The intersection of aging and oncology represents a burgeoning area of research, driven by the increasing prevalence of cancer in the aging population. As individuals age, the risk of developing cancer escalates, necessitating a deeper understanding of the molecular mechanisms that underpin this relationship. Current research has identified that aging not only influences cancer initiation and progression but also impacts the efficacy of therapeutic interventions. Despite significant advancements, there remain critical gaps in our understanding of how aging-related changes at the molecular level contribute to cancer development and treatment resistance. Recent studies have begun to unravel these complex interactions, yet the need for comprehensive clinical trials that include elderly patients is paramount. Such trials are essential to develop personalized treatment strategies that cater to the unique physiological changes associated with aging, ultimately aiming to enhance the quality of life and treatment outcomes for elderly cancer patients.

This Research Topic aims to thoroughly investigate the molecular mechanisms by which aging affects tumor initiation and progression. Additionally, it seeks to foster the development of innovative cancer treatments that specifically target aging-related pathways and address the challenge of drug resistance in older patients. By focusing on these objectives, the research endeavors to craft personalized therapeutic strategies that are tailored to the needs of elderly cancer patients, thereby improving clinical outcomes and patient care.

To gather further insights into the complex relationship between aging and oncology, we welcome articles addressing, but not limited to, the following themes:
- Molecular mechanisms of aging in tumor development
- Development of novel drugs targeting the mechanisms by which aging influences tumor genesis and progression
- The mechanism behind aging-related drug resistance in cancer
- Exploration of personalized treatment plans for aging cancer patients

Please note that manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases, without accompanying validation, are outside the scope of this section and will not be accepted.

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Frontiers in Molecular Biosciences

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