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Purpose: We evaluated whether plasma Alzheimer disease (AD)-related biomarkers were associated with cancer-related cognitive decline among older breast cancer survivors., Methods: We included survivors aged 60-90 years with primary stage 0-III breast cancers (n = 236) and frequency-matched noncancer control paricipant (n = 154) who passed a cognitive screen and had banked plasma specimens. Participants were assessed at baseline (presystemic therapy) and annually for up to 60 months. Cognition was measured using tests of attention, processing speed, and executive function and learning and memory; perceived cognition was measured by the Functional Assessment of Cancer Therapy-Cognitive Function v3 Perceived Cognitive Impairments. Baseline plasma neurofilament light, glial fibrillary acidic protein, β-amyloid 42 and 40 and phosphorylated tau 181 were assayed using single molecule arrays. Mixed models tested associations between cognition and baseline AD biomarkers, time, group (survivor vs control participant), and their 2- and 3-way interactions, controlling for age, race, Wide Range 4 Achievement Test Word Reading score, comorbidity, and body mass index; 2-sided P values of .05 were considered statistically significant., Results: There were no group differences in baseline AD-related biomarkers except survivors had higher baseline neurofilament light levels than control participants (P = .013). Survivors had lower adjusted longitudinal attention, processing speed, and executive function than control participants starting from baseline and continuing over time (P ≤ .002). However, baseline AD-related biomarker levels were not independently associated with adjusted cognition over time, except control participants had lower attention, processing speed, and executive function scores with higher glial fibrillary acidic protein levels (P = .008)., Conclusion: The results do not support a relationship between baseline AD-related biomarkers and cancer-related cognitive decline. Further investigation is warranted to confirm the findings, test effects of longitudinal changes in AD-related biomarkers, and examine other mechanisms and factors affecting cognition presystemic therapy., (© The Author(s) 2024. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Physical activity can improve cognition; however, little is known regarding the relationships between longitudinal objectively-measured physical activity, cognition, and inflammation in older breast cancer survivors., Methods: Older (≥60 yrs) breast cancer survivors (n = 216) and frequency-matched non-cancer controls (n = 216) were assessed at baseline (pre-systemic therapy for survivors) and annually for up to five years. Assessments included hip-worn ActiGraphs worn for seven days, neuropsychological tests, the Functional Assessment of Cancer Therapy-Cognitive Function Perceived Cognitive Impairment (FACT-Cog PCI) subscale, and circulating levels of C-reactive protein (CRP) and interleukin-6 (IL-6). Data were analyzed using linear mixed-effect, random-effect contemporaneous fluctuation, and multi-level mediation models, considering covariates; p < .05 (two-sided) was considered significant., Results: Survivors had fewer minutes of moderate-to-vigorous physical activity (MVPA) than controls at 36-, 48-, and 60-month time points (p < .03). Fewer survivors met Aerobic Physical Activity Guidelines at 36 months than controls (17.7% vs 33.0%, p = .030). When Guidelines were met (vs not), FACT-Cog PCI scores were 2.1 ± 1.0 (p = .034) points higher. Higher MVPA and meeting Aerobic Guidelines were not related to objective neuropsychological performance. MVPA was inversely associated with CRP and IL-6 (p < .001), but inflammation did not mediate physical activity effects on perceived cognition., Conclusions: Older breast cancer survivors were less physically active than older non-cancer controls, especially farther from baseline. Meeting Aerobic Guidelines was associated with better perceived cognition in survivors. Survivorship care should consider physical activity monitoring and referral to rehabilitation and supervised exercise programs to promote physical activity and improve recovery in older survivors., (© The Author(s) 2024. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Purpose: Cancer survivors commonly report cognitive declines after cancer therapy. Due to the complex etiology of cancer-related cognitive decline (CRCD), predicting who will be at risk of CRCD remains a clinical challenge. We developed a model to predict breast cancer survivors who would experience CRCD after systematic treatment., Methods: We used the Thinking and Living with Cancer study, a large ongoing multisite prospective study of older breast cancer survivors with complete assessments pre-systemic therapy, 12 months and 24 months after initiation of systemic therapy. Cognition was measured using neuropsychological testing of attention, processing speed, and executive function (APE). CRCD was defined as a 0.25 SD (of observed changes from baseline to 12 months in matched controls) decline or greater in APE score from baseline to 12 months (transient) or persistent as a decline 0.25 SD or greater sustained to 24 months. We used machine learning approaches to predict CRCD using baseline demographics, tumor characteristics and treatment, genotypes, comorbidity, and self-reported physical, psychosocial, and cognitive function., Results: Thirty-two percent of survivors had transient cognitive decline, and 41% of these women experienced persistent decline. Prediction of CRCD was good: yielding an area under the curve of 0.75 and 0.79 for transient and persistent decline, respectively. Variables most informative in predicting CRCD included apolipoprotein E4 positivity, tumor HER2 positivity, obesity, cardiovascular comorbidities, more prescription medications, and higher baseline APE score., Conclusions: Our proof-of-concept tool demonstrates our prediction models are potentially useful to predict risk of CRCD. Future research is needed to validate this approach for predicting CRCD in routine practice settings., (© The Author(s) 2024. Published by Oxford University Press.)

Background: Allogeneic hematopoietic cell transplantation (HCT) is a widely used treatment for hematologic cancers, with survival rates ranging from 25% to 78%. Known risk factors for chronic graft-versus-host disease (cGVHD), a serious and common long-term complication, disease relapse, and mortality following HCT have been identified, but much of the variability in HCT outcomes is unexplained. Biobehavioral symptoms including depression, sleep disruption, and fatigue are some of the most prevalent and distressing for patients; yet research on biobehavioral risk factors for HCT outcomes is limited. This study evaluated patient-reported depression, sleep disruption, and fatigue as risk factors for cGVHD, disease relapse, and mortality., Methods: Adults receiving allogeneic HCT for a hematologic malignancy (N = 241) completed self-report measures of depression symptoms, sleep quality, and fatigue (severity, interference) pre-HCT and 100 days post-HCT. Clinical outcomes were monitored for up to 6 years., Results: Cox proportional hazard models (2-tailed) adjusting for patient demographic and medical characteristics revealed that high pre-HCT sleep disruption (Pittsburgh Sleep Quality Index >9; hazard ratio [HR] = 2.74, 95% confidence interval [CI] = 1.27 to 5.92) and greater post-HCT fatigue interference (HR = 1.32, 95% CI = 1.05 to 1.66) uniquely predicted increased risk of mortality. Moderate pre-HCT sleep disruption (Pittsburgh Sleep Quality Index 6-9) predicted increased risk of relapse (HR = 1.99, 95% CI = 1.02 to 3.87). Biobehavioral symptoms did not predict cGVHD incidence., Conclusions: Biobehavioral symptoms, particularly sleep disruption and fatigue interference, predicted an increased risk for 6-year relapse and mortality after HCT. Because these symptoms are amenable to treatment, they offer specific targets for intervention to improve HCT outcomes., (© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)