Neurodegenerative disease pathways are perturbed in patients with cancer who self-report cognitive changes and anxiety: A pathway impact analysis.

BACKGROUND: Cancer-related cognitive impairment (CRCI) and anxiety co-occur in patients with cancer. Little is known about mechanisms for the co-occurrence of these two symptoms. The purposes of this secondary analysis were to evaluate for perturbed pathways associated with the co-occurrence of self-reported CRCI and anxiety in patients with low versus high levels of these two symptoms and to identify potential mechanisms for the co-occurrence of CRCI and anxiety using biological processes common across any perturbed neurodegenerative disease pathways. METHODS: Patients completed the Attentional Function Index and the Spielberger State-Trait Anxiety Inventory six times over two cycles of chemotherapy. Based on findings from a previous latent profile analysis, patients were grouped into none versus both high levels of these symptoms. Gene expression was quantified, and pathway impact analyses were performed. Signaling pathways for evaluation were defined with the Kyoto Encyclopedia of Genes and Genomes database. RESULTS: A total of 451 patients had data available for analysis. Approximately 85.0% of patients were in the none class and 15.0% were in the both high class. Pathway impact analyses identified five perturbed pathways related to neurodegenerative diseases (i.e., amyotrophic lateral sclerosis, Huntington disease, Parkinson disease, prion disease, and pathways of neurodegeneration-multiple diseases). Apoptosis, mitochondrial dysfunction, oxidative stress, and endoplasmic reticulum stress were common biological processes across these pathways. CONCLUSIONS: This study is the first to describe perturbations in neurodegenerative disease pathways associated with CRCI and anxiety in patients receiving chemotherapy. These findings provide new insights into potential targets for the development of mechanistically based interventions.

Effects of aerobic exercise on neurocognitive function in postmenopausal women receiving endocrine therapy for breast cancer: The Exercise Program in Cancer and Cognition randomized controlled trial.

Objective: The Exercise Program in Cancer and Cognition (EPICC) Study was a randomized controlled trial (RCT) designed to determine whether six months of moderate-intensity aerobic exercise improves neurocognitive function in women with breast cancer (BC) receiving endocrine therapy (ET). Methods: Postmenopausal women with hormone receptor+, early-stage BC, within two years post-primary therapy were randomized to the exercise intervention (six months, ≥150 minutes of moderate-intensity aerobic exercise/week) or usual care control condition. Outcomes were assessed at pre-randomization and after intervention completion. Groups were compared using linear mixed-effects modeling. Results: Participants (N=153) were X ¯ = 62.09 ± 8.27 years old, with stage I BC (64.1%) and a median of 4.7 months post-diagnosis. We found a group-by-time interaction (p=0.041) and a trend for the main effect of time (p=0.11) for processing speed with improved performance in the exercise group and no change in the controls. Similar main effects of time were observed for learning and memory (p=0.024) and working memory (p=0.01). Better intervention adherence was associated with improved processing speed (p=0.017). Conclusions: Six months of moderate-intensity aerobic exercise improves processing speed in postmenopausal women with BC receiving ET who initiate exercise within two years of completing primary therapy (surgery +/- chemotherapy). This is the first large-scale study to examine the effects of aerobic exercise on neurocognitive function in women with BC. Additional research is needed to address the long-term effects of aerobic exercise on cognitive function.

Perturbations in inflammatory pathways are associated with shortness of breath profiles in oncology patients receiving chemotherapy.

PURPOSE: One plausible mechanistic hypothesis is the potential contribution of inflammatory mechanisms to shortness of breath. This study was aimed to evaluate for associations between the occurrence of shortness of breath and perturbations in inflammatory pathways. METHODS: Patients with cancer reported the occurrence of shortness of breath six times over two cycles of chemotherapy. Latent class analysis was used to identify subgroups of patients with distinct shortness of breath occurrence profiles (i.e., none (70.5%), decreasing (8.2%), increasing (7.8%), high (13.5%)). Using an extreme phenotype approach, whole transcriptome differential gene expression and pathway impact analyses were performed to evaluate for perturbed signaling pathways associated with shortness of breath between the none and high classes. Two independent samples (RNA-sequencing (n = 293) and microarray (n = 295) methodologies) were evaluated. Fisher's combined probability method was used to combine these results to obtain a global test of the null hypothesis. In addition, an unweighted knowledge network was created using the specific pathway maps to evaluate for interconnections among these pathways. RESULTS: Twenty-nine Kyoto Encyclopedia of Genes and Genomes inflammatory signaling pathways were perturbed. The mitogen-activated protein kinase signaling pathway node had the highest closeness, betweenness, and degree scores. In addition, five common respiratory disease-related pathways, that may share mechanisms with cancer-related shortness of breath, were perturbed. CONCLUSIONS: Findings provide preliminary support for the hypothesis that inflammation contribute to the occurrence of shortness of breath in patients with cancer. In addition, the mechanisms that underlie shortness of breath in oncology patients may be similar to other respiratory diseases.

Stability and consistency of symptom clusters in younger versus older patients receiving chemotherapy.

BACKGROUND: By 2035, the number of newly diagnosed cancer cases will double and over 50% will be in older adults. Given this rapidly growing demographic, a need exists to understand how age influences oncology patients' symptom burden. The study purposes were to evaluate for differences in the occurrence, severity, and distress of 38 symptoms in younger (< 60 years) versus older (≥ 60 years) oncology patients undergoing chemotherapy and to evaluate for differences in the stability and consistency of symptom clusters across the two age groups. METHODS: A total of 1329 patients were dichotomized into the younger and older groups. Patients completed demographic and clinical questionnaires prior to the initiation of their second or third cycle of chemotherapy. A modified version of Memorial Symptom Assessment Scale was used to evaluate the occurrence, severity, and distress of 38 common symptoms associated with cancer and its treatment. Differences between the two age groups in demographic and clinical characteristics and ratings of occurrence, severity, and distress for the 38 symptoms were evaluated using parametric and nonparametric tests. Exploratory factor analyses were done within each age group to identify symptom clusters using symptom occurrence rates. RESULTS: Compared to the younger group (14.8 (± 7.0)), older adults reported a lower mean number of symptoms (12.9 (± 7.2)). Older patients experienced lower occurrence rates for almost 50% of the symptoms. Regarding symptom clusters, an eight-factor solution was selected for both age groups. Across the two age groups, the eight symptom clusters (i.e., physical and cognitive fatigue, respiratory, psychological, hormonal, chemotherapy-related toxicity, weight gain, gastrointestinal, epithelial) were stable. However, symptoms within the physical and cognitive, chemotherapy-related toxicity, and gastrointestinal clusters were not consistent across the age groups. CONCLUSIONS: To be able to provide tailored and effective symptom management interventions to older oncology patients, routine assessments of the core symptoms unique to the symptom clusters identified for this group warrants consideration. The underlying mechanism(s) for these inconsistencies in symptom burden is an important focus for future studies.

Pain-related single nucleotide polymorphisms: association with lumbar spinal stenosis patient experience and non-surgical treatment outcomes.

PURPOSE: Lumbar spinal stenosis (LSS) is common in our aging population resulting in pain and functional impairment. Recent advances in pain research have identified several single nucleotide polymorphisms (SNP) associated with inter-individual symptom and treatment response. The goal of the current study was to investigate the association of SNPs in Neuropeptide Y (NPY) and Catechol-O-methyltransferase (COMT) with pain, function, and treatment outcomes in Lumbar spinal stenosis (LSS) patients receiving non-surgical treatments. METHODS: An exploratory observational biomarker study was performed ancillary to a previously published clinical trial evaluating three different non-surgical treatments for LSS. Saliva samples were obtained for single nucleotide polymorphism genotyping and blood samples were collected for NPY protein. Data on pain and function collected as part of the clinical trial at baseline, 2 and 6 months were examined for association with known polymorphisms in NPY and COMT. RESULTS: Subjects with the NPY rs16147 TT genotype exhibited higher baseline symptom severity but also a higher likelihood of responding to non-surgical treatments. Subjects with the COMT rs4680 GG genotype also exhibited higher baseline symptom severity but did not demonstrate greater response to treatment. CONCLUSIONS: NPY rs16147 and COMT rs4680 are important potential biomarkers associated with pain and function. NPY genotype may be useful in predicting response to non-surgical treatments in older adults with LSS.

The CARING study: Examining biological, behavioral, and genetic mechanisms in the intergenerational transmission of toxic stress.

When children experience extreme or persistent stressors (e.g., maltreatment, housing insecurity, intimate partner violence), prolonged elevation of the stress-response system can lead to disrupted development of multiple physiological systems. This response, known as toxic stress, is associated with poor physical and mental health across the life course. Emerging evidence suggests that the effects of toxic stress may be transmitted through generations, but the biological and behavioral mechanisms that link caregivers' childhood history with the health of the children they care for remain poorly understood. The purpose of this report is to describe the research protocol for The CARING (Childhood Adversity and Resilience In the Next Generation) Study, a cross-sectional study of caregivers with children aged 3-5 years designed to (1) examine the intergenerational transmission of toxic stress and protective factors; (2) explore three hypothesized pathways of transmission: parenting, daily routines, stressors, and supports; and (3) explore the extent to which genotypic variation in candidate genes related to caregiving and stress contribute to caregivers' and children's susceptibility to the effects of early childhood experiences (i.e., gene × environment interactions). We expect that findings from this study will provide critical data needed to identify targets for precision health interventions, reduce health disparities related to toxic stress, and prevent cycles of adversity among families at risk.

Increases in stress and adverse childhood experiences are associated with the co-occurrence of anxiety and depression in oncology patients.

PURPOSE: Identify subgroups of patients with distinct joint anxiety AND depression profiles and evaluate for differences in demographic and clinical characteristics, as well as stress, resilience, and coping. DESIGN: Longitudinal study. PARTICIPANTS: Patients (n = 1328) receiving chemotherapy. METHODS: Measures of state anxiety and depression were done six times over two cycles of chemotherapy. All of the other measures were completed prior to second or third cycle of chemotherapy. Latent profile analysis was used to identify the distinct joint anxiety and depression profiles. FINDINGS: Three classes were identified (i.e. Low Anxiety and Low Depression (57.5%); Moderate Anxiety and Moderate Depression (33.7%), High Anxiety and High Depression (8.8%)). For all of the stress measures, a dose response effect was seen among the profiles. Two worst profiles reported higher occurrence rates for a number of adverse childhood experiences. IMPLICATIONS FOR PROVIDERS: Patients need referrals for stress reduction techniques and mental health and social services.

Neonatal Diet Type and Associations With Adverse Feeding Outcomes in Neonates With Critical Congenital Heart Defects.

BACKGROUND: Neonates with critical congenital heart defects (CCHD neonates) experience high rates of feeding intolerance, necrotizing enterocolitis (NEC), and malnutrition. The benefits of human milk and direct chest/breastfeeding are well known, but research is limited in CCHD neonates. Therefore, the purpose of this study is to examine the impact of neonatal diet and feeding modality on the incidence of feeding intolerance, NEC, and malnutrition among a cohort of CCHD neonates. METHODS: A single-center retrospective study was conducted using electronic health record data of CCHD neonates admitted to a cardiac intensive care unit between April 2016 and April 2020. Regression models were fit to analyze associations between neonatal diet, feed modality, and adverse feeding outcomes. RESULTS: Seventy-four CCHD neonates were included. Increased days of direct chest/breastfeeding were associated with fewer signs of gastrointestinal distress ( P = .047) and bloody stools ( P = .021). Enteral feeding days of "all human milk" were associated with higher growth trajectory ( P < .001). CONCLUSIONS: Human milk and direct chest/breastfeeding may be protective against some adverse feeding outcomes for CCHD neonates. Larger, multicenter cohort studies are needed to continue investigating the effects of neonatal diet type and feeding modality on the development of adverse feeding outcomes in this unique population.

Psychoneurological symptom cluster trajectories in individuals treated for early-stage breast cancer.

BACKGROUND/PURPOSE: The psychoneurological (PN) symptom cluster has been defined in the literature as anxiety, depression, fatigue, sleep disturbance, and pain. PN symptoms are influenced by cancer and its treatment as well as biological and psychosocial factors. The purpose of this analysis was to describe temporal patterns of the PN symptom cluster severity in breast cancer survivors over the year following initial surgical intervention and investigate the time-dependent effect of treatment modality on symptom severity. METHODS: In a prospective longitudinal study, symptom data were collected from individuals with early-stage breast cancer 48 h after initial surgery and at monthly intervals for the subsequent 12 months using the PROMIS®-29 subscales for anxiety, depression, fatigue, sleep disturbance, and pain. Applying group-based trajectory modeling, we classified participants into subgroups with similar temporal patterns of PN symptom cluster severity and included treatment modality as a time-dependent covariate. RESULTS: Across 353 participants (mean age 60.10 ± 11.9 years, 88.95% white, 66.57% undergoing segmental mastectomies), four distinct trajectory subgroups (mild [47.6%; n = 168], moderate [28.3%; n = 100], severe [15.9%; n = 56], and most severe increasing [8.2%; n = 29]) were revealed for PN symptom cluster severity. Chemotherapy was associated with greater severity in all symptom severity subgroups, while radiation was associated with greater symptom severity in the mild and most severe increasing subgroups. CONCLUSIONS AND IMPLICATIONS: A subgroup of individuals with early-stage breast cancer experienced persistent severe PN symptoms. Future research should focus on psychosocial, biological, and disease-related characteristics of individuals in the most severe symptom group to inform preventative treatments and effective interventions.

Genetic variability of oxidative stress and DNA repair genes associated with pre-treatment cancer-related fatigue in women with breast cancer.

PURPOSE: Investigate potential relationships between pre-treatment cancer-related fatigue (CRF) in women with early-stage breast cancer and variation in genes involved with oxidative stress and DNA repair. METHODS: Investigated 39 functional and tagging single nucleotide polymorphisms (SNPs) in genes involved in oxidative stress (CAT, GPX1, SEPP1, SOD1, and SOD2) and DNA repair (ERCC2, ERCC3, ERCC5, and PARP1) in a sample (N = 219) that included n = 138 postmenopausal women diagnosed with early-stage breast cancer before initiation of therapy and n = 81 age- and education-matched healthy controls. Using the Profile of Mood States Fatigue/Inertia Subscale, fatigue occurrence and severity were evaluated in both groups. Regression analysis was used to independently identify significant SNPs for three outcomes: 1) any fatigue versus no fatigue, 2) clinically meaningful versus non-clinically meaningful fatigue, and 3) fatigue severity. Using a weighted multi-SNP method, genetic risk scores (GRS) were calculated for each participant, and GRS models were constructed for each outcome. Models were adjusted for age, pain, and symptoms of depression and anxiety. RESULTS: SEPP1rs3877899, ERCC2rs238406, ERCC2rs238416, ERCC2rs3916874, and ERCC3rs2134794 were associated with fatigue occurrence and had a significant GRS model (OR = 1.317, 95%CI [1.067, 1.675], P ≤ 0.05). One SNP, SOD2rs5746136, was significant for clinically meaningful fatigue; therefore, a GRS model could not be constructed. ERCC3rs4150407, ERCC3rs4150477, and ERCC3rs2134794 were associated with fatigue severity with a significant GRS model (b = 1.010, 95%CI [1.647, 4.577], R2 = 6.9%, P ≤ 0.01). CONCLUSIONS: These results may contribute to identifying patients who are at risk of developing CRF. Oxidative stress and DNA repair biological pathways may be involved with CRF.

Prediction of morning fatigue severity in outpatients receiving chemotherapy: less may still be more.

INTRODUCTION: Fatigue is the most common and debilitating symptom experienced by cancer patients undergoing chemotherapy (CTX). Prediction of symptom severity can assist clinicians to identify high-risk patients and provide education to decrease symptom severity. The purpose of this study was to predict the severity of morning fatigue in the week following the administration of CTX. METHODS: Outpatients (n = 1217) completed questionnaires 1 week prior to and 1 week following administration of CTX. Morning fatigue was measured using the Lee Fatigue Scale (LFS). Separate prediction models for morning fatigue severity were created using 157 demographic, clinical, symptom, and psychosocial adjustment characteristics and either morning fatigue scores or individual fatigue item scores. Prediction models were created using two regression and five machine learning approaches. RESULTS: Elastic net models provided the best fit across all models. For the EN model using individual LFS item scores, two of the 13 individual LFS items (i.e., "worn out," "exhausted") were the strongest predictors. CONCLUSIONS: This study is the first to use machine learning techniques to accurately predict the severity of morning fatigue from prior to through the week following the administration of CTX using total and individual item scores from the Lee Fatigue Scale (LFS). Our findings suggest that the language used to assess clinical fatigue in oncology patients is important and that two simple questions may be used to predict morning fatigue severity.

Identification of distinct symptom profiles in patients with gynecologic cancers using a pre-specified symptom cluster.

PURPOSE: Pain, fatigue, sleep disturbance, and depression are four of the most common symptoms in patients with gynecologic cancer. The purposes were to identify subgroups of patients with distinct co-occurring pain, fatigue, sleep disturbance, and depression profiles (i.e., pre-specified symptom cluster) in a sample of patients with gynecologic cancer receiving chemotherapy and assess for differences in demographic and clinical characteristics, as well as the severity of other common symptoms and QOL outcomes among these subgroups. METHODS: Patients completed symptom questionnaires prior to their second or third cycle of chemotherapy. Latent profile analysis was used to identify subgroups of patients using the pre-specified symptom cluster. Parametric and nonparametric tests were used to evaluate for differences between the subgroups. RESULTS: In the sample of 233 patients, two distinct latent classes were identified (i.e., low (64.8%) and high (35.2%)) indicating lower and higher levels of symptom burden. Patients in high class were younger, had child care responsibilities, were unemployed, and had a lower annual income. In addition, these women had a higher body mass index, a higher comorbidity burden, and a lower functional status. Patients in the high class reported higher levels of anxiety, as well as lower levels of energy and cognitive function and poorer quality of life scores. CONCLUSIONS: This study identified a number of modifiable and non-modifiable risk factors associated with membership in the high class. Clinicians can use this information to refer patients to dieticians and physical therapists for tailored interventions.

Anxiety in oncology outpatients is associated with perturbations in pathways identified in anxiety focused network pharmacology research.

PURPOSE: Evaluate for perturbed signaling pathways associated with subgroups of patients with low versus high levels of state anxiety. These pathways were compared to the pathways identified across eight network pharmacology studies of the anxiolytic effect(s) of a variety of compounds. METHODS: Adult outpatients had a diagnosis of breast, gastrointestinal, gynecological, or lung cancer; had received chemotherapy within the preceding four weeks; and were scheduled to receive at least two additional cycles of chemotherapy. Latent profile analysis was used to identify subgroups of patients with distinct anxiety profiles based on Spielberger State Anxiety Inventory scores that were obtained six times over two cycles of chemotherapy. Blood samples were processed using RNA sequencing (i.e., RNA-seq sample, n = 244) and microarray (i.e., microarray sample; n = 256) technologies. Pathway perturbations were assessed using pathway impact analysis. Fisher's combined probability method was used to combine test results using a false discovery rate of 0.01. RESULTS: In the RNA-seq sample, 62.3% and 37.7% of the patients were in the low- and high-anxiety classes, respectively. In the microarray sample, 61.3% and 38.7% were in the low and high-anxiety classes, respectively. Forty-one perturbed signaling pathways were identified. Eight of these pathways were common to those identified in the network pharmacology studies. CONCLUSIONS: Findings increase our knowledge of the molecular mechanisms that underlie anxiety in patients receiving chemotherapy. This study provides initial insights into how anxiety in patients with cancer may share common mechanisms with anxiety in patients with other clinical conditions.

Distinct Profiles of Morning and Evening Fatigue Co-Occurrence in Patients During Chemotherapy.

BACKGROUND: Morning and evening fatigue are distinct and distressing symptoms experienced during chemotherapy that demonstrate a large amount of interindividual variability. OBJECTIVES: The objectives of this study were to identify subgroups of patients with distinct morning and evening fatigue co-occurrence profiles and evaluate for differences among these subgroups in demographic, clinical, and symptom characteristics and quality of life. METHODS: Oncology patients ( n = 1,334) completed the Lee Fatigue Scale to self-report morning and evening fatigue, six times over two cycles of chemotherapy. Latent profile analysis was used to identify subgroups of patients with distinct morning and evening physical fatigue profiles. RESULTS: Four distinct morning and evening fatigue profiles were identified (i.e., Both Low, Low Morning + Moderate Evening, Both Moderate, and Both High). Compared to the Both Low profile, the Both High profile was significantly younger, less likely to be married or partnered, more likely to live alone, had a higher comorbidity burden, and lower functional status. The Both High profile had higher levels of anxiety, depressive symptoms, sleep disturbance, and pain and lower levels of quality of life. DISCUSSION: The variability in the morning and evening severity scores among the four profiles supports the hypothesis that morning and evening fatigue are distinct but related symptoms. Clinically meaningful levels of both morning and evening fatigue were reported by 50.4% of our sample, which suggests that the co-occurrence of these two symptoms is relatively common. Patients in Both Moderate and Both High profiles experienced an extremely high symptom burden that warrants ongoing assessments and aggressive symptom management interventions.

Scoping Review of Early Toxic Stress and Epigenetic Alterations in the Neonatal Intensive Care Unit.

BACKGROUND: Preterm infants are uniquely vulnerable to early toxic stress exposure while in the neonatal intensive care unit (NICU) and also being at risk for suboptimal neurodevelopmental outcomes. However, the complex biological mechanisms responsible for variations in preterm infants' neurodevelopmental outcomes because of early toxic stress exposure in the NICU remain unknown. Innovative preterm behavioral epigenetics research offers a possible mechanism and describes how early toxic stress exposure may lead to epigenetic alterations, potentially affecting short- and long-term outcomes. OBJECTIVE: The aim of this study was to review the relationships between early toxic stress exposures in the NICU and epigenetic alterations in preterm infants. The measurement of early toxic stress exposure in the NICU and effect of epigenetic alterations on neurodevelopmental outcomes in preterm infants were also examined. METHODS: We conducted a scoping review of the literature published between January 2011 and December 2021 using databases PubMed, CINAHL, Cochrance Library, PsycINFO, and Web of Science. Primary data-based research that examined epigenetics, stress, and preterm infants or NICU were included. RESULTS: A total of 13 articles from nine studies were included. DNA methylations of six specific genes were studied in relation to early toxic stress exposure in the NICU: SLC6A4, SLC6A3, OPRMI, NR3C1, HSD11B2, and PLAGL1. These genes are responsible for regulating serotonin, dopamine, and cortisol. Poorer neurodevelopmental outcomes were associated with alterations in DNA methylation of SLC6A4, NR3C1, and HSD11B2. Measurements of early toxic stress exposure in the NICU were inconsistent among the studies. DISCUSSION: Epigenetic alterations secondary to early toxic stress exposures in the NICU may be associated with future neurodevelopmental outcomes in preterm infants. Common data elements of toxic stress exposure in preterm infants are needed. Identification of the epigenome and mechanisms by which early toxic stress exposure leads to epigenetic alterations in this vulnerable population will provide evidence to design and test individualized intervention.

An Evaluation of the Multifactorial Model of Cancer-Related Cognitive Impairment.

BACKGROUND: Up to 45% of patients report cancer-related cognitive impairment (CRCI). A variety of characteristics are associated with the occurrence and/or severity of CRCI. However, an important gap in knowledge of risk factors for CRCI is the relative contribution of each factor. The multifactorial model of cancer-related cognitive impairment (MMCRCI) is a conceptual model of CRCI that can be used to evaluate the strength of relationships between various factors and CRCI. OBJECTIVES: The purpose of this study was to use structural regression methods to evaluate the MMCRCI using data from a large sample of outpatients receiving chemotherapy ( n = 1,343). Specifically, the relationships between self-reported CRCI and four MMCRCI concepts (i.e., social determinants of health, patient-specific factors, treatment factors, and co-occurring symptoms) were examined. The goals were to determine how well the four concepts predicted CRCI and determine the relative contribution of each concept to deficits in perceived cognitive function. METHODS: This study is part of a larger, longitudinal study that evaluated the symptom experience of oncology outpatients receiving chemotherapy. Adult patients were diagnosed with breast, gastrointestinal, gynecological, or lung cancer; had received chemotherapy within the preceding 4 weeks; were scheduled to receive at least two additional cycles of chemotherapy; were able to read, write, and understand English; and gave written informed consent. Self-reported CRCI was assessed using the attentional function index. Available study data were used to define the latent variables. RESULTS: On average, patients were 57 years of age, college educated, and with a mean Karnofsky Performance Status score of 80. Of the four concepts evaluated, whereas co-occurring symptoms explained the largest amount of variance in CRCI, treatment factors explained the smallest amount of variance. A simultaneous structural regression model that estimated the joint effect of the four exogenous latent variables on the CRCI latent variable was not significant. DISCUSSION: These findings suggest that testing individual components of the MMCRCI may provide useful information on the relationships among various risk factors, as well as refinements of the model. In terms of risk factors for CRCI, co-occurring symptoms may be more significant than treatment factors, patient-specific factors, and/or social determinants of health in patients receiving chemotherapy.

Epigenetic Regulation of Inflammatory Mechanisms and a Psychological Symptom Cluster in Patients Receiving Chemotherapy.

BACKGROUND: A psychological symptom cluster is the most common cluster identified in oncology patients. Although inflammatory mechanisms are hypothesized to underlie this cluster, epigenetic contributions are unknown. OBJECTIVES: This study's purpose was to evaluate associations between the occurrence of a psychological symptom cluster and levels of DNA methylation for inflammatory genes in a heterogeneous sample of patients with cancer receiving chemotherapy. METHODS: Prior to their second or third cycle of chemotherapy, 1,071 patients reported the occurrence of 38 symptoms using the Memorial Symptom Assessment Scale. A psychological cluster was identified using exploratory factor analysis. Differential methylation analyses were performed in two independent samples using Illumina Infinium 450K and EPIC microarrays. Expression-associated CpG (eCpG) loci in the promoter region of 114 inflammatory genes on the 450K and 112 genes on the EPIC microarray were evaluated for associations with the psychological cluster. Robust rank aggregation was used to identify differentially methylated genes across both samples. Significance was assessed using a false discovery rate of 0.05 under the Benjamini-Hochberg procedure. RESULTS: Cluster of differentiation 40 ( CD40 ) was differentially methylated across both samples. All six promoter eCpGs for CD40 that were identified across both samples were hypomethylated in the psychological cluster group. CONCLUSIONS: This study is the first to suggest associations between a psychological symptom cluster and differential DNA methylation of a gene involved in tissue inflammation and cell-mediated immunity. Our findings suggest that increased CD40 expression through hypomethylation of promoter eCpG loci is involved in the occurrence of a psychological symptom cluster in patients receiving chemotherapy. These findings suggest a direction for mechanistic studies.

Feasibility of Stress Research in Premature Infant-Maternal Dyads During and After Neonatal Intensive Care Unit Hospitalization.

BACKGROUND: Stress from preterm infant admission to the neonatal intensive care unit (NICU) is associated with infant and maternal physiologic changes, including endocrine and epigenetic alterations. Little is known about the mechanisms connecting NICU stress to biologic changes, and whether preterm infant and maternal stress are reciprocal. As a preliminary step, feasibility and acceptability of measuring indicators of stress are required. PURPOSE: This study evaluated the feasibility and acceptability of research examining perceptions and biologic markers of stress in premature infant-maternal dyads during and after NICU hospitalization. METHODS: We evaluated study feasibility using a longitudinal descriptive design. Acceptability was measured via a maternal questionnaire. Exploratory data regarding hospitalization, perceptions of stress, social support and social determinants of health, and biologic markers of stress were collected during the first week of life and again 3 months after NICU. RESULTS: Forty-eight mothers were eligible for the study, 36 mothers were approached, 20 mothers consented to participate, and 14 mothers completed data collection. Mothers reported high levels of study acceptability despite also voicing concern about the sharing of genetic data. Exploration of DNA methylation of SLC6A4 in preterm infants was significant for a strong correlation with perception of total chronic stress. IMPLICATIONS FOR PRACTICE AND RESEARCH: Clinical practice at the bedside in the NICU should include standardized screening for and early interventions to minimize stress. Complex research of stress is feasible and acceptable. Future research should focus on linking early life stress with epigenetic alterations and evaluation of the dyad for reciprocity.

Risk factors for worse anxiety trajectories among patients undergoing cancer chemotherapy.

PURPOSE: Patients undergoing chemotherapy for cancer often experience heightened anxiety. While receipt of chemotherapy occurs over multiple cycles, limited research has examined anxiety longitudinally. The purposes of this study, in a large sample of patients with breast, gynecological, gastrointestinal, or lung cancer, were to evaluate, over the course of two cycles of chemotherapy, for inter-individual differences in the trajectories of anxiety and identify associations between demographic, clinical, symptom, and psychological adjustment characteristics and initial levels and trajectories of anxiety. METHODS: Patients with breast, gynecologic, lung, or gastrointestinal cancer (n = 1323) were assessed with the Spielberger State Anxiety Inventory (STAI-S) six times over two cycles of chemotherapy. At enrollment, patients completed self-report instruments assessing demographic, symptom, stress, and coping characteristics. We used hierarchical linear modeling to identify risk factors associated with initial levels and trajectories of state anxiety. RESULTS: Inter-individual differences in initial levels of anxiety were associated with functional status, sleep disturbance, morning fatigue, cognitive function, global and cancer-specific stress, resilience, and several coping characteristics (i.e., sense of coherence, acceptance, using emotional support, self-distraction, denial, venting, and self-blame). Demographic and clinical characteristics associated with interindividual differences in anxiety trajectories were age, employment status, and MAX-2 score. CONCLUSION: This study provides novel data on the course and predictors of anxiety during two cycles of chemotherapy among a large sample of patients with varied cancer types. Further research focused on risk factors for heightened levels of anxiety during chemotherapy may help point toward more effective interventions for this commonly experienced symptom.

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.