Literature DB >> 31125640

Network-based cancer precision medicine: A new emerging paradigm.

Aidi Tan1, Huiya Huang1, Peng Zhang1, Shao Li2.   

Abstract

The complex interactions in biological systems have been shown to affect the response to single-targeted therapies which were initially developed under the "reductionist paradigm" of cancer precision medicine. To address these fundamental challenges, great efforts have been dedicated from a network perspective to explore the mechanisms underlying tumorigenesis and progression and to extend our understanding of cancer as a complex disease, which is exploiting new advances in cancer diagnosis, prevention, and treatment. This review summarizes recent progress of network applications in cancer precision medicine research, including biomarker identification, cancer patient stratification and network target recognition, highlights network-based systematic integrations across macro and micro networks, and discusses the tremendous potential of this new emerging network-based "systems paradigm" for precision medicine, which would ultimately make substantial progress for fighting cancer.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cancer precision medicine; Network biomarker; Network integration; Network target; Network-based precision medicine

Mesh:

Year:  2019        PMID: 31125640     DOI: 10.1016/j.canlet.2019.05.015

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  6 in total

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Authors:  Shujie Xia; Jia Zhang; Guodong Du; Shaozi Li; Chi Teng Vong; Zhaoyang Yang; Jiliang Xin; Long Zhu; Bizhen Gao; Candong Li
Journal:  Evid Based Complement Alternat Med       Date:  2020-11-26       Impact factor: 2.629

Review 2.  Prostate cancer screening research can benefit from network medicine: an emerging awareness.

Authors:  Valeria Panebianco; Martina Pecoraro; Giulia Fiscon; Paola Paci; Lorenzo Farina; Carlo Catalano
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Journal:  Chin Med       Date:  2021-03-03       Impact factor: 5.455

Review 4.  Artificial intelligence in cancer research: learning at different levels of data granularity.

Authors:  Davide Cirillo; Iker Núñez-Carpintero; Alfonso Valencia
Journal:  Mol Oncol       Date:  2021-02-20       Impact factor: 6.603

5.  Integrated Pharmacogenetics Analysis of the Three Fangjis Decoctions for Treating Arrhythmias Based on Molecular Network Patterns.

Authors:  Penglu Wei; Dehuai Long; Yupei Tan; Wenlong Xing; Xiang Li; Kuo Yang; Hongxu Liu
Journal:  Front Cardiovasc Med       Date:  2021-12-24

6.  FSTL3 is a Prognostic Biomarker in Gastric Cancer and is Correlated with M2 Macrophage Infiltration.

Authors:  Yuan-Jie Liu; Jie-Pin Li; Ying Zhang; Meng-Jun Nie; Yong-Hua Zhang; Shen-Lin Liu; Xi Zou
Journal:  Onco Targets Ther       Date:  2021-07-06       Impact factor: 4.147

  6 in total

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