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Mandelblatt J, Dage JL, Zhou X, Small BJ, Ahles TA, Ahn J, Artese A, Bethea TN, Breen EC, Carroll JE, Cohen HJ, Extermann M, Graham D, Claudine I, Jim HSL, McDonald BC, Nakamura ZM, Patel SK, Rebeck GW, Rentscher KE, Root JC, Russ KA, Tometich DB, Turner RS, Van Dyk K, Zhai W, Huang LW, Saykin AJ. Alzheimer disease-related biomarkers and cancer-related cognitive decline: the Thinking and Living with Cancer study. J Natl Cancer Inst 2024; 116:1495-1507. [PMID: 38788675 PMCID: PMC11378315 DOI: 10.1093/jnci/djae113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 04/22/2024] [Accepted: 05/15/2024] [Indexed: 05/26/2024] Open
Abstract
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.
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Affiliation(s)
- Jeanne Mandelblatt
- Georgetown Lombardi Institute for Cancer and Aging Research, Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC, USA
| | - Jeffrey L Dage
- Stark Neurosciences Research Institute, Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Xingtao Zhou
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
| | - Brent J Small
- School of Aging Studies, University of South Florida, and Health Outcomes and Behavior Program, Moffitt Cancer Center, Tampa, FL, USA
| | - Tim A Ahles
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jaeil Ahn
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
| | - Ashley Artese
- Department of Exercise Science and Health Promotion, Charles E. Schmidt College of Science, Florida Atlantic University, Boca Raton, FL, USA
| | - Traci N Bethea
- Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC, USA
| | - Elizabeth C Breen
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Judith E Carroll
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Harvey J Cohen
- Department of Medicine, Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA
| | - Martine Extermann
- Senior Adult Oncology Program, Department of Oncology, Moffitt Cancer Center, University of South Florida, Tampa, FL, USA
| | - Deena Graham
- John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, USA
| | - Isaacs Claudine
- Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC, USA
| | - Heather S L Jim
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - Brenna C McDonald
- Department of Radiology and Imaging Sciences, Melvin and Bren Simon Comprehensive Cancer Center, and Indiana Alzheimer’s Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Zev M Nakamura
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sunita K Patel
- Department of Population Sciences and Department of Supportive Care Medicine, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - G William Rebeck
- Department of Neuroscience, Georgetown University, Washington, DC, USA
| | - Kelly E Rentscher
- Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - James C Root
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kristen A Russ
- Department of Medical and Molecular Genetics and National Centralized Repository for Alzheimer’s and Related Dementias, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Danielle B Tometich
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - R Scott Turner
- Department of Neurology, Georgetown University, Washington, DC, USA
| | - Kathleen Van Dyk
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA
| | - Wanting Zhai
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
| | - Li-Wen Huang
- Division of Hematology/Oncology, University of California San Francisco and San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Melvin and Bren Simon Comprehensive Cancer Center, and Indiana Alzheimer’s Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
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Artese AL, Zhou X, Tometich DB, Small BJ, Ahles TA, Ahn J, Bethea TN, Breen EC, Cohen HJ, Extermann M, Graham D, Isaacs C, Jim HSL, McDonald BC, Nakamura ZM, Patel SK, Rentscher KE, Root JC, Saykin AJ, Van Dyk K, Zhai W, Carroll JE, Mandelblatt J. Physical Activity and Cognition: Longitudinal findings from the Thinking and Living with Cancer Study. J Natl Cancer Inst 2024:djae182. [PMID: 39107910 DOI: 10.1093/jnci/djae182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 06/11/2024] [Accepted: 07/29/2024] [Indexed: 10/17/2024] Open
Abstract
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.
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Affiliation(s)
- Ashley L Artese
- Department of Exercise Science and Health Promotion, Charles E. Schmidt College of Science, Florida Atlantic University, Boca Raton, FL, USA
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA
| | - Xingtao Zhou
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
| | - Danielle B Tometich
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - Brent J Small
- School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Tim A Ahles
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jaeil Ahn
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
| | - Traci N Bethea
- Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC, USA
| | - Elizabeth C Breen
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Harvey J Cohen
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA
| | - Martine Extermann
- Senior Adult Oncology Program, Department of Oncology Sciences, Moffitt Cancer Center, University of South Florida, Tampa, FL, USA
| | - Deena Graham
- John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, USA
| | - Claudine Isaacs
- Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC, USA
| | - Heather S L Jim
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - Brenna C McDonald
- Department of Radiology and Imaging Sciences, Melvin and Bren Simon Comprehensive Cancer Center, and Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Zev M Nakamura
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sunita K Patel
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Kelly E Rentscher
- Department of Psychiatry and Behavioral Medicine, MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - James C Root
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Melvin and Bren Simon Comprehensive Cancer Center, and Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kathleen Van Dyk
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA
| | - Wanting Zhai
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
| | - Judith E Carroll
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jeanne Mandelblatt
- Georgetown Lombardi Institute for Cancer and Aging Research, Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC, USA
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Garland SN, Tulk J, Savard J, Rash JA, Browne S, Urquhart R, Seal M, Thoms J, Laing K. Randomized Controlled Trial of Virtually Delivered Cognitive Behavioral Therapy for Insomnia to Address Perceived Cancer-Related Cognitive Impairment in Cancer Survivors. J Clin Oncol 2024; 42:2094-2104. [PMID: 38552188 DOI: 10.1200/jco.23.02330] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 12/18/2023] [Accepted: 02/07/2024] [Indexed: 06/07/2024] Open
Abstract
PURPOSE Comorbid insomnia and cancer-related cognitive impairment (CRCI) are experienced by up to 26% of individuals diagnosed with cancer. This study examined the efficacy and durability of cognitive behavioral therapy for insomnia (CBT-I) on perceived CRCI in cancer survivors. METHODS Atlantic Canadian cancer survivors with insomnia and CRCI were randomly assigned to receive seven weekly virtual CBT-I sessions (n = 63) or placed in a waitlist control group (n = 69) to receive treatment after the waiting period. Participants completed assessments at baseline, 1 month (mid-treatment), and 2 months (post-treatment). Age- and education-adjusted mixed-effects models using intention-to-treat principles assessed change at post-treatment. Data from both groups were then pooled to assess the durability of effects at 3 and 6 months. A mediation analysis examined whether change in insomnia symptoms mediated the effect of CBT-I on cognitive outcomes. RESULTS The mean age of the sample was 60 years, 77% were women, and breast cancer was the most common diagnosis (41%). The treatment group reported an 11.35-point reduction in insomnia severity, compared with a 2.67-point reduction in the waitlist control group (P < .001). The treatment group had a greater overall improvement than the waitlist control on perceived cognitive impairment (P < .001; d = 0.75), cognitive abilities (P < .001; d = 0.92), and impact on quality of life (P < .001; d = 1.01). These improvements were maintained at follow-up. Change in insomnia symptoms fully mediated the effect of CBT-I on subjective cognitive outcomes. CONCLUSION Treating insomnia with CBT-I produces clinically meaningful and durable improvements in CRCI. There is an urgent need increase access to evidence-based treatment for insomnia in cancer centers and the community.
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Affiliation(s)
- Sheila N Garland
- Department of Psychology, Faculty of Science, Memorial University, St John's, NL
- Discipline of Oncology, Faculty of Science, Memorial University, St John's, NL
| | - Joshua Tulk
- Department of Psychology, Faculty of Science, Memorial University, St John's, NL
| | - Josée Savard
- School of Psychology, Université Laval, Quebec, QC, Canada
- CHU de Québec-Université Laval Research Center, Quebec, QC, Canada
| | - Joshua A Rash
- Department of Psychology, Faculty of Science, Memorial University, St John's, NL
| | | | - Robin Urquhart
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, NS
| | - Melanie Seal
- Discipline of Oncology, Faculty of Science, Memorial University, St John's, NL
| | - John Thoms
- Discipline of Oncology, Faculty of Science, Memorial University, St John's, NL
| | - Kara Laing
- Discipline of Oncology, Faculty of Science, Memorial University, St John's, NL
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4
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McDeed AP, Van Dyk K, Zhou X, Zhai W, Ahles TA, Bethea TN, Carroll JE, Cohen HJ, Nakamura ZM, Rentscher KE, Saykin AJ, Small BJ, Root JC, Jim H, Patel SK, Mcdonald BC, Mandelblatt JS, Ahn J. Prediction of cognitive decline in older breast cancer survivors: the Thinking and Living with Cancer study. JNCI Cancer Spectr 2024; 8:pkae019. [PMID: 38556480 PMCID: PMC11031271 DOI: 10.1093/jncics/pkae019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 02/27/2024] [Accepted: 03/05/2024] [Indexed: 04/02/2024] Open
Abstract
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.
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Affiliation(s)
- Arthur Patrick McDeed
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
| | - Kathleen Van Dyk
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA
| | - Xingtao Zhou
- Georgetown University Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, Department of Oncology and Georgetown Lombardi Institute for Cancer and Aging Research, Georgetown University, Washington, DC, USA
| | - Wanting Zhai
- Georgetown University Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, Department of Oncology and Georgetown Lombardi Institute for Cancer and Aging Research, Georgetown University, Washington, DC, USA
| | - Tim A Ahles
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Traci N Bethea
- Georgetown University Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, Department of Oncology and Georgetown Lombardi Institute for Cancer and Aging Research, Georgetown University, Washington, DC, USA
| | - Judith E Carroll
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Harvey Jay Cohen
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA
| | - Zev M Nakamura
- Department of Psychiatry, University of North Carolina–Chapel Hill, Chapel Hill, NC, USA
| | - Kelly E Rentscher
- Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Andrew J Saykin
- Center for Neuroimaging and Indiana Alzheimer’s Disease Research Center, Department of Radiology and Imaging Sciences and the Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Brent J Small
- School of Aging Studies, University of South Florida, and Health Outcomes and Behavior Program, Moffitt Cancer Center, Tampa, FL, USA
| | - James C Root
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Heather Jim
- Department of Health Outcomes and Behavior, Moffitt Cancer Center and Research Institute, University of South Florida, Tampa, FL, USA
| | - Sunita K Patel
- Outcomes Division, Population Sciences, City of Hope National Medical Center, Los Angeles, CA, USA
| | - Brenna C Mcdonald
- Center for Neuroimaging and Indiana Alzheimer’s Disease Research Center, Department of Radiology and Imaging Sciences and the Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Jeanne S Mandelblatt
- Georgetown University Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, Department of Oncology and Georgetown Lombardi Institute for Cancer and Aging Research, Georgetown University, Washington, DC, USA
| | - Jaeil Ahn
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
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5
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Garland SN, Tulk J, Rodriguez N, Rash JA, Fawcett JM, McCarthy J, Seal M, Laing K. Perceived Executive Functioning Deficits After Diagnosis in Women with Non-Metastatic Breast Cancer Prior to Adjuvant Therapies. Int J Behav Med 2024; 31:31-40. [PMID: 36720774 DOI: 10.1007/s12529-023-10153-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/09/2023] [Indexed: 02/02/2023]
Abstract
BACKGROUND Perceived deficits in executive functioning are among the many difficulties that women diagnosed with breast cancer experience. This study assessed the presence of perceived deficits in executive functioning among women with breast cancer prior to systemic treatment and radiation and associations between perceived deficits in executive function and comorbid fatigue, sleep, and mood disturbance. METHOD Participants were recruited following their breast cancer diagnosis and assessed using the Behavior Rating Inventory of Executive Function for Adults (BRIEF-A), subjective and objective measures of sleep duration and efficiency, and self-report measures of insomnia severity, sleep quality, fatigue, and mood disturbance. Hierarchical regression was used to examine associations between symptoms, adjusting for age and education. RESULTS The final sample included 92 women with a mean age of 60.7 years and 13.5 years of education. Thirteen percent of participants reported global executive dysfunction. After partitioning out variability from other independent variables, fatigue (p = < .001), perceived sleep quality (p = .030), and symptoms of insomnia (p = .008) accounted for 13.3%, 5.7%, and 8.5% of unique variance in perceived executive functioning, respectively. Emotional fatigue was most strongly associated with perceived deficits in executive functioning. Neither subjective or objective sleep duration or efficiency was associated with perceived deficits in executive functioning. CONCLUSION Fatigue, particularly emotional fatigue, insomnia, and poor sleep quality had the strongest associations with perceived deficits in executive functioning. Sleep interventions and fatigue management strategies may prove useful for women who seek to improve their perceived executive functioning.
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Affiliation(s)
- Sheila N Garland
- Department of Psychology, Faculty of Science, Memorial University, St. John's, Newfoundland and Labrador, A1B 3X9, Canada.
- Discipline of Oncology, Faculty of Medicine, Memorial University , St. John's, Newfoundland and Labrador, Canada.
- Beatrice Hunter Cancer Research Institute, Halifax, Nova Scotia, Canada.
| | - Joshua Tulk
- Department of Psychology, Faculty of Science, Memorial University, St. John's, Newfoundland and Labrador, A1B 3X9, Canada
| | - Nicole Rodriguez
- Department of Psychology, Faculty of Science, Memorial University, St. John's, Newfoundland and Labrador, A1B 3X9, Canada
| | - Joshua A Rash
- Department of Psychology, Faculty of Science, Memorial University, St. John's, Newfoundland and Labrador, A1B 3X9, Canada
| | - Jonathan M Fawcett
- Department of Psychology, Faculty of Science, Memorial University, St. John's, Newfoundland and Labrador, A1B 3X9, Canada
| | - Joy McCarthy
- Discipline of Oncology, Faculty of Medicine, Memorial University , St. John's, Newfoundland and Labrador, Canada
| | - Melanie Seal
- Discipline of Oncology, Faculty of Medicine, Memorial University , St. John's, Newfoundland and Labrador, Canada
| | - Kara Laing
- Discipline of Oncology, Faculty of Medicine, Memorial University , St. John's, Newfoundland and Labrador, Canada
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6
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Sun J, Dong Y, Wang D, Yang Y, Zhou Z, Zhu M, Wang T, Teng L. The association between inflammation-related biomarkers and the subtypes of cancer-related cognitive impairment in colorectal cancer patients: A latent profile analysis. Eur J Oncol Nurs 2024; 68:102493. [PMID: 38134496 DOI: 10.1016/j.ejon.2023.102493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 12/06/2023] [Accepted: 12/10/2023] [Indexed: 12/24/2023]
Abstract
PURPOSE Cancer-related cognitive impairment (CRCI) has garnered considerable attention, yet limited research has delved into nuanced distinctions among varying degrees of CRCI in colorectal cancer survivors. This study aimed to identify distinct subgroups based on the patterns of CRCI, assess the heterogeneity among different subgroups, and investigate the potential correlations between the subgroups of CRCI and inflammation-related biomarkers. METHODS 268 colorectal cancer patients were enrolled in this cross-sectional study, followed by the Functional Assessment of Cancer Therapy-Cognitive Function. The determination of CRCI subgroups was accomplished by the latent profile analysis (LPA). The effects of inflammation-related biomarkers on CRCI were examined using the binary logistic regression analysis. The receiver operating characteristic (ROC) curves assessed the diagnostic efficacy of inflammation-related biomarkers. RESULTS Two latent profiles were identified: CRCI (n = 64, 23.88%) and non-CRCI (n = 204, 76.12%). Independent factors for CRCI in colorectal cancer patients were SIRI (OR = 3.248, 95%CI [1.197-8.807], P = 0.021) and ALI (OR = 0.962, 95%CI [0.937-0.989], P = 0.005). The areas under the curve (AUCs) for SIRI and ALI in predicting CRCI were 0.781 and 0.774, with the optimal cut-off values being 0.70 and 37.04, respectively. CONCLUSIONS Colorectal cancer patients exhibited divergent cognitive performance profiles, categorized into two subgroups based on LPA. SIRI and ALI were identified as independent factors for CRCI, demonstrating strong diagnostic accuracy. These two inflammation-related biomarkers may potentially be novel indicators to identify and manage the development of CRCI among colorectal cancer patients.
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Affiliation(s)
- Jun Sun
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, Jiangsu, China
| | - Yajun Dong
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, Jiangsu, China
| | - Danhui Wang
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, Jiangsu, China
| | - Yiting Yang
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, Jiangsu, China
| | - Zhou Zhou
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, Jiangsu, China
| | - Min Zhu
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, Jiangsu, China
| | - Teng Wang
- Department of Oncology, Affiliated Hospital of Jiangnan University, Wuxi 214122, Jiangsu, China
| | - Liping Teng
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, Jiangsu, China.
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7
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Franco-Rocha OY, Lewis KA, Longoria KD, De La Torre Schutz A, Wright ML, Kesler SR. Cancer-related cognitive impairment in racial and ethnic minority groups: a scoping review. J Cancer Res Clin Oncol 2023; 149:12561-12587. [PMID: 37432455 DOI: 10.1007/s00432-023-05088-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 06/30/2023] [Indexed: 07/12/2023]
Abstract
PURPOSE Disparities in cognitive function among racial and ethnic groups have been reported in non-cancer conditions, but cancer-related cognitive impairment (CRCI) in racial and ethnic minority groups is poorly understood. We aimed to synthesize and characterize the available literature about CRCI in racial and ethnic minority populations. METHODS We conducted a scoping review in the PubMed, PsycInfo, and Cumulative Index to Nursing and Allied Health Literature databases. Articles were included if they were published in English or Spanish, reported cognitive functioning in adults diagnosed with cancer, and characterized the race or ethnicity of the participants. Literature reviews, commentaries, letters to the editor, and gray literature were excluded. RESULTS Seventy-four articles met the inclusion criteria, but only 33.8% differentiated the CRCI findings by racial or ethnic subgroups. There were associations between cognitive outcomes and the participants' race or ethnicity. Additionally, some studies found that Black and non-white individuals with cancer were more likely to experience CRCI than their white counterparts. Biological, sociocultural, and instrumentation factors were associated with CRCI differences between racial and ethnic groups. CONCLUSIONS Our findings indicate that racial and ethnic minoritized individuals may be disparately affected by CRCI. Future research should use standardized guidelines for measuring and reporting the self-identified racial and ethnic composition of the sample; differentiate CRCI findings by racial and ethnic subgroups; consider the influence of structural racism in health outcomes; and develop strategies to promote the participation of members of racial and ethnic minority groups.
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Affiliation(s)
- Oscar Y Franco-Rocha
- School of Nursing, University of Texas at Austin, 1710 Red River St, Austin, TX, USA.
| | - Kimberly A Lewis
- School of Nursing, University of Texas at Austin, 1710 Red River St, Austin, TX, USA
- Department of Physiological Nursing, School of Nursing, University of California, San Francisco, San Francisco, CA, USA
| | - Kayla D Longoria
- School of Nursing, University of Texas at Austin, 1710 Red River St, Austin, TX, USA
| | - Alexa De La Torre Schutz
- Brain Health Neuroscience Lab, School of Nursing, The University of Texas at Austin, 1710 Red River St, Austin, TX, USA
| | - Michelle L Wright
- School of Nursing, University of Texas at Austin, 1710 Red River St, Austin, TX, USA
| | - Shelli R Kesler
- School of Nursing, University of Texas at Austin, 1710 Red River St, Austin, TX, USA
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Luo J, Liu R, Luo Y, Fang Q, Liu S, Yang Z, Miao J, Zhang L. The high burden of symptoms associated with cognitive impairment in lung cancer patients: A latent class analysis. Asia Pac J Oncol Nurs 2023; 10:100200. [PMID: 36890861 PMCID: PMC9988398 DOI: 10.1016/j.apjon.2023.100200] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 01/30/2023] [Accepted: 01/31/2023] [Indexed: 02/08/2023] Open
Abstract
Objective To explore the association between the pain-fatigue-sleep disturbance-depression symptom cluster (SC) and cancer-related cognitive impairment (CRCI) in patients having lung cancer and to identify other factors influencing CRCI. Methods A cross-sectional study was conducted to investigate 378 patients having lung cancer in China from October 2021 to July 2022. The perceived cognitive impairment scale and the general anxiety disorder-7 were used to assess patients' cognitive impairment and anxiety, respectively. The pain-fatigue-sleep disturbance-depression SC was assessed with the brief fatigue inventory, the brief pain inventory, the Patient Health Questionnaire-9, and the Athens Insomnia Scale. Latent class analysis by Mplus.7.4 was used to identify latent classes of the SC. We adjusted for covariates in the multivariable logistic regression model to examine the relationship between the pain-fatigue-sleep disturbance-depression SC and CRCI. Results Among patients having lung cancer, two SC classes were identified: high and low symptom burden groups. In the crude model, compared to the low symptom burden group, the high symptom group had greater odds of developing CRCI (odds ratio: 10.065, 95% confidence interval: 4.138-24.478). After adjusting for covariates, in model 1, the high symptom group still had greater odds of developing CRCI (odds ratio: 5.531, 95% confidence interval: 2.133-14.336). Additionally, a diagnosis of over 6 months, anxiety, leisure activity, and a high platelet-to-lymphocyte ratio were found to be influencing factors of CRCI (all P < 0.05). Conclusions Our study revealed that a high symptom burden is a significant risk factor for CRCI, which may provide a new perspective for managing CRCI in lung patients having cancer.
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Affiliation(s)
- Jiahui Luo
- School of Nursing, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Ruiqi Liu
- School of Nursing, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Yuanyuan Luo
- School of Nursing, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Qinghong Fang
- School of Nursing, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Suting Liu
- School of Nursing, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Zhihui Yang
- School of Nursing, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Jingxia Miao
- Department of Medical Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Lili Zhang
- School of Nursing, Southern Medical University, Guangzhou, Guangdong Province, China
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