Biomarkers of Cellular Senescence and their Association with Frailty, Clinical Outcomes, and Survival in Multiple Myeloma
Nadine Abdallah, Byron Smith, Thomas White, Amanda Heeren, Tanya Wildes, Rosalyn Marar, Claire Yee, Anna Bodily, Brian Kotajarvi, Sarah Aug, Francis Buadi, Prashant Kapoor, Angela Dispenzieri, Suzanne Hayman, David Dingli, Wilson Gonsalves, Joselle Cook, Saurabh Zanwar

TL;DR
This study explores how biomarkers of cellular aging relate to frailty and survival in multiple myeloma patients, identifying potential new tools for predicting outcomes.
Contribution
The study introduces a 5-factor SASP model that outperforms existing methods in predicting survival in multiple myeloma.
Findings
SASP factors like GDF-15, TNF-RI, IL-6, and IL-8 correlate with frailty in multiple myeloma patients.
A 5-factor SASP model predicts overall survival better than chronological age and clinical frailty assessments.
SASP factors are linked to treatment outcomes, including toxicity and healthcare use.
Abstract
Frailty predicts adverse outcomes in multiple myeloma (MM), yet an objective frailty biomarker is lacking. Circulating senescence-associated secretory phenotype (SASP) factors correlate with frailty and adverse outcomes in chronic diseases, but their relevance in MM is unclear. In this study, we investigated the relationship between 36 plasma SASP factors, frailty, and clinical outcomes in: (1) a historical cohort using stored specimens from 59 patients with newly diagnosed MM, and (2) a prospective cohort of 36 patients initiating new MM treatment. Several SASP factors were significantly associated with frailty after adjusting for age, sex, and body mass index; GDF-15, TNF-RI, IL-6, and IL-8 showed positive correlations with both cumulative-deficit based and physical frailty indices. Additionally, significant age-adjusted associations were observed between SASP factors and treatment…
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Taxonomy
TopicsTelomeres, Telomerase, and Senescence · Acute Myeloid Leukemia Research · Frailty in Older Adults
