Descriptive analysis to assess seasonal patterns of COVID-19 and influenza in low-income and middle-income countries in Asia, the Middle East and Latin America.

OBJECTIVES: Understanding disease seasonality can help predict the occurrence of outbreaks and inform public health planning. Respiratory diseases typically follow seasonal patterns; however, knowledge regarding the seasonality of COVID-19 and its impact on the seasonality of influenza remains limited. The objective of this study was to provide more evidence to understand the circulation of SARS-CoV-2, the virus responsible for COVID-19, in an endemic scenario to guide potential preventive strategies. DESIGN: In this study, a descriptive analysis was undertaken to describe seasonality trends and/or overlap between COVID-19 and influenza in 12 low-income and middle-income countries using Our World in Data and FluMart data sources. Plots of COVID-19 and influenza cases were analysed. SETTING: Singapore, Thailand, Malaysia, the Philippines, Argentina, Brazil, Mexico, South Africa, Morocco, Bahrain, Qatar and Saudi Arabia. OUTCOME MEASURES: COVID-19 cases and influenza cases. RESULTS: No seasonal patterns of SARS-CoV-2 or SARS-CoV-2/influenza cocirculation were observed in most countries, even when considering the avian influenza pandemic period. CONCLUSIONS: These results can inform public health strategies. The lack of observed seasonal behaviour highlights the importance of maintaining year-round vaccination rather than implementing seasonal campaigns. Further research investigating the influence of climate conditions, social behaviour and year-round preventive measures could be fundamental for shaping appropriate policies related to COVID-19 and respiratory viral disease control in low-income and middle-income countries as COVID-19 variant data and epidemiologic patterns accrue over time.

Cost-Effectiveness of Lisocabtagene Maraleucel Versus Axicabtagene Ciloleucel and Tisagenlecleucel in the Third-Line or Later Treatment Setting for Relapsed or Refractory Large B-cell Lymphoma in the United States.

INTRODUCTION: The objective of this study was to evaluate the cost-effectiveness of lisocabtagene maraleucel (liso-cel) versus other available chimeric antigen receptor T-cell therapies, including axicabtagene ciloleucel (axi-cel) and tisagenlecleucel (tisa-cel), in patients who had received at least two prior therapies from a United States (US) commercial third-party payer perspective. METHODS: To capture this heterogeneity in survival outcomes, we used mixture cure models to extrapolate progression-free survival (PFS) and overall survival (OS). Patient-level data from TRANSCEND NHL 001 for liso-cel and reconstructed patient-level data from ZUMA-1 for axi-cel, JULIET for tisa-cel, and SCHOLAR-1 for salvage chemotherapy, derived using the Guyot method, were used for OS and PFS. The model included adverse events associated with liso-cel, axi-cel, and tisa-cel. RESULTS: Liso-cel was less costly (incremental cost of - $74,980) and marginally more effective (0.002 incremental quality-adjusted life-years [QALY]) than axi-cel and had an incremental cost of $67,925 and 2.02 incremental QALYs over tisa-cel in the base case. Results remained consistent in sensitivity analyses, with the liso-cel OS cure fraction being the main driver of cost-effectiveness compared with both axi-cel and tisa-cel. CONCLUSION: This analysis estimated that liso-cel is cost-effective compared with tisa-cel and axi-cel from a commercial US payer perspective.

Impact of Lenalidomide Treatment on Overall Survival in Patients With Lower-Risk, Transfusion-Dependent Myelodysplastic Syndromes.

BACKGROUND: For patients with lower-risk (LR) myelodysplastic syndromes (MDS), overall survival (OS) is rarely a primary clinical trial endpoint. Treatments such as lenalidomide can reduce red blood cell (RBC) transfusion burden (TB) and serum ferritin, but the long-term impact on OS remains undetermined. PATIENTS AND METHODS: Data from 3 trials evaluating lenalidomide in patients with LR-MDS (the phase 2 MDS-003 and phase 3 MDS-004 trials in del[5q]; the phase 3 trial MDS-005 in non-del[5q] patients) were pooled. Predictors of OS were assessed by multivariate analysis using time-dependent models for TB and RBC transfusion independence (RBC-TI), and a landmark analysis of RBC-TI at 17 weeks. Separate analyses using MDS-004 and MDS-005 data determined the relationship between OS and serum ferritin. RESULTS: Median follow-up for MDS-003, MDS-004, and MDS-005 was 3.2, 3.0, and 1.7 years, respectively. In multivariate analyses, transfusion of ≥6 RBC units over 8 weeks was a significant predictor of shorter OS vs. 0 units in the time-dependent TB model (hazard ratio [HR] 4.65; 95% confidence interval [CI] 3.32-6.52; P < .0001). RBC-TI achievement was associated with prolonged OS in the time-dependent (HR 0.48; 95% CI 0.37-0.62; P < .0001) and landmark model (HR 0.57; 95% CI 0.44-0.75; P < .0001). Increased serum ferritin was associated with shorter OS (P < .0001). CONCLUSION: This analysis of prospective trial data in patients with LR-MDS confirms lenalidomide may improve OS by reducing TB and serum ferritin. OS should be considered as an endpoint in future lower risk MDS clinical trials.

Modeling long-term health and economic implications of new treatment strategies for Parkinson's disease: an individual patient simulation study.

Background: Simulation modeling facilitates the estimation of long-term health and economic outcomes to inform healthcare decision-making. Objective: To develop a framework to simulate progression of Parkinson's disease (PD), capturing motor and non-motor symptoms, clinical outcomes, and associated costs over a lifetime. Methods: A patient-level simulation was implemented accounting for individual variability and interrelated changes in common disease progression scales. Predictive equations were developed to model progression for newly diagnosed patients and were combined with additional sources to inform long-term progression. Analyses compared a hypothetical disease-modifying therapy (DMT) with a standard of care to explore the drivers of cost-effectiveness. Results: The equations captured the dependence between the various measures, leveraging prior values and rates of change to obtain realistic predictions. The simulation was built upon several interrelated equations, validated by comparison with observed values for the Movement Disorder Society Unified PD Rating Scale (MDS-UPDRS) and UPDRS subscales over time. In a case study, disease progression rates, patient utilities, and direct non-medical costs were drivers of cost-effectiveness. Conclusions: The developed equations supported the simulation of early PD. This model can support conducting simulations to inform internal decision-making, trial design, and strategic planning early in the development of new DMTs entering clinical trials.

Correction to: Factors Associated with Mood Disorder Diagnosis Among a Population Based Cohort of Men and Women Living With and Without HIV in British Columbia Between 1998 and 2012.

Using data from the Comparison of Outcomes and Service Utilization Trends (COAST) study we examined factors associated with mood disorder diagnosis (MDD) among people living with HIV (PLHIV) and HIV-negative individuals in British Columbia, Canada. MDD cases were identified between 1998 and 2012 using International Classification of Disease 9 and 10 codes. A total of 491,796 individuals were included and 1552 (23.7%) and 60,097 (12.4%) cases of MDD were identified among the HIV-positive and HIV-negative populations, respectively. Results showed HIV status was associated with greater odds of MDD among men and lower odds among women. Among PLHIV, MDD was significantly associated with: identifying as gay, bisexual or other men who have sex with men compared to heterosexuals; higher viral load; history of injection drug use; and concurrent anxiety, dysthymia, and substance use disorders. Findings highlight the need for comprehensive and holistic HIV and mental health care.

Risk of myocardial infarction among people living with HIV: an updated systematic review and meta-analysis.

OBJECTIVE: Cardiovascular disease (CVD) is one of the leading non-AIDS-defining causes of death among HIV-positive (HIV+) individuals. However, the evidence surrounding specific components of CVD risk remains inconclusive. We conducted a systematic review and meta-analysis to synthesise the available evidence and establish the risk of myocardial infarction (MI) among HIV+ compared with uninfected individuals. We also examined MI risk within subgroups of HIV+ individuals according to exposure to combination antiretroviral therapy (ART), ART class/regimen, CD4 cell count and plasma viral load (pVL) levels. DESIGN: Systematic review and meta-analysis. DATA SOURCES: We searched MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials and Cochrane Database of Systematic Reviews until 18 July 2018. Furthermore, we scanned recent HIV conference abstracts (CROI, IAS/AIDS) and bibliographies of relevant articles. ELIGIBILITY CRITERIA: Original studies published after December 1999 and reporting comparative data relating to the rate of MI among HIV+ individuals were included. DATA EXTRACTION AND SYNTHESIS: Two reviewers working in duplicate, independently extracted data. Data were pooled using random-effects meta-analysis and reported as relative risk (RR) with 95% CI. RESULTS: Thirty-two of the 8130 identified records were included in the review. The pooled RR suggests that HIV+ individuals have a greater risk of MI compared with uninfected individuals (RR: 1.73; 95% CI 1.44 to 2.08). Depending on risk stratification, there was moderate variation according to ART uptake (RR, ART-treated=1.80; 95% CI 1.17 to 2.77; ART-untreated HIV+ individuals: 1.25; 95% CI 0.93 to 1.67, both relative to uninfected individuals). We found low CD4 count, high pVL and certain ART characteristics including cumulative ART exposure, any/cumulative use of protease inhibitors as a class, and exposure to specific ART drugs (eg, abacavir) to be importantly associated with a greater MI risk. CONCLUSIONS: Our results indicate that HIV infection, low CD4, high pVL, cumulative ART use in general including certain exposure to specific ART class/regimen are associated with increased risk of MI. The association with cumulative ART may be an index of the duration of HIV infection with its attendant inflammation, and not entirely the effect of cumulative exposure to ART per se. PROSPERO REGISTRATION NUMBER: CRD42014012977.

Medical resource utilization of abiraterone acetate plus prednisone added to androgen deprivation therapy in metastatic castration-naive prostate cancer: Results from LATITUDE.

BACKGROUND: Abiraterone acetate plus prednisone (AA+P), when added to androgen deprivation therapy (ADT), demonstrated significant improvements in overall survival and disease progression over dual placebos added to ADT in the LATITUDE clinical trial (NCT01715285). The objective of this study was to assess event-driven medical resource utilization (MRU) of ADT plus AA+P (ADT+AA+P) versus ADT plus dual placebos (ADT+placebos) in LATITUDE. METHODS: Event-driven MRU data from LATITUDE while patients were on treatment were used for analyses. Types of MRU included overnight hospitalizations and length of stay (LOS), emergency room (ER) visits, radiotherapy, surgery, imaging, and specialist and general practitioner (GP) visits. Rates by treatment (per 100 person-years) and rate ratios comparing ADT+AA+P with ADT+placebos were estimated with zero-inflated Poisson regression. The difference in the average hospital LOS between arms was assessed with repeated measures regression analyses. Reasons for hospitalization were explored. Sensitivity analyses were conducted to assess the robustness of the results. RESULTS: A total of 1199 patients were enrolled in LATITUDE. Significantly lower rates of hospitalization (a 24% reduction), imaging (a 36% reduction), and radiotherapy (a 50% reduction) were observed with ADT+AA+P versus ADT+placebos. There was a nonsignificant trend of lower rates of specialist visits and surgery. The rates of ER and GP visits and the average LOS per hospitalization episode were similar across arms. The most common hospitalization reasons were genitourinary, musculoskeletal, and respiratory tract symptoms/disorders. The results remained consistent in a sensitivity analysis. CONCLUSIONS: Adding AA+P to ADT does not increase MRU and leads to lower rates of hospitalization, imaging, and radiotherapy. This likely reflects the more favorable clinical outcomes with ADT+AA+P therapy.

Mortality among people living with HIV/AIDS with non-small-cell lung cancer in the modern HAART Era.

People living with HIV (PLWHA) with adequate access to modern combination antiretroviral therapy (cART) are living longer and experiencing reduced AIDS-related morbidity and mortality. However, increases in non-AIDS related conditions, such as certain cancers, have accompanied these therapeutic advances over time. As such, our study objective was to determine the impact of HIV on all-cause and lung cancer-specific mortality amongst PLWHA with diagnoses of non-small-cell lung cancer (NSCLC) and HIV-negative individuals with NSCLC. This analysis was inclusive of PLWHA on and off cART over the age of 19 years and a 10% comparison sample from the BC population ≥19 years, over a 13-year period (2000-2013). Kaplan-Meier estimates, Cox PH models, and competing risk analysis for all-cause and cause-specific mortality (respectively) compared PLWHA to HIV-negative individuals, controlling for age, gender, cancer stage, co-morbidities; and nadir CD4 count, viral load, and injection drug use for a HIV-positive specific analysis. We identified 71 PLWHA and 2463 HIV-negative individuals diagnosed with NSCLC between 2000 and 2013. PLWHA with NSCLC were diagnosed at a significantly younger age than HIV-negative individuals (median age 57 vs 71 years, p < 0.01). We found no significant difference in lung cancer-specific mortality. However, in multivariate analysis, HIV was associated with greater all-cause mortality (adjusted hazard ratio [aHR]:1.44; 95% confidence interval [CI]: 1.08-1.90), with median survival of 4 months for PLWHA, and 10 months for HIV-negative. Higher nadir CD4 count was protective against mortality (aHR: 0.33, 95% CI: 0.17-0.64) amongst PLWHA in multivariate analysis. Our analysis suggests that PLWHA in the modern cART era experience similar lung cancer survival outcomes compared to the general BC population with NSCLC. However, we also observed significantly higher all-cause mortality among PLWHA with NSCLC, which may warrant further inquiry into the role of HIV in exacerbating mortality among PLWHA with comorbidities and cancer.

Factors Associated with Mood Disorder Diagnosis Among a Population Based Cohort of Men and Women Living With and Without HIV in British Columbia Between 1998 and 2012.

Using data from the Comparison of Outcomes and Service Utilization Trends (COAST) study we examined factors associated with mood disorder diagnosis (MDD) among people living with HIV (PLHIV) and HIV-negative individuals in British Columbia, Canada. MDD cases were identified between 1998 and 2012 using International Classification of Disease 9 and 10 codes. A total of 491,796 individuals were included and 1552 (23.7%) and 60,097 (12.4%) cases of MDD were identified among the HIV-positive and HIV-negative populations, respectively. Results showed HIV status was associated with greater odds of MDD among men and lower odds among women. Among PLHIV, MDD was significantly associated with: identifying as gay, bisexual or other men who have sex with men compared to heterosexuals; higher viral load; history of injection drug use; and concurrent anxiety, dysthymia, and substance use disorders. Findings highlight the need for comprehensive and holistic HIV and mental health care.

Sociodemographic correlates of HIV drug resistance and access to drug resistance testing in British Columbia, Canada.

Sociodemographic correlates of engagement in human immunodeficiency virus (HIV) care are well studied, however the association with accessing drug resistance testing (DRT) and the development of drug resistance have not been characterized. Between 1996-2014, 11 801 HIV patients accessing therapy in British Columbia were observed longitudinally. A subset of 9456 patients had testable viral load; of these 8398 were linked to census data. Sociodemographic (census tract-level) and clinical (individual-level) correlates of DRT were assessed using multivariable General Estimating Equation logistic regression adjusted odds ratios (aOR). The mean number of tests per patient was 2.1 (Q1-Q3; 0-3). Separately, any drug resistance was determined using IAS-USA (2013) list for 5703 initially treatment naïve patients without baseline resistance; 5175 were census-linked (mean of 1.5 protease-reverse transcriptase sequences/patient, Q1-Q3; 0-2). Correlates of detecting drug resistance in this subset were analyzed using Cox PH regression adjusted hazard ratios (aHR). Our results indicate baseline CD4 <200 cells/µL (aOR: 1.5, 1.3-1.6), nRTI-only baseline regimens (aOR: 1.4, 1.3-1.6), and unknown (therapy initiation before routine pVL in BC) baseline pVL (aOR: 1.8, 1.5-2.1) were among individual-level clinical covariates strongly associated with having accessed DRT; while imperfect adherence (aHR: 2.2, 1.9-2.5), low baseline CD4 count (aHR: 1.9, 1.6-2.3), and high baseline pVL (aHR: 2.0, 1.6-2.6) were associated with a higher likelihood of developing drug resistance. A higher median income (aOR: 0.83, 0.77-0.89) and higher percentage of those with aboriginal ancestry (aOR: 0.85, 0.76-0.95) were census tract-level sociodemographic covariates associated with decreased access to DRT. Similarly, aboriginal ancestry (aHR: 1.2, 1.1-1.5) was associated with development of drug resistance. In conclusion, clinical covariates continue to be the strongest correlates of development of drug resistance and access to DRT for individuals. Regions of high median income and high aboriginal ancestry were weak census-level sociodemographic indicators of reduced DRT uptake, however high aboriginal ancestry was the only sociodemographic indicator for development of drug resistance.

Multiple Gene-Environment Interactions on the Angiogenesis Gene-Pathway Impact Rectal Cancer Risk and Survival.

Characterization of gene-environment interactions (GEIs) in cancer is limited. We aimed at identifying GEIs in rectal cancer focusing on a relevant biologic process involving the angiogenesis pathway and relevant environmental exposures: cigarette smoking, alcohol consumption, and animal protein intake. We analyzed data from 747 rectal cancer cases and 956 controls from the Diet, Activity and Lifestyle as a Risk Factor for Rectal Cancer study. We applied a 3-step analysis approach: first, we searched for interactions among single nucleotide polymorphisms on the pathway genes; second, we searched for interactions among the genes, both steps using Logic regression; third, we examined the GEIs significant at the 5% level using logistic regression for cancer risk and Cox proportional hazards models for survival. Permutation-based test was used for multiple testing adjustment. We identified 8 significant GEIs associated with risk among 6 genes adjusting for multiple testing: TNF (OR = 1.85, 95% CI: 1.10, 3.11), TLR4 (OR = 2.34, 95% CI: 1.38, 3.98), and EGR2 (OR = 2.23, 95% CI: 1.04, 4.78) with smoking; IGF1R (OR = 1.69, 95% CI: 1.04, 2.72), TLR4 (OR = 2.10, 95% CI: 1.22, 3.60) and EGR2 (OR = 2.12, 95% CI: 1.01, 4.46) with alcohol; and PDGFB (OR = 1.75, 95% CI: 1.04, 2.92) and MMP1 (OR = 2.44, 95% CI: 1.24, 4.81) with protein. Five GEIs were associated with survival at the 5% significance level but not after multiple testing adjustment: CXCR1 (HR = 2.06, 95% CI: 1.13, 3.75) with smoking; and KDR (HR = 4.36, 95% CI: 1.62, 11.73), TLR2 (HR = 9.06, 95% CI: 1.14, 72.11), EGR2 (HR = 2.45, 95% CI: 1.42, 4.22), and EGFR (HR = 6.33, 95% CI: 1.95, 20.54) with protein. GEIs between angiogenesis genes and smoking, alcohol, and animal protein impact rectal cancer risk. Our results support the importance of considering the biologic hypothesis to characterize GEIs associated with cancer outcomes.

Changes in mortality rates and causes of death in a population-based cohort of persons living with and without HIV from 1996 to 2012.

BACKGROUND: Non-HIV/AIDS-related diseases are gaining prominence as important causes of morbidity and mortality among people living with HIV. The purpose of this study was to characterize and compare changes over time in mortality rates and causes of death among a population-based cohort of persons living with and without HIV in British Columbia (BC), Canada. METHODS: We analysed data from the Comparative Outcomes And Service Utilization Trends (COAST) study; a retrospective population-based study created via linkage between the BC Centre for Excellence in HIV/AIDS and Population Data BC, and containing data for HIV-infected individuals and the general population of BC, respectively. Our analysis included all known HIV-infected adults (≥ 20 years) in BC and a random 10% sample of uninfected BC adults followed from 1996 to 2012. Deaths were identified through Population Data BC - which contains information on all registered deaths in BC (BC Vital Statistics Agency dataset) and classified into cause of death categories using International Classification of Diseases (ICD) 9/10 codes. Age-standardized mortality rates (ASMR) and mortality rate ratios were calculated. Trend test were performed. RESULTS: 3401 (25%), and 47,647 (9%) individuals died during the 5,620,150 person-years of follow-up among 13,729 HIV-infected and 510,313 uninfected individuals, respectively. All-cause and cause-specific mortality rates were consistently higher among HIV-infected compared to HIV-negative individuals, except for neurological disorders. All-cause ASMR decreased from 126.75 (95% CI: 84.92-168.57) per 1000 population in 1996 to 21.29 (95% CI: 17.79-24.79) in 2011-2012 (83% decline; p < 0.001 for trend), compared to a change from 7.97 (95% CI: 7.61-8.33) to 6.87 (95% CI: 6.70-7.04) among uninfected individuals (14% decline; p < 0.001). Mortality rates from HIV/AIDS-related causes decreased by 94% from 103.85 per 1000 population in 1996 to 6.72 by the 2011-2012 era (p < 0.001). Significant ASMR reductions were also observed for hepatic/liver disease and drug abuse/overdose deaths. ASMRs for neurological disorders increased significantly over time. Non-AIDS-defining cancers are currently the leading non-HIV/AIDS-related cause of death in both HIV-infected and uninfected individuals. CONCLUSIONS: Despite the significant mortality rate reductions observed among HIV-infected individuals from 1996 to 2012, they still have excess mortality risk compared to uninfected individuals. Additional efforts are needed to promote effective risk factor management and appropriate screening measures among people living with HIV.

Tobacco Use Among Siblings of Childhood Cancer Survivors: A Report From the Childhood Cancer Survivor Study.

BACKGROUND: Having a brother or sister with childhood cancer may influence health behaviors during adulthood. The aim of this study was to compare tobacco use in siblings of survivors with peers and to identify factors associated with sibling tobacco use. PROCEDURES: A retrospective cohort study was conducted using adult siblings (N = 1,974) of 5+ year cancer survivors in the Childhood Cancer Survivor Study (CCSS) and participants (N = 24,105, weighted to match CCSS) in the 2007 National Health Interview Survey. Self-reported tobacco use, sociodemographic, and cancer-related risk factors were analyzed. RESULTS: Siblings were equally likely to have ever smoked compared to their peers (odds ratio [OR] 1.02, 95% confidence interval [CI] 0.93-1.12). Siblings were less likely to be current smokers (OR 0.83, 95%CI 0.73-0.94), but more likely to be former smokers (OR 1.21, 95%CI 1.08-1.35). Siblings with low education were more likely to ever smoke (OR 1.51, 95%CI 1.15-2.00) and be current smokers (OR 1.67, 95%CI 1.24-2.26) compared to their peers. Among siblings, risk factors for current tobacco use included the following: low income <$20,000 (OR 1.66, 95%CI 1.09-2.54), low education (OR 6.68, 95%CI 4.07-10.97), psychological distress (OR 5.36, 95%CI 2.21-13.02), and heavy alcohol use (OR 3.68, 95%CI 2.50-5.41). CONCLUSIONS: Siblings of survivors take up smoking at similar rates to their peers, but are more likely to quit. Efforts are needed to address disparities by providing greater psychosocial support and education for the lowest socioeconomic status families facing childhood cancer.

A Candidate-Pathway Approach to Identify Gene-Environment Interactions: Analyses of Colon Cancer Risk and Survival.

BACKGROUND: Genetic association studies have traditionally focused on associations between individual single nucleotide polymorphisms (SNPs) and disease. Standard analysis ignores interactions between multiple SNPs and environmental exposures explaining a small portion of disease heritability: the often-cited issue of "missing heritability." METHODS: We present a novel three-step analytic framework for modeling gene-environment interactions (GEIs) between an angiogenesis candidate-gene pathway and three lifestyle exposures (dietary protein, smoking, and alcohol consumption) on colon cancer risk and survival. Logic regression was used to summarize the gene-pathway effects, and GEIs were modeled using logistic regression and Cox proportional hazards models. We analyzed data from 1541 colon cancer case patients and 1934 control subjects in the Diet, Activity and Lifestyle as a Risk Factor for Colon Cancer Study. RESULTS: We identified five statistically significant GEIs for colon cancer risk. For risk interaction, odds ratios (ORINT) and 95% confidence intervals (CIs) were FLT1(rs678714) and BMP4(rs17563) and smoking (ORINT = 1.64, 95% CI = 1.11 to 2.41 and ORINT = 1.60, 95% CI = 1.10 to 2.32, respectively); FLT1(rs2387632 OR rs9513070) and protein intake (ORINT = 1.69, 95% CI = 1.03 to 2.77); KDR(rs6838752) and TLR2(rs3804099) and alcohol (ORINT = 1.53, 95% CI = 1.10 to 2.13 and ORINT = 1.59, 95% CI = 1.05 to 2.38, respectively). Three GEIs between TNF, BMP1, and BMPR2 genes and the three exposures were statistically significant at the 5% level in relation to colon cancer survival but not after multiple-testing adjustment. CONCLUSIONS: Adopting a comprehensive biologically informed candidate-pathway approach identified GEI effects on colon cancer. Findings may have important implications for public health and personalized medicine targeting prevention and therapeutic strategies. Findings from this study need to be validated in other studies.

Effects of supervised exercise on progression-free survival in lymphoma patients: an exploratory follow-up of the HELP Trial.

PURPOSE: Few randomized controlled trials in exercise oncology have examined survival outcomes. Here, we report an exploratory follow-up of progression-free survival (PFS) from the Healthy Exercise for Lymphoma Patients (HELP) Trial. METHODS: The HELP Trial randomized 122 lymphoma patients between 2005 and 2008 to either control (n = 62) or 12 weeks of supervised aerobic exercise (n = 60). PFS events were abstracted from medical records in 2013. In addition to the randomized comparison, we explored the effects of exercise adherence (<80 % vs. ≥80 %) and control group crossover (no vs. yes). RESULTS: After a median follow-up of 61 months (interquartile range 36-67), the adjusted 5-year PFS was 64.8 % for the exercise group compared with 65.0 % for the control group (Hazard ratio [HR] 1.01, 95 % CI 0.51-2.01, p = 0.98). In the secondary analysis, the adjusted 5-year PFS was 59.0 % in the control group without crossover compared with 69.2 % for the control group with crossover (HR 0.68, 95 % CI 0.22-2.06, p = 0.49), 67.7 % for the exercise group with <80 % adherence (HR 0.72, 95 % CI 0.28-1.85, p = 0.50), and 68.4 % for the exercise group with ≥80 % adherence (HR 0.70, 95 % CI 0.32-1.56, p = 0.39). In a post hoc analysis combining the three groups that received supervised exercise, the adjusted 5-year PFS for the supervised exercise groups was 68.5 % compared with 59.0 % for the group that received no supervised exercise (HR 0.70, 95 % CI 0.35-1.39, p = 0.31). CONCLUSIONS: This exploratory follow-up of the HELP Trial suggests that supervised aerobic exercise may be associated with improved PFS in lymphoma patients. Larger trials designed to answer this question are needed.

Assessing SNP-SNP interactions among DNA repair, modification and metabolism related pathway genes in breast cancer susceptibility.

Genome-wide association studies (GWASs) have identified low-penetrance common variants (i.e., single nucleotide polymorphisms, SNPs) associated with breast cancer susceptibility. Although GWASs are primarily focused on single-locus effects, gene-gene interactions (i.e., epistasis) are also assumed to contribute to the genetic risks for complex diseases including breast cancer. While it has been hypothesized that moderately ranked (P value based) weak single-locus effects in GWASs could potentially harbor valuable information for evaluating epistasis, we lack systematic efforts to investigate SNPs showing consistent associations with weak statistical significance across independent discovery and replication stages. The objectives of this study were i) to select SNPs showing single-locus effects with weak statistical significance for breast cancer in a GWAS and/or candidate-gene studies; ii) to replicate these SNPs in an independent set of breast cancer cases and controls; and iii) to explore their potential SNP-SNP interactions contributing to breast cancer susceptibility. A total of 17 SNPs related to DNA repair, modification and metabolism pathway genes were selected since these pathways offer a priori knowledge for potential epistatic interactions and an overall role in breast carcinogenesis. The study design included predominantly Caucasian women (2,795 cases and 4,505 controls) from Alberta, Canada. We observed two two-way SNP-SNP interactions (APEX1-rs1130409 and RPAP1-rs2297381; MLH1-rs1799977 and MDM2-rs769412) in logistic regression that conferred elevated risks for breast cancer (P(interaction)<7.3 × 10(-3)). Logic regression identified an interaction involving four SNPs (MBD2-rs4041245, MLH1-rs1799977, MDM2-rs769412, BRCA2-rs1799943) (P(permutation) = 2.4 × 10(-3)). SNPs involved in SNP-SNP interactions also showed single-locus effects with weak statistical significance, while BRCA2-rs1799943 showed stronger statistical significance (P(correlation/trend) = 3.2 × 10(-4)) than the others. These single-locus effects were independent of body mass index. Our results provide a framework for evaluating SNPs showing statistically weak but reproducible single-locus effects for epistatic effects contributing to disease susceptibility.