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Chen YR, Zhao RT, Xu YF, Ma YJ, Hu SB, Wang XH, Fan BB, Zhou YJ, Huang YB, Robinson N, Liu JP, Liu ZL. Chinese herbal injections in combination with radiotherapy for advanced pancreatic cancer: A systematic review and network meta-analysis. Integr Med Res 2023; 12:101004. [PMID: 38033651 PMCID: PMC10681939 DOI: 10.1016/j.imr.2023.101004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 10/22/2023] [Accepted: 10/25/2023] [Indexed: 12/02/2023] Open
Abstract
Background Advanced pancreatic cancer (APC) is a fatal disease with limited treatment options. This study aims to evaluate the effectiveness and safety of different Chinese herbal injections (CHIs) as adjuvants for radiotherapy (RT) in APC and compare their treatment potentials using network meta-analysis. Methods We systematically searched three English and four Chinese databases for randomized controlled trials (RCTs) from inception to July 25, 2023. The primary outcome was the objective response rate (ORR). Secondary outcomes included Karnofsky performance status (KPS) score, overall survival (OS), and adverse events (AEs). The treatment potentials of different CHIs were ranked using the surface under the cumulative ranking curve (SUCRA). The Cochrane RoB 2 tool and CINeMA were used for quality assessment and evidence grading. Results Eighteen RCTs involving 1199 patients were included. Five CHIs were evaluated. Compound Kushen injection (CKI) combined with RT significantly improved ORR compared to RT alone (RR 1.49, 95 % CrI 1.21-1.86). Kanglaite (KLT) plus RT (RR 1.58, 95 % CrI 1.20-2.16) and CKI plus RT (RR 1.49, 95 % CrI 1.16-1.95) were associated with improved KPS score compared to radiation monotherapy, with KLT+RT being the highest rank (SUCRA 72.28 %). Regarding AEs, CKI plus RT was the most favorable in reducing the incidence of leukopenia (SUCRA 90.37 %) and nausea/vomiting (SUCRA 85.79 %). Conclusions CKI may be the optimal choice of CHIs to combine with RT for APC as it may improve clinical response, quality of life, and reduce AEs. High-quality trials are necessary to establish a robust body of evidence. Protocol registration PROSPERO, CRD42023396828.
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Affiliation(s)
- Yun-Ru Chen
- Centre for Evidence-based Chinese Medicine, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Ruo-Tong Zhao
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Yi-Fang Xu
- Department of Oncology, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China
| | - Yin-Jie Ma
- Wangjing Hospital, Chinese Academy of Traditional Chinese Medicine, Beijing, China
| | - Shao-Bo Hu
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing, China
| | - Xue-Hui Wang
- Centre for Evidence-based Chinese Medicine, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Bing-Bing Fan
- Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Yan-Ji Zhou
- Health Management Department, Aerospace Center Hospital, Beijing, China
| | - Yu-Bei Huang
- Department of Epidemiology and Biostatistics, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Nicola Robinson
- Centre for Evidence-based Chinese Medicine, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
- School of Health and Social Care, London South Bank University, London, UK
| | - Jian-Ping Liu
- Centre for Evidence-based Chinese Medicine, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Zhao-Lan Liu
- Centre for Evidence-based Chinese Medicine, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
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Hu Q, Ye D, Xudong Z, Wang Q, Gou H, Luo T. Optimum duration of extended adjuvant endocrine therapy in patients with hormone receptor-positive breast cancer: protocol for a network meta-analysis of randomised controlled trials. BMJ Open 2023; 13:e070972. [PMID: 37080619 PMCID: PMC10124296 DOI: 10.1136/bmjopen-2022-070972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/22/2023] Open
Abstract
INTRODUCTION The type of extended adjuvant endocrine therapy is not clear, nor is the optimum duration of extended adjuvant endocrine therapy for patients with early breast cancer. Our study aims to satisfy the requirements for systematically identifying and synthesising the available evidence on the clinical safety and efficacy of extended adjuvant endocrine therapy for patients with hormone receptor-positive early breast cancer. METHODS AND ANALYSIS A comprehensive electronic literature database search will be performed using three electronic databases: PubMed, Cochrane Library and Embase (Ovid interface). Our main outcomes of interest were overall survival, disease-free survival, relapse-free survival, invasive contralateral breast cancer, acceptability and grades 3 and 4 non-haematological toxicities in this study. We will assess the risk of bias and overall quality of evidence using the Cochrane Collaboration's tool and Grades of Recommendation, Assessment, Development and Evaluation, respectively. We will perform subgroup and sensitivity analyses in the selected trials. We will assess the three key assumptions of network meta-analysis: transitivity, consistency and homogeneity. ETHICS AND DISSEMINATION The protocol was preregistered in the International Prospective Register of Systematic Reviews (PROSPERO) database. Ethics approval and patient consent are not required for the network meta-analysis. The final results of this network meta-analysis will be disseminated through national and international conferences and published in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER CRD42021278271.
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Affiliation(s)
- Qiancheng Hu
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
- Gastric Cancer Center and Laboratory of Gastric Cancer, West China Hospital, Sichuan University, Chengdu, China
| | - Daoli Ye
- Gastric Cancer Center, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China
| | - Zhao Xudong
- Laboratory of Animal Tumor Models, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Qingfeng Wang
- Division of Abdominal Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China
| | - Hongfeng Gou
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
- Gastric Cancer Center and Laboratory of Gastric Cancer, West China Hospital, Sichuan University, Chengdu, China
| | - Ting Luo
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
- Breast Center, West China Hospital, Sichuan University, Chengdu, China
- Multi-omics Laboratory of Breast Diseases, State Key Laboratory of Biotherapy, National Collaborative, Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu, China
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Wang H, Wu Z, Fan X, Wu C, Lu S, Geng L, Stalin A, Zhu Y, Zhang F, Huang J, Liu P, Li H, You L, Wu J. Identification of key pharmacological components and targets for Aidi injection in the treatment of pancreatic cancer by UPLC-MS, network pharmacology, and in vivo experiments. Chin Med 2023; 18:7. [PMID: 36641437 PMCID: PMC9840244 DOI: 10.1186/s13020-023-00710-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 01/08/2023] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Pancreatic cancer is one of the most lethal cancers worldwide. Aidi injection (ADI) is a representative antitumor medication based on Chinese herbal injection, but its antitumor mechanisms are still poorly understood. MATERIALS AND METHODS In this work, the subcutaneous xenograft model of human pancreatic cancer cell line Panc-1 was established in nude mice to investigate the anticancer effect of ADI in vivo. We then determined the components of ADI using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS) and explored the possible molecular mechanisms against pancreatic cancer using network pharmacology. RESULTS In vivo experiments, the volume, weight, and degree of histological abnormalities of implanted tumors were significantly lower in the medium and high concentration ADI injection groups than in the control group. Network pharmacology analysis identified four active components of ADI and seven key targets, TNF, VEGFA, HSP90AA1, MAPK14, CASP3, P53 and JUN. Molecular docking also revealed high affinity between the active components and the target proteins, including Astragaloside IV to P53 and VEGFA, Ginsenoside Rb1 to CASP3 and Formononetin to JUN. CONCLUSION ADI could reduce the growth rate of tumor tissue and alleviate the structural abnormalities in tumor tissue. ADI is predicted to act on VEGFA, P53, CASP3, and JUN in ADI-mediated treatment of pancreatic cancer.
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Affiliation(s)
- Haojia Wang
- grid.24695.3c0000 0001 1431 9176Department of Clinical Chinese Pharmacy, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 100102 China
| | - Zhishan Wu
- grid.24695.3c0000 0001 1431 9176Department of Clinical Chinese Pharmacy, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 100102 China
| | - Xiaotian Fan
- School of Chinese Medicine, Bozhou University, Bozhou, 236800 China
| | - Chao Wu
- grid.24695.3c0000 0001 1431 9176Department of Clinical Chinese Pharmacy, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 100102 China
| | - Shan Lu
- grid.24695.3c0000 0001 1431 9176Department of Clinical Chinese Pharmacy, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 100102 China
| | - Libo Geng
- Guizhou Yibai Pharmaceutical Co. Ltd, Guiyang, 550008 Guizhou China
| | - Antony Stalin
- grid.54549.390000 0004 0369 4060Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, 610054 China
| | - Yingli Zhu
- grid.24695.3c0000 0001 1431 9176Department of Clinical Chinese Pharmacy, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 100102 China
| | - Fanqin Zhang
- grid.24695.3c0000 0001 1431 9176Department of Clinical Chinese Pharmacy, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 100102 China
| | - Jiaqi Huang
- grid.24695.3c0000 0001 1431 9176Department of Clinical Chinese Pharmacy, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 100102 China
| | - Pengyun Liu
- grid.24695.3c0000 0001 1431 9176Department of Clinical Chinese Pharmacy, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 100102 China
| | - Huiying Li
- grid.66741.320000 0001 1456 856XSchool of Biology, Beijing Forestry University, Beijing, 100091 China
| | - Leiming You
- grid.24695.3c0000 0001 1431 9176School of Life Sciences, Beijing University of Chinese Medicine, Beijing, 100102 China
| | - Jiarui Wu
- grid.24695.3c0000 0001 1431 9176Department of Clinical Chinese Pharmacy, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 100102 China
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Xu PL, Cheng CS, Jiao JY, Chen H, Chen Z, Li P. Matrine injection inhibits pancreatic cancer growth via modulating carbonic anhydrases- a network pharmacology-based study with in vitro validation. JOURNAL OF ETHNOPHARMACOLOGY 2022; 287:114691. [PMID: 34597654 DOI: 10.1016/j.jep.2021.114691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Revised: 09/14/2021] [Accepted: 09/25/2021] [Indexed: 06/13/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Matrine injection is a complex mixture of plant bioactive substances extracted from Sophora flavescens Aiton and Smilax glabra Roxb. Since its approval by the Chinese Food and Drug Administration (CFDA) in 1995, Matrine injection has been clinically used as a complementary and alternative treatment for various cancers; however, the underlying mechanism of pancreatic cancer treatment is yet to be elucidated. AIM OF THE STUDY The present study explores the potential mechanism of matrine injection on pancreatic cancer through network pharmacology technique and in vitro experimental validation. MATERIALS AND METHODS Genes differentially expressed in pancreatic cancer were obtained from the Gene Expression Omnibus (GEO) database (GSE101448). The potential active components of matrine injection were selected following a literature search, and target prediction was performed by the SwissTarget Prediction database. Overlapping genes associated with survival were screened by the Gene Expression Profiling Interactive Analysis (GEPIA) database. In vitro experimental validation was performed with cell counting kit-8 (CCK-8) assay, apoptosis detection, cell cycle analysis, immunoblotting, and co-immunoprecipitation of the identified proteins. RESULTS One thousand seven hundred genes differentially expressed among pancreatic tumor and non-tumor tissues were screened out. Sixteen active components and 226 predicted target genes were identified in matrine injection. A total of 25 potential target genes of matrine injection for the treatment of pancreatic cancer were obtained. Among them, the prognostic target genes carbonic anhydrase 9 (CA9) and carbonic anhydrase 12 (CA12) based on the GEPIA database are differently expressed in tumors compared to adjacent normal tissue. In vitro experiments, the results of CCK-8 assay, apoptosis and cell cycle analysis, immunoblotting, and co-immunoprecipitation showed that matrine injection inhibited Capan-1 and Mia paca-2 proliferation, arrested the cell cycle at the S phase, and induced apoptosis through up-regulated CA12 and down-regulated CA9. CONCLUSIONS In this study, bioinformatics and network pharmacology were applied to explore the treatment mechanism on pancreatic cancer with matrine injection. This study demonstrated that matrine injection inhibited proliferation, arrested the cell cycle, and induced apoptosis of pancreatic cancer cells. The mechanism may be related to the induction of CA12 over-expression, and CA9 reduced expression. As novel targets for pancreatic cancer treatment, Carbonic anhydrases require further study.
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Affiliation(s)
- Pan-Ling Xu
- Department of Chinese Integrative Medicine Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China.
| | - Chien-Shan Cheng
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
| | - Ju-Ying Jiao
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
| | - Hao Chen
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
| | - Zhen Chen
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
| | - Ping Li
- Department of Chinese Integrative Medicine Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China.
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