Multi-omics analysis of the gut microbiome and metabolites associated with the psychoneurological symptom cluster in children with cancer receiving chemotherapy.

BACKGROUND: Children with cancer receiving chemotherapy commonly report a cluster of psychoneurological symptoms (PNS), including pain, fatigue, anxiety, depression, and cognitive dysfunction. The role of the gut microbiome and its functional metabolites in PNS is rarely studied among children with cancer. This study investigated the associations between the gut microbiome-metabolome pathways and PNS in children with cancer across chemotherapy as compared to healthy children. METHODS: A case-control study was conducted. Cancer cases were recruited from Children's Healthcare of Atlanta and healthy controls were recruited via flyers. Participants reported PNS using the Pediatric Patient-Reported Outcomes Measurement Information System. Data for cases were collected pre-cycle two chemotherapy (T0) and post-chemotherapy (T1), whereas data for healthy controls were collected once. Gut microbiome and its metabolites were measured using fecal specimens. Gut microbiome profiling was performed using 16S rRNA V4 sequencing, and metabolome was performed using an untargeted liquid chromatography-mass spectrometry approach. A multi-omics network integration program analyzed microbiome-metabolome pathways of PNS. RESULTS: Cases (n = 21) and controls (n = 14) had mean ages of 13.2 and 13.1 years. For cases at T0, PNS were significantly associated with microbial genera (e.g., Ruminococcus, Megasphaera, and Prevotella), which were linked with carnitine shuttle (p = 0.0003), fatty acid metabolism (p = 0.001) and activation (p = 0.001), and tryptophan metabolism (p = 0.008). Megasphaera, clustered with aspartate and asparagine metabolism (p = 0.034), carnitine shuttle (p = 0.002), and tryptophan (p = 0.019), was associated with PNS for cases at T1. Gut bacteria with potential probiotic functions, along with fatty acid metabolism, tryptophan, and carnitine shuttle, were more clustered in cancer cases than the control network and this linkage with PNS needs further studies. CONCLUSIONS: Using multi-omics approaches, this study indicated specific microbiome-metabolome pathways linked with PNS in children with cancer across chemotherapy. Due to limitations such as antibiotic use in cancer cases, these findings need to be further confirmed in a larger cohort.

Unsupervised Hierarchical Clustering of Head and Neck Cancer Patients by Pre-Treatment Plasma Metabolomics Creates Prognostic Metabolic Subtypes.

There is growing evidence that the metabolism is deeply intertwined with head and neck squamous cell carcinoma (HNSCC) progression and survival but little is known about circulating metabolite patterns and their clinical potential. We performed unsupervised hierarchical clustering of 209 HNSCC patients via pre-treatment plasma metabolomics to identify metabolic subtypes. We annotated the subtypes via pathway enrichment analysis and investigated their association with overall and progression-free survival. We stratified the survival analyses by smoking history. High-resolution metabolomics extracted 186 laboratory-confirmed metabolites. The optimal model created two patient clusters, of subtypes A and B, corresponding to 41% and 59% of the study population, respectively. Fatty acid biosynthesis, acetyl-CoA transport, arginine and proline, as well as the galactose metabolism pathways differentiated the subtypes. Relative to subtype B, subtype A patients experienced significantly worse overall and progression-free survival but only among ever-smokers. The estimated three-year overall survival was 61% for subtype A and 86% for subtype B; log-rank p = 0.001. The association with survival was independent of HPV status and other HNSCC risk factors (adjusted hazard ratio = 3.58, 95% CI: 1.46, 8.78). Our findings suggest that a non-invasive metabolomic biomarker would add crucial information to clinical risk stratification and raise translational research questions about testing such a biomarker in clinical trials.

Neighborhood Deprivation and Rurality Associated With Patient-Reported Outcomes and Survival in Men With Prostate Cancer in NRG Oncology RTOG 0415.

PURPOSE: Rurality and neighborhood deprivation can contribute to poor patient-reported outcomes, which have not been systematically evaluated in patients with specific cancers in national trials. Our objective was to examine the effect of rurality and neighborhood socioeconomic and environmental deprivation on patient-reported outcomes and survival in men with prostate cancer in NRG Oncology RTOG 0415. METHODS AND MATERIALS: Data from men with prostate cancer in trial NRG Oncology RTOG 0415 were analyzed; 1,092 men were randomized to receive conventional radiation therapy or hypofractionated radiation therapy. Rurality was categorized as urban or rural. Neighborhood deprivation was assessed using the area deprivation index and air pollution indicators (nitrogen dioxide and particulate matter with a diameter less than 2.5 micrometers) via patient ZIP codes. Expanded Prostate Cancer Index Composite measured cancer-specific quality of life. The Hopkins symptom checklist measured anxiety and depression. EuroQoL-5 Dimension assessed general health. RESULTS: We analyzed 751 patients in trial NRG Oncology RTOG 0415. At baseline, patients from the most deprived neighborhoods had worse bowel (P = .011), worse sexual (P = .042), and worse hormonal (P = .015) scores; patients from the most deprived areas had worse self-care (P = .04) and more pain (P = .047); and patients from rural areas had worse urinary (P = .03) and sexual (P = .003) scores versus patients from urban areas. Longitudinal analyses showed that the 25% most deprived areas (P = .004) and rural areas (P = .002) were associated with worse EuroQoL-5 Dimension visual analog scale score. Patients from urban areas (hazard ratio, 1.81; P = .033) and the 75% less-deprived neighborhoods (hazard ratio, 0.68; P = .053) showed relative decrease in risk of recurrence or death (disease-free survival). CONCLUSIONS: Patients with prostate cancer from the most deprived neighborhoods and rural areas had low quality of life at baseline, poor general health longitudinally, and worse disease-free survival. Interventions should screen populations from deprived neighborhoods and rural areas to improve patient access to supportive care services.

Chronic ethanol exposure induces mitochondrial dysfunction and alters gene expression and metabolism in human cardiac spheroids.

BACKGROUND: Chronic alcohol consumption in adults can induce various cardiac toxicities such as arrhythmias, cardiomyopathy, and heart failure. Prenatal alcohol exposure can increase the risk of developing congenital heart defects among offspring. Understanding the molecular mechanisms underlying long-term alcohol exposure-induced cardiotoxicity can help guide the development of therapeutic strategies. METHODS: Cardiomyocytes derived from human-induced pluripotent stem cells (hiPSC-CMs) were engineered into cardiac spheroids and treated with clinically relevant concentrations of ethanol (17 and 50 mM) for 5 weeks. The cells were then analyzed for changes in mitochondrial features, transcriptomic and metabolomic profiles, and integrated omics outcomes. RESULTS: Following chronic ethanol treatment of hiPSC-CMs, a decrease in mitochondrial membrane potential and respiration and changes in expression of mitochondrial function-related genes were observed. RNA-sequencing analysis revealed changes in various metabolic processes, heart development, response to hypoxia, and extracellular matrix-related activities. Metabolomic analysis revealed dysregulation of energy metabolism and increased metabolites associated with the upregulation of inflammation. Integrated omics analysis further identified functional subclusters and revealed potentially affected pathways associated with cardiac toxicities. CONCLUSION: Chronic ethanol treatment of hiPSC-CMs resulted in overall decreased mitochondrial function, increased glycolysis, disrupted fatty acid oxidation, and impaired cardiac structural development.

Outcomes Stratification of Head and Neck Cancer Using Pre- and Post-treatment DNA Methylation From Peripheral Blood.

PURPOSE: Established prognostic factors for head and neck squamous cell carcinoma (HNSCC) mostly consist of clinical and tumor features assessed before treatment. We report a novel application of DNA methylation in peripheral blood before and after radiation therapy to further improve outcomes stratification. METHODS AND MATERIALS: Peripheral blood samples from patients with nonmetastatic HNSCC were obtained for methylation analysis 1 week before and 1 month after radiation therapy. Patients were randomized 1:1 to a Discovery Cohort or a Validation Cohort. In the Discovery Cohort, associations between genome-wide methylation change (posttreatment minus pretreatment) and recurrence-free survival (RFS) as well as overall survival (OS) were evaluated using Cox regression. A methylation risk score (MRS) was then constructed from methylation levels at the top associated sites, filtered for residing within the regulatory regions of genes expressed in cells of hematopoietic lineage. The prognostic value of MRS was separately assessed in the Discovery and Validation Cohorts. RESULTS: Between December 2013 and September 2018, 115 patients participated in this study. Human papilloma virus negative status, oral cavity cancer, gastrostomy tube insertion, and higher neutrophil count before radiation therapy were associated with shorter RFS and OS (P < .05). Genes downstream of the methylation sites comprising MRS are HIF1A, SF1, LGALS9, and FUT5, involved in hypoxia response, blood cell maturation, and immune modulation. High MRS (in the top third) was significantly associated with worse RFS (hazard ratio [HR], 7.1; 95% confidence interval [CI], 1.4-35.5; P = .016) and OS (HR, 15.9; 95% CI, 1.6-153.6; P = .017) in the Discovery Cohort, independent of the aforementioned risk factors. These findings were replicated in the Validation Cohort, for which high MRS also independently predicted worse RFS (HR, 10.2; 95%, CI 2.4-43.4; P = .002) and OS (HR, 3.7; 95% CI, 1.3-10.4; P = .015). CONCLUSIONS: We successfully trained and validated a signature of DNA methylation in peripheral blood before and after radiation therapy that stratified outcomes among patients with HNSCC, implicating the potential for genomics-tailored surveillance and consolidation treatment.

Metabolites Associated With Fatigue and Physical Activity in Childhood Cancer.

Introduction: Children and adolescents with cancer report increased fatigue and decreased physical activity, introducing risk factors for chronic disease and suppressed quality of life. Research suggests an inverse relationship between fatigue and physical activity, but the biological explanation is not well understood. The purpose of this study was to 1) explore metabolites associated with fatigue or physical activity and 2) to identify any shared metabolomic elements. Methods: Children, ages 8-17 years, attending a pediatric oncology summer camp provided Patient-Reported Outcome Measurement System® (PROMIS) Pediatric Fatigue assessments, physical activity data (steps/day), and urine samples pre- and post-camp. Differences in PROMIS Pediatric Fatigue scores and average daily steps were calculated using paired t-tests. Liquid chromatography-tandem mass spectrometry was conducted using a targeted metabolomic approach. Results: Thirty-two enrolled children had complete data. Fatigue scores decreased (pre-camp 45.1; post-camp 42.1; p = 0.04) while steps-per-day increased (pre-camp 6699; post-camp 16,021; p < 0.001). Twenty-seven metabolites significantly differentiated (false discovery rate <0.20) between low, medium, or high physical activity, while 8 metabolites discriminated between high and low fatigue. Indole-3-lactic acid, a tryptophan metabolite, was significantly associated with both physical activity and fatigue. Conclusion: This study provides evidence of metabolome associations with fatigue and physical activity in children with cancer. Overlapping metabolomic elements provide evidence of biological inter-connectivity and suggest areas for future research. Given the known evidence regarding the benefits of physical activity, and the potential interaction with fatigue, nurses should routinely assess patient reports of these elements and provide patient/family education related to fatigue management and physical activity goals.

Metabolic Pathways Associated With Psychoneurological Symptoms in Children With Cancer Receiving Chemotherapy.

CONTEXT: Children with cancer undergoing chemotherapy experience a cluster of psychoneurological symptoms (PNS), including pain, fatigue, anxiety, and depressive symptoms. Metabolomics is promising to differentiate metabolic pathways associated with the PNS cluster. OBJECTIVES: Identify metabolic pathways associated with the PNS cluster in children with cancer before and after chemotherapy. METHODS: Pain, fatigue, anxiety, and depressive symptoms were assessed using the Pediatric PROMIS scales. T-scores were computed and divided dichotomously by a cutoff point of 50; the PNS cluster was a sum of the four symptoms ranging from 0 (all T-scores <50) to 4 (all T-scores ≥50). Serum metabolites were processed using liquid chromatography mass-spectrometry untargeted metabolomics approach. Linear regression models examined metabolites associated with the PNS cluster. Metabolic pathway enrichment analysis was performed. RESULTS: Participant demographics (n = 40) were 55% female, 60% white, 62.5% aged 13-19 years, and 62.5% diagnoses of Hodgkin's lymphoma and B-cell acute lymphocytic leukemia. Among 9276 unique metabolic features, 454 were associated with pain, 281 with fatigue, 596 with anxiety, 551 with depressive symptoms, and 300 with the PNS cluster across one chemotherapy cycle. Fatty acids pathways were associated with pain: de novo fatty acid biosynthesis (p < .001), fatty acid metabolism (p = .001), fatty acid activation (p = .004), and omega-3 fatty acid metabolism (p = .009). Tryptophan amino acid pathway was associated with fatigue (p < .001), anxiety (p = .015), and the PNS cluster (p = .037). Carnitine shuttle was associated with the PNS cluster (p = .015). CONCLUSION: Fatty acids and amino acids pathways were associated with PNS in children undergoing chemotherapy. These findings require further investigation in a larger sample.

Grady Health System's Mobile Integrated Health Program: A Statistical Analysis of Low-Acuity 911 Calls.

Grady's Mobile Integrated Health (MIH) program works to manage outpatient health concerns that otherwise burden EDs, improve quality of care, and connect patients to the appropriate level of care and resources. This prospective study collected data from 09/01/2019-03/31/2020 to analyze Grady's MIH response to low-acuity 911 calls compared to a traditional EMS (ACLS/BLS) response. A total of 2,759 EMS calls were reviewed. These calls comprised the four most common emergency medical dispatch codes for Grady's MIH response: i) "sick person other pain," ii) "diabetic alert behaving normally," iii) "back pain," and iv) "falls." Descriptive statistics and multivariable logistic regressions (MLR) were performed to compare disposition differences between MIH and traditional EMS services in whether calls were mitigated on-scene or transported. For MIH responses (n=300), 66.1% were mitigated on-scene. Comparatively, for traditional EMS responses (n=263), 11.4% were mitigated on-scene. The MLR model found the odds that a patient was mitigated on-scene for an MIH response were 24 times that for an ACLS/BLS response (OR=24.19, p<0.001) after adjusting for patient sex, ethnicity, age, blood pressure, heart rate, pain response, glucose, time of day, and EMD code. The magnitude of the odds ratio significantly differed based on the dispatch code. The results of this study indicate that utilizing Grady's current MIH model is an effective way to mitigate low-acuity 911 concerns and decrease unnecessary ED utilization, while potentially reducing hospital readmissions and healthcare costs.

Plasma Metabolic Phenotypes of HPV-Associated versus Smoking-Associated Head and Neck Cancer and Patient Survival.

BACKGROUND: Metabolic differences between human papillomavirus (HPV)-associated head and neck squamous cell carcinoma (HNSCC) and smoking-associated HNSCC may partially explain differences in prognosis. The former relies on mitochondrial oxidative phosphorylation (OXPHOS) while the latter relies on glycolysis. These differences have not been studied in blood. METHODS: We extracted metabolites using untargeted liquid chromatography high-resolution mass spectrometry from pretreatment plasma in a cohort of 55 HPV-associated and 82 smoking-associated HNSCC subjects. Metabolic pathway enrichment analysis of differentially expressed metabolites produced pathway-based signatures. Significant pathways (P < 0.05) were reduced via principal component analysis and assessed with overall survival via Cox models. We classified each subject as glycolytic or OXPHOS phenotype and assessed it with survival. RESULTS: Of 2,410 analyzed metabolites, 191 were differentially expressed. Relative to smoking-associated HNSCC, bile acid biosynthesis (P < 0.0001) and octadecatrienoic acid beta-oxidation (P = 0.01), were upregulated in HPV-associated HNSCC, while galactose metabolism (P = 0.001) and vitamin B6 metabolism (P = 0.01) were downregulated; the first two suggest an OXPHOS phenotype while the latter two suggest glycolytic. First principal components of bile acid biosynthesis [HR = 0.52 per SD; 95% confidence interval (CI), 0.38-0.72; P < 0.001] and octadecatrienoic acid beta-oxidation (HR = 0.54 per SD; 95% CI, 0.38-0.78; P < 0.001) were significantly associated with overall survival independent of HPV and smoking. The glycolytic versus OXPHOS phenotype was also independently associated with survival (HR = 3.17; 95% CI, 1.07-9.35; P = 0.04). CONCLUSIONS: Plasma metabolites related to glycolysis and mitochondrial OXPHOS may be biomarkers of HNSCC patient prognosis independent of HPV or smoking. Future investigations should determine whether they predict treatment efficacy. IMPACT: Blood metabolomics may be a useful marker to aid HNSCC patient prognosis.

Association of Epigenetic Age Acceleration With Risk Factors, Survival, and Quality of Life in Patients With Head and Neck Cancer.

PURPOSE: Epigenetic age acceleration (EAA) is robustly linked with mortality and morbidity. This study examined risk factors of EAA and its association with overall survival (OS), progression-free survival (PFS), and quality of life (QOL) in patients with head and neck cancer (HNC) receiving radiation therapy. METHODS AND MATERIALS: Patients without distant metastasis were enrolled and followed before and at the end of radiation therapy and at 6 and 12 months after radiation therapy. EAA was calculated with DNAmPhenoAge at all 4 time points. Risk factors included demographic characteristics, lifestyle, clinical characteristics, treatment-related symptoms, and blood biomarkers. Survival data were collected until August 2020, and QOL was measured using Functional Assessment of Cancer Therapy-HNC. RESULTS: Increased comorbidity, symptoms unrelated to human papilloma virus, and more severe treatment-related symptoms were associated with higher EAA (P = .03 to P < .001). A nonlinear association (quadratic) between body mass index (BMI) and EAA was observed: decreased BMI (<35 kg/m2; P = .04) and increased BMI (≥35 kg/m2; P = .01) were linked to higher EAA. Increased EAA (per year) was associated with worse OS (hazard ratio [HR], 1.11 [95% confidence interval {CI}, 1.03-1.18; P = .004]; HR, 1.10 [95% CI, 1.01-1.19; P = .02] for EAA at 6 and 12 months after treatment, respectively) and PFS (HR, 1.10 [95% CI, 1.02-1.19; P = .02]; HR, 1.14 [95% CI, 1.06-1.23; P < .001]; and HR, 1.08 [95% CI, 1.02-1.14; P = .01]) for EAA before, immediately after, and 6 months after radiation therapy, respectively) and QOL over time (ß = -0.61; P = .001). An average of 3.25 to 3.33 years of age acceleration across time, which was responsible for 33% to 44% higher HRs of OS and PFS, was observed in those who died or developed recurrence compared with those who did not (all P < .001). CONCLUSIONS: Compared with demographic and lifestyle factors, clinical characteristics were more likely to contribute to faster biological aging in patients with HNC. Acceleration in epigenetic age resulted in more aggressive adverse events, including OS and PFS. EAA could be considered as a marker for cancer outcomes, and decelerating aging could improve survival and QOL.

Multiomics Analysis of Structural Magnetic Resonance Imaging of the Brain and Cerebrospinal Fluid Metabolomics in Cognitively Normal and Impaired Adults.

INTRODUCTION: Integrating brain imaging with large scale omics data may identify novel mechanisms of mild cognitive impairment (MCI) and early Alzheimer's disease (AD). We integrated and analyzed brain magnetic resonance imaging (MRI) with cerebrospinal fluid (CSF) metabolomics to elucidate metabolic mechanisms and create a "metabolic map" of the brain in prodromal AD. METHODS: In 145 subjects (85 cognitively normal controls and 60 with MCI), we derived voxel-wise gray matter volume via whole-brain structural MRI and conducted high-resolution untargeted metabolomics on CSF. Using a data-driven approach consisting of partial least squares discriminant analysis, a multiomics network clustering algorithm, and metabolic pathway analysis, we described dysregulated metabolic pathways in CSF mapped to brain regions associated with MCI in our cohort. RESULTS: The multiomics network algorithm clustered metabolites with contiguous imaging voxels into seven distinct communities corresponding to the following brain regions: hippocampus/parahippocampal gyrus (three distinct clusters), thalamus, posterior thalamus, parietal cortex, and occipital lobe. Metabolic pathway analysis indicated dysregulated metabolic activity in the urea cycle, and many amino acids (arginine, histidine, lysine, glycine, tryptophan, methionine, valine, glutamate, beta-alanine, and purine) was significantly associated with those regions (P < 0.05). CONCLUSION: By integrating CSF metabolomics data with structural MRI data, we linked specific AD-susceptible brain regions to disrupted metabolic pathways involving nitrogen excretion and amino acid metabolism critical for cognitive function. Our findings and analytical approach may extend drug and biomarker research toward more multiomics approaches.

Lipidome signatures of metastasis in a transgenic mouse model of sonic hedgehog medulloblastoma.

Medulloblastoma (MB), the most common malignant pediatric brain tumor, has high propensity to metastasize. Currently, the standard treatment for MB patients includes radiation therapy administered to the entire brain and spine for the purpose of treating or preventing against metastasis. Due to this aggressive treatment, the majority of long-term survivors will be left with permanent and debilitating neurocognitive impairment, for the 30-40% patients that fail to respond to treatment, all will relapse with terminal metastatic disease. An understanding of the underlying biology that drives MB metastasis is lacking, and is critically needed in order to develop targeted therapeutics for its prevention. To examine the metastatic biology of sonic hedgehog (SHH) MB, the human MB subgroup with the worst clinical outcome in children, we first generated a robust SmoA1-Math-GFP mouse model that reliably reproduces human SHH MB whereby metastases can be visualized under fluorescence microscopy. Lipidome alterations associated with metastasis were then investigated by applying ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) under positive ionization mode to primary tumor samples collected from mice without (n = 18) and with (n = 7) metastasis. Thirty-four discriminant lipids associated with SHH MB metastasis were successfully annotated, including ceramides (Cers), sphingomyelins (SMs), triacylglycerols (TGs), diacylglycerols (DGs), phosphatidylcholines (PCs), and phosphatidic acids (PAs). This study provides deeper insights into dysregulations of lipid metabolism associated with SHH MB metastatic progression, and thus serves as a guide toward novel targeted therapies.

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.

Endogenous estradiol and inflammation biomarkers: potential interacting mechanisms of obesity-related disease.

PURPOSE: Disentangling the effects of endogenous estrogens and inflammation on obesity-related diseases requires a clearer understanding of how the two biological mechanisms relate to each other. METHODS: We studied 155 healthy postmenopausal women not taking menopausal hormone therapy enrolled in the Prostate Lung Colorectal and Ovarian (PLCO) screening cancer trial. From a baseline blood draw, we measured endogenous estradiol and 69 inflammation biomarkers: cytokines, chemokines, adipokines, angiogenic factors, growth factors, acute phase proteins, and soluble receptors. We evaluated the estradiol-inflammation relationship by assessing associations across different models (linear, ordinal logistic, and binary logistic) using a variety of estradiol classifications. We additionally investigated the estradiol-inflammation relationship stratified by baseline obesity status (BMI < 30 stratum and BMI > 30 stratum). RESULTS: Associations of estradiol with 7 inflammation biomarkers met p < 0.05 statistical significance in linear and ordinal models: C-reactive protein (CRP), adiponectin, chemokine (C-X-C motif) ligand-6, thymus activation-regulated chemokine, eosinophil chemotactic protein, plasminogen activator inhibitor-1, and serum amyloid A. The positive association between estradiol and CRP was robust to model changes. Each standard deviation increase in endogenous estradiol doubled a woman's odds of having CRP levels higher than the study median (odds ratio 2.29; 95% confidence interval 1.28, 4.09). Estradiol was consistently inversely associated with adiponectin. Other estradiol-inflammation biomarker associations were not robust to model changes. CONCLUSIONS: Endogenous estradiol appears to be associated with CRP and adiponectin; the evidence is limited for other inflammation biomarkers.

Changing functional status within 6 months posttreatment is prognostic of overall survival in patients with head and neck cancer: NRG Oncology Study.

BACKGROUND: Is posttreatment functional status prognostic of overall survival in patients with head and neck cancer (HNC). METHODS: In an HNC clinical trial, 495 patients had two posttreatment functional assessments measuring diet, public eating, and speech within 6 months. Patients were grouped by impairment (highly, moderately, modestly, or not impaired) and determined if they improved, declined, or did not change from the first assessment to the second. Multivariable Cox models estimated overall mortality. RESULTS: Across all three scales, the change in posttreatment patient function strongly predicted overall survival. In diet, patients who declined to highly impaired had three times the mortality of patients who were not impaired at both assessments (hazard ratio [HR] = 3.60; 95% confidence interval, 2.02-6.42). For patients improving from highly impaired, mortality was statistically similar to patients with no impairment (HR = 1.38; 95% CI, 0.82-2.31). CONCLUSIONS: Posttreatment functional status is a strong prognostic marker of survival in patients with HNC.

Chronic obstructive pulmonary disease among lung cancer-free smokers: The importance of healthy controls.

BACKGROUND: The prevalence of chronic obstructive pulmonary disease (COPD) in smokers enrolled as "healthy" controls in studies is 10-50%. The COPD status of ideal smoker populations for lung cancer case-control studies should be checked via spirometry; however, this is often not feasible, because no medical indications exist for asymptomatic smokers to undergo spirometry prior to study enrollment. Therefore, there is an unmet need for robust, cost effective assays for identifying undiagnosed lung disease among asymptomatic smokers. Such assays would help excluding unhealthy smokers from lung cancer case-control studies. METHODS: We used the cytokinesis-blocked micronucleus (CBMN) assay (a measure of genetic instability) to identify undiagnosed lung disease among asymptomatic smokers. We used a convenience population from an on-going lung cancer case-control study including smokers with lung cancer (n = 454), smoker controls (n = 797), and a self-reported COPD (n = 200) contingent within the smoker controls. RESULTS: Significant differences for all CBMN endpoints were observed when comparing lung cancer to All controls (which included COPD) and Healthy controls (with no COPD). The risk ratio (RR) was increased in the COPD group vs. Healthy controls for nuclear buds (RR 1.28, 95% confidence interval 1.01-1.62), and marginally increased for micronuclei (RR 1.06, 0.98-1.89) and nucleoplasmic bridges (RR 1.07, 0.97-1.15). CONCLUSION: These findings highlight the importance of using truly healthy controls in studies geared toward assessment of lung cancer risk. Using genetic instability biomarkers would facilitate the identification of smokers susceptible to tobacco smoke carcinogens and therefore predisposed to either disease.

A Novel Application of Structural Equation Modeling Estimates the Association between Oxidative Stress and Colorectal Adenoma.

In vitro evidence implicates oxidative stress in many adverse health conditions, including colorectal neoplasia. In human studies, however, oxidative stress is measured by imperfect biomarkers, which are inconsistently associated with health outcomes. Structural equation modeling (SEM) offers one possible solution by modeling a latent (unobserved) construct from multiple biomarkers. Our goal was to investigate the association of a latent oxidative stress variable with colorectal adenoma. Using SEM, we analyzed pooled data from two cross-sectional studies of colorectal adenoma (n = 526) that measured five plasma biomarkers of oxidative stress and inflammation that comprised the latent oxidative stress variable: F2-isoprostanes (FIP), fluorescent oxidation products (FOP), mitochondrial DNA (MtDNA) copy number, γ-tocopherol (Gtoc), and C-reactive protein (CRP). Higher levels of oxidative stress were associated with colorectal adenoma [OR = 3.23 per SD increase in oxidative stress; 95% confidence interval (CI), 1.28-8.18]. The latent variable estimate was considerably stronger than the associations of adenoma with the individual biomarkers, which were modest and mostly nonsignificant. Risk factors were associated with adenoma via the oxidative stress pathway, particularly overweight and obesity with an OR = 1.50; 95% CI, 1.10-2.81; and OR = 2.95; 95% CI, 1.28-12.45, respectively. Oxidative stress may be positively associated with colorectal adenoma, and important risk factors may act through this mechanism, but the cross-sectional design of the current study precludes observing the directionality of associations. The presence of an adenoma could affect levels of the circulating biomarkers; thus, we should be cautious of strong conclusions until the findings are replicated in a follow-up study. Cancer Prev Res; 11(1); 52-58. ©2017 AACR.

Smoking and subsequent human papillomavirus infection: a mediation analysis.

PURPOSE: Smoking is an established risk factor for a human papillomavirus (HPV) infection advancing to cervical precancer and cancer, but its role earlier in the natural history is less clear. Smoking is inversely associated with possessing HPV antibodies from a past infection suggesting that smoking may influence acquiring subsequent infections. METHODS: In a cohort of 1976 U.S. women, we evaluate whether reduced antibodies to HPV-16 is a mechanism for smoking's role on acquiring a subsequent HPV-16 infection, through the analytic technique of causal mediation analysis. We posit a causal model and estimate two counterfactually defined effects: a smoking impaired antibody-mediated indirect effect and a nonmediated direct effect representing all other potential mechanisms of smoking. RESULTS: Compared to never smokers, current smokers had increased odds of HPV-16 infection by the antibody-mediated indirect effect (odds ratio [OR] = 1.29; 95% confidence interval [CI]: 1.11, 1.73); the estimated direct effect was very imprecise (OR = 0.57; 95% CI, 0.26-1.13). We observed a stronger estimated indirect effect among women who smoked at least half a pack of cigarettes daily (OR = 1.61, 95% CI, 1.27-2.15) than among women who smoked less than that threshold (OR = 1.09; 95% CI, 0.94-1.44). CONCLUSIONS: This is the first study to directly test the mechanism underlying smoking as an HPV cofactor. The results support current smoking as a risk factor earlier in the natural history of HPV and are consistent with the hypothesis that smoking increases the risk of a subsequent infection by reducing immunity.

Using multiple biomarkers and determinants to obtain a better measurement of oxidative stress: a latent variable structural equation model approach.

PURPOSE: Since oxidative stress involves a variety of cellular changes, no single biomarker can serve as a complete measure of this complex biological process. The analytic technique of structural equation modeling (SEM) provides a possible solution to this problem by modelling a latent (unobserved) variable constructed from the covariance of multiple biomarkers. METHODS: Using three pooled datasets, we modelled a latent oxidative stress variable from five biomarkers related to oxidative stress: F2-isoprostanes (FIP), fluorescent oxidation products, mitochondrial DNA copy number, γ-tocopherol (Gtoc) and C-reactive protein (CRP, an inflammation marker closely linked to oxidative stress). We validated the latent variable by assessing its relation to pro- and anti-oxidant exposures. RESULTS: FIP, Gtoc and CRP characterized the latent oxidative stress variable. Obesity, smoking, aspirin use and ß-carotene were statistically significantly associated with oxidative stress in the theorized directions; the same exposures were weakly and inconsistently associated with the individual biomarkers. CONCLUSIONS: Our results suggest that using SEM with latent variables decreases the biomarker-specific variability, and may produce a better measure of oxidative stress than do single variables. This methodology can be applied to similar areas of research in which a single biomarker is not sufficient to fully describe a complex biological phenomenon.

Prediagnostic circulating inflammation markers and endometrial cancer risk in the prostate, lung, colorectal and ovarian cancer (PLCO) screening trial.

Inflammation is proposed to increase risk of developing endometrial cancer, but few prospective epidemiologic studies have investigated the relationship between circulating inflammation markers and endometrial cancer risk. In a nested case-control study within the PLCO Screening Trial we measured serum levels of 64 inflammation-related biomarkers in 284 incident endometrial cancer cases and 284 matched controls. Using multivariable logistic regression inflammation markers were evaluated individually and combined into a cross-validated inflammation score. Of 64 markers, 22 were associated with endometrial cancer risk at p < 0.05 and 17 of 22 markers remained associated after multiple testing corrections. After adjusting for BMI and estradiol, SERPINE1 [quartile(Q)4 vs. Q1 odds ratio (OR) (95% confidence interval (CI)), p trend = 2.43 (0.94-6.29), 0.03] and VEGFA [2.56 (1.52-4.30), 0.0002] were positively associated with endometrial cancer risk, while CCL3 [0.46 (0.27-0.77), 0.01], IL13 [0.55 (0.33-0.93), 0.01], IL21 [0.52 (0.31-0.87), 0.01], IL1B [0.51 (0.30-0.86), 0.01] and IL23 [0.60 (0.35-1.03), 0.02] were inversely associated with risk. We observed large differences in ORs across BMI-inflammation score categories. Endometrial cancer risk was most pronounced among obese women with the highest inflammation score tertile (T) [10.25 (3.56-29.55) vs. normal BMI/T1]. Several inflammation markers were prospectively associated with endometrial cancer, including adipokines, pro- and anti-inflammatory cytokines, angiogenic factors and acute phase proteins. Inverse associations with anti-inflammatory markers (IL13, IL21), other inflammation markers/mediators (CCL3, IL1B, IL23), and a robust positive association between VEGFA and endometrial cancer risk were independent of BMI and estradiol, suggesting that these factors may influence risk through other mechanisms.