Trajectories of neuropsychological symptom burden in postmenopausal women prescribed anastrozole for early-stage breast cancer.

PURPOSE: Aromatase inhibitors (AIs) prolong survival for postmenopausal women with hormone receptor-positive breast cancer (HR + BC) but also burden patients with symptoms, a major reason for suboptimal AI adherence. This study characterizes inter-relationships among symptom measures; describes neuropsychological symptom burden trajectories; and identifies trajectory group membership predictors for postmenopausal women prescribed anastrozole for HR + BC. METHODS: This study utilized prospectively collected data from a cohort study. Relationships among various self-reported symptom measures were examined followed by a factor analysis to reduce data redundancy before trajectory analysis. Four neuropsychological scales/subscales were rescaled (range 0-100) and averaged into a neuropsychological symptom burden (NSB) score, where higher scores indicated greater symptom burden. Group-based trajectory modeling characterized NSB trajectories. Trajectory group membership predictors were identified using multinomial logistic regression. RESULTS: Women (N = 360) averaged 61 years old, were mostly White, and diagnosed with stage I HR + BC. Several measures were correlated temporally but four neuropsychological measures had strong correlations and dimensional loadings. These four measures, combined for the composite NSB, averaged (mean ± standard deviation) 17.4 ± 12.9, 18.0 ± 12.7, 19.5 ± 12.8, and 19.8 ± 13.0 at pre-anastrozole, 6, 12, and 18 months post-initiation, respectively. However, the analysis revealed five NSB trajectories-low-stable, low-increasing, moderate-stable, high-stable, and high-increasing. Younger age and baseline medication categories (pre-anastrozole), including anti-depressants, analgesics, anti-anxiety, and no calcium/vitamin D, predicted the higher NSB trajectories. CONCLUSION: This study found relationships among neuropsychological symptom measures and distinct trajectories of self-reported NSB with pre-anastrozole predictors. Identifying symptom trajectories and their predictors at pre-anastrozole may inform supportive care strategies via symptom management interventions to optimize adherence for women with HR + BC.

Protocol for Symptom Experience, Management, Outcomes, and Adherence in Women Receiving Breast Cancer Chemotherapy.

BACKGROUND: The 5-year survival for Black women with breast cancer in the United States is lower than White women for stage-matched disease. Our past and ongoing work and that of others suggest that symptom incidence, cancer-related distress, and ineffective communication contribute to racial disparity in dose reduction and early therapy termination. Although race is perhaps the most studied social determinant of health, it is clear that race alone does not account for all disparities. OBJECTIVES: The aim of the study was to present a study protocol of Black and White women prescribed breast cancer chemotherapy. The aims are to (1) examine and compare chemotherapy received/prescribed over time and in total; (2a) examine and compare symptom incidence, distress, and management and clinical encounter, including patient-centeredness of care and management experience over time and (2b) correlate symptom incidence, distress, and management experience to Aim 1; and (3) explore the effects of social determinants of health, including age, income, education, zip code, and lifetime stress exposure, on Aims 1, 2a, and 2b. METHODS: A longitudinal, repeated-measures (up to 18 time points), comparative, mixed-methods design is employed with 179 White and 179 Black women from 10 sites in Western Pennsylvania and Northeast Ohio over the course of chemotherapy and for 2 years following completion of therapy. RESULTS: The study began in January 2018, with estimated complete data collection by late 2023. DISCUSSION: This study is among the first to explore the mechanistic process for racial disparity in dosage and delay across the breast cancer chemotherapy course. It will be an important contribution to the explanatory model for breast cancer treatment disparity and may advance potential mitigation strategies for racial survival disparity.

Symptom Experience, Management, and Outcomes According to Race and Social Determinants Including Genomics, Epigenomics, and Metabolomics (SEMOARS + GEM): an Explanatory Model for Breast Cancer Treatment Disparity.

Even after controlling for stage, comorbidity, age, and insurance status, black women with breast cancer (BC) in the USA have the lowest 5-year survival as compared with all other races for stage-matched disease. One potential cause of this survival difference is the disparity in cancer treatment, evident in many population clinical trials. Specifically, during BC chemotherapy, black women receive less relative dose intensity with more dose reductions and early chemotherapy cessation compared with white women. Symptom incidence, cancer-related distress, and ineffective communication, including the disparity in patient-centeredness of care surrounding patient symptom reporting and clinician assessment, are important factors contributing to racial disparity in dose reduction and early therapy termination. We present an evidence-based overview and an explanatory model for racial disparity in the symptom experience during BC chemotherapy that may lead to a reduction in dose intensity and a subsequent disparity in outcomes. This explanatory model, the Symptom Experience, Management, Outcomes and Adherence according to Race and Social determinants + Genomics Epigenomics and Metabolomics (SEMOARS + GEM), considers essential factors such as social determinants of health, clinician communication, symptoms and symptom management, genomics, epigenomics, and pharmacologic metabolism as contributory factors.

Knowledge and Attitudes About Genetic Testing Among Black and White Women with Breast Cancer.

Prior to embarking on a large descriptive evaluation of genetic/racial variations in symptom phenotype, we sought foundational information to determine racial differences in (1) feasibility (consent) and acceptability of collecting genomic samples, (2) genetic literacy, and (3) concerns of genomic research during breast cancer (BC) chemotherapy. Women with early-stage BC undergoing chemotherapy were recruited from an academic, urban breast care center. Information was collected for consent to participate, genetic literacy, and concerns about genetic testing in Black and White women with BC. Fifty-six women were eligible, and 48 were consented (24 Black, 24 White). All participants consented to blood testing. This highly educated sample's mean age was 52.5 + 12.05 (years). Education (years) and genetic knowledge were positively correlated (p = .038). Genetic scores were high, and only one question significantly differed by race. On interview, most participants thought conducting genetic research helped to better understand hereditary disease and/or identify genes that cause disease and stated that they participated in the research to help other people. The majority of participants responded that friends/family would participate in genetic research without concerns, though three Black participants cited mistrust as a possible concern. Overall, there were high levels of genetic knowledge, slightly different between Black and White women. There were no high levels of personal concern regarding genetic testing. Black women reported more concern than White women that friends/family would have hesitations about participating in genetic research. There was general acceptability of blood collection for genetic testing among women with early-stage BC without racial difference.

Symptom Science: Omics Supports Common Biological Underpinnings Across Symptoms.

For precision health care to be successful, an in-depth understanding of the biological mechanisms for symptom development and severity is essential. Omics-based research approaches facilitate identification of the biological underpinnings of symptoms. We reviewed literature for omics-based approaches and exemplar symptoms (sleep disruption, cognitive impairment, fatigue, gastrointestinal [GI] distress, and pain) to identify genes associated with the symptom or symptoms across disease processes. The review yielded 27 genes associated with more than one symptom. ABCB1 (MDR1), APOE, BDNF, CNR1, COMT, DAT1 (SLC6A3), DRD4, ESR1, HLA-DRB1, IL10, IL1B, IL6, LTA, PTGS2 (COX-2), SLC6A4, and TNF were associated with cognitive impairment and pain, which had the most genes in common. COMT and TNF were related to all symptoms except sleep disruption. IL1B was associated with all symptoms except cognitive impairment. IL10, IL1A, IL1B, IL1RN, IL6, and IL8 (CXCL8) were linked with all the exemplar symptoms in various combinations. ABCB1 (MDR1) and SLC6A4 were associated with cognitive impairment, GI distress, and pain. IL10 and IL6 were linked to cognitive impairment, fatigue, and pain. APOE and BDNF were associated with sleep disruption, cognitive impairment, and pain. The 27 genes were associated with canonical pathways including immune, inflammatory, and cell signaling. The pathway analysis generated a 15-gene model from the 27 as well as 3 networks, which incorporated new candidate genes. The findings support the hypothesis of overlapping biological underpinnings across the exemplar symptoms. Candidate genes may be targeted in future omics research to identify mechanisms of co-occurring symptoms for potential precision treatments.