The goal of this study is to evaluate the impact of systemic therapy on cognition in older breast cancer patients, explore change in APE, LM and Cognition domains, measure associations between cognitive decline and QOL, and describe how genetic polymorphisms, inflammatory biomarkers, sleep and physical measures moderate cognitive outcomes. This study is being done nationally, with recruiting sites at Georgetown University, Montgomery General Hospital, Virginia Cancer Specialists, Washington Hospital Center, Reston Breast Care Specialists, Memorial Sloan-Kettering, Moffitt Cancer Center, City of Hope National Medical Center, Hackensack University Medical Center, Indiana University and University of California, Los Angeles.
Cancer is the leading cause of death in the US and breast cancer is the second most common cancer among women in our country. Older women (women 60 and older) presently account for nearly half of all new cases of breast cancer. With the "graying of America" and advances in treatment for breast cancer, the absolute number of older women undergoing breast cancer treatment and surviving their disease will almost double by the year 2030. Systemic hormonal and non-hormonal chemotherapy is credited with improvements in survival, and rates of use of these modalities have increased substantially over the past two decades. Preliminary work has found that older women are interested in chemotherapy even for small returns in survival extension. However, cognitive impairment has been demonstrated in most studies of breast cancer systemic treatments, but virtually all of this research has been conducted in younger populations. Since aging itself is associated with cognitive declines, it seems very likely that older women are particularly vulnerable to the adverse cognitive effects of systemic therapy; our preliminary work strongly suggests that this is the case, but this has never been empirically tested. This study will be the first large-scale, prospective, controlled investigation to evaluate cognitive changes in older cancer patients and it will provide the basis for the next generation of mechanistic, treatment and intervention studies. These will be important since data from younger patients cannot be directly translated into the older population. Investigators will use the vulnerability model of cancer survivorship to prospectively describe the magnitude of systemic therapy effects on cognition in older (age \>60 years) breast cancer patients over a 60 month period, explore change in APE, LM and Cognition domains, test associations between cognition and quality of life (QOL), and evaluate whether genetic polymorphisms, inflammatory biomarkers, sleep and physical measures moderate cognitive outcomes. To achieve these objectives, investigators have assembled a multi-disciplinary team of oncologists, geriatricians, neurologists, neuro- and cognitive psychologists, behavioral scientists and consumers from Lombardi Comprehensive Cancer Center (LCCC), Memorial Sloan-Kettering Cancer Center (MSKCC), Moffitt Cancer Center, City of Hope National Medical Center (COH), Hackensack University Medical Center (HUMC), Indiana University (IU), Boston University (BU), University of California (UCLA), University of South Florida (USF) and their satellites, will work together to prospectively enroll 850 newly diagnosed older breast cancer cases from LCCC, MSKCC, Moffitt, COH, HUMC, IU and tertiary referral centers with high volumes. An equal number of non-cancer friend controls will be recruited. Friend controls were chosen since they will be similar to patients in most ways except for exposure to cancer and its treatments and they should be motivated to participate. If friends are not available, controls matched to cases on age, education, race, and area (DC/NY/FL/CA/NJ/IU) will be recruited from the community. Investigators will administer baseline neuropsychological testing prior to any systemic treatment (or at enrollment for controls), survey women about subjective cognitive function, sleep, psychosocial factors, QOL and activities of daily living (IADLS). Subjects will take part in physical measurements, including grip strength, sit to stand and walk speed tests. Investigators will abstract clinical data from medical records. Investigators will obtain blood or saliva to test for APOE, COMT and other genetic polymorphisms at enrollment; these results will not be provided to participants since this is considered a research test). Subjects have the option to provide blood for biomarker research and for biobanking. Subjects will also provide one week of sleep monitoring. Subjects at IU will have the option to participate in neuroimaging. Investigators conduct follow-up interviews and repeat the neuropsychological testing, physical measures, blood/saliva collection, sleep monitoring and optional neuroimaging 12 months after baseline assessment; this time point corresponds to 3-6 months post-treatment among women who receive chemotherapy. Our primary cognitive outcome will be change in summary score on tests in the Attention, Processing Speed, and Executive Function domain, Learning and Memory domain, and Subjective Cognition domain. In secondary analyses, investigators examine changes in scores on additional domains to assess broader cognitive function and examine questions of differential impact. Data from this study will guide future interventions to better select older women for whom the benefits of systemic therapy outweigh the harms and to develop approaches to mitigate negative consequences of systemic treatment when it is indicated, improving the quality of care for the growing population of older breast cancer patients.
Study Type
OBSERVATIONAL
Enrollment
1,700
Georgetown University
Washington D.C., District of Columbia, United States
RECRUITINGChange in Attention, Processing Speed, Executive Function (APE) Domain
Using neuropsychological tests: NAB Digits Forward and Backward, Trailmaking A and B, Digit Symbol Subtest-Wechsler Adult, The Timed Instrumental Activities of Daily Living, Controlled Oral Word Association Test, NAB Driving Scenes and NAB Figure Drawing. These measures are aggregated to arrive at one reported value. The individual tests are first selected via factor analysis, then the selected raw scores are standardized to baseline controls by age and education group. The final domain score is calculated by averaging available individual z-standardized test scores.
Time frame: Baseline and annually up to 5 years
Change in Learning and Memory (LM) Domain
Using neuropsychological tests: Logical Memory I and II (Wechsler Memory Scale), NAB List Learning (Immediate Recall, Short Delay Recall, Long Delay). These measures are aggregated to arrive at one reported value. The individual tests are first selected via factor analysis, then the selected raw scores are standardized to baseline controls by age and education group. The final domain score is calculated by averaging available individual z-standardized test scores.
Time frame: Baseline and annually up to 5 years
Change in Cognition Domain
Using assessment: FACT-Cog and PCI Sub-scale. The measures are aggregated to arrive at one reported value. Change in cognition is calculated based on the official FACT-Cog scoring manual. The total score is calculated by summing the available items among all 37 items when no more than 30 items are missing. The PCI subscale score is calculated by summing the available items among all 18 items when no more than 8 items are missing.
Time frame: Baseline and annually up to 5 years
Change in Quality of Life
Using Functional Assessment of Cancer Therapy-Breast quality of life measure (FACT-B)
Time frame: Baseline and annually up to 5 years
Change in Quality of Life
Using Medical Outcome Study measure (MOS)
Time frame: Baseline and annually up to 5 years
Change in Quality of Life
Using Short Form Health Survey measure (SF-12)
Time frame: Baseline and annually up to 5 years
Change in cancer-related symptoms (including fatigue, sleep, pain, anxiety and depression)
Using survey data
Time frame: Baseline and annually up to 5 years
Biomarkers of aging (genotype, inflammatory biomarkers, telomere length, p16, miRNA)
Using annual biospecimen collection of blood or saliva
Time frame: Baseline and annually up to 5 years
Grip Strength Test
Participant's grip strength will be measured using the Jamar Plus Digital dynamometer. The participant should be in a standing position, arms at their side, not touching their body with elbow bent slightly. If subjects are unable to stand comfortably, they will be seated in a chair with their feet touching the ground with their elbow bent to 90 degrees and the arm against their trunk with a neutral wrist. Participants squeeze the Jamar Plus Digital dynamometer as hard as they can for a count of three. The dynamometer provides a digital reading of force in pounds. A practice trial at less than full force and one test trial are completed with each hand. The test takes approximately three minutes to administer. Dominant vs. Non-Dominant Hand (i.e., handedness) is assessed at the outset.
Time frame: Baseline and annually up to 5 years
Actigraphy/Change in Sleep
To obtain an objective assessment of both daytime and nighttime sleeping, participants will wear the actigraph on the dominant wrist (unless that arm is paralyzed) for one week. The Actigraph Motionlogger (Ambulatory Monitoring, Inc. Ardsley, NY), is a wrist-mounted actigraph that records activity and illumination exposure using an accelerometer, a light transducer and a microprocessor. Commercially available software uses validated algorithms that take into account wrist movement immediately before and after an epoch of interest; wrist activity below an established threshold is interpreted as sleep and wrist activity above that threshold is interpreted as wakefulness as validated in older adults. Agreement between wrist actigraphy and EEG (the gold standard method for sleep assessment) scoring of sleep variables (e.g., total sleep time) is 89-95% in older adults.
Time frame: Baseline and annually up to 5 years
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