Network-based approaches for anticancer therapy (Review)
Hyunjeong Seo1, Wanyeon Kim, Jihyung Lee
1Department of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 609-735, Republic of Korea.
Abstract:
Cancer is a complex disease resulting from alterations of multiple signaling networks. Cancer networks have been identified as scale-free networks and may contain a functionally important key player called a hub that is linked to a large number of interactors. Since a hub can serve as a biological marker in a given network, targeting the hub could be an effective strategy for enhancing the efficacy of cancer treatment. Chemotherapies and radiotherapies are generally used to treat tumors not amenable to resection, and target single or multiple molecules associated with hubs. However, these therapies may unexpectedly induce the resistance of cancer cells to drugs and radiation. Cancer cells can overcome therapy-induced damage via the activation of back-up signaling pathways and flexible modulation of affected networks. These activities are considered to be the main reasons for chemoresistance and radioresistance, and subsequent failure of cancer therapies. Much effort is required to identify the key molecules that control the modulation of signaling networks in response to drugs and radiation. Network-based therapy that affects network flexibility, including rewired network structures and hub molecules in these networks, could minimize the occurrence of side-effects and be a promising strategy for enhancing the therapeutic efficacy of cancer treatments. This review is intended to offer an overview of current research efforts including ones focused on cancer-associated complex networks, their modulation in response to cancer therapy, and further strategies targeting networks that may improve cancer treatment efficacy.
Insights
Cancer cells develop resistance to therapies by altering signaling networks. Targeting key molecular hubs within these networks offers a promising strategy to improve cancer treatment efficacy and reduce side effects.
Area of Science:
- Systems Biology
- Cancer Biology
- Network Medicine
Background:
- Cancer involves complex alterations in multiple signaling networks, often exhibiting scale-free properties with critical 'hub' molecules.
- Hubs are vital network components and potential biomarkers; targeting them could enhance cancer treatment effectiveness.
- Current therapies like chemotherapy and radiotherapy can paradoxically induce cancer cell resistance by activating alternative pathways.
Purpose of the Study:
- To review current research on cancer-associated complex networks.
- To examine how these networks modulate in response to cancer therapy.
- To explore network-based therapeutic strategies for improving cancer treatment outcomes.
Main Methods:
- Review of existing literature on cancer signaling networks and therapeutic responses.
- Analysis of network properties, including scale-free characteristics and hub identification.
- Discussion of network modulation mechanisms and their role in chemoresistance and radioresistance.
Main Results:
- Cancer networks are dynamic and can rewire in response to therapy, leading to resistance.
- Hub molecules play a crucial role in network flexibility and therapy-induced adaptations.
- Identifying key molecules controlling network modulation is essential for overcoming treatment failure.
Conclusions:
- Network-based therapies targeting network flexibility and hub molecules show promise for improving cancer treatment.
- Understanding and manipulating cancer network dynamics can minimize side effects and enhance therapeutic efficacy.
- Further research into network modulation is critical for developing more effective cancer treatments.
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