both anticancer and antidiabetic effects without causing hyperinsulinemia, although further investigation is warranted.

The NHIRD used in this study provides a large sample size, covering over 99% of Taiwan’s residents with a low loss of follow-up, and provides sufficient power for subgroup analyses to demonstrate convincing outcomes after adjusting for potential confounding factors. However, several limitations need to be considered. First, the NHIRD does not offer information on potential confounding factors such as body mass index, environmental/chemical exposure, alcohol/tobacco consumption, or history of family illness. Thus, we have attempted to adjust for the alcohol confounding factor by considering alcoholic liver disease, revealing no statistical significance between the two cohorts. Second, clinical data were lacking in terms of laboratory data and imaging results, making it difficult to investigate the quality of DM control, and stages of cirrhosis and HCC. Among the demographic characteristics in our patients, the proportion with cirrhosis, alcoholic liver damage and HBV/HCV infection were not significantly different between the groups, suggesting that the background risk of liver cancer occurrence was likely similar for both groups. Third, the NHIRD only records herbal prescriptions manufactured by good-manufacturing-practice-certified pharmaceutical companies; hence, herbs purchased outside of the NHI program were not analyzed in this study. However, self-paid herbs are relatively expensive, at approximately $300 to $400 per month, while we identified patients with > 3 months of herbal prescriptions per annum during the study period; thus, the chance of patients purchasing herbs not covered by NHI should be minimal. Fourth, due to the nature of retrospective cohort studies, bias may exist in our results. More specifically, it is reasonable to suggest that patients with a longer survival time may have received herbal treatment for a correspondingly longer period, thus warranting a prospective study to confirm our results. To minimize these limitations, we defined only patients with long-term (> 3 months) use of insulin and herbs, and patients diagnosed with HCC according to the Registry for Catastrophic Illness Database. We also reviewed the possible mechanisms underlying herbal effects on both anti-HCC and reversal of insulin resistance to bridge our results. Our study reveals several notable findings, while the prescription patterns identified in this large-scale cohort study provide valuable clinical guidance, and warrant further clinical studies and pharmacological investigation.

CONCLUSION

As DM patients using insulin have an increased risk of developing HCC, identifying a new therapeutic modality to prevent or mitigate this risk is of importance. This is the first large-scale cohort study to reveal that regular herbal medicine prescriptions can decrease the risk of HCC in DM patients using insulin. Herbal prescriptions may extend the survival time for DM patients with HCC. Future large-scale cohort studies or prospective studies are recommended to further support our results.

ARTICLE HIGHLIGHTS
Research background

Hepatocellular carcinoma (HCC) is the fifth most commonly occurring cancer globally. Type 2 diabetes mellitus (DM) is independent risk factor for HCC, while insulin is a potent mitogen. Identifying a new therapeutic modality for preventing insulin users from developing HCC is a critical goal for researchers.

Research motivation

Previous reports have indicated the potential of herbal treatments to decrease HCC risk in DM patients. However, carcinogenesis is a long-term process. Thus, we conducted a population-based retrospective cohort study using data from the Taiwan National Health Insurance Research Database (NHIRD) to investigate the potential of regular herb use to decrease HCC risk in DM patients with regular insulin management.

Research objectives

The objective of this study was to evaluate whether regular herbal medicine use can decrease HCC risk in DM patients with regular insulin control.

Research methods

We used data acquired from the Taiwanese NHIRD between 2000 and 2017. We identified patients with DM who were prescribed insulin for > 3 months. The herb group was further defined as patients prescribed herbal medication for DM for > 3 months per annum during follow-up. We analyzed HCC incidence, HCC survival rates, and the herbal prescriptions involved.

Research results

We enrolled 657144 DM patients with regular insulin use from 2000 to 2017. Among these, 46849 patients had used herbal treatment for DM, and 140547 patients were included as the matched control group. The baseline variables were similar between the herb users and nonusers. DM patients with regular herb use had a 12% decreased risk of HCC compared to the control group. The cumulative incidence of HCC in herb users was significantly lower than that of the nonusers. Patients with herb use for > 5 years cumulatively exhibited a protective effect against development of HCC. Of patients who developed HCC, herb users exhibited a longer survival time than nonusers. Our analysis indicated that Astragalus propinquus (Huang Qi) plus Salvia miltiorrhiza Bunge (Dan Shen), and Astragalus propinquus (Huang Qi) plus Trichosanthes kirilowii Maxim (Tian Hua Fen) were the most frequent combination of single herbs. Meanwhile, Ji Sheng Shen Qi Wan plus Dan Shen was the most frequent combination of herbs and formulas.

Research conclusions

This large-scale retrospective cohort study reveals that herbal medicine may decrease HCC risk by 12% in DM patients with regular insulin use. Furthermore, herbal prescriptions may extend the survival time for those DM patients who develop HCC.

Research perspectives

Since herbal prescriptions are relatively cheap and commonly used, large-scale cohort studies or prospective studies are required to support our results.

ACKNOWLEDGEMENTS

The authors would like to thank James Waddell for the proofreading and revision of our manuscript.

Footnotes

Provenance and peer review: Unsolicited article; Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Oncology

Country/Territory of origin: Taiwan

Peer-review report’s scientific quality classification

Grade A (Excellent): 0

Grade B (Very good): B

Grade C (Good): C, C

Grade D (Fair): 0

Grade E (Poor): 0

P-Reviewer: Li YW, China; Shi YJ, China; Yang ZG, China S-Editor: Li L L-Editor: Kerr C P-Editor: Cai YX

References
1.  Chidambaranathan-Reghupaty S, Fisher PB, Sarkar D. Hepatocellular carcinoma (HCC): Epidemiology, etiology and molecular classification. Adv Cancer Res. 2021;149:1-61.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 330]  [Cited by in F6Publishing: 419]  [Article Influence: 104.8]  [Reference Citation Analysis (0)]
2.  Rumgay H, Ferlay J, de Martel C, Georges D, Ibrahim AS, Zheng R, Wei W, Lemmens VEPP, Soerjomataram I. Global, regional and national burden of primary liver cancer by subtype. Eur J Cancer. 2022;161:108-118.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 125]  [Cited by in F6Publishing: 143]  [Article Influence: 71.5]  [Reference Citation Analysis (0)]
3.  Vogel A, Meyer T, Sapisochin G, Salem R, Saborowski A. Hepatocellular carcinoma. Lancet. 2022;400:1345-1362.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 47]  [Cited by in F6Publishing: 771]  [Article Influence: 385.5]  [Reference Citation Analysis (40)]
4.  Yang JD, Hainaut P, Gores GJ, Amadou A, Plymoth A, Roberts LR. A global view of hepatocellular carcinoma: trends, risk, prevention and management. Nat Rev Gastroenterol Hepatol. 2019;16:589-604.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2184]  [Cited by in F6Publishing: 2465]  [Article Influence: 493.0]  [Reference Citation Analysis (16)]
5.  Sagnelli E, Macera M, Russo A, Coppola N, Sagnelli C. Epidemiological and etiological variations in hepatocellular carcinoma. Infection. 2020;48:7-17.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 73]  [Cited by in F6Publishing: 116]  [Article Influence: 23.2]  [Reference Citation Analysis (0)]
6.  Huang P, Liu M, Zang F, Yao Y, Yue M, Wang J, Fan H, Zhuo L, Wu J, Xia X, Feng Y, Yu R. The development of hepatocellular carcinoma in HCV-infected patients treated with DAA: A comprehensive analysis. Carcinogenesis. 2018;39:1497-1505.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 20]  [Cited by in F6Publishing: 23]  [Article Influence: 4.6]  [Reference Citation Analysis (0)]
7.  Mantovani A, Targher G. Type 2 diabetes mellitus and risk of hepatocellular carcinoma: spotlight on nonalcoholic fatty liver disease. Ann Transl Med. 2017;5:270.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 65]  [Cited by in F6Publishing: 99]  [Article Influence: 14.1]  [Reference Citation Analysis (0)]
8.  Plaz Torres MC, Jaffe A, Perry R, Marabotto E, Strazzabosco M, Giannini EG. Diabetes medications and risk of HCC. Hepatology. 2022;76:1880-1897.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 11]  [Cited by in F6Publishing: 42]  [Article Influence: 21.0]  [Reference Citation Analysis (0)]
9.  Bosetti C, Franchi M, Nicotra F, Asciutto R, Merlino L, La Vecchia C, Corrao G. Insulin and other antidiabetic drugs and hepatocellular carcinoma risk: a nested case-control study based on Italian healthcare utilization databases. Pharmacoepidemiol Drug Saf. 2015;24:771-778.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 22]  [Cited by in F6Publishing: 30]  [Article Influence: 3.3]  [Reference Citation Analysis (0)]
10.  Hu B, An HM, Wang SS, Chen JJ, Xu L. Preventive and Therapeutic Effects of Chinese Herbal Compounds against Hepatocellular Carcinoma. Molecules. 2016;21:142.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 35]  [Cited by in F6Publishing: 44]  [Article Influence: 5.5]  [Reference Citation Analysis (0)]
11.  Tran N, Pham B, Le L. Bioactive Compounds in Anti-Diabetic Plants: From Herbal Medicine to Modern Drug Discovery. Biology (Basel). 2020;9.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 163]  [Cited by in F6Publishing: 123]  [Article Influence: 30.8]  [Reference Citation Analysis (0)]
12.  Zhang K, Pugliese M, Pugliese A, Passantino A. Biological active ingredients of traditional Chinese herb Astragalus membranaceus on treatment of diabetes: a systematic review. Mini Rev Med Chem. 2015;15:315-329.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 40]  [Cited by in F6Publishing: 56]  [Article Influence: 6.2]  [Reference Citation Analysis (0)]
13.  Zang W, Bian H, Huang X, Yin G, Zhang C, Han LI, Hao P, Ding S, Sun YU, Yang Z, Hoffman RM, Tang D. Traditional Chinese Medicine (TCM) Astragalus Membranaceus and Curcuma Wenyujin Promote Vascular Normalization in Tumor-derived Endothelial Cells of Human Hepatocellular Carcinoma. Anticancer Res. 2019;39:2739-2747.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 21]  [Cited by in F6Publishing: 23]  [Article Influence: 4.6]  [Reference Citation Analysis (0)]
14.  Pinheiro PS, Medina HN, Callahan KE, Jones PD, Brown CP, Altekruse SF, McGlynn KA, Kobetz EN. The association between etiology of hepatocellular carcinoma and race-ethnicity in Florida. Liver Int. 2020;40:1201-1210.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 18]  [Cited by in F6Publishing: 23]  [Article Influence: 5.8]  [Reference Citation Analysis (0)]
15.  Fattovich G, Stroffolini T, Zagni I, Donato F. Hepatocellular carcinoma in cirrhosis: incidence and risk factors. Gastroenterology. 2004;127:S35-S50.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1691]  [Cited by in F6Publishing: 1707]  [Article Influence: 85.4]  [Reference Citation Analysis (2)]
16.  Baglieri J, Brenner DA, Kisseleva T. The Role of Fibrosis and Liver-Associated Fibroblasts in the Pathogenesis of Hepatocellular Carcinoma. Int J Mol Sci. 2019;20.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 102]  [Cited by in F6Publishing: 194]  [Article Influence: 38.8]  [Reference Citation Analysis (0)]
17.  Schuppan D, Afdhal NH. Liver cirrhosis. Lancet. 2008;371:838-851.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1446]  [Cited by in F6Publishing: 1495]  [Article Influence: 93.4]  [Reference Citation Analysis (0)]
18.  Singh MK, Das BK, Choudhary S, Gupta D, Patil UK. Diabetes and hepatocellular carcinoma: A pathophysiological link and pharmacological management. Biomed Pharmacother. 2018;106:991-1002.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 30]  [Cited by in F6Publishing: 42]  [Article Influence: 7.0]  [Reference Citation Analysis (0)]
19.  Li X, Wang X, Gao P. Diabetes Mellitus and Risk of Hepatocellular Carcinoma. Biomed Res Int. 2017;2017:5202684.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 26]  [Cited by in F6Publishing: 46]  [Article Influence: 6.6]  [Reference Citation Analysis (0)]
20.  Lee JY, Kim G, Lee YH, Lee BW, Cha BS, Nam CM, Kang ES. Comparison of hepatocellular carcinoma risk between patients treated with glimepiride and gliclazide. Diabetes Metab. 2019;45:83-85.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3]  [Cited by in F6Publishing: 8]  [Article Influence: 1.1]  [Reference Citation Analysis (0)]
21.  Mallik R, Chowdhury TA. Metformin in cancer. Diabetes Res Clin Pract. 2018;143:409-419.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 147]  [Cited by in F6Publishing: 190]  [Article Influence: 31.7]  [Reference Citation Analysis (0)]
22.  Gallagher EJ, LeRoith D. Diabetes, cancer, and metformin: connections of metabolism and cell proliferation. Ann N Y Acad Sci. 2011;1243:54-68.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 141]  [Cited by in F6Publishing: 136]  [Article Influence: 11.3]  [Reference Citation Analysis (0)]
23.  Krause GC, Lima KG, Dias HB, da Silva EFG, Haute GV, Basso BS, Gassen RB, Marczak ES, Nunes RSB, de Oliveira JR. Liraglutide, a glucagon-like peptide-1 analog, induce autophagy and senescence in HepG2 cells. Eur J Pharmacol. 2017;809:32-41.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 21]  [Cited by in F6Publishing: 22]  [Article Influence: 3.1]  [Reference Citation Analysis (0)]
24.  Yamada N, Matsushima-Nishiwaki R, Kobayashi K, Tachi J, Kozawa O. GLP-1 reduces the migration of hepatocellular carcinoma cells via suppression of the stress-activated protein kinase/c-Jun N-terminal kinase pathway. Arch Biochem Biophys. 2021;703:108851.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1]  [Cited by in F6Publishing: 1]  [Article Influence: 0.3]  [Reference Citation Analysis (0)]
25.  Kaji K, Nishimura N, Seki K, Sato S, Saikawa S, Nakanishi K, Furukawa M, Kawaratani H, Kitade M, Moriya K, Namisaki T, Yoshiji H. Sodium glucose cotransporter 2 inhibitor canagliflozin attenuates liver cancer cell growth and angiogenic activity by inhibiting glucose uptake. Int J Cancer. 2018;142:1712-1722.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 80]  [Cited by in F6Publishing: 146]  [Article Influence: 20.9]  [Reference Citation Analysis (0)]
26.  Yin X, Li W, Zhang J, Zhao W, Cai H, Zhang C, Liu Z, Guo Y, Wang J. AMPK-Mediated Metabolic Switching Is High Effective for Phytochemical Levo-Tetrahydropalmatine (l-THP) to Reduce Hepatocellular Carcinoma Tumor Growth. Metabolites. 2021;11.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2]  [Cited by in F6Publishing: 2]  [Article Influence: 0.7]  [Reference Citation Analysis (0)]
27.  Han FY, Song XY, Chen JJ, Yao GD, Song SJ. Timosaponin AIII: A novel potential anti-tumor compound from Anemarrhena asphodeloides. Steroids. 2018;140:125-130.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 22]  [Cited by in F6Publishing: 23]  [Article Influence: 3.8]  [Reference Citation Analysis (0)]
28.  Cheng FR, Cui HX, Fang JL, Yuan K, Guo Y. Ameliorative Effect and Mechanism of the Purified Anthraquinone-Glycoside Preparation from Rheum Palmatum L. on Type 2 Diabetes Mellitus. Molecules. 2019;24.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 27]  [Cited by in F6Publishing: 19]  [Article Influence: 3.8]  [Reference Citation Analysis (0)]
29.  Agyemang K, Han L, Liu E, Zhang Y, Wang T, Gao X. Recent Advances in Astragalus membranaceus Anti-Diabetic Research: Pharmacological Effects of Its Phytochemical Constituents. Evid Based Complement Alternat Med. 2013;2013:654643.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 60]  [Cited by in F6Publishing: 63]  [Article Influence: 5.7]  [Reference Citation Analysis (0)]
30.  Suh KS, Chon S, Jung WW, Choi EM. Magnolol protects pancreatic β-cells against methylglyoxal-induced cellular dysfunction. Chem Biol Interact. 2017;277:101-109.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 13]  [Cited by in F6Publishing: 15]  [Article Influence: 2.1]  [Reference Citation Analysis (0)]
31.  Wang H, Su X, Fang J, Xin X, Zhao X, Gaur U, Wen Q, Xu J, Little PJ, Zheng W. Tanshinone IIA Attenuates Insulin Like Growth Factor 1 -Induced Cell Proliferation in PC12 Cells through the PI3K/Akt and MEK/ERK Pathways. Int J Mol Sci. 2018;19.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 15]  [Cited by in F6Publishing: 16]  [Article Influence: 2.7]  [Reference Citation Analysis (0)]
32.  Wu YT, Bi YM, Tan ZB, Xie LP, Xu HL, Fan HJ, Chen HM, Li J, Liu B, Zhou YC. Tanshinone I inhibits vascular smooth muscle cell proliferation by targeting insulin-like growth factor-1 receptor/phosphatidylinositol-3-kinase signaling pathway. Eur J Pharmacol. 2019;853:93-102.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 12]  [Cited by in F6Publishing: 11]  [Article Influence: 2.2]  [Reference Citation Analysis (0)]
33.  McKeown BT, Hurta RA. Magnolol affects expression of IGF-1 and associated binding proteins in human prostate cancer cells in vitro. Anticancer Res. 2014;34:6333-6338.  [PubMed]  [DOI]  [Cited in This Article: ]
34.  Baradaran Rahimi V, Askari VR, Hosseinzadeh H. Promising influences of Scutellaria baicalensis and its two active constituents, baicalin, and baicalein, against metabolic syndrome: A review. Phytother Res. 2021;35:3558-3574.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 16]  [Cited by in F6Publishing: 51]  [Article Influence: 17.0]  [Reference Citation Analysis (0)]
35.  Chen S, Li X, Liu L, Liu C, Han X. Ophiopogonin D alleviates high-fat diet-induced metabolic syndrome and changes the structure of gut microbiota in mice. FASEB J. 2018;32:1139-1153.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 22]  [Cited by in F6Publishing: 32]  [Article Influence: 5.3]  [Reference Citation Analysis (0)]
36.  Yan D, Fan P, Sun W, Ding Q, Zheng W, Xiao W, Zhang B, Zhang T, Shi J, Chen X, Chen P, Zhang J, Hao Y, Sun X, Pang X, Dong Y, Xu P, Yu L, Ma B. Anemarrhena asphodeloides modulates gut microbiota and restores pancreatic function in diabetic rats. Biomed Pharmacother. 2021;133:110954.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 18]  [Cited by in F6Publishing: 15]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
37.  Yang M, Li X, Zeng X, Ou Z, Xue M, Gao D, Liu S, Yang S. Rheum palmatum L. Attenuates High Fat Diet-Induced Hepatosteatosis by Activating AMP-Activated Protein Kinase. Am J Chin Med. 2016;44:551-564.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 19]  [Cited by in F6Publishing: 21]  [Article Influence: 2.6]  [Reference Citation Analysis (0)]
38.  Cao Y, Chang S, Dong J, Zhu S, Zheng X, Li J, Long R, Zhou Y, Cui J, Zhang Y. Emodin ameliorates high-fat-diet induced insulin resistance in rats by reducing lipid accumulation in skeletal muscle. Eur J Pharmacol. 2016;780:194-201.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 14]  [Cited by in F6Publishing: 17]  [Article Influence: 2.1]  [Reference Citation Analysis (0)]
39.  Tan ZB, Fan HJ, Wu YT, Xie LP, Bi YM, Xu HL, Chen HM, Li J, Liu B, Zhou YC. Rheum palmatum extract exerts anti-hepatocellular carcinoma effects by inhibiting signal transducer and activator of transcription 3 signaling. J Ethnopharmacol. 2019;232:62-72.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 8]  [Cited by in F6Publishing: 7]  [Article Influence: 1.4]  [Reference Citation Analysis (0)]
40.  Jia Q, Zhu R, Tian Y, Chen B, Li R, Li L, Wang L, Che Y, Zhao D, Mo F, Gao S, Zhang D. Salvia miltiorrhiza in diabetes: A review of its pharmacology, phytochemistry, and safety. Phytomedicine. 2019;58:152871.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 73]  [Cited by in F6Publishing: 86]  [Article Influence: 17.2]  [Reference Citation Analysis (0)]
41.  Naz I, Merarchi M, Ramchandani S, Khan MR, Malik MN, Sarwar S, Narula AS, Ahn KS. An overview of the anti-cancer actions of Tanshinones, derived from Salvia miltiorrhiza (Danshen). Explor Target Antitumor Ther. 2020;1:153-170.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1]  [Reference Citation Analysis (0)]
42.  Li J, Huang Y, Zhao S, Guo Q, Zhou J, Han W, Xu Y. Based on network pharmacology to explore the molecular mechanisms of astragalus membranaceus for treating T2 diabetes mellitus. Ann Transl Med. 2019;7:633.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 20]  [Cited by in F6Publishing: 28]  [Article Influence: 5.6]  [Reference Citation Analysis (0)]
43.  Huang WH, Liao WR, Sun RX. Astragalus polysaccharide induces the apoptosis of human hepatocellular carcinoma cells by decreasing the expression of Notch1. Int J Mol Med. 2016;38:551-557.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 27]  [Cited by in F6Publishing: 37]  [Article Influence: 4.6]  [Reference Citation Analysis (0)]
44.  Li C, Pan XY, Ma M, Zhao J, Zhao F, Lv YP. Astragalus polysacharin inhibits hepatocellular carcinoma-like phenotypes in a murine HCC model through repression of M2 polarization of tumour-associated macrophages. Pharm Biol. 2021;59:1533-1539.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 4]  [Cited by in F6Publishing: 9]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
45.  Lu L, Peng J, Wan P, Peng H, Lu J, Xiong G. Mechanism of Tripterygium wilfordii Hook.F.- Trichosanthes kirilowii Maxim decoction in treatment of diabetic kidney disease based on network pharmacology and molecular docking. Front Pharmacol. 2022;13:940773.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
46.  Lo HY, Li TC, Yang TY, Li CC, Chiang JH, Hsiang CY, Ho TY. Hypoglycemic effects of Trichosanthes kirilowii and its protein constituent in diabetic mice: the involvement of insulin receptor pathway. BMC Complement Altern Med. 2017;17:53.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 23]  [Cited by in F6Publishing: 14]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
47.  Zhao H, Song L. TKP, a Serine Protease from Trichosanthes kirilowii, Inhibits Cell Proliferation by Blocking Aerobic Glycolysis in Hepatocellular Carcinoma Cells. Nutr Cancer. 2022;74:333-345.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3]  [Cited by in F6Publishing: 6]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
48.  Wu K, Liang T, Duan X, Xu L, Zhang K, Li R. Anti-diabetic effects of puerarin, isolated from Pueraria lobata (Willd.), on streptozotocin-diabetogenic mice through promoting insulin expression and ameliorating metabolic function. Food Chem Toxicol. 2013;60:341-347.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 70]  [Cited by in F6Publishing: 73]  [Article Influence: 6.6]  [Reference Citation Analysis (0)]
49.  Yang L, Chen J, Lu H, Lai J, He Y, Liu S, Guo X. Pueraria lobata for Diabetes Mellitus: Past, Present and Future. Am J Chin Med. 2019;47:1419-1444.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 16]  [Cited by in F6Publishing: 26]  [Article Influence: 5.2]  [Reference Citation Analysis (0)]
50.  Zhou Y, Xue R, Wang J, Ren H. Puerarin inhibits hepatocellular carcinoma invasion and metastasis through miR-21-mediated PTEN/AKT signaling to suppress the epithelial-mesenchymal transition. Braz J Med Biol Res. 2020;53:e8882.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 12]  [Cited by in F6Publishing: 25]  [Article Influence: 6.3]  [Reference Citation Analysis (0)]
51.  Yan S, Lu W, Zhou J, Guo X, Li J, Cheng H, Zhu X, Zhao Y, Duan M, Yang H, Zhang Y, Wang Q, Chen L, Zheng T. Aqueous extract of Scrophularia ningpoensis improves insulin sensitivity through AMPK-mediated inhibition of the NLRP3 inflammasome. Phytomedicine. 2022;104:154308.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1]  [Cited by in F6Publishing: 1]  [Article Influence: 0.5]  [Reference Citation Analysis (0)]
52.  Ren D, Shen ZY, Qin LP, Zhu B. Pharmacology, phytochemistry, and traditional uses of Scrophularia ningpoensis Hemsl. J Ethnopharmacol. 2021;269:113688.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 12]  [Cited by in F6Publishing: 27]  [Article Influence: 9.0]  [Reference Citation Analysis (0)]
53.  Fu P, Du F, Liu Y, Hong Y, Yao M, Zheng S. Wogonin increases doxorubicin sensitivity by down-regulation of IGF-1R/AKT signaling pathway in human breast cancer. Cell Mol Biol (Noisy-le-grand). 2015;61:123-127.  [PubMed]  [DOI]  [Cited in This Article: ]
54.  Na HY, Lee BC. Scutellaria baicalensis Alleviates Insulin Resistance in Diet-Induced Obese Mice by Modulating Inflammation. Int J Mol Sci. 2019;20.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 14]  [Cited by in F6Publishing: 23]  [Article Influence: 4.6]  [Reference Citation Analysis (0)]
55.  Liu D, Wang Z, Zhong L, Xie C, Huang X, Zhi Y, Zhang Y, Liang J, Shi Z, Huang J, Zhang S, Zhang J, Ding F. Targets and Potential Mechanism of Scutellaria baicalensis in Treatment of Primary Hepatocellular Carcinoma Based on Bioinformatics Analysis. J Oncol. 2022;2022:8762717.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 2]  [Reference Citation Analysis (0)]
56.  Wang LY, Wang Y, Xu DS, Ruan KF, Feng Y, Wang S. MDG-1, a polysaccharide from Ophiopogon japonicus exerts hypoglycemic effects through the PI3K/Akt pathway in a diabetic KKAy mouse model. J Ethnopharmacol. 2012;143:347-354.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 72]  [Cited by in F6Publishing: 70]  [Article Influence: 5.8]  [Reference Citation Analysis (0)]
57.  Yuan F, Gao Q, Tang H, Shi J, Zhou Y. OphiopogoninB targets PTP1B to inhibit the malignant progression of hepatocellular carcinoma by regulating the PI3K/AKT and AMPK signaling pathways. Mol Med Rep. 2022;25.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3]  [Cited by in F6Publishing: 1]  [Article Influence: 0.5]  [Reference Citation Analysis (0)]
58.  Chen JH, Chiang IT, Hsu FT. Protein Kinase B Inactivation Is Associated with Magnolol-Enhanced Therapeutic Efficacy of Sorafenib in Hepatocellular Carcinoma In Vitro and In Vivo. Cancers (Basel). 2019;12.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 9]  [Cited by in F6Publishing: 10]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
59.  Zhang C, Fan L, Fan S, Wang J, Luo T, Tang Y, Chen Z, Yu L. Cinnamomum cassia Presl: A Review of Its Traditional Uses, Phytochemistry, Pharmacology and Toxicology. Molecules. 2019;24.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 57]  [Cited by in F6Publishing: 96]  [Article Influence: 19.2]  [Reference Citation Analysis (0)]
60.  Moon EY, Lee MR, Wang AG, Lee JH, Kim HC, Kim HM, Kim JM, Kwon BM, Yu DY. Delayed occurrence of H-ras12V-induced hepatocellular carcinoma with long-term treatment with cinnamaldehydes. Eur J Pharmacol. 2006;530:270-275.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 26]  [Cited by in F6Publishing: 22]  [Article Influence: 1.2]  [Reference Citation Analysis (0)]
61.  Bhattamisra SK, Koh HM, Lim SY, Choudhury H, Pandey M. Molecular and Biochemical Pathways of Catalpol in Alleviating Diabetes Mellitus and Its Complications. Biomolecules. 2021;11.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 10]  [Cited by in F6Publishing: 29]  [Article Influence: 9.7]  [Reference Citation Analysis (0)]
62.  Chao JC, Chiang SW, Wang CC, Tsai YH, Wu MS. Hot water-extracted Lycium barbarum and Rehmannia glutinosa inhibit proliferation and induce apoptosis of hepatocellular carcinoma cells. World J Gastroenterol. 2006;12:4478-4484.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in CrossRef: 70]  [Cited by in F6Publishing: 58]  [Article Influence: 3.2]  [Reference Citation Analysis (0)]
63.  Wang K, Cao P, Shui W, Yang Q, Tang Z, Zhang Y. Angelica sinensis polysaccharide regulates glucose and lipid metabolism disorder in prediabetic and streptozotocin-induced diabetic mice through the elevation of glycogen levels and reduction of inflammatory factors. Food Funct. 2015;6:902-909.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 47]  [Cited by in F6Publishing: 48]  [Article Influence: 5.3]  [Reference Citation Analysis (0)]
64.  Cheng Y, Zhou J, Li Q, Liu Y, Wang K, Zhang Y. The effects of polysaccharides from the root of Angelica sinensis on tumor growth and iron metabolism in H22-bearing mice. Food Funct. 2016;7:1033-1039.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 17]  [Cited by in F6Publishing: 25]  [Article Influence: 3.1]  [Reference Citation Analysis (0)]
65.  Nasiri K, Akbari A, Nimrouzi M, Ruyvaran M, Mohamadian A. Safflower seed oil improves steroidogenesis and spermatogenesis in rats with type II diabetes mellitus by modulating the genes expression involved in steroidogenesis, inflammation and oxidative stress. J Ethnopharmacol. 2021;275:114139.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 25]  [Cited by in F6Publishing: 23]  [Article Influence: 7.7]  [Reference Citation Analysis (0)]
66.  Yang F, Li J, Zhu J, Wang D, Chen S, Bai X. Hydroxysafflor yellow A inhibits angiogenesis of hepatocellular carcinoma via blocking ERK/MAPK and NF-κB signaling pathway in H22 tumor-bearing mice. Eur J Pharmacol. 2015;754:105-114.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 65]  [Cited by in F6Publishing: 69]  [Article Influence: 7.7]  [Reference Citation Analysis (0)]
67.  Ma Z, Chu L, Liu H, Wang W, Li J, Yao W, Yi J, Gao Y. Beneficial effects of paeoniflorin on non-alcoholic fatty liver disease induced by high-fat diet in rats. Sci Rep. 2017;7:44819.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 51]  [Cited by in F6Publishing: 76]  [Article Influence: 10.9]  [Reference Citation Analysis (0)]
68.  Lee SM, Li ML, Tse YC, Leung SC, Lee MM, Tsui SK, Fung KP, Lee CY, Waye MM. Paeoniae Radix, a Chinese herbal extract, inhibit hepatoma cells growth by inducing apoptosis in a p53 independent pathway. Life Sci. 2002;71:2267-2277.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 109]  [Cited by in F6Publishing: 114]  [Article Influence: 5.2]  [Reference Citation Analysis (0)]
69.  Ma X, Zhang W, Jiang Y, Wen J, Wei S, Zhao Y. Paeoniflorin, a Natural Product With Multiple Targets in Liver Diseases-A Mini Review. Front Pharmacol. 2020;11:531.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 24]  [Cited by in F6Publishing: 57]  [Article Influence: 14.3]  [Reference Citation Analysis (0)]
70.  Masci A, Carradori S, Casadei MA, Paolicelli P, Petralito S, Ragno R, Cesa S. Lycium barbarum polysaccharides: Extraction, purification, structural characterisation and evidence about hypoglycaemic and hypolipidaemic effects. A review. Food Chem. 2018;254:377-389.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 133]  [Cited by in F6Publishing: 118]  [Article Influence: 19.7]  [Reference Citation Analysis (0)]
71.  Zhao XQ, Guo S, Lu YY, Hua Y, Zhang F, Yan H, Shang EX, Wang HQ, Zhang WH, Duan JA. Lycium barbarum L. leaves ameliorate type 2 diabetes in rats by modulating metabolic profiles and gut microbiota composition. Biomed Pharmacother. 2020;121:109559.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 39]  [Cited by in F6Publishing: 60]  [Article Influence: 12.0]  [Reference Citation Analysis (0)]
72.  Feng M, Liu F, Xing J, Zhong Y, Zhou X. Anemarrhena saponins attenuate insulin resistance in rats with high-fat diet-induced obesity via the IRS-1/PI3K/AKT pathway. J Ethnopharmacol. 2021;277:114251.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 14]  [Cited by in F6Publishing: 15]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
73.  Kang JH, Song KH, Woo JK, Park MH, Rhee MH, Choi C, Oh SH. Ginsenoside Rp1 from Panax ginseng exhibits anti-cancer activity by down-regulation of the IGF-1R/Akt pathway in breast cancer cells. Plant Foods Hum Nutr. 2011;66:298-305.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 52]  [Cited by in F6Publishing: 54]  [Article Influence: 4.2]  [Reference Citation Analysis (0)]
74.  Ding L, Yang Q, Zhang E, Wang Y, Sun S, Yang Y, Tian T, Ju Z, Jiang L, Wang X, Wang Z, Huang W, Yang L. Notoginsenoside Ft1 acts as a TGR5 agonist but FXR antagonist to alleviate high fat diet-induced obesity and insulin resistance in mice. Acta Pharm Sin B. 2021;11:1541-1554.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 31]  [Cited by in F6Publishing: 48]  [Article Influence: 16.0]  [Reference Citation Analysis (0)]
75.  Bai L, Gao J, Wei F, Zhao J, Wang D, Wei J. Therapeutic Potential of Ginsenosides as an Adjuvant Treatment for Diabetes. Front Pharmacol. 2018;9:423.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 97]  [Cited by in F6Publishing: 125]  [Article Influence: 20.8]  [Reference Citation Analysis (0)]
76.  Qu Y, Wang Z, Zhao F, Liu J, Zhang W, Li J, Song Z, Xu H. AFM-detected apoptosis of hepatocellular carcinoma cells induced by American ginseng root water extract. Micron. 2018;104:1-7.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 14]  [Cited by in F6Publishing: 18]  [Article Influence: 2.6]  [Reference Citation Analysis (0)]
77.  Jafari F, Jafari M, Moghadam AT, Emami SA, Jamialahmadi T, Mohammadpour AH, Sahebkar A. A Review of Glycyrrhiza glabra (Licorice) Effects on Metabolic Syndrome. Adv Exp Med Biol. 2021;1328:385-400.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 1]  [Reference Citation Analysis (0)]
78.  Chen J, Jin X, Chen J, Liu C. Glycyrrhiza polysaccharide induces apoptosis and inhibits proliferation of human hepatocellular carcinoma cells by blocking PI3K/AKT signal pathway. Tumour Biol. 2013;34:1381-1389.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 25]  [Cited by in F6Publishing: 20]  [Article Influence: 1.8]  [Reference Citation Analysis (0)]