Literature DB >> 27329331

Network pharmacology of cancer: From understanding of complex interactomes to the design of multi-target specific therapeutics from nature.

Paramasivan Poornima1, Jothi Dinesh Kumar2, Qiaoli Zhao3, Martina Blunder4, Thomas Efferth5.   

Abstract

Despite massive investments in drug research and development, the significant decline in the number of new drugs approved or translated to clinical use raises the question, whether single targeted drug discovery is the right approach. To combat complex systemic diseases that harbour robust biological networks such as cancer, single target intervention is proved to be ineffective. In such cases, network pharmacology approaches are highly useful, because they differ from conventional drug discovery by addressing the ability of drugs to target numerous proteins or networks involved in a disease. Pleiotropic natural products are one of the promising strategies due to their multi-targeting and due to lower side effects. In this review, we discuss the application of network pharmacology for cancer drug discovery. We provide an overview of the current state of knowledge on network pharmacology, focus on different technical approaches and implications for cancer therapy (e.g. polypharmacology and synthetic lethality), and illustrate the therapeutic potential with selected examples green tea polyphenolics, Eleutherococcus senticosus, Rhodiola rosea, and Schisandra chinensis). Finally, we present future perspectives on their plausible applications for diagnosis and therapy of cancer.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Eleutherococcus senticosus; Genomics; Green tea polyphenolics; Lithospermum erythrorhizon; Metabolomics; Polypharmacology; Proteomics; Rhodiola rosea; Schisandra chinensis; Synthetic lethality; Systems biology; Transcriptomics

Mesh:

Substances:

Year:  2016        PMID: 27329331     DOI: 10.1016/j.phrs.2016.06.018

Source DB:  PubMed          Journal:  Pharmacol Res        ISSN: 1043-6618            Impact factor:   7.658


  43 in total

Review 1.  Network Pharmacology in Research of Chinese Medicine Formula: Methodology, Application and Prospective.

Authors:  Ting-Ting Luo; Yuan Lu; Shi-Kai Yan; Xue Xiao; Xiang-Lu Rong; Jiao Guo
Journal:  Chin J Integr Med       Date:  2019-04-02       Impact factor: 1.978

2.  Extended Multitarget Pharmacology of Anticancer Drugs.

Authors:  Da Shi; Feroz Khan; Ruben Abagyan
Journal:  J Chem Inf Model       Date:  2019-05-03       Impact factor: 4.956

3.  Exploration of the System-Level Mechanisms of the Herbal Drug FDY003 for Pancreatic Cancer Treatment: A Network Pharmacological Investigation.

Authors:  Ho-Sung Lee; In-Hee Lee; Kyungrae Kang; Sang-In Park; Minho Jung; Seung Gu Yang; Tae-Wook Kwon; Dae-Yeon Lee
Journal:  Evid Based Complement Alternat Med       Date:  2022-05-10       Impact factor: 2.650

4.  Bibliometric Analysis of Network Pharmacology in Traditional Chinese Medicine.

Authors:  Runpei Miao; Qinggang Meng; Chennan Wang; Wenjing Yuan
Journal:  Evid Based Complement Alternat Med       Date:  2022-06-15       Impact factor: 2.650

5.  Correlation between heat shock proteins, adiponectin, and T lymphocyte cytokine expression in type 2 diabetics.

Authors:  Fadia F Mahmoud; David Haines; Ali A Dashti; Sherief El-Shazly; Fawzia Al-Najjar
Journal:  Cell Stress Chaperones       Date:  2018-05-11       Impact factor: 3.667

6.  Ellagic acid and human cancers: a systems pharmacology and docking study to identify principal hub genes and main mechanisms of action.

Authors:  Hamid Cheshomi; Ahmad Reza Bahrami; Maryam M Matin
Journal:  Mol Divers       Date:  2020-05-14       Impact factor: 2.943

7.  Prediction of Targets of Curculigoside A in Osteoporosis and Rheumatoid Arthritis Using Network Pharmacology and Experimental Verification.

Authors:  Jiawen Han; Minjie Wan; Zhanchuan Ma; Cong Hu; Huanfa Yi
Journal:  Drug Des Devel Ther       Date:  2020-11-26       Impact factor: 4.162

8.  Cryptotanshinone Inhibits ERα-Dependent and -Independent BCRP Oligomer Formation to Reverse Multidrug Resistance in Breast Cancer.

Authors:  Wenting Ni; Hui Fan; Xiuqin Zheng; Fangming Xu; Yuanyuan Wu; Xiaoman Li; Aiyun Wang; Shile Huang; Wenxing Chen; Shijun Wang; Yin Lu
Journal:  Front Oncol       Date:  2021-04-22       Impact factor: 6.244

9.  Mechanism of Tetrandrine Against Endometrial Cancer Based on Network Pharmacology.

Authors:  Wenqian Shang; Jing Zhang; Haibo Song; Shunfei Zhu; Aimin Zhang; Yushuang Hua; Shujun Han; Yan Fu
Journal:  Drug Des Devel Ther       Date:  2021-07-06       Impact factor: 4.162

10.  Combination of Heme Oxygenase-1 Inhibition and Sigma Receptor Modulation for Anticancer Activity.

Authors:  Giuseppe Romeo; Valeria Ciaffaglione; Emanuele Amata; Maria Dichiara; Loredana Calabrese; Luca Vanella; Valeria Sorrenti; Salvo Grosso; Agata Grazia D'Amico; Velia D'Agata; Sebastiano Intagliata; Loredana Salerno
Journal:  Molecules       Date:  2021-06-24       Impact factor: 4.411

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