Discover Oncology· 2026Q2
Decompressing entangled mechanisms within chronologic age defines the true value of age as a clinical signal in oncology
- 0citations
- Q2SCImago
- 2026year
Short summary
Chronologic age in oncology, while a useful population-level predictor, poorly explains individual tumor states; a new framework decomposes age into host aging, tumor evolution, and ecological selection to reveal its underlying mechanistic basis.
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Key points
- Chronologic age is a composite variable with population-level predictive value but limited individual biological explanation in cancer.
- Secondary analyses of lung adenocarcinoma cohorts indicate age explains little interindividual variation in tumor states.
- Age retains prognostic information even after adjusting for clinical factors, highlighting multidimensionally heterogeneous risk sources.
- A proposed 'age-decompression' framework examines age-associated risk across host aging, tumor evolution, and ecological selection.
AI-generated from the title and abstract; the full text is not read.
Abstract
Chronologic age remains an important reference for cancer risk stratification and treatment decision-making, but it is fundamentally a composite variable that aggregates multiple biological processes and clinical factors. It therefore retains population-level predictive value while providing limited biological explanation at the individual level. We synthesize evidence from aging biology and geriatric oncology and conduct illustrative secondary analyses using public lung adenocarcinoma cohorts. Chronologic age explained little of the interindividual variation in tumor and microenvironmental states yet retained prognostic information after adjustment for routine clinical factors, indicating that the risk sources carried by age are multidimensionally heterogeneous. On this basis, we propose an age-decompression framework in which age-associated risk is examined across host aging, tumor evolution, ecological selection, and related clinical factors. The framework is not intended to replace chronologic age. Instead, it seeks to identify the underlying basis of its predictive value by repositioning chronologic age from a single biological proxy to a risk signal that requires further resolution, thereby moving research on cancer and aging from age-based prediction toward mechanistic understanding.
The authors' abstract, as published at the source. Discover Oncology, 2026 · DOI ↗
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AgingBiochemistry, Genetics and Molecular Biology