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Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Decoding the tumor-aging axis: from bench to clinical
Yuxin Wang1,2, Guitong Lv3, Xinyue Gao2
1School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China.
Aging significantly increases cancer risk by altering tissue homeostasis and immune function. This bidirectional relationship accelerates aging, highlighting the need for interventions targeting the tumor-aging axis.
Area of Science:
- Gerontology and Oncology
- Molecular Biology
- Immunology
Background:
- Population aging is a primary risk factor for cancer.
- Aging impacts multiple biological dimensions, creating a pro-tumorigenic environment.
- Cancer progression can reciprocally accelerate organismal aging.
Purpose of the Study:
- To review the mechanistic, clinical, and translational evidence defining the tumor-aging axis.
- To elucidate the bidirectional relationship between aging and cancer.
- To discuss emerging strategies for interrupting this pathogenic cycle.
Main Methods:
- Synthesis of mechanistic evidence.
- Review of clinical data.
- Analysis of translational research.
Main Results:
- Aging reshapes tissue homeostasis (genetic, epigenetic, metabolic, immune) creating a tumor-permissive landscape.
- Senescence and SASP promote immune suppression and weaken tumor surveillance.
- Cancer accelerates aging through stem cell niche disruption and metabolic dysregulation.
Conclusions:
- Aging and cancer form a self-reinforcing network, not a linear cause-effect relationship.
- Understanding the tumor-aging axis is crucial for developing novel therapeutic strategies.
- Interventions targeting this axis hold promise for combating age-related cancers.
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