Citations

SummaryDaily self‐weighing is a weight management behaviour that requires a scale; however, scale ownership may be cost‐prohibitive for some patients. Our objective was to understand the proportion of primary care patients with a scale at home, and factors associated with home scale access, to potentially inform future interventions that facilitate scale access. Cross sectional survey of 216 adult patients from three primary care clinics: mixed‐income urban/suburban (n = 68); mixed‐income urban (n = 70); low‐income urban (n = 74). The dependent variable was presence of a home scale; bivariate associations were conducted with variables including demographics, insurance type, clinic setting and self‐reported height/weight. Mean age was 53 years; 71% women; 71% racial minority; mean body mass index 32 kg/m2. Overall, 56% had a home scale. Most (79%) white patients owned a scale, compared to 46% of racial minority patients (P < .01); 33% of low‐income patients owned scale, compared to over 66% of patients at the clinics serving mixed‐income populations (P < .01). Most low‐income urban clinic patients do not own a home scale. Because self‐weighing is an effective weight‐management behaviour, clinicians could consider assessing scale access, and future research should assess the health impact of providing scales to patients with overweight/obesity who desire weight loss or maintenance.

A goal of the 3rd phase of the Electronic Medical Records and Genomics (eMERGE3) Network was to examine the return of results (RoR) of actionable variants in more than 100 genes to consenting participants and their healthcare providers. Each of the 10 eMERGE sites developed plans for three essential elements of the RoR process: Disclosure to the participant, notification of the health care provider, and integration of results into the electronic health record (EHR). Procedures and protocols around these three elements were adapted as appropriate to individual site requirements and limitations. Detailed information about the RoR procedures at each site was obtained through structured telephone interviews and follow-up surveys with the clinical investigator leading or participating in the RoR process at each eMERGE3 institution. Because RoR processes at each of the 10 sites allowed for taking into account differences in population, disease focus and institutional requirements, significant heterogeneity of process was identified, including variability in the order in which patients and clinicians were notified and results were placed in the EHR. This heterogeneity in the process flow for eMERGE3 RoR reflects the “real world” of genomic medicine in which RoR procedures must be shaped by the needs of the patients and institutional environments.

Abstract Up to 85% of adult cancer survivors and 99% of adult survivors of childhood cancer live with an accumulation of chronic conditions, frailty, and/or cognitive impairments resulting from cancer and its treatment. Thus, survivors often show an accelerated development of multiple geriatric syndromes and need therapeutic interventions. To advance progress in this area, the National Cancer Institute convened the second of 2 think tanks under the auspices of the Cancer and Accelerated Aging: Advancing Research for Healthy Survivors initiative. Experts assembled to share evidence of promising strategies to prevent, slow, or reverse the aging consequences of cancer and its treatment. The meeting identified research and resource needs, including geroscience-guided clinical trials; comprehensive assessments of functional, cognitive, and psychosocial vulnerabilities to assess and predict age-related outcomes; preclinical and clinical research to determine the optimal dosing for behavioral (eg, diet, exercise) and pharmacologic (eg, senolytic) therapies; health-care delivery research to evaluate the efficacy of integrated cancer care delivery models; optimization of intervention implementation, delivery, and uptake; and patient and provider education on cancer and treatment-related late and long-term adverse effects. Addressing these needs will expand knowledge of aging-related consequences of cancer and cancer treatment and inform strategies to promote healthy aging of cancer survivors.

Abstract Background. The strongest established prognostic factors for follicular lymphoma are age and clinical factors. Biologic studies suggest a major role for the host immunologic environment in follicular lymphomagenesis, which is in part determined by host genetic background. Cytokines are key regulators of immune function and regulation, are highly polymorphic, and have been implicated in lymphoma etiology and prognosis. We evaluated the hypothesis that inherited variability in cytokine and related immune genes impact overall survival in follicular lymphoma. Methods. We genotyped 73 single nucleotide polymorphisms (SNPs) from 44 candidate cytokine and immune genes in 278 follicular lymphoma patients who participated in a population-based case-control study conducted from 1998–2000 in the Detroit, Iowa, Los Angeles and Seattle SEER (Surveillance, Epidemiology and End Results) cancer registries. Baseline clinical data and survival through early 2005 were obtained from cancer registry files. Cox proportional hazards analysis was used to estimate hazard ratios (HR) and corresponding 95% confidence intervals for the association between individual SNPs and overall survival, adjusting for age, demographic and clinical factors. We also used parallel modeling strategies to identify the best summary multi-SNP risk score to predict survival, and applied these results in a time-dependent receiver-operator characteristics (ROC) analysis. Results. The median age at diagnosis was 57 years (range, 25–74), and 59 (21%) of the patients died during follow-up, with a median follow-up of 59 months (range, 27 – 78 months) for surviving patients. In multivariate modeling, SNPs in IL8 (rs4073; HRTT=2.14, 1.26–3.63), IL2 (rs2069762; HRGT/TT=1.80, 1.06–3.05), IL12B (rs3212227; HRAA/CC=1.83, 1.06–3.06), and IL1RN (rs454078; HRAA=1.93, 1.11–3.34) were the strongest and most robust predictors of survival. A summary score of the number of deleterious genotypes from these four genes was strongly associated with survival (p=1.4 × 10−5) after accounting for demographic and clinical variables (HR=2.06 per deleterious genotype, 1.52–2.79). A combination of the four SNPs and the demographic and clinical risk scores was strongly associated with survival (p=1.8 × 10−11); the 5-year Kaplan Meier survival estimates were 96% (93%–100%), 72% (62%–83%) and 58% (48%–72%) for low, intermediate, and high risk groups respectively. In a time-dependent ROC analysis the three risk groups had an area under the curve (AUC) of 0.83 at 72 months of follow-up (95% CI 0.72–0.93). Conclusion: Host genetic variability in immune genes, particularly IL8, IL2, IL12B, and IL1RN, individually and particularly in combination, was associated with overall survival in follicular lymphoma after accounting for demographic and clinical factors. Host immunogenetics is a promising class of prognostic factors in follicular lymphoma that warrants further evaluation.

Abstract Subtle differences in immune response may play a role in non-Hodgkin lymphoma (NHL) etiology. Because adult immune response may be influenced by early childhood exposures, we examined the role of childhood crowding, history of atopic disease, and other childhood immune-related exposures on the risk of non-Hodgkin lymphoma in a multi-center case-control study. Interviews were completed with 1,321 cases ascertained from population-based cancer registries in Seattle, Detroit, Los Angeles and Iowa, and with 1,057 frequency-matched controls, selected by random-digit dialing and from the Health Care Financing Administration (HCFA) database. The association between NHL risk in relation to atopy and other exposures was assessed using multivariable logistic regression methods. Most types of allergy were associated with protection from NHL, with hay fever especially protective against all NHL combined (Odds Ratio [OR] = 0.71, 95% confidence interval [CI]= 0.54–0.94), diffuse large B-cell lymphoma [DLBCL] (OR=0.61, 95% CI=0.41–0.91), and follicular lymphoma (OR=0.70, 95% CI=0.45–1.09). A history of eczema increased risk of follicular lymphoma (OR=1.92, 95% CI= 1.08–3.41) but not DLBCL (OR=1.06, 95% CI= 0.55.2.04). Asthma in childhood was not associated with risk of NHL. Risk of DLBCL (OR =1.72, 95% CI=1.17–2.52), but not follicular lymphoma (OR=1.15, 95% CI=0.75–1.76) was elevated for the youngest compared to the oldest of siblings. Neither number of siblings nor years between births of siblings were significantly associated with risk. These results suggest that some immune-related exposures may affect NHL risk.

Abstract Background: Several studies suggest that smoking and obesity may increase the risk of developing NHL, but the impact of these factors on survival is relatively unexplored. One recent population-based Italian study found that smoking may negatively impact overall survival. Methods: We evaluated the association of body mass index (BMI) and cigarette smoking on overall survival in 1,286 patients who participated in a population-based case-control study conducted through the Surveillance, Epidemiology, and End Results (SEER) cancer registries in Detroit, Iowa, Seattle and Los Angeles. BMI (on 1189 participants) and a smoking history (on 471 participants) were obtained through in-person interviews. Histology, stage, presence of B symptoms, first course of therapy, date of last follow-up, and vital status were derived from linkage to registry databases at each study site in the spring of 2005. Hazard Ratios (HRs) and 95% confidence intervals were estimated using Cox proportional hazards models, while adjusting for demographic and clinical factors. Results: The median age at diagnosis was 58 years (range: 16 – 74), and the most common histologies were DLBCL (33%), follicular (25%), SLL/CLL (12%), marginal zone (9%), mantle cell (4%) and Peripheral T-cell (3%). The median BMI was 26.6 (range: 16.2 – 47.3), and 26% of patients were classified as obese (i.e. BMI &gt;30). Of patients with a smoking history, 47% had never smoked, 19% were active smokers at diagnosis, and 34% were former smokers. No significant differences were observed between those with and without tobacco use data in terms of primary lymphoma characteristics. Overall survival (OS) was defined as time from diagnosis to death due to any cause. Median follow-up on all living patients was 58 months (range: 4 – 78), and 333 patients had died. When BMI was assessed as a continuous measure, it was borderline significantly associated with OS (p=0.050). An indicator of whether or not BMI &gt; 30 was also significantly associated with OS (HR=1.30; 95% CI: 1.01 – 1.68; p=0.042). Ever vs. never smokers also exhibited a survival disadvantage (HR=1.66; 95% CI: 1.12 – 2.44; p=0.011). When broken down further, former smokers who had smoked for &gt;10 years (HR=1.61; 95% CI: 1.02 – 2.52; p=0.039) and current smokers (HR=1.79; 95% CI: 1.07 – 3.02; p=0.028) were at a survival disadvantage over those who had never smoked. When both smoking and BMI status were included in the model, only the indicator of being a current smoker remained statistically significant (p=0.031), with a trend toward decreased survival for former smokers who had smoked &gt;10 years (p=0.061) and those with BMI &gt;30 (p=0.058). Conclusions: NHL patients who smoke or are obese had a poorer overall survival. These observations warrant further investigation, including whether interventions for smoking cessation or weight loss can impact NHL survival.

Abstract Background: Multiple myeloma (MM) is an incurable hematological malignancy characterized by the expansion of a plasma cell clone that localizes to the bone marrow. Stromal cells residing in the bone marrow respond to signals from MM cells and other cell types by producing cytokines and other proteins that stimulate tumor cell growth, survival, adhesion, migration, and drug resistance. We have examined the proteins produced by stromal cells in response to stimulation by bone marrow from patients diagnosed with monoclonal gammopathy of undetermined significance (MGUS), smoldering multiple myeloma (SMM), and MM. Furthermore, we have begun analyzing the properties of one of these proteins, the pro-angiogenic chemokine IL-8, in MM. Methods: Bone marrow aspirates from patients with MGUS (n=3), SMM (n=7), and MM (n=6) were cultured for 48 hours, and the culture supernatants were incubated with stromal cells for an additional 48 hours. Protein levels were analyzed using antibody array and ELISA. Microvessel density (MVD) was determined as a measure of angiogenesis in patient bone marrow samples using CD34 staining. Flow cytometry analysis of MM cell lines and patient bone marrow samples was performed using monoclonal antibodies against IL-8 receptors CXCR1 and CXCR2. Results and Conclusion: We observed a significant increase in stromal cell IL-8 production stimulated by bone marrow cells from patients with active myeloma and a subset of SMM patients (16.67 ± 9.82 ng/ml) in comparison to bone marrow of patients with MGUS and all other SMM patients (0.55 ± 0.17 ng/ml; P=0.0004). Use of an IL-1 inhibitor and recombinant IL-1β demonstrated that IL-8 production was dependent upon IL-1β signaling. Increased BM microvessel density correlated with stimulation of stromal cell IL-8 production (P=0.0005). Furthermore, the majority of MM cell lines (7/9) and MM patient plasma cells were found to express IL-8 receptors CXCR1 and CXCR2. In addition to its function as a pro-angiogenic factor, IL-8 may directly influence MM cells through its CXCR1 and CXCR2 receptors. We conclude that stromal cell IL-8 production parallels MM disease activity, is IL-1β induced, correlates with bone marrow angiogenesis, and may influence MM disease via impact upon both the microenvironment and tumor cells.

Abstract Background: Conventional cytogenetic studies in myeloproliferative neoplasms (MPNs) have provided pathogenetic, diagnostic and prognostic information and in certain instances guide therapeutic decisions. It is therefore reasonable to hypothesize that a higher resolution examination of chromosomes might reveal additional changes that are scientifically as well as clinically relevant. Methods: Granulocyte DNA from 70 patients (median age 56 years, range 18–84; 43 males) with classic BCR-ABL-negative MPNs were studied: 27 with primary myelofibrosis (PMF), 22 with polycythemia vera (PV), 12 with essential thrombocythemia (ET), 6 with post-ET MF and 3 with post-PV MF. Twelve healthy volunteers were used as controls. Cytogenetic information, collected at variable times before the current study, was available in 57 patients. Samples were analyzed by comparative genomic hybridization (CGH) with a gender matched normal control using oligoarrays with either 44,000 or 105,000 oligonucleotides. Data were analyzed with CGH Analytics (Agilent). Copy number changes were considered significant (CNCs) if they were defined by 4 or more adjacent oligonucleotides spanning at least 150,000 base pairs, contained at least one gene, and were not identified in the Database of Genomic Variants. Results: Array CGH results were equivocal in 6 cases, which were therefore excluded from further analysis. Among the 12 normal controls, granulocyte DNA displayed no CNCs. The percentage of patients with CNCs was 52% for PMF, 32% for PV and 17% for ET. In addition, 2 of 6 patients with post-ET MF and 1 of 2 patients with post-PV MF displayed CNCs. There was no correlation between the occurrence of CNCs and JAK2V617F mutational status in PMF and ET. Array CGH revealed CNCs in 16 of 49 patients (33%) with normal and 7 of 8 patients (88%) with abnormal cytogenetic findings; one patient with t(2;12)(p13;q14) in 19 of 20 metaphases detected at 9 months prior to sample collection for the array CGH study displayed no CNCs. In patients with abnormal cytogenetic findings, array CGH also detected imbalances at chromosomal translocations, including t(1;6), t(9;11), and t(1;18), as well as additional abnormalities that were not detected by cytogenetic analysis. A total of 23 single occurrence CNCs were documented and included all the ET [del(2)(q31.3q32.1), del(10)(q11.21q11.22)] and post-ET MF [del(2p12), del(Xq12)] associated CNCs. In contrast, several specific abnormalities were shared between PV and PMF including del(6p22) and dup(15q11.2). As expected, del(13q) and del(20q) abnormalities were recurrent in PMF. Conclusions: Conventional cytogenetic analysis underestimates the extent of genomic gains and losses in BCR-ABL-negative MPNs. The current study suggests that oligonucleotide array CGH is more sensitive to detect small genomic alterations and we are currently studying higher resolution arrays in a larger group of patients to detect additional genomic alterations as well as assess overall clinical utility. The current data also suggest that chromosomal translocations are commonly associated with imbalances.

Abstract Background: Mantle cell lymphoma (MCL) is an incurable non-Hodgkin lymphoma. MCL is characterized by the chromosomal translocation t(11;14) leading to overexpression of cyclin D1 (CCND1), a regulator of the cell cycle. NF-κB plays a central role in key cellular processes, including cell cycle regulation and apoptosis, and it has been shown to be constitutively activated in MCL cell lines and in patient biopsy samples and to play a key role in the growth and survival of MCL cells. In an exploratory study, we evaluated the hypothesis that germline variation in candidate genes from the cell cycle and NF-κB pathways predict overall survival in MCL. Methods: We genotyped 235 SNPs from 29 cell cycle genes and 447 SNPs from 55 NF-κB genes in 39 MCL patients aged 38–64 years who participated in a population-based study conducted from 1998–2000 through the Surveillance, Epidemiology, and End Results (SEER) cancer registries in Detroit, Seattle, Iowa, and Los Angeles county. Tagging single nucleotide polymorphisms (SNPs) were selected from HapMap. Stage, presence of B-symptoms, first course of therapy, date of last follow-up, and vital status were derived from linkage to registry databases at each study site. To assess the statistical significance of a gene, we first used principal components analysis to capture the genetic variation of the SNPs within a gene. Cox proportional hazards analysis was then used to assess the association between the top principal components from a gene with overall survival. Results: Through early 2005, there were 22 deaths in 39 patients (56%). The median follow-up of the 17 surviving patients was 56 months (range 36–70). Eleven of the 55 genes (TNFSF14 p=0.0007, NF-κBIA p=0.003, IL1R2 p=0.01, TNFRSF25 p=0.02, TNFSF13B p=0.02, FAS p=0.03, TLR2 p=0.04, TNFSF10D p=0.04, TNFSF10 p=0.06, MAP3K2 p=0.06) in the NF-κB pathway were associated with overall survival. In the cell cycle pathway, only 3 of the 29 genes (CASP5 p=0.06, CASP9 p=0.09, BCL2 p=0.09) were associated with overall survival, and a previously reported SNP in CCND1 (rs603965) showed no association (p=0.5). Permutation p-values for observing at least this number of associated tests in each pathway due to chance (from multiple testing) was p=0.8 for the cell cycle pathway and p=0.03 for NF-κB pathway. The small sample size precluded multi-gene modeling. Conclusion: In a population series of MCL patients, we found suggestive evidence that host genetic variation in candidate NF-κB pathway genes affects overall survival. These results complement tumor expression data implicating this pathway in the pathogenesis of MCL. In addition, such findings further support the value of developing therapeutic targets from this pathway.