DNA methylation profiles of cancer-related fatigue associated with markers of inflammation and immunometabolism.

Cancer patients are commonly affected by fatigue. Herein, we sought to examine epigenetic modifications (i.e., DNA methylation) related to fatigue in peripheral blood among patients during and after treatment for head and neck cancer (HNC). Further, we determined whether these modifications were associated with gene expression and inflammatory protein markers, which we have previously linked to fatigue in HNC. This prospective, longitudinal study enrolled eligible patients with data collected at pre-radiotherapy, end of radiotherapy, and six months and one-year post-radiotherapy. Fatigue data were reported by patients using the Multidimensional Fatigue Inventory (MFI)-20. DNA methylation (Illumina MethylationEPIC) and gene expression (Applied Biosystems Clariom S) arrays and assays for seven inflammatory markers (R&D Systems multiplex) were performed. Mixed models and enrichment analyses were applied to establish the associations. A total of 386 methylation loci were associated with fatigue among 145 patients (False Discovery Rate [FDR] < 0.05). Enrichment analyses showed the involvement of genes related to immune and inflammatory responses, insulin and lipid metabolism, neuropsychological disorders, and tumors. We further identified 16 methylation-gene expression pairs (FDR < 0.05), which were linked to immune and inflammatory responses and lipid metabolism. Ninety-one percent (351) of the 386 methylation loci were also significantly associated with inflammatory markers (e.g., interleukin 6, c-reactive protein; FDR < 0.05), which further mediated the association between methylation and fatigue (FDR < 0.05). These data suggest that epigenetic modifications associated with inflammation and immunometabolism, in conjunction with relevant gene expression and protein markers, are potential targets for treating fatigue in HNC patients. The findings also merit future prospective studies in other cancer populations as well as interventional investigations.

Circulating short chain fatty acids and fatigue in patients with head and neck cancer: A longitudinal prospective study.

Fatigue among patients with head and neck cancer (HNC) has been associated with higher inflammation. Short-chain fatty acids (SCFAs) have been shown to have anti-inflammatory and immunoregulatory effects. Therefore, this study aimed to examine the association between SCFAs and fatigue among patients with HNC undergoing treatment with radiotherapy with or without concurrent chemotherapy. Plasma SCFAs and the Multidimensional Fatigue Inventory-20 were collected prior to and one month after the completion of treatment in 59 HNC patients. The genome-wide gene expression profile was obtained from blood leukocytes prior to treatment. Lower butyrate concentrations were significantly associated with higher fatigue (p = 0.013) independent of time of assessment, controlling for covariates. A similar relationship was observed for iso/valerate (p = 0.025). Comparison of gene expression in individuals with the top and bottom 33% of butyrate or iso/valerate concentrations prior to radiotherapy revealed 1,088 and 881 significantly differentially expressed genes, respectively (raw p < 0.05). The top 10 Gene Ontology terms from the enrichment analyses revealed the involvement of pathways related to cytokines and lipid and fatty acid biosynthesis. These findings suggest that SCFAs may regulate inflammatory and immunometabolic responses and, thereby, reduce inflammatory-related symptoms, such as fatigue.

A network analysis of self-reported psychoneurological symptoms in patients with head and neck cancer undergoing intensity-modulated radiotherapy.

BACKGROUND: Patients with head and neck cancer experience psychoneurological symptoms (PNS) (i.e., depression, fatigue, sleep disturbance, pain, and cognitive dysfunction) during intensity-modulated radiotherapy (IMRT) that decrease their functional status, quality of life, and survival rates. The purpose of this study was to examine and visualize the relationships among PNS within networks over time and evaluate for demographic and clinical characteristics associated with symptom networks. METHODS: A total of 172 patients (mean age, 59.8 ± 9.9 years; 73.8%, male; 79.4%, White) completed symptom questionnaires four times, namely, before IMRT (T1), 1 month (T2), 3 months (T3), and 12 months (T4) post IMRT. Network analysis was used to examine the symptom-symptom relationships among PNS. Centrality indices, including strength, closeness, and betweenness, were used to describe the degrees of symptom network interconnections. Network comparison test was used to assess the differences between two symptom networks. RESULTS: Depression was associated with the other four symptoms, and fatigue was associated with the other three symptoms across the four assessments. Based on the centrality indices, depression (rstrength  = 1.3-1.4, rcloseness  = 0.06-0.08, rbetweeness  = 4-10) was the core symptom in all symptom networks, followed by fatigue. Female gender, higher levels of stress, and no alcohol use were associated with stronger symptom networks in network global strength before IMRT. CONCLUSION: Network analysis provides a novel approach to gain insights into the relationships among self-reported PNS and identify the core symptoms and associated characteristics. Clinicians may use this information to develop symptom management interventions that target core symptoms and interconnections within a network. LAY SUMMARY: This study describes the symptom-symptom relationships for five common symptoms in patients with head and neck cancer receiving radiotherapy. Depression and fatigue appeared to be two core symptoms that were connected with sleep disturbance, pain, and cognitive dysfunction within a network. Several characteristics (i.e., female, higher stress, no alcohol use) were associated with stronger symptom networks.

Epigenetic age acceleration, fatigue, and inflammation in patients undergoing radiation therapy for head and neck cancer: A longitudinal study.

BACKGROUND: The authors measured epigenetic age acceleration (EAA) during and after cancer treatment and its association with inflammation and fatigue, which is a debilitating symptom in patients with cancer. METHODS: Patients who had head and neck cancer without distant metastases were assessed before, immediately after, and at 6 months and 12 months postradiotherapy. Blood DNA methylation was assessed using a proprietary bead chip (the Illumina MethylationEPIC BeadChip). EAA was calculated using the Levine epigenetic clock (DNAmPhenoAge), adjusted for chronological age. Fatigue was assessed using the Multidimensional Fatigue Inventory-20. Inflammatory markers were measured using standard techniques. RESULTS: Most patients (N = 133) were men, White, had advanced disease, and received concurrent chemoradiation. EAA changes over time were significant, with the largest increase (4.9 years) observed immediately after radiotherapy (P < .001). Increased EAA was associated with elevated fatigue (P = .003) over time, and patients who had severe fatigue experienced 3.1 years higher EAA than those who had low fatigue (P < .001), which was more prominent (5.6 years; P = .018) for patients who had human papillomavirus-unrelated disease at 12 months posttreatment. EAA was also positively associated with inflammatory markers, including C-reactive protein (CRP) and interleukin-6 (IL-6), over time (P < .001), and patients who had high CRP and IL-6 levels exhibited increases of 4.6 and 5.9 years, respectively, in EAA compared with those who had low CRP and IL-6 levels (P < .001). CRP and IL-6 mediated the association between EAA and fatigue (CRP: 95% CI, 0.060-0.279; IL-6: 95% CI, 0.024-0.220). CONCLUSIONS: Patients with head and neck cancer experienced increased EAA, especially immediately after treatment completion. EAA was associated with greater fatigue and inflammation, including 1 year after treatment. Inflammation may be a target to reduce the impact of age acceleration on poor functional outcomes.

Self-reported late effect symptom clusters among young pediatric cancer survivors.

PURPOSE: Most survivors of childhood cancer experience subsequent chronic conditions but little is known about concurrent symptoms. This study seeks to identify late effect symptom clusters among young pediatric cancer survivors. METHODS: Survivors ≥ 18 or parents of survivors < 18 years enrolled in an institutional cohort study indicated (yes/no) if they experienced certain symptoms after treatment. The sample was randomly divided in half for exploratory factor analyses to identify symptom clusters followed by confirmatory factor analyses. Symptoms with ≥ 10% prevalence were included. Cluster structure generalizability across subgroups was examined using congruence coefficients. RESULTS: The sample included 579 survivors (74% non-Hispanic white, 45% leukemia, 12.8 ± 4.5 years at survey, 5.9 ± 3.5 years since therapy). Respondents averaged three symptoms. Three clusters were identified: (1) gastrointestinal: abdominal pain, diarrhea, constipation, nausea, vomiting (Cronbach's α = 0.74); (2) psychological: depression, anxiety, memory problems, anger management problems, sleep problems (α = 0.71); and (3) neurologic: problems walking, numbness/tingling, fatigue, back pain, chronic pain, weakness/inability to move legs (α = 0.71). Confirmatory factor analysis confirmed the three-cluster structure (standardized root mean square residual: 0.09; parsimonious goodness of fit: 0.96; Bentler-Bonett normed fit index: 0.95). The gastrointestinal and psychological clusters were generalizable across most subgroups while the neurologic cluster varied across age and race/ethnicity subgroups. CONCLUSION: Three distinct late effect symptom clusters were identified in young childhood cancer survivors with gastrointestinal and psychological clusters remaining relatively stable across subgroups. Future studies should focus on the characteristics of patients who experience these symptoms, especially those with high symptom burden, and the synergistic impact on quality of life.

The role of the gut microbiome in cancer-related fatigue: pilot study on epigenetic mechanisms.

PURPOSE: Recent evidence supports a key role of gut microbiome in brain health. We conducted a pilot study to assess associations of gut microbiome with cancer-related fatigue and explore the associations with DNA methylation changes. METHODS: Self-reported Multidimensional Fatigue Inventory and stool samples were collected at pre-radiotherapy and one-month post-radiotherapy in patients with head and neck cancer. Gut microbiome data were obtained by sequencing the 16S ribosomal ribonucleic acid gene. DNA methylation changes in the blood were assessed using Illumina Methylation EPIC BeadChip. RESULTS: We observed significantly different gut microbiota patterns among patients with high vs. low fatigue across time. This pattern was characterized by low relative abundance in short-chain fatty acid-producing taxa (family Ruminococcaceae, genera Subdoligranulum and Faecalibacterium; all p < 0.05), with high abundance in taxa associated with inflammation (genera Family XIII AD3011 and Erysipelatoclostridium; all p < 0.05) for high-fatigue group. We identified nine KEGG Orthology pathways significantly different between high- vs. low-fatigue groups over time (all p < 0.001), including pathways related to fatty acid synthesis and oxidation, inflammation, and brain function. Gene set enrichment analysis (GSEA) was performed on the top differentially methylated CpG sites that were associated with the taxa and fatigue. All biological processes from the GSEA were related to immune responses and inflammation (FDR < 0.05). CONCLUSIONS: Our results suggest different patterns of the gut microbiota in cancer patients with high vs. low fatigue. Results from functional pathways and DNA methylation analyses indicate that inflammation is likely to be the major driver in the gut-brain axis for cancer-related fatigue.

Cultural adaptation and psychometric evaluation of the Chinese version of the nurse-specific end-of-life professional caregiver survey: a cross-sectional study.

BACKGROUND: Nurses' palliative and hospice care-specific education is associated with the quality of palliative and hospice care that influences health outcomes of patients with life-limiting illnesses and their caregivers. However, China lacks measures available to assess nurses' educational needs in palliative and hospice care. The End-of-Life Professional Caregiver Survey (EPCS) is a psychometrically reliable self-reporting scale to measure multidisciplinary professionals' palliative and hospice care educational needs. This study was performed to explore the psychometric properties of the Chinese version of the EPCS (EPCS-C) among Chinese nurses. METHODS: We translated and culturally adapted the EPCS into Chinese based on Beaton and colleagues' instrument adaptation process. A cross-sectional study design was used. We recruited 312 nurses from 1482 nurses in a tertiary hospital in central China using convenience sampling to complete the study. Participants completed the EPCS-C and a demographic questionnaire. Exploratory and confirmatory factor analysis was carried out to test and verify the construct validity of the nurse-specific EPCS-C. Cronbach's alpha coefficient was used to appraise the reliability of the nurse-specific EPCS-C. RESULTS: A three-factor structure of EPCS-C was determined, including cultural, ethical, and national values; patient- and family-centered communication; and effective care delivery. The exploratory factor analysis explained 70.82% of the total variances. The 3-factor solution of the nurse-specific EPCS-C had a satisfactory model fit: χ2 = 537.96, χ2/df = 2.96, CFI = 0.94, RMSEA = 0.079, IFI = 0.94, and GFI = 0.86. Cronbach's alpha coefficient of the overall questionnaire was 0.96. CONCLUSIONS: The nurse-specific EPCS-C showed satisfactory reliability and validity to assess nurses' palliative and hospice care educational need. Further research is required to verify the reliability and validity of the EPCS-C in a larger sample, especially the criterion-related validity.

Association Among Glucocorticoid Receptor Sensitivity, Fatigue, and Inflammation in Patients With Head and Neck Cancer.

OBJECTIVE: Fatigued cancer patients often have high peripheral inflammation; however, the biological mechanisms of this association remain unclear. We examined whether decreased sensitivity of immune cells to the anti-inflammatory effects of glucocorticoids may contribute to inflammation and fatigue in head and neck cancer (HNC) patients during treatment. METHODS: HNC patients without distant metastasis and with curative intent (n = 77) were studied 1 week before intensity-modulated radiotherapy (IMRT) and 1 month after IMRT. At each time point, fatigue was measured by the Multidimensional Fatigue Inventory-20 along with plasma inflammation markers and glucocorticoid receptor (GR) sensitivity as determined by in vitro dexamethasone suppression of lipopolysaccharide-induced interleukin 6. Linear regression models were used. RESULTS: In contrast to our hypothesis, GR sensitivity increased during treatment; however, increased fatigue was associated with a lesser increase in GR sensitivity from baseline to 1 month after IMRT (unstandardized estimate = 4.07, p = .02). This effect was more prominent in human papillomavirus-unrelated HNCs (unstandardized estimate = 8.22, p = .002). Lower increases in GR sensitivity were also associated with increased inflammation at 1 month after IMRT as represented by C-reactive protein, interleukin 6, and tumor necrosis factor α. Addition of inflammation markers to models of GR sensitivity predicting fatigue indicated that these inflammation markers were stronger predictors of fatigue than GR sensitivity. CONCLUSIONS: Lower increases in GR sensitivity during HNC treatment were significantly predictive of increased fatigue and inflammation markers. Inflammation markers in turn predicted fatigue above and beyond levels of GR sensitivity. Our findings indicate that HNC patients with cancer-related fatigue may exhibit a decreased capacity for glucocorticoids to regulate inflammatory processes, as evidenced by a lower increase in GR sensitivity. Larger studies are necessary to verify the findings.

Pilot study of combined aerobic and resistance exercise on fatigue for patients with head and neck cancer: Inflammatory and epigenetic changes.

This pilot study examined whether a combined aerobic resistance exercise program reduced fatigue and the potential inflammatory and epigenetic mechanisms in patients with head and neck cancer (HNC) receiving intensity-modulated radiotherapy. The exercise group (N = 12) received a 3-month supervised aerobic resistance exercise intervention that was initiated before a 6-week radiotherapy regimen; the control group (N = 14) received standard care. Fatigue was measured using Multidimensional Fatigue Inventory-20; physical function measures included a 6-minute walk distance (6MWD), chair stands, bicep curls, and hand grip strength. Inflammatory markers and DNA methylation data were acquired using standardized protocol. Patients were mostly white (93%) and male (81%) with a mean age of 57 years. At the end of the intervention, the exercise group had a marginal decrease in fatigue compared with the control (-5.0 vs. 4.9; P = 0.10). The exercise group had a significantly greater improvement in 6MWD (29.8 vs. -55.5 m; P = 0.04), and a marginally smaller decline in hand grip (-0.3 vs. -5.8 lbs; P = 0.05) at the end of the intervention than the control. No significant difference in inflammatory markers was observed between groups. Lower plasma interleukin (IL) 6, IL1 receptor antagonist, tumor necrosis factor α (TNFα), soluble TNF receptor II and C-reactive protein were significantly associated with increased 6MWD, chair stand, and bicep curl at the end of the intervention (p < 0.05). Among the 1152 differentially methylated sites (DMS) after intervention (p < 0.001), 163 DMS were located in gene promoter regions. Enrichment analysis suggested that the top 10 upstream regulators were associated with tumor (HNF4A, RPP38, HOXA9, SAHM1, CDK7, NDN, RPS15) and inflammation (IRF7, CRKL, ONECUT1). The top 5 diseases or functions annotations of the 62 hypermethylated DMS indicated anti-tumor and anti-inflammatory effects that might be linked to exercise. These findings suggest that exercise may improve physical performance and reduce fatigue, which could be further linked to decreased inflammation, during active radiotherapy for HNC patients. Larger studies are warranted.

The State of the Science in Patient-Reported Outcomes for Patients with Lung Cancer.

Traditionally, clinicians have assumed the primary responsibility for evaluating disease- and treatment-related outcomes. In the past few decades, however, a series of recommendations and standards promulgated by professional societies and regulatory agencies have resulted in increased use of patient-reported outcome (PRO) measures in cancer clinical trials. PROs, such as quality of life (QOL) measures, are important in establishing overall treatment effectiveness in cancer clinical trials, and they can inform clinical decision making. This article discusses the current state of the science in PRO research for patients with lung cancer, the cancer type with the highest incidence rate and the lowest survival rate worldwide. The discussion focuses on (1) PRO and survival; (2) electronic PRO reporting and interventions; (3) PROs and immunotherapy; (4) PRO, biomarkers, and precision health; (5) key issues in applying PROs in clinical trials; and (6) future directions for research.

Smoking, age, nodal disease, T stage, p16 status, and risk of distant metastases in patients with squamous cell cancer of the oropharynx.

BACKGROUND: With an expectation of excellent locoregional control, ongoing efforts to de-intensify therapy for patients with human papillomavirus-associated squamous cell oropharyngeal cancer necessitate a better understanding of the metastatic risk for patients with this disease. The objective of this study was to determine what factors affect the risk of metastases in patients with squamous cell cancers of the oropharynx. METHODS: Under a shared use agreement, 547 patients from Radiation Therapy Oncology Group 0129 and 0522 with nonmetastatic oropharyngeal squamous cell cancers who had a known p16 status and smoking status were analyzed to assess the association of clinical features with the development of distant metastases. The analyzed factors included the p16 status, sex, T stage, N stage, age, and smoking history. RESULTS: A multivariate analysis of 547 patients with a median follow-up of 4.8 years revealed that an age ≥ 50 years (hazard ratio [HR], 3.28; P = .003), smoking for more than 0 pack-years (HR, 3.09; P < .001), N3 disease (HR, 2.64; P < .001), T4 disease (HR, 1.63; P = .030), and a negative p16 status (HR, 1.60; P = .044) were all factors associated with an increased risk of distant disease. CONCLUSIONS: Age, smoking, N3 disease, T4 disease, and a negative p16 status were associated with the development of distant metastases in patients with squamous cell cancers of the oropharynx treated definitively with concurrent chemoradiation.

Associations among human papillomavirus, inflammation, and fatigue in patients with head and neck cancer.

BACKGROUND: Human papillomavirus (HPV) infection has contributed to an increased incidence of squamous cell carcinoma of the head and neck (SCCHN). Fatigue is a major side effect of SCCHN and its treatment. However, to the authors' knowledge, the association between HPV and fatigue has not been examined to date, nor is it known whether HPV influences biological mechanisms of fatigue, including inflammation. METHODS: Patients with SCCHN who were without distant metastasis were assessed at baseline (pre-radiotherapy) and 1 month and 3 months postradiotherapy. Fatigue was measured using the Multidimensional Fatigue Inventory. Peripheral inflammation was assessed by plasma C-reactive protein (CRP), interleukin 1 receptor antagonist (IL-1ra), soluble tumor necrosis factor receptor 2 (sTNFR2), and IL-6. Mixed effect models were used to examine associations. RESULTS: A total of 94 patients who were newly diagnosed were enrolled; 53% had HPV-related tumors. Patients with HPV-unrelated tumors had higher fatigue and higher plasma CRP, sTNFR2, and IL-6 over time, especially at baseline and 3 months after intensity-modulated radiotherapy compared with those with HPV-related tumors (all P < .05). However, fatigue and plasma sTNFR2 increased more significantly from baseline to 1 month after radiotherapy in the HPV-related group compared with the HPV-unrelated group (both P < .01). Controlling for significant covariates, HPV status and inflammation were found to be independent predictors of fatigue over time. CONCLUSIONS: HPV status is an important marker of vulnerability to the behavioral and immune consequences of SCCHN and its treatment, providing support for different symptom management strategies. Special emphasis should be placed on addressing marked persistent fatigue in patients with HPV-unrelated tumors, whereas attention should be paid to the large increases in fatigue during treatment among patients with HPV-related tumors. Cancer 2018. © 2018 American Cancer Society.

Differential regulation of NF-kB and IRF target genes as they relate to fatigue in patients with head and neck cancer.

Previous studies have linked plasma inflammatory markers to elevated fatigue in patients with head and neck cancer (HNC). To identify the molecular mechanisms underlying this association, we conducted promoter-based bioinformatics analyses to determine the relationship between fatigue and specific gene expression profiles associated with inflammation in human papillomavirus (HPV)-related and -unrelated HNC patients undergoing treatment. Patients with newly diagnosed HNC without distant metastasis were assessed at baseline (pre-radiotherapy) and one-month post-radiotherapy. Fatigue was measured by the Multidimensional Fatigue Inventory. Genome-wide gene expression profiles were collected from peripheral blood mononuclear cells (PBMC). Promoter-based bioinformatics analyses were employed to identify transcription control pathways underlying transcriptomic correlates of fatigue in the sample as a whole and in HPV-related and HPV-unrelated HNC patients separately. In transcriptome profiling analyses of PBMC from 44 patients, TELiS bioinformatics analyses linked fatigue to increased nuclear factor-kappa B (NF-kB) transcriptional activity and decreased interferon regulatory factor family (IRF) transcription factor activity. Patients with HPV-related HNC showed lower levels of fatigue-related gene expression profile compared to HPV-unrelated HNC. Fatigue in HNC patients undergoing treatment is associated with gene expression profiles consistent with the conserved transcriptional response to adversity (CTRA) characterized by increased proinflammatory and decreased anti-antiviral transcriptional activity. Interestingly, this CTRA response was mitigated in patients with HPV-related HNC and may explain the lower level of fatigue they experience relative to HPV-unrelated HNC.

A systematic review of the association between fatigue and genetic polymorphisms.

Fatigue is one of the most common and distressing symptoms, leading to markedly decreased quality of life among a large subset of patients with a variety of disorders. Susceptibility to fatigue may be influenced by genetic factors including single nucleotide polymorphisms (SNPs), especially in the regulatory regions, of relevant genes. To further investigate the association of SNPs with fatigue in various patient populations, a systematic search was conducted on Pubmed, CINAHL, PsycINFO, and Sociological Abstracts Database for fatigue related-terms in combination with polymorphisms or genetic variation-related terms. Fifty papers in total met the inclusion and exclusion criteria for this analysis. These 50 papers were further classified into three subgroups for evaluation: chronic fatigue syndrome (CFS), cancer-related fatigue (CRF) and other disease-related fatigue. SNPs in regulatory pathways of immune and neurotransmitter systems were found to play important roles in the etiologies of CFS, CRF and other disease-related fatigue. Evidence for associations between elevated fatigue and specific polymorphisms in TNFα, IL1b, IL4 and IL6 genes was revealed for all three subgroups of fatigue. We also found CFS shared a series of polymorphisms in HLA, IFN-γ, 5-HT and NR3C1 genes with other disease-related fatigue, however these SNPs (excluding IFN-γ) were not found to be adequately investigated in CRF. Gaps in knowledge related to fatigue etiology and recommendations for future research are further discussed.

Fatigue is associated with inflammation in patients with head and neck cancer before and after intensity-modulated radiation therapy.

Patients with head and neck cancer (HNC) receiving intensity-modulated radiation therapy (IMRT) have particularly high rates of fatigue, and pre- and post-radiotherapy fatigue are prognostic factors for pathologic tumor responses and poor survival. Although inflammation has been proposed as one of the potential mechanisms of fatigue in cancer patients, findings have not been consistent, and there is a dearth of longitudinal studies. Accordingly, we conducted a prospective study in 46 HNC patients pre- and one-month post-IMRT. Fatigue was measured by the Multidimensional Fatigue Inventory (MFI)-20 at both time points along with the assessment of peripheral blood inflammatory markers including interleukin (IL)-6, soluble tumor necrosis factor receptor 2, and C-reactive protein (CRP) and gene expression. Generalized estimating equations were used to examine the association between inflammatory markers and fatigue. Gene enrichment analysis using MetaCore software was performed using up-regulated genes that were significantly associated with IMRT and fatigue. Significant associations between fatigue and IL-6 as well as CRP, which were independent of time, were observed. In addition the change in fatigue from pre- to post-IMRT was positively associated with the change in IL-6 and CRP. Analysis of up-regulated gene transcripts as a function of IMRT and fatigue revealed overrepresentation of transcripts related to the defense response and nuclear factor kappa B. In conclusion, our findings support the hypotheses that inflammation is associated with fatigue over time in HNC patients. Future studies on how inflammation contributes to fatigue as well as strategies targeting inflammation to reduce fatigue are warranted.

Preliminary patient-reported outcomes analysis of 3-dimensional radiation therapy versus intensity-modulated radiation therapy on the high-dose arm of the Radiation Therapy Oncology Group (RTOG) 0126 prostate cancer trial.

BACKGROUND: The authors analyzed a preliminary report of patient-reported outcomes (PROs) among men who received high-dose radiation therapy (RT) on Radiation Therapy Oncology Group study 0126 (a phase 3 dose-escalation trial) with either 3-dimensional conformal RT (3D-CRT) or intensity-modulated RT (IMRT). METHODS: Patients in the 3D-CRT group received 55.8 gray (Gy) to the prostate and proximal seminal vesicles and were allowed an optional field reduction; then, they received 23.4 Gy to the prostate only. Patients in the IMRT group received 79.2 Gy to the prostate and proximal seminal vesicles. PROs were assessed at 0 months (baseline), 3 months, 6 months, 12 months, and 24 months and included bladder and bowel function assessed with the Functional Alterations due to Changes in Elimination (FACE) instrument and erectile function assessed with the International Index of Erectile Function (IIEF). Analyses included the patients who completed all data at baseline and for at least 1 follow-up assessment, and the results were compared with an imputed data set. RESULTS: Of 763 patients who were randomized to the 79.2-Gy arm, 551 patients and 595 patients who responded to the FACE instrument and 505 patients and 577 patients who responded to the IIEF were included in the completed and imputed analyses, respectively. There were no significant differences between modalities for any of the FACE or IIEF subscale scores or total scores at any time point for either the completed data set or the imputed data set. CONCLUSIONS: Despite significant reductions in dose and volume to normal structures using IMRT, this robust analysis of 3D-CRT and IMRT demonstrated no difference in patient-reported bowel, bladder, or sexual functions for similar doses delivered to the prostate and proximal seminal vesicles with IMRT compared with 3D-CRT delivered either to the prostate and proximal seminal vesicles or to the prostate alone.

Risk factors for clinician-reported symptom clusters in patients with advanced head and neck cancer in a phase 3 randomized clinical trial: RTOG 0129.

BACKGROUND: Chemoradiotherapy has become the standard of care for head and neck squamous cell carcinoma; however, those patients often experience multiple treatment-related symptoms or symptom clusters. Two symptom clusters have been identified for this population. Little is known about the risk factors of these symptom clusters. METHODS: Subjects comprised 684 patients who were treated with concurrent chemoradiotherapy in a phase 3 randomized clinical trial. This trial compared standard fractionation radiotherapy to accelerated fractionation radiotherapy. Symptom clusters were evaluated at the end of the first and the second cycle of chemotherapy, and 3 months after the start of radiotherapy. Mixed-effect modeling was used to observe risk factors for symptom clusters. RESULTS: Race and education were independent predictors for the head and neck cluster, whereas sex and history of tobacco use were independent predictors for the gastrointestinal cluster. Primary cancer site was only significant for the head and neck cluster when other factors were not controlled: patients with oropharyngeal cancer had more severe symptoms in the head and neck clusters than did patients with laryngeal cancer. In addition, patients receiving accelerated fractionation radiotherapy experienced more symptoms of radiomucositis, pain, and nausea at 3 months after the start of radiotherapy than those receiving standard fractionation radiotherapy. CONCLUSIONS: Demographic characteristics were more predictive to symptom clusters, whereas clinical characteristics, such as cancer site and treatment arms, were more significant for individual symptoms. Knowing the risk factors will enhance the capability of clinicians to evaluate patients' risk of severe symptom clusters and to personalize management strategies.

Methods for examining cancer symptom clusters over time.

In this article, we address statistical techniques appropriate for examining longitudinal changes in cancer symptom clusters. When the cluster structure is not pre-determined, researchers may examine symptom clusters either at each time point or use composite scores to examine the symptom clusters across time points. When the cluster structures are pre-determined, the statistical techniques depend on the research assumptions or purposes. Multilevel modeling, generalized estimating equations, latent growth curve modeling, and multivariate repeated-measure analysis of variance are good choices for exploring whole cluster changes over time. Alternately, confirmatory factor analysis and path analysis are appropriate techniques for examining changes in symptom relationships within clusters over time. Each technique is described, with examples and strengths and weaknesses.

Development of a Technology-Based Dyadic Intervention for Underserved Colorectal Cancer Patients and Caregivers.

This study develops a technology-based dyadic intervention to enhance symptom management and health equity in underserved patients with colorectal cancer and their caregivers. Leveraging generative artificial intelligence, the intervention provides tailored educational contents to meet individual unmet needs.

Distinct Co-occurring Morning and Evening Fatigue Profiles in Patients With Gastrointestinal Cancers Receiving Chemotherapy.

BACKGROUND: Patients with gastrointestinal cancers experience diurnal variations in fatigue severity during chemotherapy that decrease their functional status and quality of life. OBJECTIVES: Study purposes were to identify subgroups of patients with distinct co-occurring morning and evening fatigue profiles and evaluate for differences among these subgroups in demographic, clinical, stress, and symptom characteristics. METHODS: Patients with gastrointestinal cancers (n = 405) completed questionnaires 6 times over 2 cycles of chemotherapy. The Lee Fatigue Scale was used to evaluate diurnal variations in fatigue severity. Latent profile analysis was used to identify subgroups of patients with distinct co-occurring morning AND evening fatigue profiles. Differences among the subgroups in demographic, clinical, stress, and symptom characteristics at enrollment were evaluated using parametric and nonparametric analyses. RESULTS: Two classes were identified, namely: low morning and moderate evening fatigue (ie, Low-Moderate, 60.0%) and high morning and high evening fatigue (ie, Both High, 40.0%). Compared with the Low-Moderate class, the Both High class was significantly younger, female, unmarried, and unemployed and lacked regular exercise. In addition, they had childcare responsibilities, lower annual income, lower functional status, higher comorbidity burden, and self-reported anemia and depression. Patients in the Both High class reported higher levels of anxiety, depressive symptoms, sleep disturbance, pain, and stress, and lower levels of energy and cognitive function. CONCLUSIONS: Findings provide new insights into the risk factors for higher levels of co-occurring morning and evening fatigue in patients with gastrointestinal cancers. IMPLICATIONS FOR PRACTICE: Clinicians can use this information to identify high-risk patients and develop personalized symptom management interventions.