ABSTRACT
Cancer survivors experience multiple age-related diseases that occur at earlier age than in cancer-free persons.
Thus, cancer survivors age faster than those without cancer, and the accelerated aging is driven by prolonged
cellular senescence. The detrimental role of senescence is mainly explained by the proteins that comprise
senescent-associated phenotype (SASP). These SASP proteins may be released into blood. The central
hypothesis of our proposed R21, responsive to PAR-23-255, is that, in cancer survivors, circulating post-
diagnosis SASP proteins are associated with an increased risk of mortality, increased risk of cardiovascular
death (CVD), and greater changes in frailty and kidney function. To assess circulating proteins after cancer
diagnosis, we will use proteomic data measured by highly sensitive SomaScan assay in a large population-
based cohort study – Atherosclerosis Risk in the Community (ARIC) of white and black participants. Using ~5000
SomaScan proteins measured three times over 20 years, we will create cross-sectional (Aim 1) and
longitudinal SASP indexes (Aim 2) that will include 133 functional, biologically meaningful proteins that
were identified in the published atlas of soluble SASP proteins. The unique feature of our novel longitudinal
SASP index is that it will combine the characteristics of the cross-sectional index and rate of change in each
SASP protein, and may better reflect the aging process than the cross-sectional metrics. The indexes will be
created in the training set of cancer-free participants, internally validated in the remaining cancer-free
participants, and then applied to cancer survivors to examine associations with all-cause mortality including
mortality from cancer and from other causes, as well as the CVD risk and changes in frailty and kidney function.
We will also explore whether associations of SASP indexes with outcomes differ in those with cancer and in
cancer-free participants. Our multi-disciplinary study team is well-prepared to lead this work, with complementary
expertise in cancer and molecular epidemiology, cancer survivorship and oncology, chronic disease, aging
biomarkers, biostatistics, and proteomics analysis. The use of existing well-characterized ARIC data will enable
a quick and cost-efficient testing of our hypothesis. The proposed study will have a significant impact because
SASP indexes are biologically meaningful, and understanding their role in cancer survivors will not only inform
risk-stratified cancer care and surveillance for age-related diseases, but may also serve as a potential target for
anti-senescence drugs that are currently in clinical trials or under development.
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- The DCCPS Team.